CN111478373B - Active control method and system for new energy in consideration of medium-long-term transaction and real-time replacement - Google Patents

Active control method and system for new energy in consideration of medium-long-term transaction and real-time replacement Download PDF

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CN111478373B
CN111478373B CN202010349902.1A CN202010349902A CN111478373B CN 111478373 B CN111478373 B CN 111478373B CN 202010349902 A CN202010349902 A CN 202010349902A CN 111478373 B CN111478373 B CN 111478373B
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汪马翔
刘韶峰
常康
周强
李吉晨
张昊天
陈堂龙
扈卫卫
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State Grid Corp of China SGCC
State Grid Gansu Electric Power Co Ltd
NARI Group Corp
Nari Technology Co Ltd
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State Grid Gansu Electric Power Co Ltd
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Abstract

The invention discloses a new energy active control method and system considering medium and long-term transaction and real-time replacement, and belongs to the technical field of operation and control of power systems. The present invention adopts a staged optimization strategy. In the first stage, a replacement transaction is not considered, the sum of products of active instructions of new energy stations participating in active control optimization decision and active instructions of other conventional units and medium-long term remaining electric quantity progress is taken as an optimization target, and an active instruction optimization solution reflecting medium-long term market remaining progress is obtained; when the second stage is used for solving, the optimized solution of the previous stage is respectively used as the instruction lower limit of the clean energy station participating in the replacement transaction and the instruction upper limit of the conventional unit, the instruction lower limit of the conventional unit is adjusted under consideration of the real-time replacement space, the maximum product of the active instruction of the power generation station participating in the replacement transaction and the replacement electric quantity execution rate is the optimized target, and finally the active instruction comprehensively considering the medium-and-long-term transaction and the real-time replacement is obtained.

Description

Active control method and system for new energy in consideration of medium-long-term transaction and real-time replacement
Technical Field
The invention belongs to the technical field of operation and control of power systems, and particularly relates to a new energy active control method and system considering medium and long-term transaction and real-time replacement.
Background
At present, with the deepening of the structure and the system of the electric power market in recent years, replacement trading becomes an important way for promoting new energy consumption in various places. Although the new energy participating in the medium and long term electricity trading already has a corresponding electricity trading mechanism and a regulation and control principle under a long time scale, a corresponding processing strategy is lacked, and the coordination of various regulation and control requirements such as temporary replacement trading and medium and long term trading is not well realized. The two electric quantity components of the medium-and-long-term output plan and the temporary replacement transaction are coordinated, so that the balance of the electric power market is facilitated, and the new energy consumption level is improved.
With the rapid development of new energy, the construction of an electric power market system is deepened continuously, when extra-high voltage transaction is considered, the regulation and control object of a conventional new energy active control method is generally medium-long term electric power transaction, for the occurrence of temporary spot goods electric quantity application, an application number (201810245441.6) of an active real-time control method for taking medium-long term transaction and temporary spot goods transaction constraints into account provides that transaction electric quantity execution indexes of each power plant are counted in real time, grid-connected active power of each power plant is controlled in real time according to the transaction electric quantity execution indexes, and then fair index distribution is carried out on each power plant to complete the electric quantity of a transaction plan to the maximum extent. However, this patent does not consider the problem of the coordination control between the provisional replacement trade application and the medium-and-long-term plan, and the supply-demand balance control for the electric power market is not fine enough.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a new energy active control method and system considering medium and long-term trading and real-time replacement, and solves the technical problem of how to coordinate medium and long-term market trading and real-time replacement trading.
In order to solve the technical problem, the invention provides a new energy active control method considering medium and long-term transaction and real-time replacement, which comprises the following processes:
acquiring parameter data of each new energy station and each conventional power generation station in the power generation stations;
according to parameter data of each new energy station and each conventional power generation station, calculating to obtain active instructions of each new energy station and each conventional power generation station after the first-stage optimization by combining a first-stage new energy active control optimization model without considering real-time replacement transaction;
acquiring each new energy station and each conventional power generation station participating in real-time replacement transaction; if the limited new energy stations and the conventional power generation stations with replacement capability exist; then:
calculating to obtain the active instructions of the new energy stations participating in the real-time replacement transaction and the active instructions of the conventional power generation stations after the second stage optimization according to the parameter data of the new energy stations and the conventional power generation stations and the active instructions of the new energy stations and the conventional power generation stations after the first stage optimization and in combination with a second stage new energy active control optimization model considering the real-time replacement transaction;
each new energy station and each conventional power generation station participating in the real-time replacement transaction are executed according to the active instruction after the second-stage optimization, and the difference value between the active instruction after the second-stage optimization and the active instruction after the first-stage optimization is used as replacement electric quantity to perform the replacement transaction; and executing all other new energy stations and all conventional power generation stations which do not participate in the real-time replacement transaction according to the active instruction optimized in the first stage so as to realize active control of the new energy in consideration of medium-long-term transaction and real-time replacement.
