CN112381367A - Distributed energy storage control method and system for user side power utilization management - Google Patents

Distributed energy storage control method and system for user side power utilization management Download PDF

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CN112381367A
CN112381367A CN202011200441.8A CN202011200441A CN112381367A CN 112381367 A CN112381367 A CN 112381367A CN 202011200441 A CN202011200441 A CN 202011200441A CN 112381367 A CN112381367 A CN 112381367A
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吴宁
肖静
冯玉斌
韩帅
鲍海波
覃斌志
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Electric Power Research Institute of Guangxi Power Grid Co Ltd
Nanning Power Supply Bureau of Guangxi Power Grid Co Ltd
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Abstract

The invention discloses a distributed energy storage control method and a distributed energy storage control system for user side power utilization management, wherein the method comprises the following steps: determining the load capacity and the comprehensive income of power consumption management of a user; constructing an electric charge expenditure model of user side electricity utilization management based on the user load and the comprehensive income of the electricity utilization management; and carrying out global optimization on the electricity charge expenditure model based on an iterative algorithm by taking the time-of-use electricity price of the power grid as a constraint condition to obtain a distributed energy storage control strategy of the user side in a time period. In the embodiment of the invention, the living and production cost of the user side can be reduced, and the peak clipping and valley filling of the power grid side are promoted.

Description

Distributed energy storage control method and system for user side power utilization management
Technical Field
The invention relates to the technical field of electric power, in particular to a distributed energy storage control method and system for user side power utilization management.
Background
With the development of modern power grids, energy storage technology is increasingly applied to power systems. The energy storage technology has the characteristics of realizing flexible conversion and comprehensive utilization of electric energy and other energy, solving the problem of multi-scale asynchronization of electric energy production and consumption and promoting the electric energy to have translation in time and space. Considering the characteristics of distributed energy storage such as scattered arrangement, flexible charging and discharging, high corresponding speed and the like, the distributed energy storage technology has irreplaceable effects on the power grid side and the user side, and the distributed energy storage technology is a new opportunity for distributed energy storage development.
At present, research between user side demand response and time-of-use electricity price is sufficient, but research on combination of distributed energy storage and user side demand is less, most of the research focuses on researching income problems of both parties by using the characteristics of energy storage devices discharging in peak sections and charging in valley sections of a power grid after a distributed power supply is connected into the power grid, and how the energy storage devices are used for improving the permeability of distributed power generation to reduce the wind and light abandoning rate, so that the energy utilization rate and the power supply reliability are improved. However, in the planning and operation research of distributed energy storage, how to combine the user-side demand response and the user load characteristic adjustment to realize the optimal operation of the power distribution network is a problem to be solved by the invention.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a distributed energy storage control method and a distributed energy storage control system for user side power utilization management, which can reduce the living and production cost of a user side and promote peak clipping and valley filling of a power grid side.
In order to solve the above problem, the present invention provides a distributed energy storage control method for user side power consumption management, where the method includes:
acquiring the load capacity and the comprehensive income of power consumption management of a user;
constructing an electric charge expenditure model of user side electricity utilization management based on the user load and the comprehensive income of the electricity utilization management;
and determining a constraint condition of the electric charge expenditure model, performing iterative operation and global optimization on the electric charge expenditure model based on the constraint condition, and obtaining a distributed energy storage control strategy of a user side in a time period.
Optionally, the user load amount is:
Figure BDA0002749682540000021
wherein, P(k,t)For the user load of user k in the t time period,
Figure BDA0002749682540000022
for the stiffness demand load amount of user k during the t period,
Figure BDA0002749682540000023
the interruptible appliance load capacity of the user k in the t time period is G, the set of all necessary appliances is G, and the set of all non-necessary appliances is F.
Optionally, the comprehensive income of power consumption management is as follows:
Bs(t)＝C(k,t)+V(k,t)
C(k,t)＝R×P(k,t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
V(k,t)＝P(k,t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
wherein, Bs(t)For comprehensive profit of power management in t time period, C(k,t)For cost reduction mode revenue, V, for user k during time period t(k,t)The value added mode gain of the user k in the time period t, R is the comprehensive power utilization comfort level and SOC of the usert+1Is the state of charge, SOC, of the energy storage device in the t +1 time periodtIs the state of charge of the energy storage device during the time period t, SmaxRated capacity of the energy storage device, ρg(t+1)Is the power grid electricity price, rho, in the t +1 time periodg(t)And the power grid electricity price in the time period t is obtained.
