CN115907365A - Peak-regulating resource optimal configuration method, system and device - Google Patents
Peak-regulating resource optimal configuration method, system and device Download PDFInfo
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- CN115907365A CN115907365A CN202211428981.0A CN202211428981A CN115907365A CN 115907365 A CN115907365 A CN 115907365A CN 202211428981 A CN202211428981 A CN 202211428981A CN 115907365 A CN115907365 A CN 115907365A
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Abstract
The invention discloses a peak regulation resource optimal allocation method, a system and a device, comprising S1, establishing an expected objective function of the total running cost of the system; s2, establishing constraint conditions of a system; and S3, solving the objective function according to the constraint condition to obtain a peak regulation resource optimization configuration scheme. The invention can realize peak regulation resource optimal allocation.
Description
Technical Field
The invention relates to the field of peak shaving resource optimal configuration, in particular to a peak shaving resource optimal configuration method, a peak shaving resource optimal configuration system and a peak shaving resource optimal configuration device.
Background
The new energy installation is influenced by rapid growth, and the peak regulation supply and demand of the power system integrally presents a situation of approaching to each other year. At the present stage, a 'hard' requirement is provided for developing new energy mainly comprising wind power and photovoltaic, the new energy is further accelerated in scale increase, and the contradiction between peak regulation demand continuous expansion and peak regulation resource increasing shortage is aggravated.
Disclosure of Invention
The invention aims to provide a method, a system and a device for peak shaving resource optimal configuration, and aims to solve the problem.
The invention provides a peak regulation resource optimal allocation method, which comprises the following steps,
s1, establishing an expected objective function of the total running cost of a system;
s2, establishing constraint conditions of the system;
and S3, solving the objective function according to the constraint conditions to obtain a peak regulation resource optimization configuration scheme.
The invention also provides a peak regulation resource optimal configuration system, which comprises:
a module is established: a desired objective function for establishing a total cost of operation of the system;
a constraint condition module: the constraint conditions are used for establishing a system;
a solving module: and the method is used for solving the objective function according to the constraint condition to obtain the peak shaving resource optimization configuration scheme.
The embodiment of the present invention further provides a device for peak shaving resource optimization configuration, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program implementing the steps of the above method when executed by the processor.
The embodiment of the invention also provides a computer readable storage medium, wherein an implementation program for information transmission is stored on the computer readable storage medium, and the implementation program realizes the steps of the method when being executed by a processor.
By adopting the embodiment of the invention, the peak shaving resources are optimally configured by solving the objective function.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more comprehensible.
Drawings
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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a peak shaving resource optimization configuration method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a peak shaver resource optimal configuration system according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a peak shaving resource optimal configuration apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are some, but not all, embodiments of the present invention. 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.
Method embodiment
According to an embodiment of the present invention, a peak shaving resource optimal configuration method is provided, and fig. 1 is a flowchart of the peak shaving resource optimal configuration method according to the embodiment of the present invention, as shown in fig. 1, specifically including:
s1, establishing an expected objective function of the total running cost of a system;
s2, establishing constraint conditions of the system;
and S3, solving the objective function according to the constraint conditions to obtain a peak regulation resource optimization configuration scheme.
The S1 specifically comprises:
and establishing a desired objective function of the total operation cost of the system, wherein the desired objective function comprises the new energy investment cost of the first stage, the peak shaving resource allocation cost and the total operation cost of the system desired to be operated in the second stage.
In the formula, K WI 、K SO Wind power and photovoltaic power generation investment costs are respectively; k CO 、K ST 、K PU Respectively reforming investment cost for coal-electricity flexibility, newly increasing electrochemical energy storage investment cost and newly increasing pumped storage investment cost;
the coal-electricity running cost under omega scene; />
The variable running cost of other types of power supplies under the omega scene comprises gas electricity, conventional water electricity, pumped storage, electrochemical energy storage and the like; p (ω) is the probability of the scene ω occurring.
In the formula, A CO 、A ST 、A PU Respectively obtaining unit capacity coal-electricity flexibility modification cost, electrochemical energy storage investment cost and pumped storage investment cost; o is CO 、O ST 、O PU Respectively changing the capacity of coal-electricity flexibility modification, the newly increased capacity of electrochemical energy storage and the newly increased capacity of pumped storage for decision variables; gamma is a reference yield; n is a radical of an alkyl radical CO 、n ST 、n PU And the years are respectively calculated for capital recovery of coal-electricity flexibility modification, newly-added electrochemical energy storage and newly-added pumping energy storage.
