CN113555909B - Multi-energy complementary base wind-light-fire storage construction time sequence optimization method and system - Google Patents
Multi-energy complementary base wind-light-fire storage construction time sequence optimization method and system Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
- H02J3/472—For selectively connecting the AC sources in a particular order, e.g. sequential, alternating or subsets of sources
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention discloses a method and a system for optimizing a multi-energy complementary base wind-light-fire storage construction time sequence, wherein the method comprises the following steps: obtaining a construction time sequence scheme combination of a wind power plant, a photovoltaic power station, a thermal power plant and an energy storage power station; respectively calculating optimization indexes corresponding to the construction time sequence scheme combination, and judging through constraint conditions to obtain effective optimization indexes; comparing to obtain the maximum effective optimization index; and outputting the construction time sequence scheme combination corresponding to the maximum effective optimization index as an optimal scheme. The method and the system for optimizing the construction time sequence of the wind, light and fire integrated base ensure reasonable allocation of investment resources in unit time, simultaneously ensure that the construction cost and the construction income of construction planning are optimal, and are beneficial to cost reduction and efficiency improvement in the construction process of the wind, light and fire integrated base.
Description
Technical Field
The invention relates to the technical field of wind, light and fire storage integration, in particular to a wind, light and fire storage integration energy base coordination control system.
Background
The wind, light and fire integrated base refers to a multi-energy complementary comprehensive energy base based on wind power, solar energy, thermal power generation and energy storage energy forms. In the process of planning and constructing the wind-light-fire-storage integrated base, as engineering construction of multiple complementary energy sources is involved, investment and construction resource limitation are considered, and investment and implementation time sequence planning of various engineering is an important link of the wind-light-fire-storage integrated base.
At present, the existing related time sequence optimization method is mostly based on power grid construction, no time sequence optimization method aiming at a wind, light and fire storage integrated base exists at present, and in practice, quite extensive modes of independent planning, approval and construction of each item are mostly adopted.
Drawbacks of the prior art solutions:
1. the current time sequence optimization method is not suitable for a wind, light and fire storage integrated base aiming at a power transmission network and a power distribution network.
2. The existing rough planning, approval and construction methods are difficult to ensure reasonable allocation of investment resources in unit time, and meanwhile, the construction cost and the construction income of construction planning are difficult to ensure to be optimal.
Disclosure of Invention
The invention provides an optimization method and a corresponding system of the construction time sequence of each energy component aiming at the construction time sequence of the wind, light and fire integrated base, thereby ensuring reasonable distribution of investment resources in unit time, ensuring optimal construction cost and construction income of construction planning and being beneficial to cost reduction and efficiency improvement in the construction process of the wind, light and fire integrated base.
In order to achieve the above object, the present invention provides the following technical solutions.
A multi-energy complementary base wind-light-fire storage construction time sequence optimization method comprises the following steps:
obtaining a construction time sequence scheme combination of a wind power plant, a photovoltaic power station, a thermal power plant and an energy storage power station;
respectively calculating optimization indexes corresponding to the construction time sequence scheme combination, and judging through constraint conditions to obtain effective optimization indexes; comparing to obtain the maximum effective optimization index;
and outputting the construction time sequence scheme combination corresponding to the maximum effective optimization index as an optimal scheme.
As a further improvement of the invention, the optimization indexes corresponding to the construction time sequence scheme combination are calculated respectively, and the effective optimization indexes are obtained through constraint condition judgment; the comparison results in the largest effective optimization index specifically includes:
firstly, inputting an i=1 scheme combination, calculating an optimization index I (Xi) of the scheme combination, judging whether the Xi meets constraint conditions, if yes, taking the Xi as an effective scheme, taking the I (Xi) as an effective numerical value, and then letting the i=i+1, and calculating the next scheme until all schemes are completely calculated; and selecting the maximum value of the index value in the effective scheme from all calculation results.
As a further improvement of the present invention, the calculation method of the optimization index I (Xi) is as follows:
I(Xi)＝-A(Xi)+B(Xi)
wherein A (Xi) is an investment cost index corresponding to Xi, and B (Xi) is a benefit index corresponding to Xi.
