CN112651846A - Large-scale producer and consumer energy management method and system based on alternating direction multiplier method - Google Patents

Large-scale producer and consumer energy management method and system based on alternating direction multiplier method Download PDF

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CN112651846A
CN112651846A CN202011477698.8A CN202011477698A CN112651846A CN 112651846 A CN112651846 A CN 112651846A CN 202011477698 A CN202011477698 A CN 202011477698A CN 112651846 A CN112651846 A CN 112651846A
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艾欣
王坤宇
胡寰宇
潘玺安
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North China Electric Power University
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Abstract

The invention discloses a large-scale producer and consumer energy management method and system based on an alternating direction multiplier method.

Description

Large-scale producer and consumer energy management method and system based on alternating direction multiplier method
Technical Field
The invention relates to the technical field of energy management of both an obstetrician and a stillboard, in particular to a large-scale energy management method and system of both the obstetrician and the stillboard based on an alternating direction multiplier method.
Background
With the increase of controllability of distributed power generation units such as roof photovoltaic and the like, distributed energy storage characteristic units such as electric vehicles and the like and power utilization equipment in a power distribution network, power consumers which exist in the system only as loads in the prior art begin to have power supply characteristics, and the main form of the power consumers begins to be changed to producers and consumers with source-load duality, so that great change is brought to the operation of the power distribution network. From the view point of power distribution network operation, the flexibility of power generation and utilization energy resources of the power distribution network can be enhanced by reasonably scheduling the operation of large-scale producers and consumers, but from the view point of model solution, the practical application problem of the large-scale producers and consumers under operation, which cannot be met by a conventional centralized energy management mode, is difficult to solve by a conventional method, and a common user serving as a producer and consumer main body may not want to provide operation parameters containing self electricity utilization habit characteristics to a centralized energy management center, so that the conventional centralized energy management mode needs to be changed.
At present, some researches start from an algorithm perspective, distributed algorithms such as a game theory, a consistency algorithm and a dual gradient method are introduced, a traditional centralized energy management architecture is improved to a certain extent, and various distributed iteration forms of the energy management architecture based on signal guidance are constructed, but complete parallelism in iteration is not easy to realize by sequential iteration methods such as the consistency algorithm, and meanwhile, iteration such as the dual gradient method faces the problems of slow convergence, difficult parameter adjustment and the like. Therefore, it is necessary to improve the parallelism and convergence of the distributed energy management of the producers and consumers to actually utilize the energy resources of the large-scale producers and consumers.
Disclosure of Invention
The invention aims to provide a large-scale producer and consumer energy management method and system based on an alternating direction multiplier method, and improve the parallelism and convergence of distributed producer and consumer energy management.
In order to achieve the purpose, the invention provides the following scheme:
a large-scale producer and consumer energy management method based on an alternating direction multiplier method comprises the following steps:
constructing an energy management initial model of the energy management terminal of the producer and the consumer based on basic data of the energy management terminal of the producer and the consumer and with the aim of minimizing the maintenance cost and/or minimizing the use dissatisfaction degree utility of each terminal unit in the energy management terminal of the producer and the consumer;
constructing an overall scheduling initial model by aiming at minimizing the electricity purchasing cost of a producer and consumer group management center;
respectively correcting the energy management initial model and the overall scheduling initial model by adopting an approximate Jacobi alternative direction multiplier method to obtain an energy management correction model and an overall scheduling correction model;
updating a first auxiliary multiplier, a second auxiliary multiplier and a Lagrange multiplier vector in the energy management correction model and the overall scheduling correction model by adopting a power signal and model parameter interaction mode to obtain an energy management update model and an overall scheduling update model;
and performing energy management of the birth and consumption person by using an energy management updating model and an overall scheduling updating model.
Optionally, the constructing an energy management initial model of the energy management terminal of the producer and the consumer based on the basic data of the energy management terminal of the producer and the consumer with the goal of minimizing the maintenance cost and/or minimizing the utility of the dissatisfaction degree of each terminal unit in the energy management terminal of the producer and the consumer specifically includes:
judging whether a kth terminal unit in the energy management terminal of the producer and the consumer is an uncontrollable power generation unit or not to obtain a first judgment result;
if the first judgment result shows that the terminal is a true terminal, based on the basic data of the energy management terminal of the producer and the consumer, aiming at minimizing the maintenance cost of the kth terminal unit, constructing an energy management objective function of the kth terminal unit as follows: f. ofi,k,t=c1,i,kPi,k,t(ii) a Wherein f isi,k,tRepresenting the energy management objective function of the kth terminal unit in the energy management terminal i of the producer during the period t, c1,i,kIndicating kth terminal among energy management terminals i of a prenatal or postmorterMaintenance cost of the unit during time t, Pi,k,tRepresenting the power load of the kth terminal unit in the energy management terminal i of the producer and the consumer in a period T, wherein T is the number of time periods contained in the energy management cycle; the constraint conditions for constructing the kth terminal unit are as follows: pi,k,t=-Pi,GEN,t(ii) a Wherein, Pi,GEN,tRepresenting the predicted output of the uncontrollable power generation unit contained in the energy management terminal i of the producer and the consumer in the time period t;
if the first judgment result shows that the terminal unit is a rigid load unit, judging whether a kth terminal unit in the energy management terminal of the person in labor and consumption is a rigid load unit or not, and obtaining a second judgment result;
if the second judgment result shows that the terminal is the k terminal unit, based on the basic data of the energy management terminal of the producer and the consumer, the utilization dissatisfaction degree and utility of the k terminal unit are minimized as targets, and an energy management objective function of the k terminal unit is constructed as
Figure BDA0002836149980000031
Wherein the content of the first and second substances,
Figure BDA0002836149980000032
and
Figure BDA0002836149980000033
respectively representing dissatisfaction degree utility coefficients caused when the working period of the kth terminal unit in the energy management terminal i of the producer and the expected period have positive and negative deviations;
Figure BDA0002836149980000034
and
Figure BDA0002836149980000035
respectively representing the starting time and the ending time of a desired period of the kth terminal unit in the energy management terminal i of the producer and the consumer; p2,i,kRepresenting the rated power of the kth terminal unit in the energy management terminal i of the obstetrician; the constraint conditions for constructing the kth terminal unit are as follows:
Figure BDA0002836149980000036
wherein s isi,k,t-1And si,k,tVariables describing the working state of the kth terminal unit in the energy management terminal i of the obstetrician and the energy management terminal i in the t-1 time period and the t time period respectively; on is ani,k,t-1And offi,k,t-1Respectively describing a variable for describing whether a kth terminal unit in the energy management terminal i of a deputy carries out startup operation or not in a t period and a variable for describing shutdown operation; t is the number of time segments contained in the energy management cycle;
if the second judgment result shows that the current terminal unit is not the temperature control load unit, judging whether a kth terminal unit in the energy management terminal of the person who produces or disappears is the temperature control load unit or not, and obtaining a third judgment result;
if the third judgment result shows that the terminal is a right terminal, based on the basic data of the energy management terminal of the producer and the consumer, and with the use dissatisfaction degree utility minimization of the kth terminal unit as a target, constructing an energy management objective function of the kth terminal unit as follows:
Figure BDA0002836149980000037
wherein, γ3,i,kIndoor temperature representing time period t of place of kth terminal unit in energy management terminal i of producer
Figure BDA0002836149980000038
Comfortable temperature
Figure BDA0002836149980000039
The unsatisfactory degree utility coefficient caused by the deviation; the constraint conditions for constructing the kth terminal unit are as follows:
Figure BDA00028361499800000310
wherein, Pi,k,maxAnd Pi,k,minUpper and lower limits, G, respectively, of power for the kth terminal unit in the energy management terminal i of the produceri,kAnd Ci,kRespectively managing the thermal mass and thermal conductivity parameters of the kth terminal unit in the terminal i for the energy of the producer and the consumer; tau represents an energy management scheduling interval and takes the value of the number of hours of the energy management period divided byThe number of time segments T contained in the energy management cycle;
Figure BDA0002836149980000041
managing the outdoor temperature of the place where the kth terminal unit in the terminal i is located in the period t for the energy of the producer;
if the third judgment result shows that the terminal unit is not the energy storage characteristic unit, judging whether a kth terminal unit in the energy management terminal of the person who produces or disappears is the energy storage characteristic unit, and obtaining a fourth judgment result;
if the fourth judgment result shows that the terminal unit is a k-th terminal unit, constructing an energy management objective function of the k-th terminal unit based on the basic data of the energy management terminal of the producer and the consumer as follows: f. ofi,k,t0; the constraint conditions for constructing the kth terminal unit are as follows:
Figure BDA0002836149980000042
wherein the content of the first and second substances,
Figure BDA0002836149980000043
and
Figure BDA0002836149980000044
respectively representing the charging power and the discharging power of a kth terminal unit in the energy management terminal i of the obstetrician during a period t;
Figure BDA0002836149980000045
and
Figure BDA0002836149980000046
respectively representing the charging power and the discharging power of the kth terminal unit in the energy management terminal i of the obstetrician during the t-1 period,
Figure BDA0002836149980000047
a variable describing the charge-discharge state of the kth terminal unit in the energy management terminal i of the obstetrician and the energy management terminal i in the period t;
Figure BDA0002836149980000048
and
Figure BDA0002836149980000049
respectively representing the upper limit and the lower limit of the charging power of the kth terminal unit in the energy management terminal i of the producer and the consumer;
Figure BDA00028361499800000410
and
Figure BDA00028361499800000411
respectively representing the upper limit and the lower limit of the discharge power of the kth terminal unit in the energy management terminal i of the producer and the consumer; ei,k,tRepresenting the energy value stored by the kth terminal unit in the energy management terminal i of the obstetrician in the t period;
Figure BDA00028361499800000412
and
Figure BDA00028361499800000413
respectively representing the charging efficiency and the discharging efficiency of the kth terminal unit in the energy management terminal i of the producer and the consumer; ei,k,maxAnd Ei,k,minRespectively representing the upper limit and the lower limit of the stored energy of the kth terminal unit in the energy management terminal i of the producer and the consumer;
increasing the value of k by 1, returning to the step of judging whether the kth terminal unit in the energy management terminal of the producer and consumer is an uncontrollable power generation unit or not to obtain a first judgment result until the value of k reaches the number of the terminal units in the energy management terminal of the producer and consumer, and obtaining a target function and a constraint condition of each terminal unit in the energy management terminal of the producer and consumer;
integrating the objective function of each terminal unit in the energy management terminal of the producer and the consumer to obtain the integrated objective function of
Figure BDA00028361499800000414
Wherein f isi,tRepresenting the total objective function, f, of the energy management terminal i of the producer or consumer during the time period tiTarget function after integration of energy management terminal i of the obstetrician in the energy management cycleCounting;
according to the integrated objective function and the constraint conditions of each terminal unit in the energy management terminal of the obstetrician and the stills, constructing an energy management initial model of the energy management terminal of the obstetrician and the stills as follows:
Figure BDA0002836149980000051
wherein z (i) is a collection of constraints for each terminal unit in the energy management terminal for the producer and the consumer.