In the formula (I), the compound is shown in the specification,
the output of a coal power unit i at the moment of omega scene t is shown; a is a i 、b i 、c i The cost coefficient of the coal-electric machine set i is obtained; />
Starting cost of a coal power unit i under the moment t of the omega scene; />
Starting cost for starting the unit i; u shape ω,t,i And the starting and stopping state of the unit i in the period t is represented by 1, and the stopping state is represented by 0.
In the formula, P ω,t,j The output value of the unit j at the moment of omega scene t is shown; v. of j Is the variable running cost coefficient of the unit j.
The peak shaver resource allocation cost comprises: the coal-electricity flexible transformation cost, the newly-built pumped storage cost and the electrochemical energy storage cost.
S2 specifically comprises the following steps: establishing system constraints, wherein the constraints comprise: the method comprises the following steps of carbon budget constraint, power balance constraint, new energy utilization rate target constraint, coal electric machine set output upper and lower limit constraint, coal electric machine set continuous start and stop constraint, pumped storage and electrochemical energy storage related constraint.
System level constraints include carbon budget constraints, new energy utilization target constraints, power balance constraints, and the like. The unit level constraints comprise start-stop constraints, adjustment depth constraints and the like.
1) A carbon budget constraint.
In the formula of lambda i CO 、λ i GA Carbon emission coefficients of coal electricity and gas electricity respectively;
the output value of the gas generator set i at the moment of omega scene t is obtained; n is a radical of GA The number of the gas-electric machine sets is set; />
The upper limit of annual carbon dioxide emission.
2) And (4) power balance constraint.
In the formula, P t WI 、P t SO Respectively outputting wind power generation and solar power generation at the moment t; l is t Load demand for period t.
3) And (4) new energy utilization rate target constraint.
In the formula, E WI 、E SO Respectively are the theoretical electric quantity of wind power and solar power generation in the operation simulation period.
4) And (5) restricting the upper limit and the lower limit of the output of the coal-electricity unit.
In the formula (I), the compound is shown in the specification,
and i CO Pthe upper limit and the lower limit of active output of the coal-electric machine set i respectively。
5) And (5) continuously starting and stopping the coal electric unit for constraint.
In the formula, T i on And T i off The minimum starting time and the minimum stopping time of the coal electric machine set i are respectively.
6) Pumped storage and electrochemical storage.
P ω,t,j ≥μ ω,t,j P j,genmin +(1-μ ω,t,j )P j,conmin (12)
P ω,t,j ≤μ ω,t,j P j,genmax +(1-μ ω,t,j )P j,conmax (13)
Wherein, when j represents pumped storage, P j,genmin 、P j,conmin Respectively representing the minimum power for generating and pumping water, P j,genmax 、P j,conmax Respectively representing the maximum power of power generation and water pumping; when j represents electrochemical energy storage, P j,genmin 、P j,conmin Respectively representing the discharge and charge minimum power, P j,genmax 、P j,conmax Representing the maximum power discharged and charged, respectively.
And finally, carrying out production simulation check on the peak regulation resource allocation scheme obtained by the method for 8760 hours to ensure that the proposed peak regulation resource allocation scheme can meet the target of 95% of new energy utilization rate.
According to the invention, when peak-shaving resources are optimally configured, wind and light are allowed to be abandoned to different degrees, constraint conditions can be flexibly constructed according to the target requirement of the utilization rate of new energy in actual operation, peak-shaving resource configuration schemes under different new energy utilization targets are obtained through analysis, and the method is suitable for the situation that new energy adopts a reasonable utilization rate target in the future.
The invention comprehensively considers the power balance, the electric quantity balance and the peak shaving balance of the power system operation, and the obtained peak shaving resource optimization configuration scheme can simultaneously meet the results of three major balances.
System embodiment
According to an embodiment of the present invention, an optimized configuration peak shaving resource system is provided, and fig. 2 is a schematic diagram of the optimized configuration peak shaving resource system according to the embodiment of the present invention, as shown in fig. 2, specifically including:
a module is established: a desired objective function for establishing a total cost of operation of the system;
a constraint condition module: the constraint conditions are used for establishing a system;
a solving module: and the method is used for solving the objective function according to the constraint condition to obtain the peak shaving resource optimization configuration scheme.
The establishing module is specifically configured to:
and establishing a desired objective function of the total operation cost of the system, wherein the desired objective function comprises the new energy investment cost of the first stage, the peak shaving resource allocation cost and the total operation cost of the system desired to be operated in the second stage.
