A method and system for configuring wind-solar energy storage in a pure new energy transmission base

Abstract

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

Description

Technical Field

[0001] The present invention relates to the technical field of new energy power generation, and particularly to a method and system for configuring wind power, photovoltaic power and energy storage in a pure new energy transmission base. Background Art

[0002] At present, multiple large wind and photovoltaic bases are being continuously optimized to reduce the proportion of supporting coal-fired power while ensuring the power supply capacity, so as to achieve high-proportion or pure new energy transmission. Facing the future transformation of the base development and transmission from the wind-fire mode to the pure new energy mode, in order to ensure reliable power supply to the receiving end according to the power plan, it is necessary to overall consider factors such as the actual demands of the sending and receiving ends, the channel capacity and utilization rate, the DC operation characteristics and economy, etc., and scientifically formulate the transmission power plan and the supporting power source energy storage scheme. Therefore, it is of great significance to scientifically and reasonably configure the wind power capacity and new energy storage for the pure new energy transmission base in the planning stage.

[0003] Facing the problem of base transmission with configured wind power, photovoltaic power and energy storage, the existing technology uses the exhaustive method to calculate and compare each possible configuration scheme one by one. This method has some obvious defects: First, the calculation amount is large; this method involves a large amount of data processing work because the configuration combination methods of wind power, photovoltaic power and energy storage are extremely complicated, and the number of their combined permutations increases exponentially. Each combination needs to be detailedly calculated for its index data under different working conditions, which requires a large amount of time and computing resources. Second, the configured schemes selected manually lack theoretical support; manual selection often relies on personal experience or limited cognition. This selection method cannot comprehensively and accurately evaluate the advantages and disadvantages of each scheme, and is easy to ignore some potential key factors, resulting in the selected scheme 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 method and system for configuring wind power, photovoltaic power and energy storage in a pure new energy transmission base.

[0005] In a first aspect, an embodiment of the present invention provides a method for configuring wind power, photovoltaic power and energy storage in a pure new energy transmission base, including:

[0006] Taking the goal of matching the net load demand of the receiving-end power grid of the pure new energy transmission base, constructing the planned DC transmission power curve of the pure new energy transmission base, wherein the planned DC transmission power curve includes the planned DC transmission power for each preset time period within one year;

[0007] Aiming to minimize the construction cost of new energy power stations in the pure new energy transmission base, a new energy capacity configuration model for the pure new energy transmission base under the first probability scenario is constructed based on the planned DC power curve for external transmission, where the first probability scenario is the scenario where the new energy output of the pure new energy transmission base reaches the first threshold, the occurrence probability of the first probability scenario is the second threshold, and the decision variables of the new energy capacity configuration model include wind power capacity and photovoltaic capacity;

[0008] 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;

[0009] Aiming to minimize the deviation between the new energy output of the pure new energy transmission base and the planned DC power curve for external transmission under the second probability scenario, a new energy storage charge and discharge behavior model for the pure new energy transmission base is constructed, where the second probability scenario is the scenario where the new energy output of the pure new energy transmission base is at the minimum value, the occurrence probability of the second probability scenario is the third threshold, and the decision variables of the new energy storage charge and discharge behavior model include new energy storage discharge power and new energy storage charging power;

[0010] Solve the new energy storage charge and discharge behavior model to obtain the new energy storage configuration strategy for the pure new energy transmission base, where 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 duration.

[0011] Preferably, the construction of the planned DC power curve for 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:

[0012] Based on minimizing the deviation between the planned DC power for external transmission of the pure new energy transmission base and the net load demand of the receiving-end power grid, the planned DC power curve for the pure new energy transmission base is obtained, where the following formula is used to represent the planned DC power curve:

[0013]

[0014] where, represents the planned DC power curve for external transmission, represents the planned DC power for external transmission in the t-th preset time period within a year, represents the net load demand of the receiving-end power grid in the t-th preset time period within a year, represents the number of preset time periods in a year.

[0015] Preferably, obtaining the planned DC power curve of the pure new energy transmission base based on minimizing the deviation between the unplanned DC power transmitted from the pure new energy transmission base and the net load demand of the receiving-end power grid includes:

[0016] Based on minimizing the deviation between the planned DC power transmitted from the pure new energy transmission base and the net load demand of the receiving-end power grid and combining with the first constraint conditions, obtaining the planned DC power curve of the pure new energy transmission base, wherein the first constraint conditions are to constrain the planned DC power curve, and it includes the constraint condition of the number of times of adjusting the DC power transmitted within a day, the constraint condition of the DC power transmitted at the beginning and end periods within a day, and the upper limit constraint condition of the DC power transmitted.

[0017] Preferably, aiming at minimizing the construction cost of the new energy power stations in the pure new energy transmission base, constructing the new energy capacity configuration model of the pure new energy transmission base under the first probability scenario based on the planned DC power curve includes:

[0018] Obtaining the new energy output data of the pure new energy transmission base, analyzing the new energy output data to obtain a scenario set, and performing scenario reduction on the scenario set to obtain a typical scenario set, wherein the typical scenario set includes several probability scenarios, the probability scenario is the scenario where the new energy output of the pure new energy transmission base reaches the corresponding threshold, and the sum of the occurrence probabilities of all the probability scenarios is 1, and the first probability scenario is the scenario with the largest occurrence probability in the typical scenario set;

[0019] Aiming at the new energy output of the pure new energy transmission base completely covering the planned DC power curve under the first probability scenario in the typical scenario set, constructing the second constraint conditions, wherein the second constraint conditions include the lower limit constraint condition of the new energy output under the first probability scenario and the new energy utilization rate constraint condition under the first probability scenario;

[0020] Based on minimizing the construction cost of the new energy power stations in the pure new energy transmission base and combining with the second constraint conditions, obtaining the new energy capacity configuration model of the pure new energy transmission base under the first probability scenario, wherein the second constraint conditions are to constrain the new energy capacity configuration model, and the new energy capacity configuration model is represented by the following formula:

[0021]

[0022] Wherein, represents the objective function of the new energy capacity configuration model, represents the average construction cost of the photovoltaic power stations in the pure new energy transmission base, represents the capacity of the photovoltaic power stations in the pure new energy transmission base, represents the average construction cost of wind power stations in a pure new energy transmission base, represents the capacity of wind power stations in a pure new energy transmission base.