Optionally, the electricity fee expenditure model of the user side electricity management is as follows:
Figure BDA0002749682540000024
wherein, CkAnd (4) the power consumption expenditure of the user K in the time period T, T is the total time of model metering, and K is the total number of users in the region.
Optionally, the constraint conditions of the electricity fee expenditure model include user electricity utilization comfort, energy storage charge state and energy storage charge and discharge electricity price constraints.
In addition, an embodiment of the present invention further provides a distributed energy storage control system for user side power consumption management, where the system includes:
the data acquisition module is used for acquiring the load capacity and the comprehensive income of power consumption management of the user;
the model construction module is used for constructing an electric charge expenditure model of the user side electricity utilization management based on the user load and the comprehensive income of the electricity utilization management;
and the strategy output module is used for determining the constraint condition of the electric charge expenditure model, performing iterative operation and global optimization on the electric charge expenditure model based on the constraint condition and acquiring the distributed energy storage control strategy of the user side at a time interval.
Optionally, the user load amount is:
Figure BDA0002749682540000031
wherein, P(k，t)For the user load of user k in the t time period,
Figure BDA0002749682540000032
for the stiffness demand load amount of user k during the t period,
Figure BDA0002749682540000033
the interruptible appliance load capacity of the user k in the t time period is G, the set of all necessary appliances is G, and the set of all non-necessary appliances is F.
Optionally, the comprehensive income of power consumption management is as follows:
Bs(t)＝C(k，t)+V(k，t)
C(k，t)＝R×P(k，t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
V(k，t)＝P(k，t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
wherein, Bs(t)For comprehensive profit of power management in t time period, C(k，t)For cost reduction mode revenue, V, for user k during time period t(k，t)The value added mode gain of the user k in the time period t, R is the comprehensive power utilization comfort level and SOC of the usert+1Is the state of charge, SOC, of the energy storage device in the t +1 time periodtIs the state of charge of the energy storage device during the time period t, SmaxRated capacity of the energy storage device, ρg(t+1)Is the power grid electricity price, rho, in the t +1 time periodg(t)And the power grid electricity price in the time period t is obtained.
Optionally, the electricity fee expenditure model of the user side electricity management is as follows:
Figure BDA0002749682540000034
wherein, CkAnd (4) the power consumption expenditure of the user K in the time period T, T is the total time of model metering, and K is the total number of users in the region.
Optionally, the constraint conditions of the electricity fee expenditure model include user electricity utilization comfort, energy storage charge state and energy storage charge and discharge electricity price constraints.
In the embodiment of the invention, the method can help the user to carry out peak staggering power utilization under the condition of not changing the power utilization habit, not only reduces the living and production cost of the user, but also relaxes the peak regulation pressure of the power grid, thereby relieving the blocking condition of the power grid in the peak load period; in addition, the power utilization comfort degree of the user side is increased as a decision index, and the influence of load shedding on the power utilization of the user side under power failure or other power grid faults can be reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a distributed energy storage control method for user-side power consumption management in an embodiment of the present invention;
fig. 2 is a schematic structural composition diagram of a distributed energy storage control system for user-side power consumption management in the embodiment 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.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a distributed energy storage control method for user-side power consumption management according to an embodiment of the present invention.
As shown in fig. 1, a distributed energy storage control method for user side power consumption management includes the following steps:
s101, acquiring the load capacity and the comprehensive income of power consumption management of a user, which is specifically as follows:
(1) obtaining the user load amount as follows:
Figure BDA0002749682540000041
Figure BDA0002749682540000042
wherein, P(k，t)For the user load of user k in the t time period,
Figure BDA0002749682540000051
for the stiffness demand load amount of user k during the t period,
Figure BDA0002749682540000052
the load capacity of the interruptible electric appliances of the user k in the time period t, G is the set of all necessary electric appliances, F is the set of all non-necessary electric appliances, and the variable is 0-1
Figure BDA0002749682540000053
Starting and stopping control variable 0-1 of interruptible electrical equipment f for user k in t time period
Figure BDA0002749682540000054
A variable of 0 to 1 is used for judging whether the user k belongs to the habitual use time interval of the interruptible electrical appliance f in the time period t
Figure BDA0002749682540000055
Rated power of interruptible electrical consumer f for user k, Δ t isThe duration of the interruption.