As a further improvement of the present invention, the calculation method of the optimization index I (Xi) is as follows:
wherein n is the number of equally divided time phases in the whole planning period, k represents the kth time phase, and k is more than or equal to 1 and less than or equal to n;
Xi＝[Xwi,Xpi,Xfi,Xbi] T
xwi is an n-order column vector, the value range is 0 to 1, 0 represents that the investment injection is not performed in the time period of the wind power plant, 1 represents that 100% of the investment injection is completed in the time period of the wind power plant, namely, the production is started, and Xwi (k) represents that Xwi (k) x100% of the investment injection of the wind power plant is completed in the kth time period of the ith combination scheme;
xpi is an n-order column vector, the value range is 0 to 1, 0 represents that the photovoltaic power station has not been subjected to investment injection at this time stage, 1 represents that the photovoltaic power station has completed 100% of the investment injection at this time stage, i.e. has been put into production, xpi (k) represents that the photovoltaic power station investment injection at the kth time stage of the ith combination scheme has completed Xpi (k) x100%;
xfi is an n-order column vector, the value range is 0 to 1, 0 represents that the investment injection is not performed in the time period of the thermal power plant, 1 represents that 100% of the investment injection is completed in the time period of the thermal power plant, namely, the thermal power plant is put into production, and Xfi (k) represents that Xfi (k) x100% of the investment injection of the thermal power plant is completed in the k-th time period of the i-th combination scheme;
xbi is an n-order column vector, the value range is 0 to 1, 0 represents that the energy storage power station has not been subjected to investment injection at this time period, 1 represents that the energy storage power station has completed 100% of investment injection at this time period, that is, has been put into production, and Xbi (k) represents that the energy storage power station investment injection at the kth time period of the ith combination scheme has completed Xbi (k) by 100%;
aw is the total investment of the wind farm, and ρw is the investment discount rate of the wind farm; ap is the sum of investment of the photovoltaic power station, ρp is the investment discount rate of the photovoltaic power station; af is the total investment of the thermal power plant, and ρf is the investment discount rate of the thermal power plant; ab is the total investment of the energy storage power station, and ρb is the investment discount rate of the energy storage power station.
As a further improvement of the invention:
bw (k) is the phase benefit generated by the kth stage wind power plant, bp (k) is the phase benefit generated by the kth stage photovoltaic power plant, bf (k) is the phase benefit generated by the kth stage thermal power plant, and bb (k) is the phase benefit generated by the kth stage energy storage power plant.
As a further improvement of the present invention, the constraint condition for judging whether Xi is satisfied includes:
constraint 1: maximum investment limit constraint in the kth stage
Aw×Xwi(k)+Ap×Xpi(k)+Af×Xfi(k)+Ab×Xbi(k)≤Cmax(k)
Wherein Cmax (k) is the maximum investment in the kth stage;
constraint 2: time context constraint
The thermal power plant can be built only after the wind power plant is put into operation, and the constraint conditions are as follows:
Xfi(k)＝0(where Xwi(k)＜1)
3) Constraint 3: late constraint of production year
The wind power plant is put into production before the latest year time stage, and the constraint conditions are as follows:
Xwi(k)＝1(where k≥year)
4) Constraint 4: number constraint of production projects in the kth stage
The maximum number of the production projects in the kth time stage is Nmax, and the constraint condition is as follows:
nw(k)+np(k)+nf(k)+nb(k)≤Nmax
wherein nw is an n-order column vector, nw (k) represents the number of wind farms put into production in the kth time period, and the value is 0 or 1; np is an n-order column vector, np (k) represents the number of photovoltaic power stations put into production in the kth time period, and the value is 0 or 1; nf is an n-order column vector, nf (k) represents the number of thermal power plants put into production in the kth time period, and the value is 0 or 1; nb is an n-order column vector, nb (k) represents the number of energy storage power stations put into production in the kth time period, and the value is 0 or 1.
A multi-energy complementary base wind-light-fire storage construction time sequence optimizing system comprises:
the building module is used for building a building time sequence scheme combination of a wind power plant, a photovoltaic power station, a thermal power plant and an energy storage power station;
the calculation module is used for calculating the optimization indexes corresponding to the construction time sequence scheme combination respectively and judging through constraint conditions to obtain effective optimization indexes; comparing to obtain the maximum effective optimization index;
and the output module is used for outputting the construction time sequence scheme combination corresponding to the maximum effective optimization index as an optimal scheme.