Optionally, the constructing an overall scheduling initial model with the goal of minimizing the electricity purchasing cost of the producer/consumer group management center specifically includes:
constructing an objective function g of the steward and stills group management center in each time period by taking the minimization of the electricity purchasing cost of the steward and stills group management center as an objective0,t(P0,t) Comprises the following steps: g0,t(P0,t)=c0,g,t(P0,t+|P0,t|)/2-c0,s,t(P0,t-|P0,tI)/2; wherein, c0,g,tAnd c0,s,tRespectively representing the electricity purchasing price and the electricity selling price of the producer and consumer group management center as an agent for purchasing and selling electricity; p0,tRepresenting the total net electricity purchasing power value of the deputy group management center as an agent in the time period t;
using formulas
Figure BDA0002836149980000052
Respectively integrating the power consumption of each terminal unit in each producer and consumer energy management terminal to obtain the total power consumption of each producer and consumer energy management terminal in each time period; wherein, Pi,k,tRepresenting the electricity load of the kth terminal unit in the energy management terminal i of the producer in the time period t, Pi,tRepresenting the total power consumption of the energy management terminal i of the obstetrician in the time period t;
according to the total power consumption of each energy management terminal of the obstetrics and gynecology department in each time period, the constraint conditions for constructing the management center of the obstetrics and gynecology department group are as follows:
Figure BDA0002836149980000053
wherein, P0The method comprises the steps that 1 xT-dimensional power vectors are formed by using a producer and consumer group management center as an agent in the whole net electricity purchasing power value of each time interval in an energy management cycle, wherein T represents the number of the time intervals in the energy management cycle;
according to the objective function of the manager group management center of each period and the constraint conditions of the manager group management center, an overall scheduling initial model is constructed as follows:
Figure BDA0002836149980000054
g0(P0) Representing the objective function of the management center of the group of the parity of the victims in the energy management cycle.
Optionally, the energy management initial model and the overall scheduling initial model are modified by using an approximate jacobian alternating direction multiplier method, respectively, to obtain an energy management modified model and an overall scheduling modified model, which specifically includes:
correcting the energy management initial model by adopting an approximate Jacobian alternative direction multiplier method to obtain an energy management correction model as follows:
Figure BDA0002836149980000061
wherein the content of the first and second substances,
Figure BDA0002836149980000062
and
Figure BDA0002836149980000063
p corresponding to the energy management correction model and the energy management initial model of the energy management terminal i of the birth-stills at the nth iterationiIs the value of an objective function of a variable, PiA 1 xT-dimensional power vector formed by the total power consumption of the energy management terminal i of the producer and the consumer in each period of the energy management cycle;
Figure BDA0002836149980000064
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the nth iteration; pi n-1And Pi nRespectively representing 1 xT-dimensional power vectors formed by the total power consumption of the energy management terminal i of the producer and the consumer in each period of the energy management cycle in the (n-1) th iteration and the nth iteration; delta Pn-1And Δ PnRespectively representing unbalance vectors of the purchased electric power of the central agent of the producer and consumer group management and the total electric power of the producer and consumer in the n-1 th iteration and the n-th iteration; rhon、σnRespectively a first auxiliary multiplier and a second auxiliary multiplier in the approximate Jacobian alternating direction multiplier method in the nth iteration; lambda [ alpha ]nIs a 1xT Lagrange multiplier vector in the nth iteration; | | | represents a 2-norm; z (i) a collection of constraints for each terminal unit in the energy management terminal for the producer and consumer;
and (3) correcting the overall scheduling initial model by adopting an approximate Jacobian alternative direction multiplier method to obtain an overall scheduling correction model as follows:
Figure BDA0002836149980000067
wherein the content of the first and second substances,
Figure BDA0002836149980000068
p corresponding to the overall scheduling correction model and the overall scheduling initial model of the n-th iteration-time producer and consumer group management center0As an objective function of a variable, P0A 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time period of the energy management cycle;
Figure BDA0002836149980000069
representing a 1 xT-dimensional power vector formed by the total power consumption of the energy management terminal j of the obstetrical and abortive person in each period of the energy management cycle during the (n-1) th iteration, wherein I represents the number of the obstetrical and abortive persons managed by the obstetrical and abortive person group management center;
Figure BDA00028361499800000610
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the (n-1) th iteration; z (0) denotes the management center of the group of the parity ofA collection of constraints.
Optionally, the updating the vectors of the first auxiliary multiplier, the second auxiliary multiplier, and the lagrangian multiplier in the energy management correction model and the overall scheduling correction model by using a power signal and model parameter interaction manner to obtain the energy management update model and the overall scheduling update model specifically includes:
formula for central utilization of group management of the patients of both birth and consumption
Figure BDA0002836149980000071
Updating the first auxiliary multiplier to obtain a first auxiliary multiplier of the (n + 1) th iteration; using a formula according to the updated first auxiliary multiplier
Figure BDA0002836149980000072
Updating the second auxiliary multiplier and the Lagrange multiplier vector to obtain a second auxiliary multiplier and a Lagrange multiplier vector of the (n + 1) th iteration; issuing the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier vector of the (n + 1) th iteration to each producer and consumer energy management terminal; where ρ isnAnd ρn+1First auxiliary multipliers, x, representing the nth and n +1 th iterations, respectivelynAnd ynRespectively representing the original gap and the dual gap in the alternate iteration process in the nth iterationn+1A second auxiliary multiplier representing the (n + 1) th iteration, I representing the number of the parity producers managed by the parity producer group management center, and lambdanAnd λn+1Lagrange multiplier vectors, P, representing the nth and n +1 th iterations, respectivelyi nRepresents a 1 xT-dimensional power vector composed of the total power consumption of the energy management terminal i of the passive at each period of the energy management cycle at the nth iteration,
Figure BDA0002836149980000073
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the nth iteration;
each producer and consumer energy management terminal respectively brings a first auxiliary multiplier, a second auxiliary multiplier and a Lagrange multiplier vector of the (n + 1) th iteration into an energy management correction model in parallel based on basic data of the producer and consumer energy management terminal, calculates to obtain a 1 xT-dimensional power vector formed by the total power consumption of the producer and consumer energy management terminal in each period of an energy management cycle during the (n + 1) th iteration of each producer and consumer energy management terminal, and respectively sends the power vector to a producer and consumer group management center;
the method comprises the steps that a producer and consumer group management center brings updated first auxiliary multipliers, second auxiliary multipliers and Lagrange multiplier vectors into an overall scheduling correction model, and a 1 xT-dimensional power vector formed by the overall net electricity purchasing power value of the producer and consumer group management center in each time period of an energy management cycle during the n +1 th iteration of the producer and consumer group management center is obtained through calculation;
the manager group management center uses a formula according to a 1 xT-dimensional power vector formed by the total power consumption of the manager energy management terminals in each time interval of the energy management cycle during the (n + 1) th iteration of each manager energy management terminal and a 1 xT-dimensional power vector formed by the whole net power purchasing power value of the manager group management center in each time interval of the energy management cycle during the (n + 1) th iteration of the manager group management center
Figure BDA0002836149980000081
Calculating the original gap x in the alternate iteration process of the (n + 1) th iterationn+1And dual gap yn+1(ii) a Wherein, Pi n+1Represents a 1 xT-dimensional power vector composed of the total power consumption of the energy management terminal i of the passive at each period of the energy management cycle at the (n + 1) th iteration,
Figure BDA0002836149980000082
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each period of the energy management cycle during the (n + 1) th iteration;
judging whether the original clearance and the dual clearance in the alternate iteration process in the (n + 1) th iteration are both smaller than
Figure BDA0002836149980000085
Obtaining a fifth judgment result;
if the fifth judgment result shows no, increasing the value of n by 1, and returning to the step of' utilization formula of centers of group management of the prosumers and consumers
Figure BDA0002836149980000083
Updating the first auxiliary multiplier to obtain a first auxiliary multiplier of the (n + 1) th iteration; using a formula according to the updated first auxiliary multiplier
Figure BDA0002836149980000084
Updating the second auxiliary multiplier and the Lagrange multiplier vector to obtain a second auxiliary multiplier and a Lagrange multiplier vector of the (n + 1) th iteration; issuing the first auxiliary multiplier, the second auxiliary multiplier and the Lagrangian multiplier vector of the (n + 1) th iteration to each producer and consumer energy management terminal;
and if the fifth judgment result shows that the iteration is positive, substituting the vectors of the first auxiliary multiplier, the second auxiliary multiplier and the Lagrangian multiplier of the (n + 1) th iteration into the energy management correction model and the overall scheduling correction model to obtain an energy management update model and an overall scheduling update model.
A large-scale producer and consumer energy management system based on an alternating direction multiplier method, the energy management system comprising:
the energy management initial model building module is used for building an energy management initial model of the energy management terminal of the producer and the consumer based on basic data of the energy management terminal of the producer and the consumer and aiming at minimizing the maintenance cost and/or minimizing the use dissatisfaction degree utility of each terminal unit in the energy management terminal of the producer and the consumer;
the overall scheduling initial model building module is used for building an overall scheduling initial model by taking the electricity purchasing cost of the center of the producer and consumer group management as a target;
the model correction module is used for correcting the energy management initial model and the overall scheduling initial model by adopting an approximate Jacobian alternative direction multiplier method respectively to obtain an energy management correction model and an overall scheduling correction model;
the model parameter updating module is used for updating the vectors of the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier in the energy management correction model and the overall scheduling correction model in a mode of interaction of a power signal and model parameters to obtain an energy management updating model and an overall scheduling updating model;
and the energy management module is used for performing energy management of the birth and consumption person by using the energy management updating model and the overall scheduling updating model.
