A wind, solar and storage configuration method and system for a pure new energy transmission base

Abstract

The present invention discloses a method and system for configuring wind, solar and storage for a pure new energy transmission base, the method comprising: constructing a planned transmission DC power curve for the pure new energy transmission base; constructing a new energy capacity configuration model for the pure new energy transmission base under a first probability scenario based on the planned transmission DC power curve; solving the new energy capacity configuration model to obtain the wind power configuration capacity and photovoltaic configuration capacity of the pure new energy transmission base under the first probability scenario; constructing a new energy storage charging and discharging behavior model for the pure new energy transmission base with the goal of minimizing the deviation between the new energy output of the pure new energy transmission base under a second probability scenario and the planned transmission DC power curve; solving the new energy storage charging and discharging behavior model to obtain a new energy storage configuration strategy for the pure new energy transmission base. The present invention can provide theoretical support for the wind and solar ratio and energy storage ratio strategies of the pure new energy transmission base and has practical application value.

Description

Technical Field

[0001] The present invention relates to the field of renewable energy power generation technology, and in particular to a wind, solar and storage configuration method and system for a pure renewable energy transmission base. Background Art

[0002] At present, many large wind and solar bases are being continuously optimized, reducing the proportion of supporting coal-fired power while ensuring the power supply capacity, and achieving high-proportion or pure new energy transmission. In the face of the future development of base transmission, the transmission will shift from the wind, solar and thermal mode to the pure new energy mode. In order to ensure that it can reliably supply power to the sending end according to the power plan, it is necessary to coordinate the actual needs of the sending and receiving ends, channel capacity and utilization, DC operation characteristics and economic factors, and scientifically formulate transmission power plans and supporting power storage solutions. Therefore, it is of great significance to scientifically and reasonably allocate wind and solar capacity and new energy storage for pure new energy transmission bases in the planning stage.

[0003] Faced with the problem of outbound transmission of bases equipped with wind, solar and storage, the existing technology uses an exhaustive method to calculate and compare each possible configuration scheme one by one. This method has some obvious defects: First, the amount of calculation is large; this method involves a lot of data processing work, because the configuration combination of wind, solar and storage is extremely complicated, and the number of combinations and arrangements between them is growing exponentially. Each combination requires detailed calculation of its index data under different working conditions, which requires a lot of time and computing resources. Second, the configuration schemes screened by humans lack theoretical support; human screening often relies on personal experience or limited cognition. This screening method cannot comprehensively and accurately evaluate the advantages and disadvantages of each scheme, and it is easy to ignore some potential key factors, resulting in the screened schemes being difficult to achieve the expected stable power supply effect in actual operation. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the present invention provides a wind, solar and storage configuration method and system for a pure new energy transmission base.

[0005] In a first aspect, an embodiment of the present invention provides a method for configuring wind, solar and storage in a pure new energy transmission base, including: With the goal of matching the net load demand of the receiving-end power grid of the pure new energy transmission base, a planned transmission DC power curve of the pure new energy transmission base is constructed, wherein the planned transmission DC power curve includes the planned transmission DC power for each preset period in a year; With the goal of minimizing the construction cost of the new energy station of the pure new energy transmission base, a new energy capacity configuration model of the pure new energy transmission base under a first probability scenario is constructed based on the planned transmission DC power curve, wherein the first probability scenario is a scenario in which the new energy output of the pure new energy transmission base reaches a first threshold, the occurrence probability of the first probability scenario is a second threshold, and the decision variables of the new energy capacity configuration model include wind power capacity and photovoltaic capacity; Solving the new energy capacity configuration model to obtain the wind power configuration capacity and photovoltaic configuration capacity of the pure new energy transmission base under the first probability scenario; With the goal of minimizing the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned transmission DC power curve, a new energy storage charging and discharging behavior model of the pure new energy transmission base is constructed, wherein the second probability scenario is a scenario in which the new energy output of the pure new energy transmission base is a minimum value, the occurrence probability of the second probability scenario is a third threshold value, and the decision variables of the new energy storage charging and discharging behavior model include new energy storage discharge power and new energy storage charging power; The new energy storage charging and discharging behavior model is solved to obtain the new energy storage configuration strategy of the pure new energy transmission base, wherein the new energy storage configuration strategy includes the optimal new energy storage capacity, the optimal new energy storage discharge power and the optimal new energy storage continuous discharge time.

[0006] Preferably, the planned DC power transmission curve of the pure new energy transmission base is constructed with the goal of matching the net load demand of the receiving-end power grid of the pure new energy transmission base, including: Based on minimizing the deviation between the planned DC power transmission of the pure new energy transmission base and the net load demand of the receiving power grid, the planned DC power transmission curve of the pure new energy transmission base is obtained, wherein the planned DC power transmission curve is characterized by the following formula: in, It represents the planned DC power curve. It represents the planned DC power delivered in the tth preset period in a year. It represents the net load demand of the receiving power grid in the tth preset period in a year, Represents the preset number of periods in a year.

[0007] Preferably, the method of obtaining the planned DC power transmission curve of the pure renewable energy transmission base based on minimizing the deviation between the planned DC power transmission of the pure renewable energy transmission base and the net load demand of the receiving power grid includes: Based on minimizing the deviation between the planned DC power transmission of the pure renewable energy transmission base and the net load demand of the receiving power grid and combining the first constraint condition, the planned DC power transmission curve of the pure renewable energy transmission base is obtained, wherein the first constraint condition is to constrain the planned DC power transmission curve, which includes the constraint condition on the number of DC power transmission adjustments during the day, the DC power transmission constraint condition at the beginning and end of the day, and the DC power transmission upper limit constraint condition.

[0008] Preferably, the goal of minimizing the construction cost of the new energy station of the pure new energy transmission base is to construct a new energy capacity configuration model of the pure new energy transmission base under the first probability scenario based on the planned transmission DC power curve, including: Acquire the new energy output data of the pure new energy export base, analyze the new energy output data to obtain a scenario set, and simplify the scenario set to obtain a typical scenario set, wherein the typical scenario set includes several probability scenarios, the probability scenario is a scenario in which the new energy output of the pure new energy export base reaches a corresponding threshold, the sum of the occurrence probabilities of all the probability scenarios is 1, and the first probability scenario is the scenario with the highest probability of occurrence in the typical scenario set; A second constraint condition is constructed with the goal that the new energy output of the pure new energy transmission base in the first probability scenario in the typical scenario set completely covers the planned transmission DC power curve, wherein the second constraint condition includes a new energy output lower limit constraint condition in the first probability scenario and a new energy utilization rate constraint condition in the first probability scenario; Based on minimizing the construction cost of the new energy station of the pure new energy transmission base and combining the second constraint condition, a new energy capacity configuration model of the pure new energy transmission base under the first probability scenario is obtained, wherein the second constraint condition is to constrain the new energy capacity configuration model, and the new energy capacity configuration model is characterized by the following formula: in, represents the objective function of the new energy capacity configuration model, represents the average construction cost of photovoltaic power stations in pure new energy transmission bases, Represents the capacity of photovoltaic power stations in pure new energy transmission bases, represents the average construction cost of wind farms in pure renewable energy transmission bases, It represents the capacity of wind farms in pure renewable energy transmission bases.

