CN108288861B - Site selection and volume fixing combined optimization method for wind power plant group wind storage system - Google Patents

Site selection and volume fixing combined optimization method for wind power plant group wind storage system Download PDF

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CN108288861B
CN108288861B CN201810101323.8A CN201810101323A CN108288861B CN 108288861 B CN108288861 B CN 108288861B CN 201810101323 A CN201810101323 A CN 201810101323A CN 108288861 B CN108288861 B CN 108288861B
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CN108288861A (en
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江岳文
温步瀛
林建新
王燕彬
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Fuzhou University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/06—Electricity, gas or water supply
    • 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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • 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
    • H02J3/48—Controlling the sharing of the in-phase component
    • 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
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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 relates to a method for site selection and volume determination combined optimization of a wind power plant group wind storage system. The method considers the setting of the position of a central substation, and optimizes the high-low voltage side transmission capacity of the central substation of the wind power plant group and the power configuration of an energy storage system; and comprehensively considering the power grid transmission income, the construction cost of the high-low voltage side transmission project of the central substation, the energy storage power configuration cost and the wind abandoning loss caused by possible blockage, constructing an optimization model capable of reflecting the maximization of the social benefit of the wind-storage combined system, and obtaining the position of the central substation, the high-low voltage side transmission capacity and the energy storage power configuration. The implementation of the method is beneficial to reasonably planning the wind power station group outgoing transmission project, fully utilizes wind resources and improves the social benefit of the wind power planning project.

Description

Site selection and volume fixing combined optimization method for wind power plant group wind storage system
Technical Field
The invention relates to the field of power grid planning, in particular to a method for site selection and volume determination combined optimization of a wind power plant group wind storage system.
Background
Wind power resources in China are far away from a load center, a plurality of wind power stations are located at the tail end of a power grid, wind power cannot be consumed on the spot, a matched remote power transmission line needs to be built, and electric energy is transmitted to the load center. The wind power output power fluctuation is large, the energy density is low, in order to optimize the wind power output, the transmission project is reasonably utilized, the line loss is reduced, the output of each wind power plant is firstly converged to the central transformer substation, and the wind power is boosted by the central transformer substation and is output. The length of a transmission line from each wind power plant to the central substation and the length of a transmission line from the central substation to a system access point wind power plant group are directly influenced by the position of the central substation, and therefore social benefits of the wind storage combined transmission system are influenced. In addition, in order to deal with the fluctuation of wind power, the abandoned wind is reduced, the wind power output is stabilized, an energy storage facility is configured at the central substation, the energy storage system can store the electric quantity which should originally be abandoned when the redundant wind power cannot be absorbed by the load, and the stored electric quantity is released by the energy storage system when the wind power output is insufficient at the load peak.
In the existing research, either the position of a central substation is fixed, and a wind-storage combined delivery optimization model is constructed from an economic perspective, or the influence of the position of the central substation on the optimization of the capacity of the high-low voltage side power transmission line is considered, and the influence of energy storage capacity configuration on the economy of a wind-storage combined delivery system is not considered. Aiming at the defects of the research, the invention performs combined optimization on the position of the central transformer station, the high-low voltage side transmission capacity of the central transformer station of the wind power plant group and the power configuration of the energy storage system, and considers the influence of the position of the central transformer station on the social benefit of the wind storage combined system and the influence of the configuration of the energy storage system on the benefit of the wind storage combined delivery project.
Disclosure of Invention
The invention aims to provide a site selection and volume fixing combined optimization method for a wind power plant group wind storage system, which jointly optimizes site selection of a central substation position of the wind power plant group wind storage combined system, high-low voltage side transmission capacity of the central substation of the wind power plant group and energy storage system power configuration, saves investment of wind power plant group transmission engineering, increases social benefits and effectively utilizes wind resources.