An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the multi-energy complementary base wind-solar-fire-storage construction timing optimization method when executing the computer program.
A computer readable storage medium storing a computer program which when executed by a processor implements the steps of the multi-energy complementary base wind-solar-fire-storage construction timing optimization method.
Compared with the prior art, the invention has the following beneficial effects:
according to the wind, light and fire storage integrated base construction time sequence optimization method, the optimization indexes corresponding to the construction time sequence scheme combination are calculated, comparison is carried out to obtain the maximum effective optimization indexes, and the construction time sequence scheme combination corresponding to the maximum effective optimization indexes is selected as an optimal scheme. The reasonable allocation of investment resources in unit time is ensured, and meanwhile, the construction cost and the construction income of construction planning are ensured to be optimal, so that the cost reduction and the efficiency improvement in the construction process of the wind, light and fire storage integrated base are facilitated.
Drawings
The drawings described herein are for illustration purposes only and are not intended to limit the scope of the present disclosure in any way. In addition, the shapes, proportional sizes, and the like of the respective components in the drawings are merely illustrative for aiding in understanding the present invention, and are not particularly limited. In the drawings:
FIG. 1 is a schematic flow chart of a multi-energy complementary base wind, light and fire storage construction time sequence optimization method according to a preferred embodiment of the invention;
FIG. 2 is a diagram of a multi-energy complementary base wind-light-fire storage construction time sequence optimizing system;
FIG. 3 is a flow chart of a multi-energy complementary wind, light and fire storage construction time sequence optimization algorithm;
FIG. 4 is a schematic diagram of a multi-energy complementary base wind-light-fire-storage construction time sequence optimizing system according to a preferred embodiment of the invention;
fig. 5 is a schematic structural view of an electronic device according to a preferred embodiment of the present invention.
Detailed Description
In order to make the technical solution of the present invention better understood by those skilled in the art, the technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, shall fall within the scope of the invention.
It will be understood that when an element is referred to as being "disposed on" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for illustrative purposes only and are not meant to be the only embodiment.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Term interpretation:
multipotent complementary base: the energy base refers to an area based on development of energy and related industries and features, and the multi-energy complementary base refers to an energy base containing various energy types, in particular clean energy, such as wind power, photovoltaic, hydropower and other types of energy.
Wind and light fire storage: wind power, photovoltaic, thermal power and energy storage.
The first aim of the invention is to provide a multi-energy complementary base wind, light and fire storage construction time sequence optimization method, which comprises the following steps:
obtaining a construction time sequence scheme combination of a wind power plant, a photovoltaic power station, a thermal power plant and an energy storage power station;
respectively calculating optimization indexes corresponding to the construction time sequence scheme combination, and judging through constraint conditions to obtain effective optimization indexes; comparing to obtain the maximum effective optimization index;
and outputting the construction time sequence scheme combination corresponding to the maximum effective optimization index as an optimal scheme.
FIG. 2 is a diagram of a multi-energy complementary base wind, light and fire storage construction time sequence optimizing system, and the input and output variables are packaged into the system. X1-XN are wind-light-fire storage base construction time sequence scheme combinations, I (X1) -I (XN) are comprehensive index values calculated by a certain scheme combination, and flag (X1) -flag (XN) are characterization values of whether the certain scheme combination meets corresponding constraint conditions, wherein the value is 1 and is not met, and the value is 0 and is not met.
FIG. 3 is a flow chart of a multi-energy complementary wind, light and fire storage construction time sequence optimizing algorithm, and the optimizing method is described below by combining the flow chart and the optimizing model formulation expression.
After the calculation is started, firstly, inputting the i=1th scheme combination, calculating an optimization index I (Xi) of the scheme combination, judging whether the Xi meets constraint conditions, if yes, taking the Xi as an effective scheme, taking the I (Xi) as an effective numerical value, and then enabling the i=i+1 to calculate the next scheme until all schemes are completely calculated. And selecting a scheme with the maximum index value in the effective scheme from all calculation results, namely the optimal scheme.