[0009] Preferably, solving the new energy capacity configuration model to obtain the wind power configuration capacity and photovoltaic configuration capacity of the pure new energy transmission base under the first probability scenario includes: The new energy capacity configuration model is solved. When the new energy capacity configuration model has no solution, the maximum open capacity of the wind farm station of the pure new energy transmission base under the first probability scenario is determined as the wind power configuration capacity, and the maximum open capacity of the photovoltaic power station of the pure new energy transmission base under the first probability scenario is determined as the photovoltaic configuration capacity.

[0010] Preferably, the method of constructing a new energy storage charging and discharging behavior model of the pure new energy transmission base with the goal of minimizing the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned DC power curve for transmission includes: Based on minimizing the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned DC power curve for transmission and combining the third constraint condition, a new energy storage charging and discharging behavior model of the pure new energy transmission base is obtained, wherein the third constraint condition is to constrain the new energy storage charging and discharging behavior model, which includes a new energy storage charging and discharging power constraint condition, and the new energy storage charging and discharging behavior model is characterized by the following formula: in, represents the objective function of the new energy storage charging and discharging behavior model, It represents the DC power shortfall value of the t-th preset period in a year. represents the discharge power of the new energy storage at the tth preset period in a year, It represents the DC power surplus value of the t-th preset period in a year. represents the charging power of the new energy storage at the tth preset period in a year, Represents the preset number of periods in a year.

[0011] Preferably, the external DC power gap value is calculated using the following formula: in, It represents the DC power shortfall value of the t-th preset period in a year. represents the new energy output of the pure new energy delivery base in the t-th preset period within a year under the second probability scenario, It represents the planned DC power delivered in the tth preset period in a year; The external DC power surplus value is calculated using the following formula: in, It indicates the surplus value of DC power delivered in the tth preset period in a year.

[0012] Preferably, solving the new energy storage charging and discharging behavior model to obtain the new energy storage configuration strategy of the pure new energy export base includes: Based on the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned transmission DC power curve, determine a new energy storage capacity configuration strategy set and a new energy storage discharge power configuration strategy set, wherein the new energy storage capacity configuration strategy set includes several new energy storage capacity configuration strategies, and the new energy storage discharge power configuration strategy set includes several new energy storage discharge power configuration strategies; Based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, the new energy storage charge and discharge behavior model is cyclically iterated and solved to obtain a new energy storage discharge power demand boundary corresponding to each of the new energy storage capacity configuration strategies to form a new energy storage discharge power demand curve, wherein the new energy storage discharge power demand boundary is obtained by iteratively solving the new energy storage charge and discharge behavior model based on the corresponding new energy storage capacity configuration strategy and each of the new energy storage discharge power configuration strategies; Based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, the new energy storage charge and discharge behavior model is cyclically iterated and solved to obtain a new energy storage capacity demand boundary corresponding to each of the new energy storage discharge power configuration strategies to form a new energy storage capacity demand curve, wherein the new energy storage capacity demand boundary is obtained by iteratively solving the new energy storage charge and discharge behavior model based on the corresponding new energy storage discharge power configuration strategy and each of the new energy storage capacity configuration strategies; Based on the intersection of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, the optimal new energy storage capacity, the optimal new energy storage discharge power and the optimal new energy storage continuous discharge time of the pure new energy transmission base are determined, wherein the optimal new energy storage continuous discharge time is the ratio of the optimal new energy storage capacity to the optimal new energy storage discharge power.

[0013] In a second aspect, an embodiment of the present invention provides a wind, solar and storage configuration system for a pure new energy transmission base, including: A power curve construction module is used to construct a planned DC power curve of the pure new energy transmission base with the goal of matching the net load demand of the receiving-end power grid of the pure new energy transmission base, wherein the planned DC power curve includes the planned DC power of each preset period in a year; A first model building module is used to build a new energy capacity configuration model of the pure new energy transmission base under a first probability scenario based on the planned DC power transmission curve with the goal of minimizing the construction cost of the new energy site of the pure new energy transmission base, wherein the first probability scenario is a scenario in which the new energy output of the pure new energy transmission base reaches a first threshold, the occurrence probability of the first probability scenario is a second threshold, and the decision variables of the new energy capacity configuration model include wind power capacity and photovoltaic capacity; A first model solving module is used to solve the new energy capacity configuration model to obtain the wind power configuration capacity and photovoltaic configuration capacity of the pure new energy transmission base under the first probability scenario; A second model building module is used to build a new energy storage charging and discharging behavior model of the pure new energy transmission base with the goal of minimizing the deviation between the new energy output of the pure new energy transmission base in a second probability scenario and the planned DC power curve for transmission, wherein the second probability scenario is a scenario in which the new energy output of the pure new energy transmission base is a minimum value, the occurrence probability of the second probability scenario is a third threshold value, and the decision variables of the new energy storage charging and discharging behavior model include new energy storage discharge power and new energy storage charging power; The second model solving module is used to solve the new energy storage charging and discharging behavior model to obtain the new energy storage configuration strategy of the pure new energy transmission base, wherein the new energy storage configuration strategy includes the optimal new energy storage capacity, the optimal new energy storage discharge power and the optimal new energy storage continuous discharge time.