In order to achieve the purpose, the technical scheme of the invention is as follows: a method for site selection and volume determination combined optimization of a wind power plant group wind storage system comprises the following steps:
step S1: acquiring output time sequences of each wind power plant of a wind power plant group;
step S2: comprehensively considering the power grid transmission income, the construction cost of high-low voltage side transmission projects, the energy storage power configuration cost and the wind power station group wind abandoning loss caused by possible blockage, constructing a central substation positioning and transmission capacity and energy storage power configuration joint optimization model capable of reflecting the social benefit of the wind storage joint system, and maximizing the social benefit of the wind storage joint system by using an objective function; the mathematical function is expressed as follows:
Figure BDA0001566182930000011
wherein f represents the annual social benefit of the wind power station group outgoing power transmission project; r (P)line,Ce) Representing annual transmission income of a transmission project; cline(Pline) Representing the construction cost of the power transmission project; l (P)L1,PL2,…,PLn,Pline) Represents annual wind curtailment loss; cESS(Ce) Representing energy storage system configuration costs; pL1Representing the capacity of a transmission line from a wind power plant 1 to a central substation; pL2Representing the capacity of the transmission line from the wind power plant 2 to the central substation; pLnRepresenting the capacity of a transmission line from a wind power plant n to a central substation; plineThe capacity of a transmission line from the high-voltage side of a central substation of the wind power plant group to an access point of a power system is represented; ceRepresenting the maximum charge and discharge power of stored energy;
step S3: and solving the wind storage combined system delivery optimization model to obtain the position of the central substation, the optimal outgoing line capacity from the wind power plant to the central substation, the optimal transmission capacity from the central substation to the power system and the optimal configuration scheme of the energy storage power.
In an embodiment of the present invention, in step S2, the power grid transmission benefit is calculated according to the electric quantity sent by the wind energy storage combined system every year, and is expressed by a mathematical function as follows:
R(Pline,Ce)＝Kr(Gwind+Gfound)
wherein, KrRepresenting the charge of the wind power electric quantity of a transmission unit of a power transmission enterprise; gwindThe wind power generation electric quantity sent out every year by the energy storage system transmission project is not taken into account; gfoundThe method is characterized in that the power transmission project increases the output electric quantity every year due to the configuration of an energy storage system;
Gwindand GfoundExpressed as a mathematical function:
Figure BDA0001566182930000021
Figure BDA0001566182930000022
wherein, tlineRepresenting the duration of output time that the output power of the wind power plant group is higher than the capacity of the outgoing transmission line; t represents the total continuous output time of the wind power plant group; t is teThe output time of the wind power plant group is higher than the sum of the output capacity and the energy storage power; and P (t) is the output power of the wind power plant i at the time t.
In an embodiment of the present invention, in step S2, the high-low voltage side power transmission project construction cost and the energy storage power allocation cost are calculated by using an annual cost method, where the high-low voltage side power transmission project construction cost is expressed by a mathematical function as follows:
Figure BDA0001566182930000023
wherein, Kc1The construction cost of the transmission project of unit capacity and unit length of the low-voltage side is expressed; kchThe construction cost of the transmission project of unit capacity and unit length at the high-voltage side is represented; pLiRepresenting the capacity of a transmission line from a wind power plant i to a central substation; l isiRepresenting the length of a transmission line from a wind power plant i to a central substation; n represents n wind farms in the wind farm group; l represents the length of a transmission line from a central substation of the wind power plant group to a system access point; t issRepresenting a static recovery period of the transmission investment; r represents the discount rate;
the energy storage system configuration cost is expressed as a mathematical function as follows:
Figure BDA0001566182930000031
wherein, C1Representing an energy storage system power price; cePower indicative of an energy storage system configuration; t iscIndicating the energy storage life cycle.
In an embodiment of the present invention, in step S2, the wind curtailment loss of the wind farm group is calculated according to the annual wind curtailment electric quantity of the wind-storage combined system, and is expressed by a mathematical function as follows:
Figure BDA0001566182930000032
wherein, KlCalculating the unit price of the loss of the abandoned wind according to the unit price of the wind power generation; glostiAnnual wind curtailment power, G, caused by the limitation of the transmission line capacity from the wind farm i to the central substationlostaRepresenting the abandoned wind loss caused by the capacity limit of the transmission line from the high-voltage side of the central substation to the access point of the power system;
Glostiand GlostExpressed as a mathematical function:
Figure BDA0001566182930000033
Figure BDA0001566182930000034
wherein, tLiFor wind power plant i, the power output is higher than the capacity P of the power transmission lineLiThe duration of the force; piAnd (t) the output of the wind power plant i at the moment t.