Optionally, the energy management initial model building module specifically includes:
the first judgment submodule is used for judging whether the kth terminal unit in the energy management terminal of the producer and the consumer is an uncontrollable power generation unit or not to obtain a first judgment result;
a first energy management module function constructing sub-module, configured to, if the first determination result indicates yes, construct an energy management objective function of a kth terminal unit based on basic data of the energy management terminal of the producer and the consumer, with a goal of minimizing a maintenance cost of the kth terminal unit: f. ofi,k,t=c1,i,kPi,k,t(ii) a Wherein f isi,k,tRepresenting the energy management objective function of the kth terminal unit in the energy management terminal i of the producer during the period t, c1,i,kRepresents the maintenance cost, P, of the kth terminal unit in the energy management terminal i of the producer and consumer during the period ti,k,tRepresenting the power load of the kth terminal unit in the energy management terminal i of the producer and the consumer in a period T, wherein T is the number of time periods contained in the energy management cycle; the constraint conditions for constructing the kth terminal unit are as follows: pi,k,t=-Pi,GEN,t(ii) a Wherein, Pi,GEN,tRepresenting the predicted output of the uncontrollable power generation unit contained in the energy management terminal i of the producer and the consumer in the time period t;
a second judgment submodule, configured to judge whether a kth terminal unit in the energy management terminal of the obstetric and gynecologic department is a rigid load unit if the first judgment result indicates no, and obtain a second judgment result;
a second objective function constructing sub-module for constructing the second objective function if the second judgment is madeThe result shows that based on the basic data of the energy management terminal of the producer and the consumer, the energy management objective function of the k terminal unit is constructed by taking the use dissatisfaction degree and the utility minimization of the k terminal unit as the target
Figure BDA0002836149980000091
Wherein the content of the first and second substances,
Figure BDA0002836149980000092
and
Figure BDA0002836149980000093
respectively representing dissatisfaction degree utility coefficients caused when the working period of the kth terminal unit in the energy management terminal i of the producer and the expected period have positive and negative deviations;
Figure BDA0002836149980000094
and
Figure BDA0002836149980000095
respectively representing the starting time and the ending time of a desired period of the kth terminal unit in the energy management terminal i of the producer and the consumer; p2,i,kRepresenting the rated power of the kth terminal unit in the energy management terminal i of the obstetrician; the constraint conditions for constructing the kth terminal unit are as follows:
Figure BDA0002836149980000101
wherein s isi,k,t-1And si,k,tVariables describing the working state of the kth terminal unit in the energy management terminal i of the obstetrician and the energy management terminal i in the t-1 time period and the t time period respectively; on is ani,k,t-1And offi,k,t-1Respectively describing a variable for describing whether a kth terminal unit in the energy management terminal i of a deputy carries out startup operation or not in a t period and a variable for describing shutdown operation;
a third judging module, configured to judge whether a kth terminal unit in the energy management terminal of the obstetric and gynecologic department is a temperature control load unit if the second judgment result indicates no, and obtain a third judgment result;
a third objective function constructing sub-module, configured to, if the third determination result indicates yes, based on the basic data of the energy management terminal of the producer and the consumer, minimize the utility of the use dissatisfaction degree of the kth terminal unit as a target, and construct an energy management objective function of the kth terminal unit as:
Figure BDA0002836149980000102
wherein, γ3,i,kIndoor temperature representing time period t of place of kth terminal unit in energy management terminal i of producer
Figure BDA0002836149980000103
Comfortable temperature
Figure BDA0002836149980000104
The unsatisfactory degree utility coefficient caused by the deviation; the constraint conditions for constructing the kth terminal unit are as follows:
Figure BDA0002836149980000105
wherein, Pi,k,maxAnd Pi,k,minUpper and lower limits, G, respectively, of power for the kth terminal unit in the energy management terminal i of the produceri,kAnd Ci,kRespectively managing the thermal mass and thermal conductivity parameters of the kth terminal unit in the terminal i for the energy of the producer and the consumer; tau represents an energy management scheduling interval, and the value is the number of hours of an energy management period divided by the number of time segments T contained in the energy management period;
Figure BDA0002836149980000106
managing the outdoor temperature of the place where the kth terminal unit in the terminal i is located in the period t for the energy of the producer;
a fourth judging submodule, configured to judge whether a kth terminal unit in the energy management terminal of the producer or the consumer is an energy storage characteristic unit if the third judging result indicates no, and obtain a fourth judging result;
a fourth objective function constructing sub-module, configured to determine whether the fourth determination result indicates yesConstructing an energy management objective function of the kth terminal unit from the basic data of the energy management terminal of the producer and the consumer as follows: f. ofi,k,t0; the constraint conditions for constructing the kth terminal unit are as follows:
Figure BDA0002836149980000111
wherein the content of the first and second substances,
Figure BDA0002836149980000112
and
Figure BDA0002836149980000113
respectively representing the charging power and the discharging power of a kth terminal unit in the energy management terminal i of the obstetrician during a period t;
Figure BDA0002836149980000114
and
Figure BDA0002836149980000115
respectively representing the charging power and the discharging power of the kth terminal unit in the energy management terminal i of the obstetrician during the t-1 period,
Figure BDA0002836149980000116
a variable describing the charge-discharge state of the kth terminal unit in the energy management terminal i of the obstetrician and the energy management terminal i in the period t;
Figure BDA0002836149980000117
and
Figure BDA0002836149980000118
respectively representing the upper limit and the lower limit of the charging power of the kth terminal unit in the energy management terminal i of the producer and the consumer;
Figure BDA0002836149980000119
and
Figure BDA00028361499800001110
respectively representing the kth terminal unit in the energy management terminal i of the producer or consumerUpper and lower discharge power limits; ei,k,tRepresenting the energy value stored by the kth terminal unit in the energy management terminal i of the obstetrician in the t period;
Figure BDA00028361499800001111
and
Figure BDA00028361499800001112
respectively representing the charging efficiency and the discharging efficiency of the kth terminal unit in the energy management terminal i of the producer and the consumer; ei,k,maxAnd Ei,k,minRespectively representing the upper limit and the lower limit of the stored energy of the kth terminal unit in the energy management terminal i of the producer and the consumer;
the first returning submodule is used for increasing the value of k by 1, returning to the step of judging whether the kth terminal unit in the energy management terminal of the producer and the consumer is an uncontrollable power generation unit or not to obtain a first judgment result until the value of k reaches the number of the terminal units in the energy management terminal of the producer and the consumer, and obtaining a target function and a constraint condition of each terminal unit in the energy management terminal of the producer and the consumer;
an objective function integration submodule for integrating the objective function of each terminal unit in the energy management terminal of the obstetrician and the xian to obtain the integrated objective function of
Figure BDA00028361499800001113
Wherein f isi,tRepresenting the total objective function, f, of the energy management terminal i of the producer or consumer during the time period tiRepresenting an objective function of the energy management terminal i of the prosumer after integration in the energy management period;
the energy management initial model building submodule is used for building an energy management initial model of the energy management terminal of the producer and the consumer according to the integrated objective function and the constraint condition of each terminal unit in the energy management terminal of the producer and the consumer:
Figure BDA00028361499800001114
wherein z (i) is a collection of constraints for each terminal unit in the energy management terminal for the producer and the consumer.
Optionally, the module for constructing an overall scheduling initial model specifically includes:
a fifth objective function constructing submodule for constructing an objective function g of the producer and consumer group management center in each time period with the electricity purchase cost minimization of the producer and consumer group management center as a target0,t(P0,t) Comprises the following steps: g0,t(P0,t)=c0,g,t(P0,t+|P0,t|)/2-c0,s,t(P0,t-|P0,tI)/2; wherein, c0,g,tAnd c0,s,tRespectively representing the electricity purchasing price and the electricity selling price of the producer and consumer group management center as an agent for purchasing and selling electricity; p0,tRepresenting the total net electricity purchasing power value of the deputy group management center as an agent in the time period t;
power integration submodule for using formula
Figure BDA0002836149980000121
Respectively integrating the power consumption of each terminal unit in each producer and consumer energy management terminal to obtain the total power consumption of each producer and consumer energy management terminal in each time period; wherein, Pi,k,tRepresenting the electricity load of the kth terminal unit in the energy management terminal i of the producer in the time period t, Pi,tRepresenting the total power consumption of the energy management terminal i of the obstetrician in the time period t;
and the constraint condition construction submodule is used for constructing a constraint condition of the obstetric and stills group management center according to the total power consumption of each obstetric and stills energy management terminal in each time period as follows:
Figure BDA0002836149980000122
wherein, P0The method comprises the steps that 1 xT-dimensional power vectors are formed by using a producer and consumer group management center as an agent in the whole net electricity purchasing power value of each time interval in an energy management cycle, wherein T represents the number of the time intervals in the energy management cycle;
an integral dispatching initial model building submodule for building an integral dispatching according to the objective function of the manager group management center and the constraint condition of the manager group management center in each time intervalThe initial model of degree is:
Figure BDA0002836149980000123
g0(P0) Representing the objective function of the management center of the group of the parity of the victims in the energy management cycle.
Optionally, the model modification module specifically includes:
the first model correction submodule is used for correcting the energy management initial model by adopting an approximate Jacobian alternating direction multiplier method, and the obtained energy management correction model is as follows:
Figure BDA0002836149980000124
wherein, Fi n(Pi) And fi n(Pi) P corresponding to the energy management correction model and the energy management initial model of the energy management terminal i of the birth-stills at the nth iterationiIs the value of an objective function of a variable, PiA 1 xT-dimensional power vector formed by the total power consumption of the energy management terminal i of the producer and the consumer in each period of the energy management cycle;
Figure BDA0002836149980000131
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the nth iteration; pi n -1And Pi nRespectively representing 1 xT-dimensional power vectors formed by the total power consumption of the energy management terminal i of the producer and the consumer in each period of the energy management cycle in the (n-1) th iteration and the nth iteration; delta Pn-1And Δ PnRespectively representing unbalance vectors of the purchased electric power of the central agent of the producer and consumer group management and the total electric power of the producer and consumer in the n-1 th iteration and the n-th iteration; rhon、σnRespectively a first auxiliary multiplier and a second auxiliary multiplier in the approximate Jacobian alternating direction multiplier method in the nth iteration; lambda [ alpha ]nIs a 1xT Lagrange multiplier vector in the nth iteration; | | | represents a 2-norm; z (i) energy management terminal for each of the energy management terminals of the prenatal or the xianA collection of constraints for the end units;
the second model modification submodule is used for modifying the overall scheduling initial model by adopting an approximate Jacobian alternative direction multiplier method, and the obtained overall scheduling modification model is as follows:
Figure BDA0002836149980000132
wherein the content of the first and second substances,
Figure BDA0002836149980000133
Figure BDA0002836149980000134
p corresponding to the overall scheduling correction model and the overall scheduling initial model of the n-th iteration-time producer and consumer group management center0As an objective function of a variable, P0A 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time period of the energy management cycle;
Figure BDA0002836149980000135
representing a 1 xT-dimensional power vector formed by the total power consumption of the energy management terminal j of the obstetrical and abortive person in each period of the energy management cycle during the (n-1) th iteration, wherein I represents the number of the obstetrical and abortive persons managed by the obstetrical and abortive person group management center;
Figure BDA0002836149980000136
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the (n-1) th iteration; z (0) represents a collection of constraints of the prenatal and xiator group management center.