[0014] Preferably, the second model solving module comprises: A first energy storage configuration unit is used to determine a new energy storage capacity configuration strategy set and a new energy storage discharge power configuration strategy set based on the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned transmission DC power curve, wherein the new energy storage capacity configuration strategy set includes several new energy storage capacity configuration strategies, and the new energy storage discharge power configuration strategy set includes several new energy storage discharge power configuration strategies; A first demand curve construction unit is used to perform cyclic iterative solution on the new energy storage charging and discharging behavior model based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, and obtain a new energy storage discharge power demand boundary corresponding to each of the new energy storage capacity configuration strategies to form a new energy storage discharge power demand curve, wherein the new energy storage discharge power demand boundary is obtained by iteratively solving the new energy storage charging and discharging behavior model based on the corresponding new energy storage capacity configuration strategy and each of the new energy storage discharge power configuration strategies; A second demand curve construction unit is used to perform cyclic iterative solution on the new energy storage charging and discharging behavior model based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, and obtain a new energy storage capacity demand boundary corresponding to each of the new energy storage discharge power configuration strategies to form a new energy storage capacity demand curve, wherein the new energy storage capacity demand boundary is obtained by iteratively solving the new energy storage charging and discharging behavior model based on the corresponding new energy storage discharge power configuration strategy and each of the new energy storage capacity configuration strategies; The second energy storage configuration unit is used to determine the optimal new energy storage capacity, optimal new energy storage discharge power and optimal new energy storage continuous discharge time of the pure new energy transmission base based on the intersection of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, wherein the optimal new energy storage continuous discharge time is the ratio of the optimal new energy storage capacity to the optimal new energy storage discharge power.

[0015] Compared with the prior art, the wind, solar and storage configuration method and system of a pure new energy transmission base in the embodiment of the present invention have the following beneficial effects: constructing a planned transmission DC power curve can meet the actual electricity demand of the receiving power grid and provide an effective basis for the subsequent wind, solar and storage planning and configuration; first clarifying the wind and solar optimization configuration strategy under the probability scenario, and scientifically analyzing the impact of new energy storage on the power gap of the pure new energy transmission base under the probability scenario with the worst wind and solar output, which can solve the problem of difficulty in tracking the planned transmission DC power curve of the pure new energy transmission base with wind and solar output while meeting the economic efficiency; based on the new energy storage charging and discharging behavior model and combined with the cyclic iteration method, the demand boundary of the pure new energy transmission base for energy storage is characterized, which can quantify and intuitively reflect the impact of three important parameters of new energy storage capacity, discharge power and continuous discharge time on the supply and demand situation of the pure new energy transmission base; the configuration method proposed in the present invention can provide theoretical support for the wind and solar ratio and energy storage ratio strategies of the pure new energy transmission base and has practical application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a structural schematic diagram of a pure new energy export base model according to an embodiment of the present invention; Figure 2 It is a flow chart of a method for configuring wind, solar and storage in a pure new energy transmission base according to an embodiment of the present invention; Figure 3 Schematic diagram of a planned outbound DC power curve of a base in a typical day according to an embodiment of the present invention; Figure 4 is a schematic diagram of a process for constructing a new energy capacity configuration model according to an embodiment of the present invention; Figure 5 This is a schematic diagram of a typical daytime wind and solar configuration effect in a first probability scenario according to an embodiment of the present invention; Figure 6 This is a schematic diagram of another wind-solar configuration effect in a typical day under the first probability scenario of an embodiment of the present invention; Figure 7 It is a schematic diagram of a process for obtaining a novel energy storage configuration strategy according to an embodiment of the present invention; Figure 8 This is a schematic diagram of base storage requirements according to an embodiment of the present invention; Fig. 9 This is a structural schematic diagram of a wind, solar and storage configuration system for a pure new energy transmission base according to an embodiment of the present invention; Fig.10 It is a structural diagram of the second model solving module of an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0018] In the description of the present invention, it should be understood that the terms "first" and "second" etc. are used in the present invention to distinguish different objects rather than to describe a specific order.

[0019] In the description of the present invention, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood by specific circumstances.

[0020] like Figure 1 As shown in the figure, it is a structural diagram of the pure renewable energy transmission base model. The pure renewable energy transmission base model includes photovoltaic and wind power, DC channels, receiving-end power grids and new energy storage. For the sake of simplicity, the term "base" will be used instead of "pure renewable energy transmission base" for subsequent descriptions.

[0021] In order to ensure reliable and continuous power transmission at the base, the actual needs of the transmitting and receiving ends are generally coordinated, the DC rated power and voltage level are clarified, and then a planned DC power curve is formulated, and the base is required to configure new energy + new energy storage to effectively deal with the uncertainty and intermittency of new energy output. Reasonable scheduling and configuration of new energy storage can solve the deviation between the base's power curve and the planned DC power curve, achieve stable and continuous power supply to the receiving end power grid, and improve the ability to absorb new energy.

[0022] like Figure 2 As shown, an embodiment of the present invention provides a method for configuring wind, solar and storage in a pure new energy transmission base, including the steps of: S1. To match the net load demand of the receiving power grid of the pure renewable energy transmission base, a planned DC power curve for transmission of the pure renewable energy transmission base is constructed; Specifically, based on minimizing the deviation between the planned DC power transmission of the pure renewable energy transmission base and the net load demand of the receiving power grid, the planned DC power transmission curve of the pure renewable energy transmission base is obtained. The planned DC power transmission curve includes the planned DC power transmission for each preset period of a year, and the following formula is used to characterize the planned DC power transmission curve: in, It represents the planned DC power curve. It represents the planned DC power delivered in the tth preset period in a year. It represents the net load demand of the receiving power grid in the tth preset period in a year, Represents the preset number of periods in a year.

[0023] Furthermore, based on minimizing the deviation between the planned DC power transmission of the pure renewable energy transmission base and the net load demand of the receiving power grid and combining the first constraint condition, a planned DC power transmission curve of the pure renewable energy transmission base is obtained.

[0024] The first constraint condition is to constrain the planned DC power transmission curve, which includes the constraint condition of the number of DC power transmission adjustment times during the day, the DC power transmission constraints at the beginning and end of the day, and the upper limit constraint condition of the DC power transmission.

[0025] The first constraint condition is described in detail below: 1) Constraints on the number of DC power adjustments during the day DC transmission usually adopts a multi-stage operation mode. In order to ensure the safe and stable operation of the DC channel, this embodiment limits the DC power adjustment to no more than 6 times a day. Specifically, the following formula is used to characterize the constraint condition of the number of DC power adjustments for transmission per day: in, Represents a Boolean variable. When it is 0, it means to keep the original power transmission state. When it is 1, it means to adjust the original power transmission state. Indicates the number of preset time periods in a day.

[0026] 2) External DC power switching constraints in, It represents the planned DC power delivered in the t-1th preset period in a year, and M represents a sufficiently large positive number.