In an embodiment of the present invention, in the step S2, the constraint conditions included in the objective function include: capacity constraint of a delivery line of each wind power plant, capacity constraint of a delivery line of a wind power plant group, charge and discharge power constraint of an energy storage system, charge state balance constraint of the energy storage system, capacity constraint of the energy storage system and energy balance constraint of the energy storage system; wherein the content of the first and second substances,
(a) the capacity constraint of the wind power plant outgoing line and the capacity constraint of the wind power plant group outgoing line are expressed by mathematical functions as follows:
0≤P(t)≤Pline
0≤Pi(t)≤PLi
(b) the charge and discharge power constraint of the energy storage system is expressed by a mathematical function as follows:
|Pe(t)|≤Ce
(c) the state of charge balance constraint of the energy storage system is expressed by a mathematical function as follows:
SOC(t)＝SOC(t-1)+Pe(t)
wherein SOC (t) represents the state of charge of the energy storage system at time t;
(d) the capacity constraint of the energy storage system is expressed by a mathematical function as follows:
SOC(t)＜SOCmax
therein, SOCmaxRepresenting the maximum state of charge allowed by the energy storage system;
(e) the energy balance constraint of the energy storage system is expressed by a mathematical function as follows:
Figure BDA0001566182930000041
compared with the prior art, the invention has the following beneficial effects: according to the method, the power grid transmission income, the construction cost of the high-low voltage side transmission project of the central substation, the energy storage power configuration cost and the wind abandon loss caused by possible blockage are comprehensively considered, an optimization model capable of reflecting the maximization of the social benefit of the wind-storage combined system is constructed, and the position of the central substation, the high-low voltage side transmission capacity and the energy storage power configuration are obtained; the implementation of the method is beneficial to reasonably planning the wind power station group outgoing transmission project, fully utilizes wind resources and improves the social benefit of the wind power planning project.
Drawings
FIG. 1 is a schematic diagram of a wind farm cluster access system; after the output of each wind power plant is converged to the central substation, the output is boosted by the central substation and sent out, and the distance from each wind power plant to the central substation and the transmission distance outside the central substation, namely L, are influenced by the position of the central substation1，L2，L3And L, optimizing the transmission capacity P from each wind power plant to the central substation by using the variableL1、PL2、PL3Central substation outgoing transmission capacity PlineEnergy storage system power configuration CeAnd the location (x, y) of the central substation.
FIG. 2 is a schematic diagram of distance calculation between any two points on the earth.
FIG. 3 is a time sequence of output of each wind farm of the wind farm group.
Detailed Description
The technical scheme of the invention is specifically explained below by combining the attached drawings 1-3.
As shown in fig. 1, the method for site selection and volume determination combined optimization of the wind storage system of the wind farm group comprises the following steps:
step S1: acquiring output time sequences of each wind power plant of a wind power plant group;
step S2: comprehensively considering the power grid transmission income, the construction cost of high-low voltage side transmission projects, the energy storage power configuration cost and the wind power station group wind abandoning loss caused by possible blockage, constructing a central substation positioning and transmission capacity and energy storage power configuration joint optimization model capable of reflecting the social benefit of the wind storage joint system, and maximizing the social benefit of the wind storage joint system by using an objective function; the mathematical function is expressed as follows:
Figure BDA0001566182930000042
wherein f represents the annual social benefit of the wind power station group outgoing power transmission project; r (P)line,Ce) Representing annual transmission income of a transmission project; cline(Pline) Representing the construction cost of the power transmission project; l (P)L1,PL2,…,PLn,Pline) Represents annual wind curtailment loss; cESS(Ce) Representing energy storage system configuration costs; pL1Representing the capacity of a transmission line from a wind power plant 1 to a central substation; pL2Representing the capacity of the transmission line from the wind power plant 2 to the central substation; pLnRepresenting the capacity of a transmission line from a wind power plant n to a central substation; plineThe capacity of a transmission line from the high-voltage side of a central substation of the wind power plant group to an access point of a power system is represented; ceRepresenting the maximum charge and discharge power of stored energy;
step S3: and solving the wind storage combined system delivery optimization model to obtain the position of the central substation, the optimal outgoing line capacity from the wind power plant to the central substation, the optimal transmission capacity from the central substation to the power system and the optimal configuration scheme of the energy storage power.