Note that the rigidity requires a load amount
Figure BDA0002749682540000056
The method mainly refers to the electricity utilization load quantity which is necessary to be utilized by family users and enterprise users in the life and production process, and specific values can be obtained by summarizing historical load data of electricity utilization of the electric appliance g and utilizing an improved grey prediction model to predict electricity utilization characteristics of the historical load data; load capacity of interruptible electric appliance
Figure BDA0002749682540000057
The method mainly refers to the electricity utilization load quantity which is not necessarily utilized by family users and enterprise users in the life and production process, and specific values can be obtained by assuming the start-stop state of the electric appliance f in each period when the electric appliance f works by using rated power.
(2) Acquiring the comprehensive income of power consumption management as follows:
Bs(t)＝C(k，t)+V(k，t)
C(k，t)＝R×P(k，t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
V(k，t)＝P(k，t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
Figure BDA0002749682540000058
wherein, Bs(t)For comprehensive profit of power management in t time period, C(k，t)For cost reduction mode revenue, V, for user k during time period t(k，t)The value added mode gain of the user k in the time period t, R is the comprehensive power utilization comfort level and SOC of the usert+1Is the state of charge, SOC, of the energy storage device in the t +1 time periodtIs the state of charge of the energy storage device during the time period t, SmaxRated capacity of the energy storage device, ρg(t+1)Is the power grid electricity price, rho, in the t +1 time periodg(t)Is the grid electricity price in the time period t, gammafΓ to interrupt the user's priority, to ensure that appliances f of high priority are not switched off during electricity usefIt should satisfy:
Figure BDA0002749682540000059
the maximum rated power of the interruptible class f,
Figure BDA00027496825400000510
the minimum rated power of the interruptible electric appliance f is n, and the importance index of the interruptible electric appliance f is n;
further, the relationship between the state of charge (SOC) of stored energy and the charge-discharge power is established as follows:
Figure BDA0002749682540000061
Figure BDA0002749682540000062
wherein, lambda is the energy storage control variable, eta is the energy storage charge-discharge efficiency, PBAnd (t) is energy storage charging and discharging power, and the energy storage charging time is positive, the energy storage discharging time is negative, and the energy storage static time is zero.
Note that, the cost reduction mode profit C(k，t)Can express the income obtained by the energy storage device for directly supplying energy to the user side and the income V of the value-added mode(k，t)Can show that energy memory will store the difference price income that electric energy feed in the electric wire netting side obtained when peak period electricity price, synthesize and use electric comfort level R can influence the user side to energy memory's investment dynamics and participate in the enthusiasm that demand side responded, and because rigidity demand electrical apparatus G can not influence user's intuitional experience basically, interruptible class consumer F directly influences user's power consumption custom, and the here is only calculated to interruptible class consumer F's power consumption comfort level.
S102, based on the user load and the comprehensive income of power consumption management, constructing a power charge expenditure model of power consumption management at a user side as follows:
Figure BDA0002749682540000063
wherein, CkFor the electricity consumption expenditure of a user K in a time period T, T is the total time of model metering, K is the total number of users in a region, and the power grid electrovalence rhog(t)The time-of-use trend of the electricity price can be directly obtained from the power grid side through information interaction between the user side and the power grid side.
S103, determining a constraint condition of the electric charge expenditure model, performing iterative operation and global optimization on the electric charge expenditure model based on the constraint condition, and obtaining a distributed energy storage control strategy of a user side in a time period.