Further, the first-stage new energy active control optimization model includes:
the optimization objective is described as the maximum product of the new energy active instruction and the medium-long term electric quantity remaining progress:
Figure BDA0002471585080000031
wherein alpha isn.iFor the medium-long term electricity quantity residual progress of the new energy station i in consideration of the time residual progress, the set of the new energy station is recorded as C, and the set of the conventional units is recorded as H, P'n.i、P′ n.i 、
Figure BDA0002471585080000032
Is t0Active power instruction, instruction lower limit and instruction upper limit of new energy station i at any moment, Pht.i、P′ht.i、 ht.iP、
Figure BDA0002471585080000033
And a is t0The active power, the active instruction, the instruction lower limit, the instruction upper limit and the active regulation rate of the conventional unit i are obtained at all times; delta t is a set active real-time control period; t is the number of external power transmission channels of the power grid, P't.iIs (t)0+ delta t) the planned value of active power of the external power transmission channel i is positive when being injected into the power grid; b is t0The grid loss coefficient of the power grid at the moment, L is the load number in the power grid, P'l.iIs (t)0+ delta t) the active power predicted value of the load i at the moment; ptl.s、Ptl.s.maxIs t0Monitoring the active power flow and the quota of the channel s at any time; s0.s.i～S3.s.iAre each t0The online active sensitivity of the power generation station i, the external power transmission channel i and the load i to the monitoring channel s at the moment C, H; pn.i、Pht.i、Pt.i、Pl.iAre each t0Grid-connected active power of a power generation station i, an external power transmission channel i and a load i at a moment C, H; j is the number of sections to be monitored safely and stably. Pi.max、Pi.minRespectively representing the maximum value and the minimum value of the grid-connected active power of a power plant i in the H; ppre.iIs (t)0+ delta t) the active power predicted value of the new energy power station i at the moment C; c. C1、c2Positive and negative standby coefficients set according to a power grid dispatching operation control regulation; d is a proportion coefficient of the set new energy power station in the aspect of active power and standby power; mu is a set active standby constraint relaxation parameter; ρ is a setting parameter.
Further, the calculation formula of the medium and long term electric quantity remaining progress is as follows:
Figure BDA0002471585080000041
wherein E ist.iThe target electric quantity is the medium-long term target electric quantity of the new energy station i; ef.iIs the middle-long term residual electric quantity, T, of the new energy station ii、Tc.iAnd executing the execution time for the execution period and the residual electric quantity of the medium-long term target electric quantity.
Further, the second stage new energy active control optimization model includes:
the optimization target is that the product of the active instruction of the new energy station participating in real-time replacement and the residual displacement electric quantity progress is maximum:
Figure BDA0002471585080000042
wherein, betan.iRecording a new energy station set C participating in replacement transaction for the replacement electric quantity residual progress of the new energy station izAnd the conventional machine set participating in the replacement transaction is marked as Hz，P′n.i.1、P′ht.i.1Respectively optimizing solutions of a new energy station i and a conventional unit i in the first stage,P′ ht.i is a conventional machineGroup i considers the lower bound of instructions after the permutation space.
Further, the calculation formula of the replacement electric quantity remaining progress is as follows:
Figure BDA0002471585080000051
wherein E isz.t.iReplacing the electric quantity for the target of the new energy station i; ez.f.iFor the remaining replacement of the electrical energy, T, of the new energy station iz.i、Tz.c.iTarget execution cycles and remaining execution times for the replacement of power.
Correspondingly, the invention also provides a new energy active control system considering medium and long term trading and real-time replacement, which comprises a parameter data acquisition module, a first-stage optimization module, a replacement trading parameter acquisition module, a second-stage optimization module and an active control execution module, wherein:
the parameter data acquisition module is used for acquiring parameter data of each new energy station and each conventional power generation station in the power generation stations;
the first-stage optimization module is used for calculating active instructions of all new energy stations and all conventional power generation stations after the first-stage optimization according to parameter data of all new energy stations and all conventional power generation stations and a first-stage active control optimization model without considering real-time replacement transaction;
the replacement transaction parameter acquisition module is used for acquiring each new energy station and each conventional power generation station participating in real-time replacement transaction; if the limited new energy stations and the conventional power generation stations with replacement capability exist; executing a second stage optimization module:
the second-stage optimization module is used for calculating and obtaining the active instructions of the new energy stations and the active instructions of the conventional power generation stations after the second-stage optimization and participating in the real-time replacement transaction according to the parameter data of the new energy stations and the conventional power generation stations and the active instructions of the new energy stations and the conventional power generation stations after the first-stage optimization and by combining a second-stage active control optimization model considering the real-time replacement transaction;
the active control execution module is used for executing each new energy station and each conventional power generation station participating in the real-time replacement transaction according to the active instruction after the second-stage optimization, and performing the replacement transaction by taking the difference value between the active instruction after the second-stage optimization and the active instruction after the first-stage optimization as the replacement electric quantity; and executing all other new energy stations and all conventional power generation stations which do not participate in the real-time replacement transaction according to the active instruction optimized in the first stage so as to realize active control of the new energy in consideration of medium-long-term transaction and real-time replacement.