[0027] 3) Constraints on DC power transmission at the beginning and end of the day The power at the end of the i-th day is consistent with the power at the beginning of the i+1-th day, making the planned DC power curve more continuous. Specifically, the following formula is used to represent the DC power constraints at the beginning and end of the day: in, It represents the DC power delivered at the end of the i-th day. Indicates the DC power delivered at the beginning of the i+1th day.

[0028] 4) Constraints on the upper limit of DC power transmission in, Indicates the rated power of the DC channel. This embodiment has been clarified before determining the wind-solar ratio and storage requirements. This condition can ensure that the DC power is within the rated power range of the DC channel.

[0029] 5) The annual utilization hours of the planned DC power transmission curve within the year are required to be reasonable. The following formula is used to represent this constraint: in, Indicates the time interval, i.e., the preset period, which is 1 hour in this embodiment; It represents the reasonable annual utilization hours of the DC channel, which is 4500 hours or 5000 hours in this embodiment.

[0030] For the formulation of the planned DC power curve, the landing area, DC voltage level and DC channel rated power should be clarified first, and the actual net load demand of the receiving power grid should be further analyzed to make the planned DC power curve meet the actual net load demand of the receiving power grid as much as possible. The objective function is to make the planned DC power curve for external transmission as close to the net load demand of the receiving power grid as possible, and to construct the planned DC power curve for external transmission in combination with the first constraint. It should be noted that there must be a deviation between the planned DC power curve for external transmission obtained in step S1 and the net load demand of the receiving power grid, which can be further balanced by the adjustable resources of the receiving power grid. Figure 3 This is the planned DC power curve for the base on a typical day, where the rated power of the DC channel is 8000MW.

[0031] S2. With the goal of minimizing the construction cost of new energy stations for pure new energy transmission bases, a new energy capacity configuration model for pure new energy transmission bases under the first probability scenario is constructed based on the planned transmission DC power curve; As for the power configuration of the base, considering that the unit cost of energy storage is still at a high level, it is possible to give priority to optimizing the wind-solar ratio to meet the planned DC power curve, and further solve the problem of power abandonment or power shortage caused by the uncertainty of wind and solar output by configuring energy storage. The uncertainty of wind and solar output can be solved through uncertainty optimization methods.

[0032] Specifically, Figure 4 As shown, step S2 includes: S201, obtaining new energy output data of a pure new energy transmission base, analyzing the new energy output data to obtain a scenario set, and simplifying the scenario set to obtain a typical scenario set; The typical scenario set includes several probability scenarios, where the new energy output of the pure new energy transmission base reaches the corresponding threshold, the sum of the occurrence probabilities of all probability scenarios is 1, and the first probability scenario is the scenario with the highest probability of occurrence in the typical scenario set. This embodiment uses a generative network to model the uncertainty of wind and solar output and obtain a scenario set.

[0033] S202, constructing a second constraint condition with the goal of fully covering the planned DC power curve of the pure new energy transmission base in the first probability scenario of the typical scenario set with the new energy output; The second constraint condition includes the lower limit constraint condition of new energy output under the first probability scenario and the new energy utilization rate constraint condition under the first probability scenario. Among them, the first probability scenario is the scenario where the new energy output of the pure new energy transmission base reaches the first threshold, and the occurrence probability of the first probability scenario is the second threshold.

[0034] The second constraint is described in detail below: 1) Wind and solar power output constraints in, Represents the capacity of photovoltaic power stations in pure new energy transmission bases, Indicates the capacity of wind farms in pure renewable energy transmission bases, It indicates that the photovoltaic power station capacity can be developed in the vicinity of the base. Indicates the capacity of wind farms that can be developed near the base. represents the photovoltaic output under the first probability scenario, represents the wind power output under the first probability scenario, represents the photovoltaic output characteristic curve near the base under the first probability scenario, It represents the wind power output characteristic curve near the base under the first probability scenario.

[0035] 2) Lower limit constraints on new energy output under the first probability scenario Among them, there are: in, Indicates the base's renewable energy output under the first probability scenario. This condition ensures that the base's renewable energy output can cover the planned DC power curve.

[0036] 3) Constraints on the utilization rate of new energy under the first probability scenario Among them, this embodiment Taking 90% as an example, considering the pure new energy export, the value can be further reduced. This condition can ensure the utilization rate of new energy.

[0037] S203. Based on minimizing the construction cost of the new energy station of the pure new energy transmission base and combining the second constraint condition, a new energy capacity configuration model of the pure new energy transmission base under the first probability scenario is obtained.

[0038] The second constraint condition is to constrain the new energy capacity configuration model. The decision variables of the new energy capacity configuration model include wind power capacity and photovoltaic capacity.

[0039] Specifically, the following formula is used to characterize the new energy capacity configuration model: in, represents the objective function of the new energy capacity configuration model, represents the average construction cost of photovoltaic power stations in pure new energy transmission bases, Represents the capacity of photovoltaic power stations in pure new energy transmission bases, represents the average construction cost of wind farms in pure renewable energy transmission bases, It represents the capacity of wind farms in pure renewable energy transmission bases.

[0040] S3. Solve the new energy capacity configuration model to obtain the wind power configuration capacity and photovoltaic configuration capacity of the pure new energy transmission base under the first probability scenario; The new energy capacity configuration model is solved. When the new energy capacity configuration model has no solution, the maximum open capacity of the wind farm station of the pure new energy transmission base under the first probability scenario is determined as the wind power configuration capacity, and the maximum open capacity of the photovoltaic power station of the pure new energy transmission base under the first probability scenario is determined as the photovoltaic configuration capacity.

[0041] It should be noted that the new energy capacity configuration model is limited by the resources in the vicinity of the base, which may lead to no solution, that is, in the first probability scenario, the base cannot meet the planned DC power curve through pure new energy transmission. In this case, the maximum open capacity configuration of wind and solar is taken, that is, , Take the maximum value.

[0042] Figure 5 This is a schematic diagram of the effect of wind-solar configuration in a typical day under the first probability scenario. Under the condition that it is not affected by the resource limitations in the vicinity of the base, the wind-solar output can completely cover the planned DC power curve for transmission. Figure 6 This is a schematic diagram of the effect of wind-solar configuration in a typical day under the first probability scenario. Under the condition of being affected by the resource limitations in the vicinity of the base, there is a deviation between the wind-solar output and the planned DC power curve after the maximum open capacity of wind-solar in the vicinity of the base is configured.