In the implementation process of the invention, firstly, the constraint conditions of the electric charge expenditure model are determined to comprise the user electricity utilization comfort level, the energy storage charge state and the energy storage charge-discharge electricity price constraint, wherein:
the user electricity utilization comfort level R should satisfy:
0≤R≤1
the energy storage state of charge SOCtIt should satisfy:
SOCmin≤SOCt≤SOCmax
the energy storage charging and discharging electrovalence constraint should satisfy:
Figure BDA0002749682540000071
aiming at energy storage charging and discharging electricity price constraint, the embodiment of the invention ensures that the energy storage device only discharges when the electricity price of the power grid exceeds the flat section electricity price and discharges when the electricity price of the power grid is lower than the flat section electricity price;
secondly, the three mentioned constraint conditions are led into the electric charge expenditure model, the highest profit of the user side and the best electricity utilization comfort degree are taken as optimization targets, the electric charge expenditure model is iteratively solved to obtain the lowest electric charge expenditure under the energy storage time sharing period, and the distributed energy storage control strategy under the time sharing period of the user side is output to be M (t) ═ F (lambda, t).
In the embodiment of the invention, the method can help the user to carry out peak staggering power utilization under the condition of not changing the power utilization habit, not only reduces the living and production cost of the user, but also relaxes the peak regulation pressure of the power grid, thereby relieving the blocking condition of the power grid in the peak load period; in addition, the power utilization comfort degree of the user side is increased as a decision index, and the influence of load shedding on the power utilization of the user side under power failure or other power grid faults can be reduced.
Referring to fig. 2, fig. 2 is a schematic structural composition diagram of a distributed energy storage control system for user side power consumption management in an embodiment of the present invention.
As shown in fig. 2, a distributed energy storage control system for user side electricity management includes the following:
the data acquisition module 201 is configured to acquire user load and comprehensive income of power consumption management, and the specific implementation process includes:
(1) obtaining the user load amount as follows:
Figure BDA0002749682540000072
Figure BDA0002749682540000073
wherein, P(k,t)For the user load of user k in the t time period,
Figure BDA0002749682540000074
for the stiffness demand load amount of user k during the t period,
Figure BDA0002749682540000075
the load capacity of the interruptible electric appliances of the user k in the time period t, G is the set of all necessary electric appliances, F is the set of all non-necessary electric appliances, and the variable is 0-1
Figure BDA0002749682540000076
Starting and stopping control variable 0-1 of interruptible electrical equipment f for user k in t time period
Figure BDA0002749682540000077
A variable of 0 to 1 is used for judging whether the user k belongs to the habitual use time interval of the interruptible electrical appliance f in the time period t
Figure BDA0002749682540000078
And the rated power of the interruptible electrical appliance f used by the user k, wherein delta t is the interruption time length.
Note that the rigidity requires a load amount
Figure BDA0002749682540000081
The method mainly refers to the electricity utilization load quantity which is necessary to be utilized by family users and enterprise users in the life and production process, and specific values can be obtained by summarizing historical load data of electricity utilization of the electric appliance g and utilizing an improved grey prediction model to predict electricity utilization characteristics of the historical load data; load capacity of interruptible electric appliance
Figure BDA0002749682540000082
The method mainly refers to the electricity utilization load quantity which is not necessarily utilized by family users and enterprise users in the life and production process, and specific values can be obtained by assuming the start-stop state of the electric appliance f in each period when the electric appliance f works by using rated power.
(2) Acquiring the comprehensive income of power consumption management as follows:
Bs(t)＝C(k，t)+V(k，t)
C(k，t)＝R×P(k，t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
V(k，t)＝P(k，t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
Figure BDA0002749682540000083
wherein, Bs(t)For comprehensive profit of power management in t time period, C(k，t)For cost reduction mode revenue, V, for user k during time period t(k，t)The value added mode gain of the user k in the time period t, R is the comprehensive power utilization comfort level and SOC of the usert+1Is the state of charge, SOC, of the energy storage device in the t +1 time periodtIs the state of charge of the energy storage device during the time period t, SmaxRated capacity of the energy storage device, ρg(t+1)Is the power grid electricity price, rho, in the t +1 time periodg(t)Is the grid electricity price in the time period t, gammafΓ to interrupt the user's priority, to ensure that appliances f of high priority are not switched off during electricity usefIt should satisfy:
Figure BDA0002749682540000084
the maximum rated power of the interruptible class f,
Figure BDA0002749682540000085
the minimum rated power of the interruptible electric appliance f is n, and the importance index of the interruptible electric appliance f is n;
further, the relationship between the state of charge (SOC) of stored energy and the charge-discharge power is established as follows:
Figure BDA0002749682540000086
Figure BDA0002749682540000087
wherein, lambda is the energy storage control variable, eta is the energy storage charge-discharge efficiency, PBAnd (t) is energy storage charging and discharging power, and the energy storage charging time is positive, the energy storage discharging time is negative, and the energy storage static time is zero.