Further, in the first-stage optimization module, the first-stage new energy active control optimization model includes:
the optimization objective is described as the maximum product of the new energy active instruction and the medium-long term electric quantity remaining progress:
Figure BDA0002471585080000061
wherein alpha isn.iFor the medium-long term electricity quantity residual progress of the new energy station i in consideration of the time residual progress, the set of the new energy station is recorded as C, and the set of the conventional units is recorded as H, P'n.i、P′ n.i 、
Figure BDA0002471585080000062
Is t0Active power instruction, instruction lower limit and instruction upper limit of new energy station i at any moment, Pht.i、P′ht.i、 ht.iP、
Figure BDA0002471585080000063
And a is t0The active power, the active instruction, the instruction lower limit, the instruction upper limit and the active regulation rate of the conventional unit i are obtained at all times; delta t is a set active real-time control period; t is the number of external power transmission channels of the power grid, P't.iIs (t)0+ delta t) the planned value of active power of the external power transmission channel i is positive when being injected into the power grid; b is t0The grid loss coefficient of the power grid at the moment, L is the load number in the power grid, P'l.iIs (t)0+ delta t) the active power predicted value of the load i at the moment; ptl.s、Ptl.s.maxIs t0Monitoring the active power flow and the quota of the channel s at any time; s0.s.i～S3.s.iAre each t0The online active sensitivity of the power generation station i, the external power transmission channel i and the load i to the monitoring channel s at the moment C, H; pn.i、Pht.i、Pt.i、Pl.iAre each t0Grid-connected active power of a power generation station i, an external power transmission channel i and a load i at a moment C, H; j is the number of sections to be monitored safely and stably. Pi.max、Pi.minRespectively representing the maximum value and the minimum value of the grid-connected active power of a power plant i in the H; ppre.iIs (t)0+ delta t) the active power predicted value of the new energy power station i at the moment C; c. C1、c2Positive and negative standby coefficients set according to a power grid dispatching operation control regulation; d is a proportion coefficient of the set new energy power station in the aspect of active power and standby power; mu is a set active standby constraint relaxation parameter; ρ is a setting parameter.
Further, in the first-stage optimization module, the calculation formula of the medium-and-long-term remaining capacity progress is as follows:
Figure BDA0002471585080000071
wherein E ist.iThe target electric quantity is the medium-long term target electric quantity of the new energy station i; ef.iIs the middle-long term residual electric quantity, T, of the new energy station ii、Tc.iAnd executing the execution time for the execution period and the residual electric quantity of the medium-long term target electric quantity.
Further, in the second-stage optimization module, the second-stage new energy active control optimization model includes:
the optimization target is that the product of the active instruction of the new energy station participating in real-time replacement and the residual displacement electric quantity progress is maximum:
Figure BDA0002471585080000081
wherein, the set of new energy stations participating in the replacement transaction is marked as CzAnd the conventional machine set participating in the replacement transaction is marked as Hz，βn.iReplacing electric quantity residual progress, P 'for new energy station i'n.i.1、P′ht.i.1Respectively optimizing solutions of a new energy station i and a conventional unit i in the first stage,P′ ht.i and considering the lower limit of the command after the space is replaced for the conventional unit i.
Further, in the second-stage optimization module, the calculation formula of the replacement electric quantity remaining progress is as follows:
Figure BDA0002471585080000082
wherein E isz.t.iReplacing the electric quantity for the target of the new energy station i; ez.f.iFor the remaining replacement of the electrical energy, T, of the new energy station iz.i、Tz.c.iTarget execution cycles and remaining execution times for the replacement of power.
Compared with the prior art, the invention has the following beneficial effects: and aiming at the limited new energy station participating in replacement, the upper limit and the lower limit of the active instruction of the new energy station are further adjusted, and the lower limit of the conventional power generation station participating in replacement is synchronously adjusted downwards, so that the power generation space of the conventional power generation station is replaced for the new energy station.
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FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The invention has the following inventive concept: when real-time replacement transaction is not considered, the optimization model of the new energy station grid-connected active power control achieves the purpose of maximum consumption of new energy output under the condition that requirements such as power grid safety and stability, peak regulation constraint, power plant plan, transmission channel constraint and the like are considered, and the requirement of medium-term and long-term electric quantity execution is considered. If real-time replacement transaction needs to be considered, calculating an active instruction of the new energy station into two stages, wherein the first stage is instruction calculation for considering medium and long term electric quantity remaining progress of the station; and in the second stage, aiming at the limited new energy station participating in replacement, the lower limit of the instruction of the conventional unit participating in replacement is adjusted downwards, the absorption space is released, and on the basis of the optimized solution in the first stage, the active instruction of the limited new energy station is further promoted to obtain the final active output instruction of the new energy station.
Aiming at the grid connection of the new energy station comprising medium and long term electric quantity transaction and real-time electric power replacement transaction, the power generation station comprises the new energy station and a conventional power generation station, and the conventional power generation station utilizes a conventional machine set to generate power. If the active power flow of a set of a plurality of power transmission devices is larger than a certain threshold value, the power grid has potential safety and stability risks, and therefore the real-time active power flow of the set of the power transmission devices needs to be monitored, which is called a monitoring channel for short. Acquiring parameter data of each new energy station and each conventional power generation station in the power generation stations, wherein the parameter data comprises an active instruction range of the new energy station and an active instruction range of the conventional power generation station; the active power balance constraint of the power grid, the active quota constraint of the monitoring channel, the positive standby constraint of the power grid, the negative standby constraint of the power grid, and the like, which are not listed herein.