[0043] S4. To minimize the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned DC power curve for transmission, a new energy storage charging and discharging behavior model for the pure new energy transmission base is constructed; Although the power configuration strategy that can meet the planned DC power curve for external transmission is obtained through optimization configuration solution in steps S2-S3 under the first probability scenario, there is still a deviation between the new energy output and the planned DC power curve for external transmission under the 1-second threshold probability scenario. This can be solved by configuring new energy storage to achieve pure new energy transmission from the base.

[0044] Specifically, based on minimizing the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned DC power curve for transmission and combining the third constraint condition, a new energy storage charging and discharging behavior model of the pure new energy transmission base is obtained. Among them, the second probability scenario is a scenario in which the new energy output of the pure new energy transmission base is the minimum value, and the probability of occurrence of the second probability scenario is the third threshold. In other words, the second probability scenario is the worst probability scenario. It can be understood that both the first probability scenario and the second probability scenario belong to the typical scenario set. The third constraint condition is to constrain the new energy storage charging and discharging behavior model, which includes a new energy storage charging and discharging power constraint condition.

[0045] This embodiment uses electrochemical energy storage (EES) as a new type of energy storage. The third constraint condition is specifically described below: 1) EES charging and discharging power constraints in, represents the charging power of the i-th EES in period t, represents the discharge power of the ith EES in period t, represents the upper limit of charging power of the i-th EES in period t, represents the upper limit of the discharge power of the ith EES in period t, Represents a Boolean variable, which ensures that the EES charging and discharging behaviors do not occur simultaneously within the time period t during the optimization problem solving process.

[0046] 2) EES equation of state in, represents the battery status of the i-th EES at time period t, represents the maximum value allowed by the battery status of the i-th EES, represents the minimum value allowed for the battery status of the i-th EES, represents the charging and discharging efficiency of the i-th EES, Indicates the leakage coefficient, that is, the percentage of power lost in a period of time. represents the capacity of the i-th EES, represents the battery status of the i-th EES in the time period, Represents the initial battery status of the i-th EES.

[0047] 3) New energy storage charging and discharging power constraints Among them, there are: in, represents the charging power of the new energy storage at the tth preset period in a year, represents the discharge power of the new energy storage at the tth preset period in a year, It represents the DC power shortfall value of the t-th preset period in a year. It represents the surplus value of DC power transmission in the tth preset period in a year. This condition can ensure that the charging power of EES in period t will not exceed the power surplus of the base DC transmission system, and can also ensure that the discharge power of EES in period t will not exceed the power demand of the base DC transmission system.

[0048] Furthermore, the decision variables of the new energy storage charging and discharging behavior model include the new energy storage discharging power and the new energy storage charging power. The following formula is used to characterize the new energy storage charging and discharging behavior model: in, represents the objective function of the new energy storage charging and discharging behavior model, It represents the DC power shortfall value of the t-th preset period in a year. represents the discharge power of the new energy storage at the tth preset period in a year, It represents the DC power surplus value of the t-th preset period in a year. represents the charging power of the new energy storage at the tth preset period in a year, Represents the preset number of periods in a year.

[0049] Furthermore, the DC power gap value is calculated using the following formula: in, It represents the DC power shortfall value of the t-th preset period in a year. represents the new energy output of the pure new energy delivery base in the t-th preset period within a year under the second probability scenario, It represents the planned DC power delivered in the tth preset period in a year; The following formula is used to calculate the surplus value of the DC power transmitted: in, It indicates the surplus value of DC power delivered in the tth preset period in a year.

[0050] S5. Solve the new energy storage charging and discharging behavior model to obtain a new energy storage configuration strategy for the pure new energy transmission base.

[0051] The present invention combines a cyclic iterative calculation method to obtain the impact of a new energy storage configuration strategy on the supply and demand situation of a base external DC transmission system, and further clarifies the configuration of the new energy storage strategy.

[0052] Specifically, Figure 7 As shown, step S5 includes: S501, determining a new energy storage capacity configuration strategy set and a new energy storage discharge power configuration strategy set based on the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned transmission DC power curve; The new energy storage capacity configuration strategy set includes several new energy storage capacity configuration strategies, and the new energy storage discharge power configuration strategy set includes several new energy storage discharge power configuration strategies. In this embodiment, the EES capacity iteration number is configured as 1..., m, ...M, and the EES discharge power iteration number is configured as 1..., k, ...K, that is, a total of M×K groups of configuration strategies are set. It should be noted that the more iterations are set, the smaller the iteration steps, and the more accurate the calculation results, but the amount of calculation is increased, affecting the calculation efficiency.

[0053] S502, based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, the new energy storage charging and discharging behavior model is solved iteratively to obtain the new energy storage discharge power demand boundary corresponding to each new energy storage capacity configuration strategy to form a new energy storage discharge power demand curve; The new energy storage discharge power demand boundary is obtained by iteratively solving the new energy storage charging and discharging behavior model based on the corresponding new energy storage capacity configuration strategy and each new energy storage discharge power configuration strategy.

[0054] The process of constructing a new energy storage power demand curve in this embodiment is described in detail below: Under the mth EES capacity configuration strategy, the evaluation index under the kth EES discharge power configuration strategy is calculated by solving the new energy storage charging and discharging behavior model. .when When the first criterion is met, the EES discharge power demand boundary under the mth EES capacity configuration strategy can be obtained: Furthermore, through cyclic iteration, the EES discharge power demand boundary under a total of M groups of EES capacity configuration strategies can be obtained, thereby forming an EES discharge power demand curve.

[0055] Specifically, the following formula is used to characterize the first criterion: or in, Represents a sufficiently small positive number.

[0056] S503, based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, the new energy storage charging and discharging behavior model is solved iteratively to obtain the new energy storage capacity demand boundary corresponding to each new energy storage discharge power configuration strategy to form a new energy storage capacity demand curve; The new energy storage capacity demand boundary is obtained by iteratively solving the new energy storage charging and discharging behavior model based on the corresponding new energy storage discharge power configuration strategy and each new energy storage capacity configuration strategy.

[0057] The process of constructing a new energy storage capacity demand curve in this embodiment is described in detail below: Under the kth EES discharge power configuration strategy, the evaluation index under the mth EES capacity configuration strategy is calculated by solving the new energy storage charging and discharging behavior model. .when When the second criterion is met, the EES capacity demand boundary under the kth EES discharge power configuration strategy can be obtained: Furthermore, through cyclic iteration, the EES capacity demand boundary under the K groups of EES discharge power configuration strategies can be obtained, thereby forming an EES capacity demand curve.