Optionally, the model parameter updating module specifically includes:
a model parameter update submodule for using the formula through the administrative center of the group of the parity
Figure BDA0002836149980000137
Updating the first auxiliary multiplier to obtain a first auxiliary multiplier of the (n + 1) th iteration; according to updatedFirst auxiliary multiplier using formula
Figure BDA0002836149980000141
Updating the second auxiliary multiplier and the Lagrange multiplier vector to obtain a second auxiliary multiplier and a Lagrange multiplier vector of the (n + 1) th iteration; issuing the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier vector of the (n + 1) th iteration to each producer and consumer energy management terminal; where ρ isnAnd ρn+1First auxiliary multipliers, x, representing the nth and n +1 th iterations, respectivelynAnd ynRespectively representing the original gap and the dual gap in the alternate iteration process in the nth iterationn+1A second auxiliary multiplier representing the (n + 1) th iteration, I representing the number of the parity producers managed by the parity producer group management center, and lambdanAnd λn+1Lagrange multiplier vectors, P, representing the nth and n +1 th iterations, respectivelyi nRepresents a 1 xT-dimensional power vector composed of the total power consumption of the energy management terminal i of the passive at each period of the energy management cycle at the nth iteration,
Figure BDA0002836149980000142
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the nth iteration;
the power consumption calculation submodule is used for respectively and parallelly substituting the vectors of the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier of the (n + 1) th iteration into an energy management correction model through the energy management terminals of the producers and the consumers based on basic data of the energy management terminals of the producers and the consumers, calculating to obtain a 1 xT-dimensional power vector formed by the total power consumption of the energy management terminals of the producers and the consumers in each period of the energy management cycle during the (n + 1) th iteration of the energy management terminals of the producers and the consumers, and respectively sending the power vector to the producer and consumer group management center;
the electricity purchasing power calculation submodule is used for substituting the updated first auxiliary multiplier, second auxiliary multiplier and Lagrange multiplier vectors into an overall scheduling correction model through the producer group management center, and calculating to obtain a 1 xT-dimensional power vector formed by the overall net electricity purchasing power value of the producer group management center in each time period of the energy management cycle during the n +1 th iteration of the producer group management center;
an original clearance and dual clearance calculation submodule used for calculating a 1 xT-dimensional power vector formed by the total power consumption of the energy management terminals of the producers and the consumers in each time interval of the energy management cycle through the producer and consumer group management center according to the (n + 1) th iteration of the energy management terminals of the producers and the consumers, and a 1 xT-dimensional power vector formed by the integral net electricity purchasing power value of the energy management center in each time interval of the energy management cycle through the producer and consumer group management center in the (n + 1) th iteration of the producer and consumer group management center, and by using a formula
Figure BDA0002836149980000143
Calculating the original gap x in the alternate iteration process of the (n + 1) th iterationn+1And dual gap yn+1(ii) a Wherein, Pi n+1Represents a 1 xT-dimensional power vector composed of the total power consumption of the energy management terminal i of the passive at each period of the energy management cycle at the (n + 1) th iteration,
Figure BDA0002836149980000151
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each period of the energy management cycle during the (n + 1) th iteration;
a fifth judging submodule for judging whether the original gap and the dual gap in the alternate iteration process during the (n + 1) th iteration are both smaller than
Figure BDA0002836149980000152
Obtaining a fifth judgment result;
a second returning submodule, configured to increase the value of n by 1 if the fifth determination result indicates no, and return to the step "using the formula in the center of the management of the passive group of the producers and consumers
Figure BDA0002836149980000153
A new first auxiliary multiplier is obtained to obtain a first auxiliary multiplier of the (n + 1) th iteration;using a formula according to the updated first auxiliary multiplier
Figure BDA0002836149980000154
Updating the second auxiliary multiplier and the Lagrange multiplier vector to obtain a second auxiliary multiplier and a Lagrange multiplier vector of the (n + 1) th iteration; issuing the first auxiliary multiplier, the second auxiliary multiplier and the Lagrangian multiplier vector of the (n + 1) th iteration to each producer and consumer energy management terminal;
and the update model output submodule is used for substituting the vectors of the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier of the (n + 1) th iteration into the energy management correction model and the overall scheduling correction model if the fifth judgment result shows that the vectors are positive, so as to obtain the energy management update model and the overall scheduling update model.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a large-scale production and consumption person energy management method based on an alternating direction multiplier method, which comprises the following steps: constructing an energy management initial model of the energy management terminal of the producer and the consumer based on basic data of the energy management terminal of the producer and the consumer and with the aim of minimizing the maintenance cost and/or minimizing the use dissatisfaction degree utility of each terminal unit in the energy management terminal of the producer and the consumer; constructing an overall scheduling initial model by aiming at minimizing the electricity purchasing cost of a producer and consumer group management center; respectively correcting the energy management initial model and the overall scheduling initial model by adopting an approximate Jacobi alternative direction multiplier method to obtain an energy management correction model and an overall scheduling correction model; updating a first auxiliary multiplier, a second auxiliary multiplier and a Lagrange multiplier vector in the energy management correction model and the overall scheduling correction model by adopting a power signal and model parameter interaction mode to obtain an energy management update model and an overall scheduling update model; and performing energy management of the birth and consumption person by using an energy management updating model and an overall scheduling updating model. According to the parallel operation method, on the basis of the energy management initial model and the overall scheduling initial model, the energy management initial model and the overall scheduling initial model are corrected by adopting an approximate Jacobi alternative direction multiplier method, model parameters are updated in a mode of interaction of power signals and the model parameters, parallel operation of each producer and consumer energy management terminal can be realized on the basis of ensuring that all data of the producer and consumer energy management terminals are not required to be applied, the technical defects that iterative convergence is slow and parameter adjustment is difficult in an even gradient method are overcome, and the parallelism and convergence of distributed producer and consumer energy management are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a flowchart of a large-scale parity energy management method based on an alternative direction multiplier method according to embodiment 1 of the present invention;
FIG. 2 is a schematic diagram of a large-scale parity energy management method based on the alternative direction multiplier method according to embodiment 2 of the present invention;
FIG. 3 is a block diagram of a large-scale imbalance producer energy management system based on the alternative direction multiplier method according to embodiment 3 of the present invention;
fig. 4 is a structural diagram of a large-scale parity producer energy management system based on the alternative direction multiplier method according to embodiment 4 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a large-scale producer and consumer energy management method and system based on an alternating direction multiplier method, and improve the parallelism and convergence of distributed producer and consumer energy management.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1
As shown in fig. 1, the present invention provides a large-scale parity energy management method based on an alternating direction multiplier method, the energy management method comprising the steps of:
step 101, based on the basic data of the energy management terminal of the producer and the consumer, constructing an energy management initial model of the energy management terminal of the producer and the consumer with the aim of minimizing the maintenance cost and/or minimizing the utility of the using dissatisfaction degree of each terminal unit in the energy management terminal of the producer and the consumer.
And 102, constructing an overall scheduling initial model by aiming at minimizing the electricity purchasing cost of the producer and consumer group management center.
And 103, respectively correcting the energy management initial model and the overall scheduling initial model by adopting an approximate Jacobian alternative direction multiplier method to obtain an energy management correction model and an overall scheduling correction model.
And 104, updating the vectors of the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier in the energy management correction model and the overall scheduling correction model by adopting a mode of interaction of power signals and model parameters to obtain an energy management update model and an overall scheduling update model.
And 105, performing energy management of the birth and consumption person by using the energy management updating model and the overall scheduling updating model.
The implementation manner of each step in embodiment 1 of the present invention is the same as the corresponding part in the summary of the invention, and is not described herein again.
Example 2
As shown in fig. 2, the working principle of the large-scale parity producer energy management method based on the alternating direction multiplier method provided by the invention is as follows:
step 201: acquiring basic data of a manager management terminal unit; the terminal unit base data includes a plurality of operating parameters associated with the terminal unit.
The method comprises the following steps that basic data of an uncontrollable power generation unit, basic data of a rigid load unit, basic data of a temperature control load unit and basic data of an energy storage characteristic unit are obtained;
the uncontrollable power generation unit basic data specifically comprises the following steps:
unit predicted capacity, and unit daily maintenance cost;
the basic data of the rigid load unit specifically comprise:
rated power consumption of the unit, expected working period interval of the unit and operating dissatisfaction degree utility coefficient of the unit;
the basic data of the temperature control load unit specifically comprise:
the upper and lower limits of the power consumption of the unit, the indoor temperature, the outdoor temperature, the acceptable maximum temperature and the minimum temperature of the place where the unit is located, the thermal mass and the thermal conductivity parameters of the unit, and the utility coefficient of the unsatisfactory degree of the unit operation;
the energy storage characteristic unit basic data specifically comprise:
the unit charging power upper and lower limits, the unit discharging power upper and lower limits, the unit stored energy upper and lower limits and the unit charging and discharging efficiency.
Step 202: and constructing an energy management model of the terminal unit according to the basic data of each type of terminal unit.
Step 202, specifically comprising:
judging which type of the terminal unit to be modeled is one of five types of units, namely an uncontrollable power generation unit, a rigid load unit, a temperature control load unit, a fixed load unit and an energy storage characteristic unit to obtain a first judgment result;
if the first judgment result is that the uncontrollable power generation unit corresponds to typical equipment including and not limited to a roof photovoltaic, constructing a terminal unit energy management model including an objective function and a constraint condition comprises:
and forming an objective function with the following formula by taking the minimum daily maintenance cost of the unit as an objective:
fi,k,t=c1,i,kPi,k,t
the formula comprises two variables, namely a universal variable under each first judgment result and a unique variable under the first judgment result;
the general variables under each first judgment result include: f. ofi,k,tRepresenting the energy management objective function, P, of the unit k contained by the person i of birth or consumption during the time period ti,k,tRepresenting the electricity utilization load of a unit k contained in an obstetrician i in a period T, wherein T is the number of time periods contained in the energy management cycle;
the unique variables under the first judgment result include: c. C1,i,kRepresenting the daily maintenance cost of the unit k contained in the producer/consumer i in the time period t;
the constraint is a power balance constraint of the following formula and is labeled as constraint a as a whole:
Pi,k,t=-Pi,GEN,t
wherein, Pi,GEN,tRepresenting the predicted output of the uncontrollable power generation unit contained in the producer/consumer i in the time period t;
if the first judgment result is a rigid load unit corresponding to typical equipment including and not limited to a washing machine, constructing a terminal unit energy management model containing an objective function and a constraint condition comprises:
targeting the minimum utility of the unit usage to form an objective function as follows:
Figure BDA0002836149980000191
wherein the content of the first and second substances,
Figure BDA0002836149980000192
respectively representing the dissatisfaction degree utility coefficients caused when the working period and the expected period of the unit k contained in the parity person i have positive and negative deviations;
Figure BDA0002836149980000193
respectively representing the start and end times of the expected period of unit k contained by the person i; p2,i,kRepresenting the rated power of a terminal unit k contained in a person i;
the constraint conditions comprise power balance constraint and work starting time constraint, and are marked as constraint B as a whole;
the power balance constraint is as follows:
Figure BDA0002836149980000194
wherein s isi,k,tIn order to describe a variable 0-1 of the working state of a unit k contained in a deputy i in a time period t, 1 represents that the unit k is in a running state; on is ani,k,t-1、offi,k,t-1Respectively describing the variables 0-1 of whether the unit k contained in the person I is subjected to power-on and power-off operations in the time period t, wherein 1 represents that the corresponding operation is carried out;
the job start time is constrained by the following equation:
Figure BDA0002836149980000195
if the first judgment result is that the temperature control load unit corresponds to typical equipment including and not limited to an air conditioner, constructing a terminal unit energy management model including an objective function and a constraint condition comprises:
targeting the minimum utility of the unit usage to form an objective function as follows:
Figure BDA0002836149980000196
wherein, γ3,i,kRepresenting the room temperature of the time period t of the place where the unit k is located in the person i
Figure BDA0002836149980000197
Comfortable temperature
Figure BDA0002836149980000198
Dissatisfaction caused by the presence of deviationsA degree utility coefficient;
the constraint conditions comprise power upper and lower limit constraints and temperature control load thermodynamic constraints, and are marked as constraint C as a whole;
the upper and lower power limits are constrained as follows:
si,k,tPi,k,max≤Pi,k,t≤si,k,tPi,k,min
wherein, Pi,k,max、Pi,k,minThe upper and lower power limits of a unit k contained in the person I;
the thermodynamic constraint of the temperature controlled load is as follows:
Figure BDA0002836149980000201
wherein G isi,k、Ci,kRespectively the thermal mass and thermal conductivity parameters of the unit k contained in the person I; tau represents an energy management scheduling interval, and the number of hours (such as 24h) of an energy management cycle is divided by the number T of time segments contained in the energy management cycle;
Figure BDA0002836149980000202
the outdoor temperature of the place where the unit k is located in the producer i in the time period t;
if the first judgment result is that the energy storage characteristic unit corresponds to typical equipment including and not limited to an electric vehicle, constructing a terminal unit energy management model including an objective function and a constraint condition comprises:
for this type of terminal unit, there is no actual operation target, and the objective function is as follows:
fi,k,t=0
the constraint conditions include a power constraint and an energy constraint and are marked as a whole as constraint D;
the power balance constraint is as follows:
Figure BDA0002836149980000203
wherein the content of the first and second substances,
Figure BDA0002836149980000204
respectively representing the charging power and the discharging power of a unit k contained in the person i in the birth or the death in a period t;
Figure BDA0002836149980000205
to describe the variable 0-1 of the charge and discharge state of the unit k contained in the person i of birth and consumption during the period t, 1 represents being in the charge state;
Figure BDA0002836149980000206
respectively representing the upper and lower limits of the charging power of a unit k contained in the person I;
Figure BDA0002836149980000207
respectively representing the upper and lower limits of the discharge power of a unit k contained in the person I;
the energy constraint is as follows:
Figure BDA0002836149980000208
wherein E isi,k,tRepresenting the energy value stored by the unit k of the person i in the stillborn during the time t;
Figure BDA0002836149980000209
respectively representing the charging efficiency and the discharging efficiency of the unit k contained in the person i; ei,k,max、Ei,k,minRespectively representing the upper and lower limits of the stored energy of unit k contained in the person i.