The invention relates to a new energy active control method considering medium and long term transaction and real-time replacement, which is specifically shown in figure 1 and comprises the following steps:
step 1: will t0Recording a set of new energy stations participating in active power optimization control at all times as C, and recording a set of conventional units as H; considering no power replacement transaction, taking the maximum sum of products of an active instruction of the new energy station participating in the active control optimization decision and the medium and long-term electric quantity residual progress (as shown in formula (1)) as an optimization target, and considering the active control space of the power generation station, the active balance of the power grid, the active limit of the monitoring channel and the active reserve limit constraint (such as power replacement trade) according to the active sensitivity of the power generation station, the load and the active of the external tie line to the monitoring channelEquation (2)), obtaining an active instruction optimization solution of the new energy station reflecting the medium and long term electric quantity remaining progress;
the calculation formula of the medium and long term electricity residual progress of the new energy station is as follows:
Figure BDA0002471585080000101
wherein E ist.iThe target electric quantity is the medium-long term target electric quantity of the new energy station i; ef.iIs the middle-long term residual electric quantity, T, of the new energy station ii、Tc.iFor the execution period and the residual capacity execution time, alpha, of the medium-and long-term target capacityn.iNamely, the middle-long term electricity residual progress considering the time residual progress is larger, the reflected middle-long term electricity execution progress is slower, and the subscript n represents new energy.
The medium-and-long-term electricity residual progress represents the execution rate of the medium-and-long-term electricity, the numerator is the proportion of the residual electricity to the total electricity, the denominator is the proportion of the residual time to the total execution time, and the ratio of two dimensionless numerical values reflects the execution progress of the medium-and-long-term electricity. The larger the numerator is, the more the representative residual capacity is, the smaller the denominator is, the smaller the representative residual time is, the larger the proportion of the two is, the slower the reflection progress is, and therefore, more power generation space needs to be allocated.
The optimization objective of the first-stage new energy active control optimization model is described as that the product of the new energy active instruction and the medium-long term electric quantity remaining progress is maximum:
Figure BDA0002471585080000111
wherein, P'n.i、P′ n.i 、
Figure BDA0002471585080000112
Is t0Active power instruction, instruction lower limit and instruction upper limit of new energy station i at any moment, Pht.i、P′ht.i、 ht.iP、
Figure BDA0002471585080000113
And a is t0The active power, the active instruction, the instruction lower limit, the instruction upper limit and the active regulation rate of the conventional unit i are obtained at all times; delta t is a set active real-time control period; t is the number of external power transmission channels of the power grid, P't.iIs (t)0+ delta t) the planned value of active power of the external power transmission channel i is positive when being injected into the power grid; b is t0The grid loss coefficient of the power grid at the moment, L is the load number in the power grid, P'l.iIs (t)0+ delta t) the active power predicted value of the load i at the moment; ptl.s、Ptl.s.maxIs t0Monitoring the active power flow and the quota of the channel s at any time; s0.s.i～S3.s.iAre each t0The online active sensitivity of the power generation station i, the external power transmission channel i and the load i to the monitoring channel s at the moment C, H; pn.i、Pht.i、Pt.i、Pl.iAre each t0Grid-connected active power of a power generation station i, an external power transmission channel i and a load i at a moment C, H; j is the number of sections to be monitored safely and stably. Pi.max、Pi.minRespectively representing the maximum value and the minimum value of the grid-connected active power of a power plant i in the H; ppre.iIs (t)0+ delta t) the active power predicted value of the new energy power station i at the moment C; c. C1、c2Positive and negative standby coefficients set according to a power grid dispatching operation control regulation; d is a proportion coefficient of the set new energy power station in the aspect of active power and standby power; mu is a set active standby constraint relaxation parameter; rho is a set parameter;
the meaning of the objective function is: the product of the active instruction of the new energy and the residual schedule of the medium-long term electric quantity is the largest,
constraint conditions are as follows: the first constraint condition expresses the range of the active command of the new energy station; the second constraint expresses the range in which the active command of the conventional power station should be; the third constraint bar expresses the range in which the active command of the conventional power station should be based on the regulation rate; the fourth constraint condition expresses the active power balance constraint of the power grid; the fifth constraint condition expresses the active limit constraint of the monitoring channel; the sixth constraint condition expresses a positive standby constraint of the power grid; the seventh constraint expresses a grid negative backup constraint.
And solving the optimization target based on a planning algorithm, wherein the first-stage optimization result obtained by the solving is the active instruction of each new energy station and the active instruction of the conventional power generation station after matched adjustment.