Further, the step S2 specifically includes the following steps:
step S21: and calculating annual power transmission income according to the electric quantity sent out annually by the wind storage combined system. The mathematical function is expressed as follows:
R(Pline,Ce)＝Kr(Gwind+Gfound)
wherein, KrRepresenting the charge of the wind power electric quantity of a transmission unit of a power transmission enterprise; gwindThe wind power generation electric quantity sent out every year by the energy storage system transmission project is not taken into account; gfoundIndicating that the power transmission project increases the amount of power delivered each year as a result of the configuration of the energy storage system.
GwindAnd GfoundExpressed as a mathematical function:
Figure BDA0001566182930000051
Figure BDA0001566182930000052
wherein, tlineRepresenting the duration of output time that the output power of the wind power plant group is higher than the capacity of the outgoing transmission line; t represents the total continuous output time of the wind power plant group; t is teThe output time of the wind power plant group is higher than the sum of the output capacity and the energy storage power; and P (t) is the output power of the wind power plant i at the time t.
Step S22: the construction cost of the power transmission project is calculated according to a cost equal-year value method, and is expressed by a mathematical function as follows:
Figure BDA0001566182930000053
wherein, Kc1The unit capacity and unit length of the low-voltage side are expressed, and the unit/(kW & h) is the cost of the power transmission project; kchMeans unit capacity and unit of high pressure sideThe length of the power transmission project cost is yuan/(kW & h); pLiRepresenting the capacity of a transmission line from a wind power plant i to a central substation; l isiRepresenting the length of a transmission line from a wind power plant i to a central substation; n represents n wind farms in the wind farm group; l represents the length of a transmission line from a central substation of the wind power plant group to a system access point; t issRepresenting a static recovery period of the transmission investment; and r represents the discount rate.
Step S23: and calculating the abandoned wind loss according to the annual abandoned wind electric quantity of the wind storage combined system. The mathematical function is expressed as follows:
Figure BDA0001566182930000054
wherein, KlThe unit price of the loss of the abandoned wind (calculated according to the unit price of the wind power generation); glostiAnnual wind curtailment power, G, caused by the limitation of the transmission line capacity from the wind farm i to the central substationlostaAnd the loss of abandoned wind caused by the capacity limit of the transmission line from the high-voltage side of the central substation to the access point of the power system is shown.
GlostiAnd GlostExpressed as a mathematical function:
Figure BDA0001566182930000061
Figure BDA0001566182930000062
wherein, tLiFor wind power plant with i outlet higher than outlet capacity PLiThe duration of the force; piAnd (t) the output of the wind power plant i at the moment t.
Step S24: calculating the configuration cost of the energy storage system according to a cost equal-year value method, and expressing the configuration cost by using a mathematical function as follows:
Figure BDA0001566182930000063
wherein, C1Representing an energy storage system power price; cePower indicative of an energy storage system configuration; t iscIndicating the energy storage life cycle.
Further, the step S2 includes the following constraints: capacity constraint of a delivery line of each wind power plant, capacity constraint of a delivery line of a wind power plant group, charge and discharge power constraint of an energy storage system, charge state balance constraint of the energy storage system, capacity constraint of the energy storage system and energy balance constraint of the energy storage system;
(a) line capacity constraints. The mathematical function is expressed as follows:
0≤P(t)≤Pline
0≤Pi(t)≤PLi
(b) the constraint of rated charge-discharge power cannot be exceeded in the operation process of the energy storage system. The mathematical function is expressed as follows:
|Pe(t)|≤Ce
(c) and (5) energy storage system state of charge balance constraint. The mathematical function is expressed as follows:
SOC(t)＝SOC(t-1)+Pe(t)
where soc (t) represents the state of charge of the energy storage system at time t.
(d) And (4) energy storage system capacity constraint. The mathematical function is expressed as follows:
SOC(t)＜SOCmax
therein, SOCmaxIndicating the maximum state of charge allowed by the energy storage system.
(e) In order to enable the energy storage system to be recycled, energy conservation, namely energy balance constraint of the energy storage system, is met in one charging and discharging period of 24 h. The mathematical function is expressed as follows:
Figure BDA0001566182930000071
the following are specific examples of the present invention.