Step 203: and integrating the energy production scheduling model of the producer management terminal unit, and constructing an independent producer energy management initial model containing one or more different types of terminal units.
Step 203, specifically comprising:
respectively integrating the power consumption of the energy production scheduling model of the I management terminal unit of the producer and the consumer with an objective function according to the following formula:
Figure BDA0002836149980000211
wherein, Pi,t、fi,tRespectively representing the total power consumption and the total objective function P of a producer i containing K terminal units in a period tiIs a 1xT dimensional power vector formed by the total power consumption of the user i in the whole time period, fiRepresenting the overall operational objective of the person i;
all the constraints (namely the constraint A, the constraint B, the constraint C and the constraint D) of K terminal units contained in the producer i are taken together as an overall constraint set of the energy management initial model of the independent producer i, and are marked as a constraint Z (i) as a whole, and are expressed as follows:
constraint z (i) ═ { constraint a, constraint B, constraint C, constraint D }
The independent energy management initial model of the individual stills is represented by the following formula:
Figure BDA0002836149980000212
step 204: and constructing an overall dispatching initial model of a group management center of the producers and the consumers as large-scale deputyers according to the agent electricity purchasing price and the energy management initial model of each independent producer and consumer.
Step 204, specifically comprising:
according to the electricity purchasing price of the agent, forming an electricity purchasing cost function of each time period of a producer group management center as a large-scale producer agent:
g0,t(P0,t)=c0,g,t(P0,t+|P0,t|)/2-c0,s,t(P0,t-|P0,t|)/2
wherein, c0,g,t、c0,s,tRespectively representing the electricity purchasing price and the electricity selling price of the management center as an agent for purchasing and selling electricity; p0,tThe management center is used as an agent to purchase the whole net electricity power value in the time period t, the electricity purchase is positive, and the electricity sale is negative;
the method is characterized in that an overall dispatching initial model of a producer and consumer group management center is formed by aiming at minimizing the electricity purchasing cost of the producer and consumer group management center and combining with the agent electricity purchasing power balance constraint of the management center, and comprises the following steps:
the overall scheduling initial model objective function is as follows:
Figure BDA0002836149980000213
the management center agent purchase power balance constraint is as follows and is labeled as constraint Z (0) as a whole:
Figure BDA0002836149980000221
wherein, P0The power vector is a 1 xT-dimensional power vector formed by the management center as an agent in the whole net electricity purchasing power value in the whole time period.
Step 205: and respectively correcting the independent producer and consumer energy management initial model objective function and the integral dispatching initial model objective function of the producer and consumer group management center according to an approximate Jacobi alternating direction multiplier method.
Step 205, specifically including:
according to an approximate Jacobian alternative direction multiplier method, correcting an energy management initial model objective function of an independent producer and consumer i by adopting the following formula, wherein a constraint condition Z (i) is kept unchanged:
Figure BDA0002836149980000222
wherein, Fi n(Pi)、fi n(Pi) P corresponding to the energy management correction model of the I and the initial model of the n iteration respectivelyiThe vector is an objective function of the variable;
Figure BDA0002836149980000223
in management when representing the nth iterationThe whole net electricity purchasing power vector of the whole cardiac time period; pi nRepresenting the total electric power vector of the n iteration time of the I birth-vanisher in the whole period; delta PnRepresenting an unbalance vector of the management center agent electricity purchasing power and the total electricity consumption power of the producer and the consumer during the nth iteration; rhon、σnThree auxiliary multipliers in the approximate Jacobian alternating direction multiplier method in the nth iteration are respectively used; lambda [ alpha ]nIs a 1xT Lagrange multiplier vector in the nth iteration; | | | represents a 2-norm;
according to an approximate Jacobian alternative direction multiplier method, the overall scheduling initial model objective function of a manager group management center of a producer and a consumer is corrected by adopting the following formula, and a constraint condition Z (0) is kept unchanged:
Figure BDA0002836149980000224
wherein the content of the first and second substances,
Figure BDA0002836149980000225
p corresponding to the management center overall scheduling correction model and the initial model in the nth iteration0The vector is the objective function of the variable.
Step 206: and initializing a power signal and a pilot signal in the distributed iteration process.
Step 206, specifically including:
and (3) assigning initial values to parameters in an independent producer/consumer i energy management correction model and a producer/consumer group management center integral scheduling correction model required by the first iteration according to the following formula:
Figure BDA0002836149980000231
step 207: and constructing a distributed large-scale producer and consumer energy optimization management iterative flow based on the interaction of the power signal and the guide signal.
Step 207, specifically including:
the power signal and pilot signalAnd number interaction, wherein the step of constructing a distributed large-scale producer and consumer energy optimization management iterative process comprises the following steps: in the nth iteration (n is more than or equal to 1), the power signal and the guide signal are issued by the obstetrician and destroyer group management center, and the energy management correction model update P of the independent obstetrician and destroyer i is solved in paralleli nUploading and solving the overall scheduling correction model update of the producer-consumer group management center
Figure BDA0002836149980000232
Three steps;
in the step of issuing the power signal and the guide signal by the obstetric and Xiaoer group management center, the obstetric and Xiaoer group management center starts the n-th iteration according to the optimization result P uploaded by each independent obstetric and Xiaoer i in the n-1-th iterationi n-1Optimize the result with itself
Figure BDA0002836149980000237
Calculating to obtain a power signal delta Pn-1With the latest pilot signal ρn、σn、λnIssuing to all the deputiators;
the parallel solution of the energy management correction model update P of the independent parity Ii nIn the uploading step, the energy management correction model corresponding to the nth iteration independent producer/consumer i is as follows:
Figure BDA0002836149980000233
each independent person i can solve the above models in parallel to obtain the current correspondence PiOptimum value P ofi nAnd storing the power signal P locally while simultaneouslyi nUploading the data to a group management center of the parity of the obstetrics and the consumers;
updating of integral scheduling correction model of management center for solving birth and death people group
Figure BDA0002836149980000234
In the step, the overall scheduling correction model of the management center of the iterative producer and consumer group corresponding to the nth timeThe following formula:
Figure BDA0002836149980000235
the manager group management center of the birth-stills solves the model to obtain the current correspondence P0Optimum value of (2)
Figure BDA0002836149980000236
And stored locally.
Step 208: judging whether the iteration is converged or not, and selecting whether the iteration is continued or not.
Step 208, specifically including:
the management center of the group of the lying-in and stillbirth firstly obtains the current time Pi n
Figure BDA0002836149980000241
The optimal values, the original gap x, are calculated separately according tonAnd a dual gap yn
Figure BDA0002836149980000242
Wherein x isn、ynRespectively representing an original gap and a dual gap in the alternate iteration process during the nth iteration;
judgment of xn、ynWhether any one of them is not less than
Figure BDA0002836149980000243
Obtaining a second judgment result;
if the second determination result is yes, it is determined that the iteration is not converged, and the iteration process of step 207 is repeated after the pilot signal is updated;
in the pilot signal updating section, the group management center of the obstetrician and the stills adopts the following formula to the pilot signal rhonUpdating:
Figure BDA0002836149980000244
according to the updated rhon+1Using the following formula to respectively align the pilot signals sigman、λnAn iterative process is performed that updates and repeats step 207:
Figure BDA0002836149980000245
and if the second judgment result is negative, judging iteration convergence, exiting iteration, and when the optimal value optimized by each main body at the time is the expected optimal energy management strategy of the corresponding optimized main body.
Example 3
As shown in fig. 3, the present invention also provides a large-scale parity energy management system based on the alternating direction multiplier method, the energy management system comprising:
the energy management initial model building module 301 is configured to build an energy management initial model of the energy management terminal of the producer and consumer based on the basic data of the energy management terminal of the producer and consumer, with the goal of minimizing the maintenance cost and/or minimizing the utility of the dissatisfaction degree of each terminal unit in the energy management terminal of the producer and consumer.
An overall scheduling initial model building module 302, configured to build an overall scheduling initial model with a goal of minimizing electricity purchasing cost of the producer and consumer group management center;
and the model correction module is used for correcting the energy management initial model and the overall scheduling initial model by respectively adopting an approximate Jacobian alternative direction multiplier method to obtain the energy management correction model and the overall scheduling correction model.
And the model parameter updating module 303 is configured to update the first auxiliary multiplier, the second auxiliary multiplier, and the lagrangian multiplier vector in the energy management correction model and the overall scheduling correction model by using a power signal and model parameter interaction manner, so as to obtain an energy management updating model and an overall scheduling updating model.
And the energy management module 303 is configured to perform energy management of the birth and consumption person by using the energy management update model and the overall scheduling update model.
In this embodiment, the implementation manner of the function of each module is the same as that described in the summary of the invention, and is not described herein again.
Example 4
As shown in fig. 4, based on the alternating direction multiplier method-based large-scale prosumer energy management method of the present invention, a large-scale prosumer energy management system based on the alternating direction multiplier method of the present invention may include the following modules:
a data acquisition module 401, configured to acquire data of a management terminal unit of a person who produces or disappears; the terminal unit base data includes a plurality of operating parameters associated with the terminal unit.
And a terminal unit energy management model establishing module 402, configured to establish a terminal unit energy management model according to the basic data of each type of terminal unit.
An independent obstetric and abortive person initial model establishing module 403, configured to integrate the obstetric and abortive person management terminal unit energy production scheduling model, and construct an independent obstetric and abortive person energy management initial model including one or more different types of terminal units.
And a producer group management center initial model establishing module 404, configured to establish an overall scheduling initial model of the producer group management center as a large-scale producer agent according to the agent electricity purchase price and the energy management initial model of each independent producer.
And the model correction module 405 is configured to correct the independent producer and consumer energy management initial model objective function and the producer and consumer group management center overall scheduling initial model objective function according to an approximate jacobian alternating direction multiplier method.
A signal initialization module 406, configured to initialize the power signal and the pilot signal in the distributed iteration flow.
And the interaction iteration module 407 is configured to construct a distributed large-scale producer-consumer energy optimization management iteration flow based on interaction between the power signal and the pilot signal.
And a convergence judging module 408, configured to judge whether the iteration converges, and select to exit the iteration or continue to update the pilot signal to enter the next iteration.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the large-scale producer and consumer energy management method and system based on the alternative direction multiplier method can fully utilize large-scale producer and consumer flexible production energy resources with source-load duality in an area, and can disperse and reduce the computational burden of traditional centralized scheduling based on a completely parallel distributed energy management mode.
The equivalent embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts between the equivalent embodiments can be referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In summary, this summary should not be construed to limit the present invention.