Step 2: will t0The set of new energy stations participating in replacement transaction at any moment is recorded as CzAnd the conventional machine set participating in the replacement transaction is marked as HzIf C iszIn the new energy station, H, with a super-short term forecast (upper limit of active output of the new energy station) greater than the first-stage optimization solution (active command of the new energy station)zIf the conventional unit with the replacement capability exists, the step 3 is carried out; otherwise, directly entering the step 4;
and step 3: c is to bezThe optimal solution of the first stage is used as the lower limit of the active instruction, HzThe conventional unit in (1) takes the optimization solution of the first stage as the upper limit of the instruction, and further considers real-time displacement down-regulation space (P′ ht.i ) Modify its lower command limit by CzThe product of the active instruction of the new energy station and the residual displacement power progress (such as a formula (3)) is the maximum optimization target, the new energy station which does not participate in the displacement in the step C and the conventional unit which does not participate in the displacement in the step H both use the first-stage optimization solution as a constant substitution constraint equation,
the remaining displacement power progress calculation formula is as follows:
Figure BDA0002471585080000121
wherein E isz.t.iReplacing the electric quantity for the target of the new energy station i; ez.f.iFor the remaining replacement of the electrical energy, T, of the new energy station iz.i、Tz.c.iPerforming target execution cycles and residual execution times for the replacement electric quantity;
the second stage active control optimization model of the new energy is as follows:
Figure BDA0002471585080000131
wherein, P'n.i.1、P′ht.i.1Respectively optimizing solutions of a new energy station i and a conventional unit i in the first stage,P′ ht.i considering the lower limit of the instruction after the space is replaced for the conventional unit i;
the meaning of the objective function is: and the product of the active instruction of the new energy station participating in the real-time replacement and the residual displacement capacity progress is the largest.
Constraint conditions are as follows: the first constraint condition expresses that the new energy station does not participate in replacement, and the active instruction of the second stage is the optimized solution of the first stage; the second constraint condition is that the active instructions of the new energy station participating in replacement take the first-stage optimization solution as a lower limit; the third constraint condition expresses that the conventional power station does not participate in replacement, and the active instruction of the second stage is the optimized solution of the first stage; the specific meanings of the following constraints are the same as above (see the description of formula (2) for details).
And (4) solving the optimization target by planning, wherein the second-stage optimization result obtained by solving is the active instruction of the new energy station and the active instruction of the conventional power generation station which is adjusted in a matching way, wherein real-time replacement and transaction are finally considered.
I.e. by solving the optimization model (e.g. equation (4)), C is obtainedzMiddle and new energy station and HzAnd optimizing the solution of the conventional unit instructions.
Then separately count CzNew energy station, HzAnd taking the difference value of the active instruction of the conventional unit and the first-stage optimized solution as the replacement electric quantity to participate in real-time replacement transaction.
And 4, step 4: and issuing and executing the calculated active instructions of the new energy station and the conventional unit.
And when the replacement transaction is not considered, executing each new energy station and each conventional power generation station according to the active instruction optimized in the first stage so as to realize the active control of the new energy.
When replacement transaction is considered, each new energy station and each conventional power generation station participating in the real-time replacement transaction are executed according to the active instruction after the second-stage optimization, and the difference value between the active instruction after the second-stage optimization and the active instruction after the first-stage optimization is used as replacement electric quantity to carry out the replacement transaction; and executing all other new energy stations and all conventional power generation stations which do not participate in the real-time replacement transaction according to the active instruction optimized in the first stage so as to realize active control of the new energy in consideration of medium-long-term transaction and real-time replacement.
According to the calculation process, in the first stage, the replacement is not considered, only the medium-term and long-term transactions are considered, the lower limit of the active instruction of the conventional power generation station participating in the replacement is higher than that in the second stage, some new energy stations are possibly limited (if the optimization solution in the first stage is less than the prediction, the limitation is determined), and if the optimization solution in the second stage does not exist, the limitation problem cannot be solved; and through the second stage, aiming at the limited new energy station participating in replacement, the upper limit and the lower limit of the active instruction of the new energy station are further adjusted, and the lower limit of the conventional power generation station participating in replacement is synchronously adjusted downwards, so that the power generation space of the conventional power generation station is replaced for the new energy station.
According to the invention, the distribution of the replacement space in the limited new energy station can be optimally adjusted by introducing the replacement electric quantity remaining progress into the objective function.
Correspondingly, the invention also provides a new energy active control system considering medium and long term trading and real-time replacement, which comprises a parameter data acquisition module, a first-stage optimization module, a replacement trading parameter acquisition module, a second-stage optimization module and an active control execution module, wherein:
the parameter data acquisition module is used for acquiring parameter data of each new energy station and each conventional power generation station in the power generation stations;
the first-stage optimization module is used for calculating active instructions of all new energy stations and all conventional power generation stations after the first-stage optimization according to parameter data of all new energy stations and all conventional power generation stations and a first-stage active control optimization model without considering real-time replacement transaction;
the replacement transaction parameter acquisition module is used for acquiring each new energy station and each conventional power generation station participating in real-time replacement transaction; if the limited new energy stations and the conventional power generation stations with replacement capability exist; executing a second stage optimization module:
the second-stage optimization module is used for calculating and obtaining the active instructions of the new energy stations and the active instructions of the conventional power generation stations after the second-stage optimization and participating in the real-time replacement transaction according to the parameter data of the new energy stations and the conventional power generation stations and the active instructions of the new energy stations and the conventional power generation stations after the first-stage optimization and by combining a second-stage active control optimization model considering the real-time replacement transaction;
the active control execution module is used for executing each new energy station and each conventional power generation station participating in the real-time replacement transaction according to the active instruction after the second-stage optimization, and performing the replacement transaction by taking the difference value between the active instruction after the second-stage optimization and the active instruction after the first-stage optimization as the replacement electric quantity; and executing all other new energy stations and all conventional power generation stations which do not participate in the real-time replacement transaction according to the active instruction optimized in the first stage so as to realize active control of the new energy in consideration of medium-long-term transaction and real-time replacement.