The calculation method of the optimization index I (Xi) is as follows.
I(Xi)＝-A(Xi)+B(Xi)
Wherein A (Xi) is an investment cost index corresponding to Xi, and B (Xi) is a benefit index corresponding to Xi.
Wherein n is the number of time stages equally divided in the whole planning period, generally, the unit is year, and k represents the kth time stage, so that k is more than or equal to 1 and less than or equal to n.
Xi＝[Xwi,Xpi,Xfi,Xbi] T
Xwi is an n-order column vector, the value range is 0 to 1, 0 represents that the investment injection is not performed in the time period of the wind power plant, 1 represents that 100% of the investment injection is completed in the time period of the wind power plant, namely, the production is already performed, and Xwi (k) represents that Xwi (k) x100% of the investment injection of the wind power plant is completed in the kth time period of the ith combination scheme.
Xpi is an n-order column vector, the value range is a closed interval of 0 to 1, 0 represents that the photovoltaic power station has not performed investment injection in the time period, 1 represents that the photovoltaic power station has completed 100% of investment injection in the time period, namely has been put into production, and Xpi (k) represents that the investment injection of the photovoltaic power station in the kth time period of the ith combination scheme has completed Xpi (k) by 100%.
Xfi is an n-order column vector, the value range is 0 to 1, 0 represents that the investment injection is not performed in the time period of the thermal power plant, 1 represents that 100% of the investment injection is completed in the time period of the thermal power plant, namely, the thermal power plant is put into production, and Xfi (k) represents that Xfi (k) x100% of the investment injection of the thermal power plant is completed in the k-th time period of the i-th combination scheme.
Xbi is an n-order column vector, the value range is 0 to 1, 0 represents that the energy storage power station has not been subjected to investment injection in this time period, 1 represents that the energy storage power station has completed 100% of investment injection in this time period, that is, has been put into production, and Xbi (k) represents that the energy storage power station investment injection in the kth time period of the ith combination scheme has completed Xbi (k) x100%.
Aw is the total investment of the wind farm, and ρw is the investment discount rate of the wind farm; ap is the sum of investment of the photovoltaic power station, ρp is the investment discount rate of the photovoltaic power station; af is the total investment of the thermal power plant, and ρf is the investment discount rate of the thermal power plant; ab is the total investment of the energy storage power station, and ρb is the investment discount rate of the energy storage power station.
bw (k) is the phase benefit generated by the kth stage wind power plant, bp (k) is the phase benefit generated by the kth stage photovoltaic power plant, bf (k) is the phase benefit generated by the kth stage thermal power plant, and bb (k) is the phase benefit generated by the kth stage energy storage power plant.
Further, the constraint condition for determining whether Xi is satisfied is described as follows.
1) Constraint 1: maximum investment limit constraint in the kth stage
Aw×Xwi(k)+Ap×Xpi(k)+Af×Xfi(k)+Ab×Xbi(k)≤Cmax(k)
Wherein Cmax (k) is the maximum investment in the kth stage.
2) Constraint 2: time context constraint
For example, the thermal power plant is required to start construction after the wind farm is put on, provided that
Xfi(k)＝0(where Xwi(k)＜1)
3) Constraint 3: late constraint of production year
For example, requiring production before the latest year time stage of a wind farm, provided that
Xwi(k)＝1(where k≥year)
4) Constraint 4: number constraint of production projects in the kth stage
For example, the number of production projects requiring the kth time period is at most Nmax, provided that
nw(k)+np(k)+nf(k)+nb(k)≤Nmax
Wherein nw is an n-order column vector, nw (k) represents the number of wind farms put into production in the kth time period, and the value is 0 or 1; np is an n-order column vector, np (k) represents the number of photovoltaic power stations put into production in the kth time period, and the value is 0 or 1; nf is an n-order column vector, nf (k) represents the number of thermal power plants put into production in the kth time period, and the value is 0 or 1; nb is an n-order column vector, nb (k) represents the number of energy storage power stations put into production in the kth time period, and the value is 0 or 1.