[0058] Specifically, the second criterion is characterized by the following formula: or in, Represents a sufficiently small positive number.

[0059] It should be noted that the evaluation indicators in step S502 and step S503 are calculated using the following formula: in, It is the new energy storage discharge power obtained by solving the new energy storage charging and discharging behavior model.

[0060] S504. Based on the intersection of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, determine the optimal new energy storage capacity, optimal new energy storage discharge power and optimal new energy storage continuous discharge time of the pure new energy transmission base.

[0061] In the M×K group EES capacity and discharge power configuration strategy of this embodiment, at least one energy storage ratio strategy can be obtained whose EES capacity and discharge power configuration parameters just meet the power supply demand of the base external DC system, that is, the intersection result of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, and the intersection result is defined as a new energy storage configuration strategy that meets the power supply demand of the base external DC system. The new energy storage configuration strategy includes the optimal new energy storage capacity, the optimal new energy storage discharge power, and the optimal new energy storage continuous discharge time. Among them, the optimal new energy storage continuous discharge time is the ratio of the optimal new energy storage capacity to the optimal new energy storage discharge power. It can be understood that the optimal new energy storage capacity is the minimum new energy storage capacity, the optimal new energy storage discharge power is the minimum new energy storage discharge power, and the optimal new energy storage continuous discharge time is the maximum new energy storage continuous discharge time.

[0062] Figure 8The figure is a schematic diagram of the base storage demand. If the new energy storage configuration strategy is outside the closed curve, it means that the configuration strategy exceeds the base storage demand boundary, and the configured capacity or discharge power is redundant. The black dot represents the intersection of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, that is, the minimum new energy storage capacity and the minimum new energy storage discharge power configuration strategy required to meet the power supply demand of the base external DC system. The dotted line slope represents the continuous discharge time of the new energy storage in the new energy storage configuration strategy, but it is not the optimal continuous discharge time of the new energy storage. The slope at the intersection result is the optimal continuous discharge time of the new energy storage in the new energy storage configuration strategy.

[0063] The embodiment of the present invention provides a method for configuring wind, solar and storage in a pure new energy transmission base, which constructs a planned transmission DC power curve, can meet the actual electricity demand of the receiving power grid and provide an effective basis for the subsequent planning and configuration of wind, solar and storage; first, the wind and solar optimization configuration strategy under the probability scenario is clarified, and at the same time, the impact of new energy storage on the power gap of the pure new energy transmission base is scientifically analyzed under the probability scenario with the worst wind and solar output, which can solve the problem of the difficulty of the wind and solar output of the pure new energy transmission base in tracking the planned transmission DC power curve while meeting the economic efficiency; based on the new energy storage charging and discharging behavior model and combined with the cyclic iteration method, the demand boundary of the pure new energy transmission base for energy storage is characterized, which can quantify and intuitively reflect the impact of three important parameters of new energy storage capacity, discharge power and continuous discharge time on the supply and demand situation of the pure new energy transmission base; the configuration method proposed in the present invention can provide theoretical support for the wind and solar ratio and energy storage ratio strategies of the pure new energy transmission base and has practical application value.

[0064] Based on the above-mentioned wind, solar and storage configuration method for a pure new energy transmission base, Fig. 9 As shown, an embodiment of the present invention provides a wind, solar and storage configuration system for a pure new energy transmission base, including: The power curve construction module 1 is used to construct a planned DC power curve of the pure renewable energy transmission base with the goal of matching the net load demand of the receiving power grid of the pure renewable energy transmission base, wherein the planned DC power curve includes the planned DC power of each preset period in a year; The first model building module 2 is used to build a new energy capacity configuration model of the pure new energy transmission base under the first probability scenario based on the planned transmission DC power curve with the goal of minimizing the construction cost of the new energy site of the pure new energy transmission base, wherein the first probability scenario is a scenario in which the new energy output of the pure new energy transmission base reaches a first threshold, the occurrence probability of the first probability scenario is a second threshold, and the decision variables of the new energy capacity configuration model include wind power capacity and photovoltaic capacity; The first model solving module 3 is used to solve the new energy capacity configuration model to obtain the wind power configuration capacity and photovoltaic configuration capacity of the pure new energy transmission base under the first probability scenario; The second model building module 4 is used to build a new energy storage charging and discharging behavior model of the pure new energy transmission base with the goal of minimizing the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned transmission DC power curve, wherein the second probability scenario is a scenario in which the new energy output of the pure new energy transmission base is the minimum value, the occurrence probability of the second probability scenario is the third threshold value, and the decision variables of the new energy storage charging and discharging behavior model include the new energy storage discharge power and the new energy storage charging power; The second model solving module 5 is used to solve the new energy storage charging and discharging behavior model to obtain the new energy storage configuration strategy of the pure new energy transmission base, wherein the new energy storage configuration strategy includes the optimal new energy storage capacity, the optimal new energy storage discharge power and the optimal new energy storage continuous discharge time.

[0065] Specifically, Fig.10 As shown, the second model solving module 5 includes: The first energy storage configuration unit 51 is used to determine a new energy storage capacity configuration strategy set and a new energy storage discharge power configuration strategy set based on the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned transmission DC power curve, wherein the new energy storage capacity configuration strategy set includes several new energy storage capacity configuration strategies, and the new energy storage discharge power configuration strategy set includes several new energy storage discharge power configuration strategies; A first demand curve construction unit 52 is used to perform cyclic iterative solution on the new energy storage charging and discharging behavior model based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, and obtain the new energy storage discharge power demand boundary corresponding to each new energy storage capacity configuration strategy to form a new energy storage discharge power demand curve, wherein the new energy storage discharge power demand boundary is obtained by iteratively solving the new energy storage charging and discharging behavior model based on the corresponding new energy storage capacity configuration strategy and each new energy storage discharge power configuration strategy; A second demand curve construction unit 53 is used to perform cyclic iterative solution on the new energy storage charging and discharging behavior model based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, and obtain the new energy storage capacity demand boundary corresponding to each new energy storage discharge power configuration strategy to form a new energy storage capacity demand curve, wherein the new energy storage capacity demand boundary is obtained by iteratively solving the new energy storage charging and discharging behavior model based on the corresponding new energy storage discharge power configuration strategy and each new energy storage capacity configuration strategy; The second energy storage configuration unit 54 is used to determine the optimal new energy storage capacity, the optimal new energy storage discharge power and the optimal new energy storage continuous discharge time of the pure new energy transmission base based on the intersection of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, wherein the optimal new energy storage continuous discharge time is the ratio of the optimal new energy storage capacity to the optimal new energy storage discharge power.