The embodiment provides a method for site selection and volume measurement combined optimization of a wind power plant group wind storage system, which specifically comprises the following steps:
step S1: acquiring output time sequences and related parameters of each wind power plant of a wind power plant group; the output time sequence of each wind power plant of the wind power plant group is shown in FIG. 3, and the specific parameters are as follows: the total installed capacity of the wind power plant group is 891 MW; kr0.06 yuan/(kW h); kch10000 yuan/(MW km); kcl4850 yuan/(MW km); kl0.6 yuan/(kW h); r is 0.06; t iss20 years old; power price C of energy storage system1360 yuan/kW; energy storage life cycle TcFor 10 years; longitudinal coordinate x of wind farm 11119.374673 ° E; latitude coordinate y of wind farm 11The letter 25.266761 ° N is north latitude; longitudinal coordinate x of wind farm 22119.3008 ° E; latitude coordinate y of wind farm 2225.19453 ° N; longitudinal coordinate x of wind farm 33119.176627 ° E; latitude coordinate y of wind farm 3325.275585 ° N; longitude coordinate x of the point of co-connection∞118.682514 ° E; latitude coordinate y of grid-connected point∞＝25.367226°N。
FIG. 2 is a schematic diagram of distance calculation between any two points on the earth, where R is the radius of the earth, and the distance calculation formula between any two points on the earth is as follows:
Figure BDA0001566182930000072
from Δ OCD, we obtain:
Figure BDA0001566182930000073
Figure BDA0001566182930000074
in conclusion, the following steps are obtained:
Figure BDA0001566182930000075
step S2: and establishing a central substation position site selection, transmission capacity and energy storage power configuration joint optimization model for maximizing the social benefit of the wind storage joint system.
Step S3: and solving the position site selection, the transmission capacity and the energy storage power configuration of the central substation of the wind power plant cluster wind storage combined system by utilizing a particle swarm algorithm. Taking the output curve of each wind power plant of the wind power plant group as an example for calculation, taking a wind power value every 10min, and optimizing the outgoing line capacity P of the outgoing wind power plant 1L1227MW, wind farm 2 outlet capacity PL2230MW, wind farm 3 outgoing capacity PL3263MW, wind farm group outgoing line capacity Pline473MW, stored energy configured power Ce237MW, central substation longitude and latitude coordinates (119.1810 ° E, 25.1838 ° N), L1＝22.5km，L2＝13.7km，L34.4km, 57.5km and 2.10 billion yuan of the total profit f, which is the maximum value.
The above are preferred embodiments of the present invention, and all changes made according to the technical scheme of the present invention that produce functional effects do not exceed the scope of the technical scheme of the present invention belong to the protection scope of the present invention.

Claims (2)

1. A method for site selection and volume determination combined optimization of a wind power plant group wind storage system is characterized by comprising the following steps:
step S1: acquiring output time sequences of each wind power plant of a wind power plant group;
step S2: comprehensively considering the power grid transmission income, the construction cost of high-low voltage side transmission projects, the energy storage power configuration cost and the wind power station group wind abandoning loss caused by possible blockage, constructing a central substation positioning and transmission capacity and energy storage power configuration joint optimization model capable of reflecting the social benefit of the wind storage joint system, and maximizing the social benefit of the wind storage joint system by using an objective function; the mathematical function is expressed as follows:
Figure FDA0002895788560000011
wherein f represents the annual social benefit of the wind power station group outgoing power transmission project; r(Pline,Ce) Representing annual transmission income of a transmission project; cline(Pline) Representing the construction cost of the power transmission project; l (P)L1,PL2,…,PLn,Pline) Represents annual wind curtailment loss; cESS(Ce) Representing energy storage system configuration costs; pL1Representing the capacity of a transmission line from a wind power plant 1 to a central substation; pL2Representing the capacity of the transmission line from the wind power plant 2 to the central substation; pLnRepresenting the capacity of a transmission line from a wind power plant n to a central substation; plineThe capacity of a transmission line from the high-voltage side of a central substation of the wind power plant group to an access point of a power system is represented; ceRepresenting the maximum charge and discharge power of stored energy;
step S3: solving a wind storage combined system delivery optimization model to obtain a position of a central substation, optimal outgoing line capacity from a wind power plant to the central substation, optimal transmission capacity from the central substation to a power system and an optimal configuration scheme of energy storage power;