Taking a five-year energy base planning for a certain province as an example, 300MW of thermal power construction, 500MW of wind power construction, 500MW of photovoltaic construction and 100MW of energy storage construction. The method of the invention optimizes the production time sequence as follows.
| Annual year | Thermal power construction capacity | Wind power construction capacity | Photovoltaic construction capacity | Energy storage construction capacity |
| First year of | 0 | 100 | 0 | 0 |
| Second year | 100 | 150 | 0 | 0 |
| Third year | 200 | 370 | 0 | 0 |
| Fourth year | 250 | 430 | 200 | 0 |
| Fifth year | 300 | 500 | 500 | 100 |
As shown in fig. 3, another objective of the present invention is to provide a multi-energy complementary base wind-light-fire-storage construction timing optimization system, which includes:
the building module is used for building a building time sequence scheme combination of a wind power plant, a photovoltaic power station, a thermal power plant and an energy storage power station;
the calculation module is used for calculating the optimization indexes corresponding to the construction time sequence scheme combination respectively and judging through constraint conditions to obtain effective optimization indexes; comparing to obtain the maximum effective optimization index;
and the output module is used for outputting the construction time sequence scheme combination corresponding to the maximum effective optimization index as an optimal scheme.
As shown in fig. 4, a third object of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the multi-energy complementary base wind-solar-fire-storage construction timing optimization method when executing the computer program.
The multi-energy complementary base wind-light-fire storage construction time sequence optimization method comprises the following steps:
obtaining a construction time sequence scheme combination of a wind power plant, a photovoltaic power station, a thermal power plant and an energy storage power station;
respectively calculating optimization indexes corresponding to the construction time sequence scheme combination, and judging through constraint conditions to obtain effective optimization indexes; comparing to obtain the maximum effective optimization index;
and outputting the construction time sequence scheme combination corresponding to the maximum effective optimization index as an optimal scheme.
A fourth object of the present invention is to provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method for optimizing the construction timing of a multi-energy complementary base wind-solar-fire reservoir.
The multi-energy complementary base wind-light-fire storage construction time sequence optimization method comprises the following steps:
obtaining a construction time sequence scheme combination of a wind power plant, a photovoltaic power station, a thermal power plant and an energy storage power station;
respectively calculating optimization indexes corresponding to the construction time sequence scheme combination, and judging through constraint conditions to obtain effective optimization indexes; comparing to obtain the maximum effective optimization index;
and outputting the construction time sequence scheme combination corresponding to the maximum effective optimization index as an optimal scheme.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (5)
1. The method for optimizing the construction time sequence of the wind-light-fire storage of the multi-energy complementary base is characterized by comprising the following steps of:
obtaining a construction time sequence scheme combination of a wind power plant, a photovoltaic power station, a thermal power plant and an energy storage power station;
respectively calculating optimization indexes corresponding to the construction time sequence scheme combination, and judging through constraint conditions to obtain effective optimization indexes; comparing to obtain the maximum effective optimization index;
outputting a construction time sequence scheme combination corresponding to the maximum effective optimization index as an optimal scheme;
respectively calculating optimization indexes corresponding to the construction time sequence scheme combination, and judging through constraint conditions to obtain effective optimization indexes; the comparison results in the largest effective optimization index specifically includes:
firstly, inputting an i=1 scheme combination, calculating an optimization index I (Xi) of the scheme combination, judging whether the Xi meets constraint conditions, if yes, taking the Xi as an effective scheme, taking the I (Xi) as an effective numerical value, and then letting the i=i+1, and calculating the next scheme until all schemes are completely calculated; selecting the maximum value of the index value in the effective scheme from all calculation results;
the calculation method of the optimization index I (Xi) comprises the following steps:
I(Xi)＝-A(Xi)+B(Xi)
wherein A (Xi) is an investment cost index corresponding to Xi, and B (Xi) is a benefit index corresponding to Xi;
the calculation method of the optimization index I (Xi) comprises the following steps:
wherein n is the number of equally divided time phases in the whole planning period, k represents the kth time phase, and k is more than or equal to 1 and less than or equal to n;
Xi＝[Xwi,Xpi,Xfi,Xbi] T