Claims (10)

1. A large-scale producer and consumer energy management method based on an alternating direction multiplier method is characterized by comprising the following steps:
constructing an energy management initial model of the energy management terminal of the producer and the consumer based on basic data of the energy management terminal of the producer and the consumer and with the aim of minimizing the maintenance cost and/or minimizing the use dissatisfaction degree utility of each terminal unit in the energy management terminal of the producer and the consumer;
constructing an overall scheduling initial model by aiming at minimizing the electricity purchasing cost of a producer and consumer group management center;
respectively correcting the energy management initial model and the overall scheduling initial model by adopting an approximate Jacobi alternative direction multiplier method to obtain an energy management correction model and an overall scheduling correction model;
updating a first auxiliary multiplier, a second auxiliary multiplier and a Lagrange multiplier vector in the energy management correction model and the overall scheduling correction model by adopting a power signal and model parameter interaction mode to obtain an energy management update model and an overall scheduling update model;
and performing energy management of the birth and consumption person by using an energy management updating model and an overall scheduling updating model.
2. The method for large-scale energy management of producers and consumers based on the alternative direction multiplier method as claimed in claim 1, wherein the constructing the energy management initial model of the energy management terminal of the producer and consumer based on the basic data of the energy management terminal of the producer and consumer with the goal of minimizing the maintenance cost and/or minimizing the utility of the dissatisfaction degree of each terminal unit in the energy management terminal of the producer and consumer comprises:
judging whether a kth terminal unit in the energy management terminal of the producer and the consumer is an uncontrollable power generation unit or not to obtain a first judgment result;
if the first judgment result shows that the terminal is a true terminal, based on the basic data of the energy management terminal of the producer and the consumer, aiming at minimizing the maintenance cost of the kth terminal unit, constructing an energy management objective function of the kth terminal unit as follows: f. ofi,k,t=c1,i, kPi,k,t(ii) a Wherein f isi,k,tRepresenting the energy management objective function of the kth terminal unit in the energy management terminal i of the producer during the period t, c1,i,kRepresents the maintenance cost, P, of the kth terminal unit in the energy management terminal i of the producer and consumer during the period ti,k,tRepresenting the power load of the kth terminal unit in the energy management terminal i of the producer and the consumer in the t period; the constraint conditions for constructing the kth terminal unit are as follows: pi,k,t=-Pi,GEN,t(ii) a Wherein, Pi,GEN,tRepresenting the predicted output of the uncontrollable power generation unit contained in the energy management terminal i of the producer and the consumer in the time period t;
if the first judgment result shows that the terminal unit is a rigid load unit, judging whether a kth terminal unit in the energy management terminal of the person in labor and consumption is a rigid load unit or not, and obtaining a second judgment result;
if the second judgment result shows that the terminal is the k terminal unit, based on the basic data of the energy management terminal of the producer and the consumer, the utilization dissatisfaction degree and utility of the k terminal unit are minimized as targets, and an energy management objective function of the k terminal unit is constructed as
Figure FDA0002836149970000021
Wherein the content of the first and second substances,
Figure FDA0002836149970000022
and
Figure FDA0002836149970000023
respectively representing dissatisfaction degree utility coefficients caused when the working period of the kth terminal unit in the energy management terminal i of the producer and the expected period have positive and negative deviations;
Figure FDA0002836149970000024
and
Figure FDA0002836149970000025
respectively representing the starting time and the ending time of a desired period of the kth terminal unit in the energy management terminal i of the producer and the consumer; p2,i,kRepresenting the rated power of the kth terminal unit in the energy management terminal i of the obstetrician; the constraint conditions for constructing the kth terminal unit are as follows:
Figure FDA0002836149970000026
wherein s isi,k,t-1And si,k,tVariables describing the working state of the kth terminal unit in the energy management terminal i of the obstetrician and the energy management terminal i in the t-1 time period and the t time period respectively; on is ani,k,t-1And offi,k,t-1Respectively describing a variable for describing whether a kth terminal unit in the energy management terminal i of a deputy carries out startup operation or not in a t period and a variable for describing shutdown operation; t is the number of time segments contained in the energy management cycle;
if the second judgment result shows that the current terminal unit is not the temperature control load unit, judging whether a kth terminal unit in the energy management terminal of the person who produces or disappears is the temperature control load unit or not, and obtaining a third judgment result;
if the third judgment result shows that the terminal is a right terminal, based on the basic data of the energy management terminal of the producer and the consumer, and with the use dissatisfaction degree utility minimization of the kth terminal unit as a target, constructing an energy management objective function of the kth terminal unit as follows:
Figure FDA0002836149970000027
wherein, γ3,i,kIndoor temperature representing time period t of place of kth terminal unit in energy management terminal i of producer
Figure FDA0002836149970000028
Comfortable temperature
Figure FDA0002836149970000029
The unsatisfactory degree utility coefficient caused by the deviation; the constraint conditions for constructing the kth terminal unit are as follows:
Figure FDA00028361499700000210
wherein, Pi,k,maxAnd Pi,k,minUpper and lower limits, G, respectively, of power for the kth terminal unit in the energy management terminal i of the produceri,kAnd Ci,kRespectively managing the thermal mass and thermal conductivity parameters of the kth terminal unit in the terminal i for the energy of the producer and the consumer; tau represents an energy management scheduling interval, and the value is the number of hours of an energy management period divided by the number of time segments T contained in the energy management period;
Figure FDA0002836149970000031
managing the outdoor temperature of the place where the kth terminal unit in the terminal i is located in the period t for the energy of the producer;
Figure FDA0002836149970000032
the indoor temperature of the kth terminal unit in the energy management terminal i in the time period of t +1 is provided for the producer;
if the third judgment result shows that the terminal unit is not the energy storage characteristic unit, judging whether a kth terminal unit in the energy management terminal of the person who produces or disappears is the energy storage characteristic unit, and obtaining a fourth judgment result;
if the fourth judgment result shows that the terminal unit is a k-th terminal unit, constructing an energy management objective function of the k-th terminal unit based on the basic data of the energy management terminal of the producer and the consumer as follows: f. ofi,k,t0; the constraint conditions for constructing the kth terminal unit are as follows:
Figure FDA0002836149970000033
wherein the content of the first and second substances,
Figure FDA0002836149970000034
and
Figure FDA0002836149970000035
respectively representing the charging power and the discharging power of a kth terminal unit in the energy management terminal i of the obstetrician during a period t;
Figure FDA0002836149970000036
and
Figure FDA0002836149970000037
respectively representing the charging power and the discharging power of the kth terminal unit in the energy management terminal i of the obstetrician during the t-1 period,
Figure FDA0002836149970000038
a variable describing the charge-discharge state of the kth terminal unit in the energy management terminal i of the obstetrician and the energy management terminal i in the period t;
Figure FDA0002836149970000039
and
Figure FDA00028361499700000310
respectively representing the upper limit and the lower limit of the charging power of the kth terminal unit in the energy management terminal i of the producer and the consumer;
Figure FDA00028361499700000311
and
Figure FDA00028361499700000312
respectively representing the upper limit and the lower limit of the discharge power of the kth terminal unit in the energy management terminal i of the producer and the consumer; ei,k,t-1And Ei,k,tRepresenting the energy values stored by the kth terminal unit in the energy management terminal i of the producer in the t-1 period and the t period;
Figure FDA00028361499700000313
and
Figure FDA00028361499700000314
respectively representing the charging efficiency and the discharging efficiency of the kth terminal unit in the energy management terminal i of the producer and the consumer; ei,k,maxAnd Ei,k,minRespectively representing the upper limit and the lower limit of the stored energy of the kth terminal unit in the energy management terminal i of the producer and the consumer;
increasing the value of k by 1, returning to the step of judging whether the kth terminal unit in the energy management terminal of the producer and consumer is an uncontrollable power generation unit or not to obtain a first judgment result until the value of k reaches the number of the terminal units in the energy management terminal of the producer and consumer, and obtaining a target function and a constraint condition of each terminal unit in the energy management terminal of the producer and consumer;
integrating the objective function of each terminal unit in the energy management terminal of the producer and the consumer to obtain the integrated objective function of
Figure FDA00028361499700000315
Wherein f isi,tRepresenting the total objective function, f, of the energy management terminal i of the producer or consumer during the time period tiShows that the energy management terminal i of the obstetric and Xiaoer is onMeasuring the integrated objective function in the management period; k represents the number of each terminal unit in the energy management terminal i of the producer and the consumer;
according to the integrated objective function and the constraint conditions of each terminal unit in the energy management terminal of the obstetrician and the stills, constructing an energy management initial model of the energy management terminal of the obstetrician and the stills as follows:
Figure FDA0002836149970000041
wherein z (i) is a collection of constraints for each terminal unit in the energy management terminal for the producer and the consumer.
3. The alternating direction multiplier method-based large-scale producer and consumer energy management method according to claim 1, wherein the constructing of the overall scheduling initial model with the goal of minimizing the electricity purchasing cost of the producer and consumer group management center specifically comprises:
constructing an objective function g of the steward and stills group management center in each time period by taking the minimization of the electricity purchasing cost of the steward and stills group management center as an objective0,t(P0,t) Comprises the following steps: g0,t(P0,t)=c0,g,t(P0,t+|P0,t|)/2-c0,s,t(P0,t-|P0,tI)/2; wherein, c0,g,tAnd c0,s,tRespectively representing the electricity purchasing price and the electricity selling price of the producer and consumer group management center as an agent for purchasing and selling electricity; p0,tRepresenting the total net electricity purchasing power value of the deputy group management center as an agent in the time period t;
using formulas
Figure FDA0002836149970000042
Respectively integrating the power consumption of each terminal unit in each producer and consumer energy management terminal to obtain the total power consumption of each producer and consumer energy management terminal in each time period; wherein, Pi,k,tRepresenting the electricity load of the kth terminal unit in the energy management terminal i of the producer in the time period t, Pi,tRepresenting the total power consumption of the energy management terminal i of the obstetrician in the time period t;
according to the total power consumption of each energy management terminal of the obstetrics and gynecology department in each time period, the constraint conditions for constructing the management center of the obstetrics and gynecology department group are as follows:
Figure FDA0002836149970000043
wherein, P0The method comprises the steps that 1 xT-dimensional power vectors are formed by using a producer and consumer group management center as an agent in the whole net electricity purchasing power value of each time interval in an energy management cycle, wherein T represents the number of the time intervals in the energy management cycle;
according to the objective function of the manager group management center of each period and the constraint conditions of the manager group management center, an overall scheduling initial model is constructed as follows:
Figure FDA0002836149970000044
g0(P0) Representing the objective function of the management center of the group of the parity of the victims in the energy management cycle.