[0066] It should be noted that each module in the above-mentioned wind, solar, and storage configuration system of a pure new energy transmission base can be fully or partially implemented through software, hardware, and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules. For the specific definition of a wind, solar, and storage configuration system for a pure new energy transmission base, please refer to the definition of a wind, solar, and storage configuration method for a pure new energy transmission base above. The two have the same functions and effects, which will not be repeated here.

[0067] In summary, the embodiment of the present invention provides a method and system for configuring wind, solar and storage for a pure new energy transmission base, which constructs a planned transmission DC power curve, can meet the actual electricity demand of the receiving power grid and provide an effective basis for the subsequent planning and configuration of wind, solar and storage; first, the wind and solar optimization configuration strategy under the probabilistic scenario is clarified, and at the same time, the impact of the new energy storage on the power gap of the pure new energy transmission base is scientifically analyzed under the probabilistic scenario with the worst wind and solar output, which can solve the problem of the difficulty of the wind and solar output of the pure new energy transmission base in tracking the planned transmission DC power curve while meeting the economic efficiency; based on the new energy storage charging and discharging behavior model and combined with the cyclic iteration method, the demand boundary of the pure new energy transmission base for energy storage is characterized, which can quantify and intuitively reflect the impact of three important parameters of new energy storage capacity, discharge power and continuous discharge time on the supply and demand situation of the pure new energy transmission base; the configuration method proposed in the present invention can provide theoretical support for the wind and solar ratio and energy storage ratio strategies of the pure new energy transmission base and has practical application value.

[0068] Each embodiment in this specification is described in a progressive manner, and the same or similar parts of each embodiment can be directly referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. It should be noted that the technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0069] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention. These improvements and substitutions should also be regarded as the scope of protection of the present invention.

Claims

1. A method for configuring wind, solar and storage for a pure new energy transmission base, characterized in that: include: With the goal of matching the net load demand of the receiving-end power grid of the pure new energy transmission base, a planned transmission DC power curve of the pure new energy transmission base is constructed, wherein the planned transmission DC power curve includes the planned transmission DC power for each preset period in a year; With the goal of minimizing the construction cost of the new energy station of the pure new energy transmission base, a new energy capacity configuration model of the pure new energy transmission base under a first probability scenario is constructed based on the planned transmission DC power curve, wherein the first probability scenario is a scenario in which the new energy output of the pure new energy transmission base reaches a first threshold, the occurrence probability of the first probability scenario is a second threshold, and the decision variables of the new energy capacity configuration model include wind power capacity and photovoltaic capacity; Solving the new energy capacity configuration model to obtain the wind power configuration capacity and photovoltaic configuration capacity of the pure new energy transmission base under the first probability scenario; With the goal of minimizing the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned transmission DC power curve, a new energy storage charging and discharging behavior model of the pure new energy transmission base is constructed, wherein the second probability scenario is a scenario in which the new energy output of the pure new energy transmission base is a minimum value, the occurrence probability of the second probability scenario is a third threshold value, and the decision variables of the new energy storage charging and discharging behavior model include new energy storage discharge power and new energy storage charging power; The new energy storage charging and discharging behavior model is solved to obtain the new energy storage configuration strategy of the pure new energy transmission base, wherein the new energy storage configuration strategy includes the optimal new energy storage capacity, the optimal new energy storage discharge power and the optimal new energy storage continuous discharge time.

2. The method for configuring wind, solar and storage for a pure new energy transmission base according to claim 1, characterized in that: The method of constructing a planned DC power transmission curve of the pure new energy transmission base with the goal of matching the net load demand of the receiving-end power grid of the pure new energy transmission base includes: Based on minimizing the deviation between the planned DC power transmission of the pure new energy transmission base and the net load demand of the receiving power grid, the planned DC power transmission curve of the pure new energy transmission base is obtained.

3. The method for configuring wind, solar and storage for a pure new energy transmission base according to claim 2 is characterized in that: The method of obtaining a planned DC power curve for the pure renewable energy transmission base based on minimizing the deviation between the planned DC power for transmission of the pure renewable energy transmission base and the net load demand of the receiving-end power grid comprises: Based on minimizing the deviation between the planned DC power transmission of the pure renewable energy transmission base and the net load demand of the receiving power grid and combining the first constraint condition, the planned DC power transmission curve of the pure renewable energy transmission base is obtained, wherein the first constraint condition is to constrain the planned DC power transmission curve, which includes the constraint condition on the number of DC power transmission adjustments during the day, the DC power transmission constraint condition at the beginning and end of the day, and the DC power transmission upper limit constraint condition.

4. The method for configuring wind, solar and storage for a pure new energy transmission base according to claim 1, characterized in that: The method aims to minimize the construction cost of the new energy station of the pure new energy transmission base, and constructs a new energy capacity configuration model of the pure new energy transmission base under the first probability scenario based on the planned transmission DC power curve, including: Acquire the new energy output data of the pure new energy export base, analyze the new energy output data to obtain a scenario set, and simplify the scenario set to obtain a typical scenario set, wherein the typical scenario set includes several probability scenarios, the probability scenario is a scenario in which the new energy output of the pure new energy export base reaches a corresponding threshold, the sum of the occurrence probabilities of all the probability scenarios is 1, and the first probability scenario is the scenario with the highest probability of occurrence in the typical scenario set; A second constraint condition is constructed with the goal that the new energy output of the pure new energy transmission base in the first probability scenario in the typical scenario set completely covers the planned transmission DC power curve, wherein the second constraint condition includes a new energy output lower limit constraint condition in the first probability scenario and a new energy utilization rate constraint condition in the first probability scenario; Based on minimizing the new energy station construction cost of the pure new energy transmission base and combining the second constraint condition, a new energy capacity configuration model of the pure new energy transmission base under the first probability scenario is obtained, wherein the second constraint condition is to constrain the new energy capacity configuration model.

5. The method for configuring wind, solar and storage for a pure new energy transmission base according to claim 1, characterized in that: The solving of the new energy capacity configuration model to obtain the wind power configuration capacity and photovoltaic configuration capacity of the pure new energy transmission base under the first probability scenario includes: The new energy capacity configuration model is solved. When the new energy capacity configuration model has no solution, the maximum open capacity of the wind farm station of the pure new energy transmission base under the first probability scenario is determined as the wind power configuration capacity, and the maximum open capacity of the photovoltaic power station of the pure new energy transmission base under the first probability scenario is determined as the photovoltaic configuration capacity.