xwi is an n-order column vector, the value range is 0 to 1, 0 represents that the investment injection is not performed in the time period of the wind power plant, 1 represents that 100% of the investment injection is completed in the time period of the wind power plant, namely, the production is started, and Xwi (k) represents that Xwi (k) x100% of the investment injection of the wind power plant is completed in the kth time period of the ith combination scheme;
xpi is an n-order column vector, the value range is 0 to 1, 0 represents that the photovoltaic power station has not been subjected to investment injection at this time stage, 1 represents that the photovoltaic power station has completed 100% of the investment injection at this time stage, i.e. has been put into production, xpi (k) represents that the photovoltaic power station investment injection at the kth time stage of the ith combination scheme has completed Xpi (k) x100%;
xfi is an n-order column vector, the value range is 0 to 1, 0 represents that the investment injection is not performed in the time period of the thermal power plant, 1 represents that 100% of the investment injection is completed in the time period of the thermal power plant, namely, the thermal power plant is put into production, and Xfi (k) represents that Xfi (k) x100% of the investment injection of the thermal power plant is completed in the k-th time period of the i-th combination scheme;
xbi is an n-order column vector, the value range is 0 to 1, 0 represents that the energy storage power station has not been subjected to investment injection at this time period, 1 represents that the energy storage power station has completed 100% of investment injection at this time period, that is, has been put into production, and Xbi (k) represents that the energy storage power station investment injection at the kth time period of the ith combination scheme has completed Xbi (k) by 100%;
aw is the total investment of the wind farm, and ρw is the investment discount rate of the wind farm; ap is the sum of investment of the photovoltaic power station, ρp is the investment discount rate of the photovoltaic power station; af is the total investment of the thermal power plant, and ρf is the investment discount rate of the thermal power plant; ab is the total investment of the energy storage power station, and ρb is the investment discount rate of the energy storage power station;
the constraint conditions for judging whether Xi is satisfied include:
constraint 1: maximum investment limit constraint in the kth stage
Aw×Xwi(k)+Ap×Xpi(k)+Af×Xfi(k)+Ab×Xbi(k)≤Cmax(k)
Wherein Cmax (k) is the maximum investment in the kth stage;
constraint 2: time context constraint
The thermal power plant can be built only after the wind power plant is put into operation, and the constraint conditions are as follows:
Xfi(k)＝0(where Xwi(k)＜1)
3) Constraint 3: late constraint of production year
The wind power plant is put into production before the latest year time stage, and the constraint conditions are as follows:
Xwi(k)＝1(where k≥year)
4) Constraint 4: number constraint of production projects in the kth stage
The maximum number of the production projects in the kth time stage is Nmax, and the constraint condition is as follows:
nw(k)+np(k)+nf(k)+nb(k)≤Nmax
wherein nw is an n-order column vector, nw (k) represents the number of wind farms put into production in the kth time period, and the value is 0 or 1; np is an n-order column vector, np (k) represents the number of photovoltaic power stations put into production in the kth time period, and the value is 0 or 1; nf is an n-order column vector, nf (k) represents the number of thermal power plants put into production in the kth time period, and the value is 0 or 1; nb is an n-order column vector, nb (k) represents the number of energy storage power stations put into production in the kth time period, and the value is 0 or 1.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
bw (k) is the phase benefit generated by the kth stage wind power plant, bp (k) is the phase benefit generated by the kth stage photovoltaic power plant, bf (k) is the phase benefit generated by the kth stage thermal power plant, and bb (k) is the phase benefit generated by the kth stage energy storage power plant.
3. A multi-energy complementary base wind-light-fire-storage construction time sequence optimizing system based on the method of claim 1 or 2, characterized by comprising:
the building module is used for building a building time sequence scheme combination of a wind power plant, a photovoltaic power station, a thermal power plant and an energy storage power station;
the calculation module is used for calculating the optimization indexes corresponding to the construction time sequence scheme combination respectively and judging through constraint conditions to obtain effective optimization indexes; comparing to obtain the maximum effective optimization index;
and the output module is used for outputting the construction time sequence scheme combination corresponding to the maximum effective optimization index as an optimal scheme.
4. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the multi-energy complementary base wind-solar-fire reservoir construction timing optimization method of claim 1 or 2 when the computer program is executed.
5. A computer readable storage medium storing a computer program which when executed by a processor implements the steps of the multi-energy complementary base wind-solar-fire-reservoir construction-timing optimization method of claim 1 or 2.
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