4. The method for energy management of large-scale producers and consumers based on the alternating direction multiplier method as claimed in claim 1, wherein the modifying the energy management initial model and the overall scheduling initial model by using the approximate jacobian alternating direction multiplier method respectively to obtain the energy management modified model and the overall scheduling modified model specifically comprises:
correcting the energy management initial model by adopting an approximate Jacobian alternative direction multiplier method to obtain an energy management correction model as follows:
Figure FDA0002836149970000051
wherein, Fi n(Pi) And fi n(Pi) P corresponding to the energy management correction model and the energy management initial model of the energy management terminal i of the birth-stills at the nth iterationiIs the value of an objective function of a variable, PiFor each period of the energy management cycle by the energy management terminal i of the producer or consumerA 1 xT-dimensional power vector formed by the total power consumption;
Figure FDA0002836149970000052
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the nth iteration; pi n-1And Pi nRespectively representing 1 xT-dimensional power vectors formed by the total power consumption of the energy management terminal i of the producer and the consumer in each period of the energy management cycle in the (n-1) th iteration and the nth iteration; delta Pn-1And Δ PnRespectively representing unbalance vectors of the purchased electric power of the central agent of the producer and consumer group management and the total electric power of the producer and consumer in the n-1 th iteration and the n-th iteration; rhon、σnRespectively a first auxiliary multiplier and a second auxiliary multiplier in the approximate Jacobian alternating direction multiplier method in the nth iteration; lambda [ alpha ]nIs a 1xT Lagrange multiplier vector in the nth iteration; | | | represents a 2-norm; z (i) a collection of constraints for each terminal unit in the energy management terminal for the producer and consumer;
and (3) correcting the overall scheduling initial model by adopting an approximate Jacobian alternative direction multiplier method to obtain an overall scheduling correction model as follows:
Figure FDA0002836149970000053
wherein the content of the first and second substances,
Figure FDA0002836149970000054
p corresponding to the overall scheduling correction model and the overall scheduling initial model of the n-th iteration-time producer and consumer group management center0As an objective function of a variable, P0A 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time period of the energy management cycle;
Figure FDA0002836149970000055
represents the total power usage configuration by the energy management terminal j of the victim at each period of the energy management cycle at the n-1 iterationA resultant 1 xT-dimensional power vector, I representing the number of the parity producers managed by the parity producer group management center;
Figure FDA0002836149970000056
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the (n-1) th iteration; z (0) represents a collection of constraints of the prenatal and xiator group management center.
5. The alternating direction multiplier method-based large-scale producer and consumer energy management method according to claim 1, wherein the updating the first auxiliary multiplier, the second auxiliary multiplier and the lagrangian multiplier vector in the energy management correction model and the overall scheduling correction model by means of interaction between the power signal and the model parameter to obtain the energy management update model and the overall scheduling update model specifically comprises:
formula for central utilization of group management of the patients of both birth and consumption
Figure FDA0002836149970000061
Updating the first auxiliary multiplier to obtain a first auxiliary multiplier of the (n + 1) th iteration; using a formula according to the updated first auxiliary multiplier
Figure FDA0002836149970000062
Updating the second auxiliary multiplier and the Lagrange multiplier vector to obtain a second auxiliary multiplier and a Lagrange multiplier vector of the (n + 1) th iteration; issuing the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier vector of the (n + 1) th iteration to each producer and consumer energy management terminal; where ρ isnAnd ρn+1First auxiliary multipliers, x, representing the nth and n +1 th iterations, respectivelynAnd ynRespectively representing the original gap and the dual gap in the alternate iteration process in the nth iterationn+1A second auxiliary multiplier representing the (n + 1) th iteration, I representing the number of the parity producers managed by the parity producer group management center, and lambdanAnd λn+1Are respectively provided withLagrange multiplier vector, P, representing the nth and n +1 th iterationsi nRepresents a 1 xT-dimensional power vector composed of the total power consumption of the energy management terminal i of the passive at each period of the energy management cycle at the nth iteration,
Figure FDA0002836149970000063
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the nth iteration;
each producer and consumer energy management terminal respectively brings a first auxiliary multiplier, a second auxiliary multiplier and a Lagrange multiplier vector of the (n + 1) th iteration into an energy management correction model in parallel based on basic data of the producer and consumer energy management terminal, calculates to obtain a 1 xT-dimensional power vector formed by the total power consumption of the producer and consumer energy management terminal in each period of an energy management cycle during the (n + 1) th iteration of each producer and consumer energy management terminal, and respectively sends the power vector to a producer and consumer group management center;
the method comprises the steps that a producer and consumer group management center brings updated first auxiliary multipliers, second auxiliary multipliers and Lagrange multiplier vectors into an overall scheduling correction model, and a 1 xT-dimensional power vector formed by the overall net electricity purchasing power value of the producer and consumer group management center in each time period of an energy management cycle during the n +1 th iteration of the producer and consumer group management center is obtained through calculation;
the manager group management center uses a formula according to a 1 xT-dimensional power vector formed by the total power consumption of the manager energy management terminals in each time interval of the energy management cycle during the (n + 1) th iteration of each manager energy management terminal and a 1 xT-dimensional power vector formed by the whole net power purchasing power value of the manager group management center in each time interval of the energy management cycle during the (n + 1) th iteration of the manager group management center
Figure FDA0002836149970000071
Calculating the original gap x in the alternate iteration process of the (n + 1) th iterationn+1And dual gap yn+1(ii) a Wherein, Pi n+1Is shown asA 1 xT-dimensional power vector consisting of the total power consumption of the energy management terminal i of the passive at each period of the energy management cycle at n +1 iterations,
Figure FDA0002836149970000072
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each period of the energy management cycle during the (n + 1) th iteration;
judging whether the original clearance and the dual clearance in the alternate iteration process in the (n + 1) th iteration are both smaller than
Figure FDA0002836149970000073
Obtaining a fifth judgment result;
if the fifth judgment result shows no, increasing the value of n by 1, and returning to the step of' utilization formula of centers of group management of the prosumers and consumers
Figure FDA0002836149970000074
Updating the first auxiliary multiplier to obtain a first auxiliary multiplier of the (n + 1) th iteration; using a formula according to the updated first auxiliary multiplier
Figure FDA0002836149970000075
Updating the second auxiliary multiplier and the Lagrange multiplier vector to obtain a second auxiliary multiplier and a Lagrange multiplier vector of the (n + 1) th iteration; issuing the first auxiliary multiplier, the second auxiliary multiplier and the Lagrangian multiplier vector of the (n + 1) th iteration to each producer and consumer energy management terminal;
and if the fifth judgment result shows that the iteration is positive, substituting the vectors of the first auxiliary multiplier, the second auxiliary multiplier and the Lagrangian multiplier of the (n + 1) th iteration into the energy management correction model and the overall scheduling correction model to obtain an energy management update model and an overall scheduling update model.
6. A large-scale producer and consumer energy management system based on an alternating direction multiplier method, the energy management system comprising:
the energy management initial model building module is used for building an energy management initial model of the energy management terminal of the producer and the consumer based on basic data of the energy management terminal of the producer and the consumer and aiming at minimizing the maintenance cost and/or minimizing the use dissatisfaction degree utility of each terminal unit in the energy management terminal of the producer and the consumer;
the overall scheduling initial model building module is used for building an overall scheduling initial model by taking the electricity purchasing cost of the center of the producer and consumer group management as a target;
the model correction module is used for correcting the energy management initial model and the overall scheduling initial model by adopting an approximate Jacobian alternative direction multiplier method respectively to obtain an energy management correction model and an overall scheduling correction model;
the model parameter updating module is used for updating the vectors of the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier in the energy management correction model and the overall scheduling correction model in a mode of interaction of a power signal and model parameters to obtain an energy management updating model and an overall scheduling updating model;
and the energy management module is used for performing energy management of the birth and consumption person by using the energy management updating model and the overall scheduling updating model.
7. The system for large-scale production and consumption manager energy management based on the alternating direction multiplier method according to claim 6, wherein the energy management initial model building module specifically comprises:
the first judgment submodule is used for judging whether the kth terminal unit in the energy management terminal of the producer and the consumer is an uncontrollable power generation unit or not to obtain a first judgment result;
a first energy management module function constructing sub-module, configured to, if the first determination result indicates yes, construct an energy management objective function of a kth terminal unit based on basic data of the energy management terminal of the producer and the consumer, with a goal of minimizing a maintenance cost of the kth terminal unit: f. ofi,k,t=c1,i,kPi,k,t(ii) a Wherein f isi,k,tIndicating the ability of the patient to produce or disappearEnergy management objective function of kth terminal unit in quantity management terminal i in t period, c1,i,kRepresents the maintenance cost, P, of the kth terminal unit in the energy management terminal i of the producer and consumer during the period ti,k,tRepresenting the power load of the kth terminal unit in the energy management terminal i of the producer and the consumer in a period t, and constructing the constraint condition of the kth terminal unit as follows: pi,k,t=-Pi,GEN,t(ii) a Wherein, Pi,GEN,tRepresenting the predicted output of the uncontrollable power generation unit contained in the energy management terminal i of the producer and the consumer in the time period t;
a second judgment submodule, configured to judge whether a kth terminal unit in the energy management terminal of the obstetric and gynecologic department is a rigid load unit if the first judgment result indicates no, and obtain a second judgment result;
a second objective function constructing sub-module, configured to construct an energy management objective function of the kth terminal unit as
Figure FDA0002836149970000091
Wherein the content of the first and second substances,
Figure FDA0002836149970000092
and
Figure FDA0002836149970000093
respectively representing dissatisfaction degree utility coefficients caused when the working period of the kth terminal unit in the energy management terminal i of the producer and the expected period have positive and negative deviations;
Figure FDA0002836149970000094
and
Figure FDA0002836149970000095
respectively representing the start time and the end time of the expected period of the kth terminal unit in the energy management terminal i of the producerEngraving; p2,i,kRepresenting the rated power of the kth terminal unit in the energy management terminal i of the obstetrician; the constraint conditions for constructing the kth terminal unit are as follows:
Figure FDA0002836149970000096
wherein s isi,k,t-1And si,k,tVariables describing the working state of the kth terminal unit in the energy management terminal i of the obstetrician and the energy management terminal i in the t-1 time period and the t time period respectively; on is ani,k,t-1And offi,k,t-1Respectively describing a variable for describing whether a kth terminal unit in the energy management terminal i of a deputy carries out startup operation or not in a t period and a variable for describing shutdown operation; t is the number of time segments contained in the energy management cycle;
a third judgment sub-module, configured to, if the second judgment result indicates no, judge whether a kth terminal unit in the energy management terminal of the producer or the consumer is a temperature control load unit, and obtain a third judgment result;
a third objective function constructing sub-module, configured to, if the third determination result indicates yes, based on the basic data of the energy management terminal of the producer and the consumer, minimize the utility of the use dissatisfaction degree of the kth terminal unit as a target, and construct an energy management objective function of the kth terminal unit as:
Figure FDA0002836149970000097
wherein, γ3,i,kIndoor temperature representing time period t of place of kth terminal unit in energy management terminal i of producer
Figure FDA0002836149970000098
Comfortable temperature
Figure FDA0002836149970000099
The unsatisfactory degree utility coefficient caused by the deviation; the constraint conditions for constructing the kth terminal unit are as follows:
Figure FDA00028361499700000910
wherein, Pi,k,maxAnd Pi,k,minUpper and lower limits, G, respectively, of power for the kth terminal unit in the energy management terminal i of the produceri,kAnd Ci,kRespectively managing the thermal mass and thermal conductivity parameters of the kth terminal unit in the terminal i for the energy of the producer and the consumer; tau represents an energy management scheduling interval, and the value is the number of hours of an energy management period divided by the number of time segments T contained in the energy management period;
Figure FDA0002836149970000101
managing the outdoor temperature of the place where the kth terminal unit in the terminal i is located in the period t for the energy of the producer;
a fourth judging submodule, configured to judge whether a kth terminal unit in the energy management terminal of the producer or the consumer is an energy storage characteristic unit if the third judging result indicates no, and obtain a fourth judging result;
a fourth objective function constructing sub-module, configured to, if the fourth determination result indicates yes, construct, based on the basic data of the energy management terminal of the producer and the consumer, an energy management objective function of a kth terminal unit as: f. ofi,k,t0; the constraint conditions for constructing the kth terminal unit are as follows:
Figure FDA0002836149970000102
wherein the content of the first and second substances,
Figure FDA0002836149970000103
and
Figure FDA0002836149970000104
respectively representing the charging power and the discharging power of a kth terminal unit in the energy management terminal i of the obstetrician during a period t;
Figure FDA0002836149970000105
and
Figure FDA0002836149970000106
respectively representing the charging power and the discharging power of the kth terminal unit in the energy management terminal i of the obstetrician during the t-1 period,
Figure FDA0002836149970000107
a variable describing the charge-discharge state of the kth terminal unit in the energy management terminal i of the obstetrician and the energy management terminal i in the period t;
Figure FDA0002836149970000108
and
Figure FDA0002836149970000109
respectively representing the upper limit and the lower limit of the charging power of the kth terminal unit in the energy management terminal i of the producer and the consumer;
Figure FDA00028361499700001010
and
Figure FDA00028361499700001011
respectively representing the upper limit and the lower limit of the discharge power of the kth terminal unit in the energy management terminal i of the producer and the consumer; ei,k,tRepresenting the energy value stored by the kth terminal unit in the energy management terminal i of the obstetrician in the t period;
Figure FDA00028361499700001012
and
Figure FDA00028361499700001013
respectively representing the charging efficiency and the discharging efficiency of the kth terminal unit in the energy management terminal i of the producer and the consumer; ei,k,maxAnd Ei,k,minRespectively representing the upper limit and the lower limit of the stored energy of the kth terminal unit in the energy management terminal i of the producer and the consumer;
the first returning submodule is used for increasing the value of k by 1, returning to the step of judging whether the kth terminal unit in the energy management terminal of the producer and the consumer is an uncontrollable power generation unit or not to obtain a first judgment result until the value of k reaches the number of the terminal units in the energy management terminal of the producer and the consumer, and obtaining a target function and a constraint condition of each terminal unit in the energy management terminal of the producer and the consumer;
an objective function integration submodule for integrating the objective function of each terminal unit in the energy management terminal of the obstetrician and the xian to obtain the integrated objective function of
Figure FDA00028361499700001014
Wherein f isi,tRepresenting the total objective function, f, of the energy management terminal i of the producer or consumer during the time period tiRepresenting an objective function of the energy management terminal i of the prosumer after integration in the energy management period; k represents the number of each terminal unit in the energy management terminal i of the producer and the consumer;
the energy management initial model building submodule is used for building an energy management initial model of the energy management terminal of the producer and the consumer according to the integrated objective function and the constraint condition of each terminal unit in the energy management terminal of the producer and the consumer:
Figure FDA0002836149970000111
wherein z (i) is a collection of constraints for each terminal unit in the energy management terminal for the producer and the consumer.