Further, in the first-stage optimization module, the first-stage new energy active control optimization model includes:
the optimization objective is described as the maximum product of the new energy active instruction and the medium-long term electric quantity remaining progress:
Figure BDA0002471585080000161
wherein alpha isn.iFor the medium-long term electricity quantity residual progress of the new energy station i in consideration of the time residual progress, the set of the new energy station is recorded as C, and the set of the conventional units is recorded as H, P'n.i、P′ n.i 、
Figure BDA0002471585080000162
Is t0Active power instruction, instruction lower limit and instruction upper limit of new energy station i at any moment, Pht.i、P′ht.i、 ht.iP、
Figure BDA0002471585080000163
And a is t0The active power, the active instruction, the instruction lower limit, the instruction upper limit and the active regulation rate of the conventional unit i are obtained at all times; delta t is a set active real-time control period; t is the number of external power transmission channels of the power grid, P't.iIs (t)0+ delta t) the planned value of active power of the external power transmission channel i is positive when being injected into the power grid; b is t0The grid loss coefficient of the power grid at the moment, L is the load number in the power grid, P'l.iIs (t)0+ delta t) the active power predicted value of the load i at the moment; ptl.s、Ptl.s.maxIs t0Monitoring the active power flow and the quota of the channel s at any time; s0.s.i～S3.s.iAre each t0The online active sensitivity of the power generation station i, the external power transmission channel i and the load i to the monitoring channel s at the moment C, H; pn.i、Pht.i、Pt.i、Pl.iAre each t0Grid-connected active power of a power generation station i, an external power transmission channel i and a load i at a moment C, H; j is the number of sections to be monitored safely and stably. Pi.max、Pi.minRespectively representing the maximum value and the minimum value of the grid-connected active power of a power plant i in the H; ppre.iIs (t)0+ delta t) the active power predicted value of the new energy power station i at the moment C; c. C1、c2Positive and negative standby coefficients set according to a power grid dispatching operation control regulation; d is a proportion coefficient of the set new energy power station in the aspect of active power and standby power; mu is a set active standby constraint relaxation parameter; ρ is a setting parameter.
Further, in the first-stage optimization module, the calculation formula of the medium-and-long-term remaining capacity progress is as follows:
Figure BDA0002471585080000171
wherein E ist.iThe target electric quantity is the medium-long term target electric quantity of the new energy station i; ef.iIs the middle-long term residual electric quantity, T, of the new energy station ii、Tc.iAnd executing the execution time for the execution period and the residual electric quantity of the medium-long term target electric quantity.
Further, in the second-stage optimization module, the second-stage new energy active control optimization model includes:
the optimization target is that the product of the active instruction of the new energy station participating in real-time replacement and the residual displacement electric quantity progress is maximum:
Figure BDA0002471585080000172
wherein, the set of new energy stations participating in the replacement transaction is marked as CzAnd the conventional machine set participating in the replacement transaction is marked as Hz，βn.iReplacing electric quantity residual progress, P 'for new energy station i'n.i.1、P′ht.i.1Respectively optimizing solutions of a new energy station i and a conventional unit i in the first stage,P′ ht.i and considering the lower limit of the command after the space is replaced for the conventional unit i.
Further, in the second-stage optimization module, the calculation formula of the replacement electric quantity remaining progress is as follows:
Figure BDA0002471585080000181
wherein E isz.t.iReplacing the electric quantity for the target of the new energy station i; ez.f.iFor the remaining replacement of the electrical energy, T, of the new energy station iz.i、Tz.c.iTarget execution cycles and remaining execution times for the replacement of power.