The establishing module is specifically configured to: establishing a desired objective function of the total running cost of the system, wherein the desired objective function comprises the investment cost of new energy in the first stage, the allocation cost of peak shaving resources and the total expected running cost of the system in the second stage, and the allocation cost of peak shaving resources comprises: the coal-electricity flexible transformation cost, the newly-built pumped storage cost and the electrochemical energy storage cost.
The constraint module is specifically configured to: establishing system constraints, wherein the constraints comprise: the method comprises the following steps of carbon budget constraint, power balance constraint, new energy utilization rate target constraint, coal electric machine set output upper and lower limit constraint, coal electric machine set continuous start and stop constraint, pumped storage and electrochemical energy storage related constraint.
The embodiment of the present invention is a system embodiment corresponding to the above method embodiment, and specific operations of each module may be understood with reference to the description of the method embodiment, which is not described herein again.
Apparatus embodiment one
An embodiment of the present invention provides a system for optimally configuring peak shaving resources, as shown in fig. 3, including: a memory 30, a processor 32 and a computer program stored on the memory 30 and executable on the processor 32, the computer program, when executed by the processor, implementing the steps of the above-described method embodiments.
Example II of the device
An embodiment of the present invention provides a computer-readable storage medium, where an implementation program for information transmission is stored, and when the program is executed by the processor 32, the steps in the foregoing method embodiments are implemented.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; the technical solutions of the embodiments of the present invention are not modified or replaced, and the essence of the corresponding technical solutions does not depart from the scope of the present invention.
Claims (10)
1. A peak shaving resource optimal allocation method is characterized by comprising the following steps,
s1, establishing an expected target function of the total running cost of a system;
s2, establishing constraint conditions of the system;
and S3, solving the objective function according to the constraint condition to obtain a peak regulation resource optimization configuration scheme.
2. The method according to claim 1, wherein S1 specifically comprises:
and establishing a desired objective function of the total operation cost of the system, wherein the desired objective function comprises the new energy investment cost of the first stage, the peak shaving resource allocation cost and the total operation cost of the system desired to be operated in the second stage.
3. The method of claim 2, wherein the peak shaver resource configuration cost comprises: coal-electricity flexibility modification cost, newly-built pumped storage cost and electrochemical energy storage cost.
4. The method according to claim 3, wherein the S2 specifically comprises: establishing system constraints, wherein the constraints comprise: the method comprises the following steps of carbon budget constraint, power balance constraint, new energy utilization rate target constraint, coal electric machine set output upper and lower limit constraint, coal electric machine set continuous start and stop constraint, pumped storage and electrochemical energy storage related constraint.
5. A peak shaving resource optimal configuration system is characterized by comprising,
a building module: a desired objective function for establishing a total cost of operation of the system;
a constraint condition module: constraints for establishing a system;
a solving module: and the method is used for solving the objective function according to the constraint condition to obtain the peak shaving resource optimization configuration scheme.
6. The system of claim 5, wherein the establishment module is specifically configured to:
and establishing a desired objective function of the total operation cost of the system, wherein the desired objective function comprises the new energy investment cost of the first stage, the peak shaving resource allocation cost and the total operation cost of the system desired to be operated in the second stage.
7. The system of claim 6, wherein the setup module is specifically configured to: establishing a desired objective function of the total running cost of the system, wherein the desired objective function comprises the investment cost of new energy in the first stage, the allocation cost of peak shaving resources and the total expected running cost of the system in the second stage, and the allocation cost of peak shaving resources comprises: the coal-electricity flexible transformation cost, the newly-built pumped storage cost and the electrochemical energy storage cost.
8. The system of claim 7, wherein the constraint module is specifically configured to: establishing system constraints, wherein the constraints comprise: the method comprises the following steps of carbon budget constraint, power balance constraint, new energy utilization rate target constraint, coal electric machine set output upper and lower limit constraint, coal electric machine set continuous start and stop constraint, pumped storage and electrochemical energy storage related constraint.
9. An apparatus for peak shaving resource optimization configuration, comprising: memory, processor and computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the peak shaver resource optimization configuration method according to any one of claims 1 to 4.
10. A computer-readable storage medium, on which an information transfer implementation program is stored, which when executed by a processor implements the steps of the peak shaver resource optimal configuration method according to any one of claims 1 to 4.
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| CN117638874A (en) * | 2023-11-07 | 2024-03-01 | 国网四川省电力公司经济技术研究院 | New energy system cost determination method based on source network charge storage collaborative optimization |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117638874A (en) * | 2023-11-07 | 2024-03-01 | 国网四川省电力公司经济技术研究院 | New energy system cost determination method based on source network charge storage collaborative optimization |
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