8. The system for large-scale production and consumption energy management based on the alternating direction multiplier method according to claim 6, wherein the overall scheduling initial model building module specifically comprises:
a fifth objective function constructing submodule for constructing an objective function g of the producer and consumer group management center in each time period with the electricity purchase cost minimization of the producer and consumer group management center as a target0,t(P0,t) Comprises the following steps: g0,t(P0,t)=c0,g,t(P0,t+|P0,t|)/2-c0,s,t(P0,t-|P0,tI)/2; wherein, c0,g,tAnd c0,s,tRespectively representing the electricity purchasing price and the electricity selling price of the producer and consumer group management center as an agent for purchasing and selling electricity; p0,tRepresenting the total net electricity purchasing power value of the deputy group management center as an agent in the time period t;
power integration submodule for using formula
Figure FDA0002836149970000112
Respectively integrating the power consumption of each terminal unit in each producer and consumer energy management terminal to obtain the total power consumption of each producer and consumer energy management terminal in each time period; wherein, Pi,k,tRepresenting the electricity load of the kth terminal unit in the energy management terminal i of the producer in the time period t, Pi,tRepresenting the total power consumption of the energy management terminal i of the obstetrician in the time period t;
and the constraint condition construction submodule is used for constructing a constraint condition of the obstetric and stills group management center according to the total power consumption of each obstetric and stills energy management terminal in each time period as follows:
Figure FDA0002836149970000113
wherein, P0The method comprises the steps that 1 xT-dimensional power vectors are formed by using a producer and consumer group management center as an agent in the whole net electricity purchasing power value of each time interval in an energy management cycle, wherein T represents the number of the time intervals in the energy management cycle;
the overall scheduling initial model building submodule is used for building an overall scheduling initial model according to the objective function of the producer and consumer group management center and the constraint conditions of the producer and consumer group management center in each time period, and comprises the following steps:
Figure FDA0002836149970000114
g0(P0) Representing the objective function of the management center of the group of the parity of the victims in the energy management cycle.
9. The system according to claim 6, wherein the model modification module comprises:
the first model correction submodule is used for correcting the energy management initial model by adopting an approximate Jacobian alternating direction multiplier method, and the obtained energy management correction model is as follows:
Figure FDA0002836149970000121
wherein, Fi n(Pi) And fi n(Pi) P corresponding to the energy management correction model and the energy management initial model of the energy management terminal i of the birth-stills at the nth iterationiIs the value of an objective function of a variable, PiA 1 xT-dimensional power vector formed by the total power consumption of the energy management terminal i of the producer and the consumer in each period of the energy management cycle;
Figure FDA0002836149970000122
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the nth iteration; pi n-1And Pi nRespectively representing 1 xT-dimensional power vectors formed by the total power consumption of the energy management terminal i of the producer and the consumer in each period of the energy management cycle in the (n-1) th iteration and the nth iteration; delta Pn-1And Δ PnRespectively representing unbalance vectors of the purchased electric power of the central agent of the producer and consumer group management and the total electric power of the producer and consumer in the n-1 th iteration and the n-th iteration; rhon、σnRespectively a first auxiliary multiplier and a second auxiliary multiplier in the approximate Jacobian alternating direction multiplier method in the nth iteration; lambda [ alpha ]nIs a 1xT Lagrange multiplier vector in the nth iteration; | | | represents a 2-norm; z (i) a collection of constraints for each terminal unit in the energy management terminal for the producer and consumer;
the second model modification submodule is used for modifying the overall scheduling initial model by adopting an approximate Jacobian alternative direction multiplier method, and the obtained overall scheduling modification model is as follows:
Figure FDA0002836149970000123
wherein,
Figure FDA0002836149970000124
Figure FDA0002836149970000125
P corresponding to the overall scheduling correction model and the overall scheduling initial model of the n-th iteration-time producer and consumer group management center0As an objective function of a variable, P0A 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time period of the energy management cycle;
Figure FDA0002836149970000126
representing a 1 xT-dimensional power vector formed by the total power consumption of the energy management terminal j of the obstetrical and abortive person in each period of the energy management cycle during the (n-1) th iteration, wherein I represents the number of the obstetrical and abortive persons managed by the obstetrical and abortive person group management center;
Figure FDA0002836149970000127
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the (n-1) th iteration; z (0) represents a collection of constraints of the prenatal and xiator group management center.
10. The system according to claim 6, wherein the model parameter update module comprises:
a model parameter update submodule for using the formula through the administrative center of the group of the parity
Figure FDA0002836149970000131
Updating the first auxiliary multiplier to obtain a first auxiliary multiplier of the (n + 1) th iteration; using a formula according to the updated first auxiliary multiplier
Figure FDA0002836149970000132
Updating the second auxiliary multiplier and the Lagrange multiplier vector to obtain a second auxiliary multiplier and a Lagrange multiplier vector of the (n + 1) th iteration; issuing the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier vector of the (n + 1) th iteration to each producer and consumer energy management terminal; where ρ isnAnd ρn+1First auxiliary multipliers, x, representing the nth and n +1 th iterations, respectivelynAnd ynRespectively representing the original gap and the dual gap in the alternate iteration process in the nth iterationn+1A second auxiliary multiplier representing the (n + 1) th iteration, I representing the number of the parity producers managed by the parity producer group management center, and lambdanAnd λn+1Lagrange multiplier vectors, P, representing the nth and n +1 th iterations, respectivelyi nRepresents a 1 xT-dimensional power vector composed of the total power consumption of the energy management terminal i of the passive at each period of the energy management cycle at the nth iteration,
Figure FDA0002836149970000133
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each time interval of the energy management cycle during the nth iteration;
the power consumption calculation submodule is used for respectively and parallelly substituting the vectors of the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier of the (n + 1) th iteration into an energy management correction model through the energy management terminals of the producers and the consumers based on basic data of the energy management terminals of the producers and the consumers, calculating to obtain a 1 xT-dimensional power vector formed by the total power consumption of the energy management terminals of the producers and the consumers in each period of the energy management cycle during the (n + 1) th iteration of the energy management terminals of the producers and the consumers, and respectively sending the power vector to the producer and consumer group management center;
the electricity purchasing power calculation submodule is used for substituting the updated first auxiliary multiplier, second auxiliary multiplier and Lagrange multiplier vectors into an overall scheduling correction model through the producer group management center, and calculating to obtain a 1 xT-dimensional power vector formed by the overall net electricity purchasing power value of the producer group management center in each time period of the energy management cycle during the n +1 th iteration of the producer group management center;
an original clearance and dual clearance calculation submodule used for calculating a 1 xT-dimensional power vector formed by the total power consumption of the energy management terminals of the producers and the consumers in each time interval of the energy management cycle through the producer and consumer group management center according to the (n + 1) th iteration of the energy management terminals of the producers and the consumers, and a 1 xT-dimensional power vector formed by the integral net electricity purchasing power value of the energy management center in each time interval of the energy management cycle through the producer and consumer group management center in the (n + 1) th iteration of the producer and consumer group management center, and by using a formula
Figure FDA0002836149970000141
Calculating the original gap x in the alternate iteration process of the (n + 1) th iterationn+1And dual gap yn+1(ii) a Wherein, Pi n+1Represents a 1 xT-dimensional power vector composed of the total power consumption of the energy management terminal i of the passive at each period of the energy management cycle at the (n + 1) th iteration,
Figure FDA0002836149970000142
representing a 1 xT-dimensional power vector formed by the whole net purchased electric power value of the producer and consumer group management center in each period of the energy management cycle during the (n + 1) th iteration;
a fifth judging submodule for judging whether the original gap and the dual gap in the alternate iteration process during the (n + 1) th iteration are both smaller than
Figure FDA0002836149970000143
Obtaining a fifth judgment result;
a second returning submodule, configured to increase the value of n by 1 if the fifth determination result indicates no, and return to the step "using the formula in the center of the management of the passive group of the producers and consumers
Figure FDA0002836149970000144
Updating the first auxiliary multiplier to obtain a first auxiliary multiplier of the (n + 1) th iteration; using a formula according to the updated first auxiliary multiplier
Figure FDA0002836149970000145
Updating the second auxiliary multiplier and the Lagrange multiplier vector to obtain a second auxiliary multiplier and a Lagrange multiplier vector of the (n + 1) th iteration; issuing the first auxiliary multiplier, the second auxiliary multiplier and the Lagrangian multiplier vector of the (n + 1) th iteration to each producer and consumer energy management terminal;
and the update model output submodule is used for substituting the vectors of the first auxiliary multiplier, the second auxiliary multiplier and the Lagrange multiplier of the (n + 1) th iteration into the energy management correction model and the overall scheduling correction model if the fifth judgment result shows that the vectors are positive, so as to obtain the energy management update model and the overall scheduling update model.
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