The invention adopts a staged optimization strategy aiming at the grid-connected active control of the clean energy station comprising medium and long-term electric quantity transaction and real-time electric power replacement transaction. In the first stage, a replacement transaction is not considered, the sum of products of active instructions of new energy stations participating in active control optimization decision and active instructions of other conventional units and medium-long term electric quantity remaining progress is taken as an optimization target, and an active instruction optimization solution reflecting the medium-long term electric quantity remaining progress is obtained; when the second stage is used for solving, the optimized solution of the previous stage is respectively used as the instruction lower limit of the clean energy station participating in the replacement transaction and the instruction upper limit of the conventional unit, the instruction lower limit of the conventional unit is adjusted under consideration of the real-time replacement space, the maximum product of the active instruction of the power generation station participating in the replacement transaction and the replacement electric quantity residual progress is the optimized target, and finally the active instruction comprehensively considering the medium-and-long-term transaction and the real-time replacement is obtained.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (6)

1. The active control method of the new energy considering medium and long-term transaction and real-time replacement is characterized by comprising the following processes:
acquiring parameter data of each new energy station and each conventional power generation station in the power generation stations;
according to parameter data of each new energy station and each conventional power generation station, calculating to obtain active instructions of each new energy station and each conventional power generation station after the first-stage optimization by combining a first-stage new energy active control optimization model without considering real-time replacement transaction;
acquiring each new energy station and each conventional power generation station participating in real-time replacement transaction; if the limited new energy stations and the conventional power generation stations with replacement capability exist; then:
calculating to obtain the active instructions of the new energy stations participating in the real-time replacement transaction and the active instructions of the conventional power generation stations after the second stage optimization according to the parameter data of the new energy stations and the conventional power generation stations and the active instructions of the new energy stations and the conventional power generation stations after the first stage optimization and in combination with a second stage new energy active control optimization model considering the real-time replacement transaction;
each new energy station and each conventional power generation station participating in the real-time replacement transaction are executed according to the active instruction after the second-stage optimization, and the difference value between the active instruction after the second-stage optimization and the active instruction after the first-stage optimization is used as replacement electric quantity to perform the replacement transaction; executing other new energy stations and conventional power generation stations which do not participate in the real-time replacement transaction according to the active instruction optimized in the first stage so as to realize active control of the new energy in consideration of medium-long-term transaction and real-time replacement;
the first-stage new energy active control optimization model comprises the following steps:
the optimization objective is described as the maximum product of the new energy active instruction and the medium-long term electric quantity remaining progress:
Figure FDA0003043569850000021
wherein alpha isn.iFor the medium-long term electricity quantity residual progress of the new energy station i in consideration of the time residual progress, the set of the new energy station is recorded as C, and the set of the conventional units is recorded as H, P'n.i、
Figure FDA0003043569850000024
Is t0Active power instruction, instruction lower limit and instruction upper limit of new energy station i at any moment, Pht.i、P′ht.i、
Figure FDA0003043569850000025
And a is t0The active power, the active instruction, the instruction lower limit, the instruction upper limit and the active regulation rate of the conventional unit i are obtained at all times; delta t is a set active real-time control period; t is the number of external power transmission channels of the power grid, P't.iIs (t)0+ delta t) the planned value of active power of the external power transmission channel i is positive when being injected into the power grid; b is t0The grid loss coefficient of the power grid at the moment, L is the load number in the power grid, P'l.iIs (t)0+ delta t) the active power predicted value of the load i at the moment; ptl.s、Ptl.s.maxIs t0Monitoring the active power flow and the quota of the channel s at any time; s0.s.i～S3.s.iAre each t0The online active sensitivity of the power generation station i, the external power transmission channel i and the load i to the monitoring channel s at the moment C, H; pn.i、Pht.i、Pt.i、Pl.iAre each t0Grid-connected active power of a power generation station i, an external power transmission channel i and a load i at a moment C, H; j is the number of sections to be monitored safely and stably, Pi.max、Pi.minRespectively representing the maximum value and the minimum value of the grid-connected active power of a power plant i in the H; ppre.iIs (t)0+ delta t) the active power predicted value of the new energy power station i at the moment C; c. C1、c2Positive and negative standby coefficients set according to a power grid dispatching operation control regulation; d is a proportion coefficient of the set new energy power station in the aspect of active power and standby power; mu is a set active standby constraint relaxation parameter; rho is a set parameter;
the second stage new energy active control optimization model comprises the following steps:
the optimization target is that the product of the active instruction of the new energy station participating in real-time replacement and the residual displacement electric quantity progress is maximum:
Figure FDA0003043569850000031
wherein, betan.iRecording a new energy station set C participating in replacement transaction for the replacement electric quantity residual progress of the new energy station izAnd the conventional machine set participating in the replacement transaction is marked as Hz，P′n.i.1、P′ht.i.1Respectively optimizing solutions of a new energy station i and a conventional unit i in the first stage,
Figure FDA0003043569850000032
and considering the lower limit of the command after the space is replaced for the conventional unit i.
2. The active control method of new energy in consideration of medium and long term trading and real-time replacement as claimed in claim 1, wherein the calculation formula of the medium and long term electricity remaining progress is as follows:
Figure FDA0003043569850000041
wherein E ist.iThe target electric quantity is the medium-long term target electric quantity of the new energy station i; ef.iIs the middle-long term residual electric quantity, T, of the new energy station ii、Tc.iAnd executing the execution time for the execution period and the residual electric quantity of the medium-long term target electric quantity.
3. The active control method of new energy in consideration of medium and long term transaction and real-time replacement as claimed in claim 1, wherein the calculation formula of the remaining replacement power progress is as follows:
Figure FDA0003043569850000042
wherein E isz.t.iReplacing the electric quantity for the target of the new energy station i; ez.f.iFor the remaining replacement of the electrical energy, T, of the new energy station iz.i、Tz.c.iTarget execution cycles and remaining execution times for the replacement of power.