6. The method for configuring wind, solar and storage for a pure new energy transmission base according to claim 1, characterized in that: The goal of minimizing the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned DC power curve for transmission is to construct a new energy storage charging and discharging behavior model of the pure new energy transmission base, including: Based on minimizing the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned transmission DC power curve and combining the third constraint condition, a new energy storage charging and discharging behavior model of the pure new energy transmission base is obtained, wherein the third constraint condition is to constrain the new energy storage charging and discharging behavior model, which includes a new energy storage charging and discharging power constraint condition.

7. The method for configuring wind, solar and storage for a pure new energy transmission base according to claim 6, characterized in that: The outgoing DC power gap value is calculated using the following formula: in, It represents the DC power shortfall value of the t-th preset period in a year. represents the new energy output of the pure new energy delivery base in the t-th preset period within a year under the second probability scenario, It represents the planned DC power delivered in the tth preset period in a year; The external DC power surplus value is calculated using the following formula: in, It indicates the surplus value of DC power delivered in the tth preset period in a year.

8. The method for configuring wind, solar and storage for a pure new energy transmission base according to claim 1, characterized in that: The new energy storage charging and discharging behavior model is solved to obtain the new energy storage configuration strategy of the pure new energy transmission base, including: Based on the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned transmission DC power curve, determine a new energy storage capacity configuration strategy set and a new energy storage discharge power configuration strategy set, wherein the new energy storage capacity configuration strategy set includes several new energy storage capacity configuration strategies, and the new energy storage discharge power configuration strategy set includes several new energy storage discharge power configuration strategies; Based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, the new energy storage charge and discharge behavior model is cyclically iterated and solved to obtain a new energy storage discharge power demand boundary corresponding to each of the new energy storage capacity configuration strategies to form a new energy storage discharge power demand curve, wherein the new energy storage discharge power demand boundary is obtained by iteratively solving the new energy storage charge and discharge behavior model based on the corresponding new energy storage capacity configuration strategy and each of the new energy storage discharge power configuration strategies; Based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, the new energy storage charge and discharge behavior model is cyclically iterated and solved to obtain a new energy storage capacity demand boundary corresponding to each of the new energy storage discharge power configuration strategies to form a new energy storage capacity demand curve, wherein the new energy storage capacity demand boundary is obtained by iteratively solving the new energy storage charge and discharge behavior model based on the corresponding new energy storage discharge power configuration strategy and each of the new energy storage capacity configuration strategies; Based on the intersection of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, the optimal new energy storage capacity, the optimal new energy storage discharge power and the optimal new energy storage continuous discharge time of the pure new energy transmission base are determined, wherein the optimal new energy storage continuous discharge time is the ratio of the optimal new energy storage capacity to the optimal new energy storage discharge power.

9. A wind, solar and storage configuration system for a pure new energy transmission base, characterized in that: include: A power curve construction module is used to construct a planned DC power curve of the pure new energy transmission base with the goal of matching the net load demand of the receiving-end power grid of the pure new energy transmission base, wherein the planned DC power curve includes the planned DC power of each preset period in a year; A first model building module is used to build a new energy capacity configuration model of the pure new energy transmission base under a first probability scenario based on the planned DC power transmission curve with the goal of minimizing the construction cost of the new energy site of the pure new energy transmission base, wherein the first probability scenario is a scenario in which the new energy output of the pure new energy transmission base reaches a first threshold, the occurrence probability of the first probability scenario is a second threshold, and the decision variables of the new energy capacity configuration model include wind power capacity and photovoltaic capacity; A first model solving module is used to solve the new energy capacity configuration model to obtain the wind power configuration capacity and photovoltaic configuration capacity of the pure new energy transmission base under the first probability scenario; A second model building module is used to build a new energy storage charging and discharging behavior model of the pure new energy transmission base with the goal of minimizing the deviation between the new energy output of the pure new energy transmission base in a second probability scenario and the planned DC power curve for transmission, wherein the second probability scenario is a scenario in which the new energy output of the pure new energy transmission base is a minimum value, the occurrence probability of the second probability scenario is a third threshold value, and the decision variables of the new energy storage charging and discharging behavior model include new energy storage discharge power and new energy storage charging power; The second model solving module is used to solve the new energy storage charging and discharging behavior model to obtain the new energy storage configuration strategy of the pure new energy transmission base, wherein the new energy storage configuration strategy includes the optimal new energy storage capacity, the optimal new energy storage discharge power and the optimal new energy storage continuous discharge time.

10. The wind, solar and storage configuration system for the pure new energy transmission base according to claim 9 is characterized in that: The second model solving module comprises: A first energy storage configuration unit is used to determine a new energy storage capacity configuration strategy set and a new energy storage discharge power configuration strategy set based on the deviation between the new energy output of the pure new energy transmission base in the second probability scenario and the planned transmission DC power curve, wherein the new energy storage capacity configuration strategy set includes several new energy storage capacity configuration strategies, and the new energy storage discharge power configuration strategy set includes several new energy storage discharge power configuration strategies; A first demand curve construction unit is used to perform cyclic iterative solution on the new energy storage charging and discharging behavior model based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, and obtain a new energy storage discharge power demand boundary corresponding to each of the new energy storage capacity configuration strategies to form a new energy storage discharge power demand curve, wherein the new energy storage discharge power demand boundary is obtained by iteratively solving the new energy storage charging and discharging behavior model based on the corresponding new energy storage capacity configuration strategy and each of the new energy storage discharge power configuration strategies; A second demand curve construction unit is used to perform cyclic iterative solution on the new energy storage charging and discharging behavior model based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, and obtain a new energy storage capacity demand boundary corresponding to each of the new energy storage discharge power configuration strategies to form a new energy storage capacity demand curve, wherein the new energy storage capacity demand boundary is obtained by iteratively solving the new energy storage charging and discharging behavior model based on the corresponding new energy storage discharge power configuration strategy and each of the new energy storage capacity configuration strategies; The second energy storage configuration unit is used to determine the optimal new energy storage capacity, optimal new energy storage discharge power and optimal new energy storage continuous discharge time of the pure new energy transmission base based on the intersection of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, wherein the optimal new energy storage continuous discharge time is the ratio of the optimal new energy storage capacity to the optimal new energy storage discharge power.

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