Note that, the cost reduction mode profit C(k，t)Can indicate that the energy storage device is a userIncome obtained by side direct energy supply and income V in value-added mode(k，t)Can show that energy memory will store the difference price income that electric energy feed in the electric wire netting side obtained when peak period electricity price, synthesize and use electric comfort level R can influence the user side to energy memory's investment dynamics and participate in the enthusiasm that demand side responded, and because rigidity demand electrical apparatus G can not influence user's intuitional experience basically, interruptible class consumer F directly influences user's power consumption custom, and the here is only calculated to interruptible class consumer F's power consumption comfort level.
The model building module 202 is configured to build an electric charge expenditure model of the user side electric power management based on the user load and the comprehensive income of the electric power management, where the electric charge expenditure model is:
Figure BDA0002749682540000091
wherein, CkFor the electricity consumption expenditure of a user K in a time period T, T is the total time of model metering, K is the total number of users in a region, and the power grid electrovalence rhog(t)The time-of-use trend of the electricity price can be directly obtained from the power grid side through information interaction between the user side and the power grid side.
And the strategy output module 203 is used for determining a constraint condition of the electric charge expenditure model, performing iterative operation and global optimization on the electric charge expenditure model based on the constraint condition, and acquiring a distributed energy storage control strategy of a user side at a time interval.
In the implementation process of the invention, firstly, the constraint conditions of the electric charge expenditure model are determined to comprise the user electricity utilization comfort level, the energy storage charge state and the energy storage charge-discharge electricity price constraint, wherein:
the user electricity utilization comfort level R should satisfy:
0≤R≤1
the energy storage state of charge SOCtIt should satisfy:
SOCmin≤SOCt≤SOCmax
the energy storage charging and discharging electrovalence constraint should satisfy:
Figure BDA0002749682540000092
aiming at energy storage charging and discharging electricity price constraint, the embodiment of the invention only ensures that the energy storage device discharges when the electricity price of the power grid exceeds the flat section electricity price and discharges when the electricity price of the power grid is lower than the flat section electricity price;
and secondly, importing the three constraint conditions into the electric charge expenditure model, and carrying out iterative solution on the electric charge expenditure model by taking the highest profit of the user side and the best electricity utilization comfort level as optimization targets to obtain the lowest electric charge expenditure in the energy storage time period and output a distributed energy storage control strategy in the time period of the user side.
In the embodiment of the invention, the method can help the user to carry out peak staggering power utilization under the condition of not changing the power utilization habit, not only reduces the living and production cost of the user, but also relaxes the peak regulation pressure of the power grid, thereby relieving the blocking condition of the power grid in the peak load period; in addition, the power utilization comfort degree of the user side is increased as a decision index, and the influence of load shedding on the power utilization of the user side under power failure or other power grid faults can be reduced.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The above detailed description is given to the distributed energy storage control method and system for user-side power consumption management according to the embodiments of the present invention, and a specific example is used herein to explain the principle and implementation manner of the present invention, and the description of the above embodiments is only used to help understanding the method and core ideas of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A distributed energy storage control method for user side electricity utilization management is characterized by comprising the following steps:
acquiring the load capacity and the comprehensive income of power consumption management of a user;
constructing an electric charge expenditure model of user side electricity utilization management based on the user load and the comprehensive income of the electricity utilization management;
and determining a constraint condition of the electric charge expenditure model, performing iterative operation and global optimization on the electric charge expenditure model based on the constraint condition, and obtaining a distributed energy storage control strategy of a user side in a time period.
2. The distributed energy storage control method for user side power utilization management according to claim 1, wherein the user load amount is:
Figure FDA0002749682530000011
wherein, P(k，t)For the user load of user k in the t time period,
Figure FDA0002749682530000012
for the stiffness demand load amount of user k during the t period,
Figure FDA0002749682530000013
the interruptible appliance load capacity of the user k in the t time period is G, the set of all necessary appliances is G, and the set of all non-necessary appliances is F.