in step S2, the power grid transmission benefit is calculated according to the electric quantity sent by the wind power storage combined system every year, and is expressed by a mathematical function as follows:
R(Pline,Ce)＝Kr(Gwind+Gfound)
wherein, KrRepresenting the charge of the wind power electric quantity of a transmission unit of a power transmission enterprise; gwindThe wind power generation electric quantity sent out every year by the energy storage system transmission project is not taken into account; gfoundThe method is characterized in that the power transmission project increases the output electric quantity every year due to the configuration of an energy storage system;
Gwindand GfoundExpressed as a mathematical function:
Figure FDA0002895788560000012
Figure FDA0002895788560000013
wherein, tlineRepresenting the duration of output time that the output power of the wind power plant group is higher than the capacity of the outgoing transmission line; t represents the total continuous output time of the wind power plant group; t is teThe output time of the wind power plant group is higher than the sum of the output capacity and the energy storage power; p (t) is the output power of the wind power plant i at the time t;
in step S2, the construction cost of the high-low voltage side power transmission project and the energy storage power allocation cost are calculated by using a cost equal-year value method, where the construction cost of the high-low voltage side power transmission project is expressed by a mathematical function as follows:
Figure FDA0002895788560000021
wherein, Kc1The construction cost of the transmission project of unit capacity and unit length of the low-voltage side is expressed; kchThe construction cost of the transmission project of unit capacity and unit length at the high-voltage side is represented; pLiRepresenting the capacity of a transmission line from a wind power plant i to a central substation; l isiRepresenting the length of a transmission line from a wind power plant i to a central substation; n represents n wind farms in the wind farm group; l represents the length of a transmission line from a central substation of the wind power plant group to a system access point; t issRepresenting a static recovery period of the transmission investment; r represents the discount rate;
the energy storage system configuration cost is expressed as a mathematical function as follows:
Figure FDA0002895788560000022
wherein, C1Representing an energy storage system power price; cePower indicative of an energy storage system configuration; t iscRepresenting an energy storage life cycle;
in step S2, the wind curtailment loss of the wind farm group is calculated according to the annual wind curtailment electric quantity of the wind-storage combined system, and is expressed by a mathematical function as follows:
Figure FDA0002895788560000023
wherein, KlCalculating the unit price of the loss of the abandoned wind according to the unit price of the wind power generation; glostiAnnual wind curtailment power, G, caused by the limitation of the transmission line capacity from the wind farm i to the central substationlostaRepresenting the abandoned wind loss caused by the capacity limit of the transmission line from the high-voltage side of the central substation to the access point of the power system;
Glostiand GlostaExpressed as a mathematical function:
Figure FDA0002895788560000024
Figure FDA0002895788560000025
wherein, tLiFor wind power plant i, the power output is higher than the capacity P of the power transmission lineLiThe duration of the force; piAnd (t) the output of the wind power plant i at the moment t.
2. The method for site selection and volume determination combined optimization of a wind farm group wind storage system according to claim 1, wherein in the step S2, the constraint conditions included in the objective function are as follows: capacity constraint of a delivery line of each wind power plant, capacity constraint of a delivery line of a wind power plant group, charge and discharge power constraint of an energy storage system, charge state balance constraint of the energy storage system, capacity constraint of the energy storage system and energy balance constraint of the energy storage system; wherein the content of the first and second substances,
(a) the capacity constraint of the wind power plant outgoing line and the capacity constraint of the wind power plant group outgoing line are expressed by mathematical functions as follows:
0≤P(t)≤Pline
0≤Pi(t)≤PLi
(b) the charge and discharge power constraint of the energy storage system is expressed by a mathematical function as follows:
|Pe(t)|≤Ce
(c) the state of charge balance constraint of the energy storage system is expressed by a mathematical function as follows:
SOC(t)＝SOC(t-1)+Pe(t)
wherein SOC (t) represents the state of charge of the energy storage system at time t;
(d) the capacity constraint of the energy storage system is expressed by a mathematical function as follows:
SOC(t)＜SOCmax
therein, SOCmaxRepresenting the maximum state of charge allowed by the energy storage system;
(e) the energy balance constraint of the energy storage system is expressed by a mathematical function as follows:
Figure FDA0002895788560000031
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