4. The active control system of the new energy in consideration of medium and long-term transaction and real-time replacement is characterized by comprising a parameter data acquisition module, a first-stage optimization module, a replacement transaction parameter acquisition module, a second-stage optimization module and an active control execution module, wherein:
the parameter data acquisition module is used for acquiring parameter data of each new energy station and each conventional power generation station in the power generation stations;
the first-stage optimization module is used for calculating active instructions of all new energy stations and all conventional power generation stations after the first-stage optimization according to parameter data of all new energy stations and all conventional power generation stations and a first-stage active control optimization model without considering real-time replacement transaction;
the replacement transaction parameter acquisition module is used for acquiring each new energy station and each conventional power generation station participating in real-time replacement transaction; if the limited new energy stations and the conventional power generation stations with replacement capability exist; executing a second stage optimization module:
the second-stage optimization module is used for calculating and obtaining the active instructions of the new energy stations and the active instructions of the conventional power generation stations after the second-stage optimization and participating in the real-time replacement transaction according to the parameter data of the new energy stations and the conventional power generation stations and the active instructions of the new energy stations and the conventional power generation stations after the first-stage optimization and by combining a second-stage active control optimization model considering the real-time replacement transaction;
the active control execution module is used for executing each new energy station and each conventional power generation station participating in the real-time replacement transaction according to the active instruction after the second-stage optimization, and performing the replacement transaction by taking the difference value between the active instruction after the second-stage optimization and the active instruction after the first-stage optimization as the replacement electric quantity; executing other new energy stations and conventional power generation stations which do not participate in the real-time replacement transaction according to the active instruction optimized in the first stage so as to realize active control of the new energy in consideration of medium-long-term transaction and real-time replacement;
in the first-stage optimization module, the first-stage new energy active control optimization model includes:
the optimization objective is described as the maximum product of the new energy active instruction and the medium-long term electric quantity remaining progress:
Figure FDA0003043569850000051
wherein alpha isn.iFor the medium-long term electricity quantity residual progress of the new energy station i in consideration of the time residual progress, the set of the new energy station is recorded as C, and the set of the conventional units is recorded as H, P'n.i、
Figure FDA0003043569850000052
Is t0Active power instruction, instruction lower limit and instruction upper limit of new energy station i at any moment, Pht.i、P′ht.i、
Figure FDA0003043569850000061
And a is t0The active power, the active instruction, the instruction lower limit, the instruction upper limit and the active regulation rate of the conventional unit i are obtained at all times; delta t is a set active real-time control period; t is the number of external power transmission channels of the power grid, P't.iIs (t)0+ delta t) the planned value of active power of the external power transmission channel i is positive when being injected into the power grid; b is t0The grid loss coefficient of the power grid at the moment, L is the load number in the power grid, P'l.iIs (t)0+ delta t) the active power predicted value of the load i at the moment; ptl.s、Ptl.s.maxIs t0Monitoring the active power flow and the quota of the channel s at any time; s0.s.i～S3.s.iAre each t0The online active sensitivity of the power generation station i, the external power transmission channel i and the load i to the monitoring channel s at the moment C, H; pn.i、Pht.i、Pt.i、Pl.iAre each t0Grid-connected active power of a power generation station i, an external power transmission channel i and a load i at a moment C, H; j is the number of sections to be monitored safely and stably, Pi.max、Pi.minRespectively representing the maximum value and the minimum value of the grid-connected active power of a power plant i in the H; ppre.iIs (t)0+ delta t) the active power predicted value of the new energy power station i at the moment C; c. C1、c2Positive and negative standby coefficients set according to a power grid dispatching operation control regulation; d is a proportion coefficient of the set new energy power station in the aspect of active power and standby power; mu is a set active standby constraint relaxation parameter; rho is a set parameter;
in the second-stage optimization module, the second-stage new energy active control optimization model includes:
the optimization target is that the product of the active instruction of the new energy station participating in real-time replacement and the residual displacement electric quantity progress is maximum:
Figure FDA0003043569850000071
wherein, the set of new energy stations participating in the replacement transaction is marked as CzAnd the conventional machine set participating in the replacement transaction is marked as Hz，βn.iIs the residual replacement electric quantity progress of the new energy station i, P'n.i.1、P′ht.i.1Respectively optimizing solutions of a new energy station i and a conventional unit i in the first stage,
Figure FDA0003043569850000073
and considering the lower limit of the command after the space is replaced for the conventional unit i.
5. The active control system of new energy in consideration of medium and long term trading and real-time replacement as claimed in claim 4, wherein in the first stage optimization module, the calculation formula of the medium and long term electricity remaining progress is as follows:
Figure FDA0003043569850000072
wherein E ist.iThe target electric quantity is the medium-long term target electric quantity of the new energy station i; ef.iIs the middle-long term residual electric quantity, T, of the new energy station ii、Tc.iAnd executing the execution time for the execution period and the residual electric quantity of the medium-long term target electric quantity.
6. The active control system of new energy in consideration of medium and long term transaction and real-time replacement as claimed in claim 4, wherein in the second stage optimization module, the calculation formula of the replacement electric quantity remaining progress is as follows:
Figure FDA0003043569850000081
wherein E isz.t.iReplacing the electric quantity for the target of the new energy station i; ez.f.iFor the remaining replacement of the electrical energy, T, of the new energy station iz.i、Tz.c.iTarget execution cycles and remaining execution times for the replacement of power.
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