3. The distributed energy storage control method for user side power utilization management according to claim 2, wherein the integrated profit of power utilization management is as follows:
Bs(t)＝C(k，t)+V(k，t)
C(k，t)＝R×P(k，t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
V(k，t)＝P(k，t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
wherein, Bs(t)For comprehensive profit of power management in t time period, C(k，t)For cost reduction mode revenue, V, for user k during time period t(k，t)The value added mode gain of the user k in the time period t, R is the comprehensive power utilization comfort level and SOC of the usert+1Is the state of charge, SOC, of the energy storage device in the t +1 time periodtIs the state of charge of the energy storage device during the time period t, SmaxRated capacity of the energy storage device, ρg(t+1)Is the power grid electricity price, rho, in the t +1 time periodg(t)And the power grid electricity price in the time period t is obtained.
4. The distributed energy storage control method for user side electricity management according to claim 3, wherein the electricity fee expenditure model for user side electricity management is:
Figure FDA0002749682530000021
wherein, CkAnd (4) the power consumption expenditure of the user K in the time period T, T is the total time of model metering, and K is the total number of users in the region.
5. The distributed energy storage control method for user side electricity utilization management according to claim 1, wherein the constraint conditions of the electricity fee expenditure model comprise user electricity utilization comfort, energy storage charge state and energy storage charge-discharge electricity price constraints.
6. A distributed energy storage control system for customer side power usage management, the system comprising:
the data acquisition module is used for acquiring the load capacity and the comprehensive income of power consumption management of the user;
the model construction module is used for constructing an electric charge expenditure model of the user side electricity utilization management based on the user load and the comprehensive income of the electricity utilization management;
and the strategy output module is used for determining the constraint condition of the electric charge expenditure model, performing iterative operation and global optimization on the electric charge expenditure model based on the constraint condition and acquiring the distributed energy storage control strategy of the user side at a time interval.
7. The distributed energy storage control system for user-side power consumption management according to claim 6, wherein the user load amount is:
Figure FDA0002749682530000022
wherein, P(k，t)For the user load of user k in the t time period,
Figure FDA0002749682530000023
for the stiffness demand load amount of user k during the t period,
Figure FDA0002749682530000024
the interruptible appliance load capacity of the user k in the t time period is G, the set of all necessary appliances is G, and the set of all non-necessary appliances is F.
8. The distributed energy storage control system for user-side power consumption management according to claim 7, wherein the integrated revenue of power consumption management is:
Bs(t)＝C(k，t)+V(k，t)
C(k，t)＝R×P(k，t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
V(k，t)＝P(k，t)×[SOCt+1-SOCt]×Smax×[ρg(t+1)-ρg(t)]
wherein, Bs(t)For comprehensive profit of power management in t time period, C(k，t)For cost reduction mode revenue, V, for user k during time period t(k，t)The value added mode gain of the user k in the time period t, R is the comprehensive power utilization comfort level and SOC of the usert+1Is the state of charge, SOC, of the energy storage device in the t +1 time periodtIs the state of charge of the energy storage device during the time period t, SmaxRated capacity of the energy storage device, ρg(t+1)Is the power grid electricity price, rho, in the t +1 time periodg(t)And the power grid electricity price in the time period t is obtained.
9. The distributed energy storage control system for customer-side power management according to claim 8, wherein the electricity fee expenditure model for customer-side power management is:
Figure FDA0002749682530000031
wherein, CkAnd (4) the power consumption expenditure of the user K in the time period T, T is the total time of model metering, and K is the total number of users in the region.
10. The distributed energy storage control system for customer-side power consumption management according to claim 6, wherein the constraints of the electricity fee expenditure model comprise customer power consumption comfort, energy storage state of charge, and energy storage charging and discharging price constraints.
CN202011200441.8A 2020-10-29 2020-10-29 Distributed energy storage control method and system for user side power utilization management Pending CN112381367A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114386702A (en) * 2022-01-14 2022-04-22 国网浙江省电力有限公司 Optimization method and system for intermittent production process to participate in power demand response

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114386702A (en) * 2022-01-14 2022-04-22 国网浙江省电力有限公司 Optimization method and system for intermittent production process to participate in power demand response

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