[0023] 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:

[0024] Solving the new energy capacity configuration model. When the new energy capacity configuration model has no solution, determining the maximum open capacity of the wind power station in the pure new energy transmission base under the first probability scenario as the wind power configuration capacity, and determining the maximum open capacity of the photovoltaic power station in the pure new energy transmission base under the first probability scenario as the photovoltaic configuration capacity.

[0025] Preferably, aiming to minimize the deviation between the new energy output of the pure new energy transmission base under the second probability scenario and the planned external DC power curve, constructing the new energy storage charge and discharge behavior model of the pure new energy transmission base includes:

[0026] Based on minimizing the deviation between the new energy output of the pure new energy transmission base under the second probability scenario and the planned external DC power curve and combining with the third constraint condition, obtaining the new energy storage charge and discharge behavior model of the pure new energy transmission base, where the third constraint condition is to constrain the new energy storage charge and discharge behavior model, and it includes the new energy storage charge and discharge power constraint condition. The new energy storage charge and discharge behavior model is represented by the following formula:

[0027]

[0028] Among them, represents the objective function of the new energy storage charge and discharge behavior model, represents the external DC power gap value at the t-th preset time period within a year, represents the new energy storage discharge power at the t-th preset time period within a year, represents the external DC power surplus value at the t-th preset time period within a year, represents the new energy storage charge power at the t-th preset time period within a year, represents the number of preset time periods in a year.

[0029] Preferably, the external DC power gap value is calculated by the following formula:

[0030]

[0031] Among them, represents the DC power delivery gap value in the t-th preset time period within one year, represents the new energy output of the pure new energy delivery base in the second probability scenario in the t-th preset time period within one year, represents the unplanned DC power delivery in the t-th preset time period within one year;

[0032] The DC power delivery surplus value is calculated using the following formula:

[0033]

[0034] where, represents the DC power delivery surplus value in the t-th preset time period within one year.

[0035] Preferably, solving the new energy storage charge-discharge behavior model to obtain the new energy storage configuration strategy of the pure new energy delivery base includes:

[0036] Based on the deviation between the new energy output of the pure new energy delivery base in the second probability scenario and the planned DC power delivery curve, determine the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, where 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;

[0037] Based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, perform cyclic iterative solution on the new energy storage charge-discharge behavior model 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, where the new energy storage discharge power demand boundary is obtained by performing iterative solution on the new energy storage charge-discharge behavior model based on the corresponding new energy storage capacity configuration strategy and each new energy storage discharge power configuration strategy;

[0038] Based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, perform cyclic iterative solution on the new energy storage charge-discharge behavior model 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, where the new energy storage capacity demand boundary is obtained by performing iterative solution on the new energy storage charge-discharge behavior model based on the corresponding new energy storage discharge power configuration strategy and each new energy storage capacity configuration strategy;

[0039] Based on the intersection results of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, determine the optimal new energy storage capacity, the optimal new energy storage discharge power, and the optimal new energy storage continuous discharge duration of the pure new energy transmission base, where the optimal new energy storage continuous discharge duration is the ratio of the optimal new energy storage capacity to the optimal new energy storage discharge power.

[0040] In a second aspect, an embodiment of the present invention provides a wind-solar-storage configuration system for a pure new energy transmission base, including:

[0041] A power curve construction module, configured to construct a planned DC power curve for the pure new energy transmission base with the goal of matching the net load demand of the receiving grid of the pure new energy transmission base, where the planned DC power curve includes the planned DC power for each preset time period within one year;

[0042] A first model construction module, configured to construct a new energy capacity configuration model for the pure new energy transmission base under a first probability scenario with the goal of minimizing the new energy power station construction cost of the pure new energy transmission base, where the first probability scenario is a scenario where 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 the wind power capacity and the photovoltaic capacity;

[0043] A first model solving module, configured to solve the new energy capacity configuration model to obtain the wind power configuration capacity and the photovoltaic configuration capacity of the pure new energy transmission base under the first probability scenario;

[0044] A second model construction module, configured to construct a new energy storage charge-discharge behavior model for the pure new energy transmission base with the goal of minimizing the deviation between the new energy output and the planned DC power curve of the pure new energy transmission base under a second probability scenario, where the second probability scenario is a scenario where the new energy output of the pure new energy transmission base is at the minimum value, the occurrence probability of the second probability scenario is a third threshold, and the decision variables of the new energy storage charge-discharge behavior model include the new energy storage discharge power and the new energy storage charge power;

[0045] A second model solving module, configured to solve the new energy storage charge-discharge behavior model to obtain the new energy storage configuration strategy of the pure new energy transmission base, where 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 duration.

[0046] Preferably, the second model solving module includes:

[0047] The 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 DC transmission 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;

[0048] The first demand curve construction unit is used to perform cyclic iterative solution on the charge-discharge behavior model of the new energy storage 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. The new energy storage discharge power demand boundary is obtained by performing iterative solution on the charge-discharge behavior model of the new energy storage based on the corresponding new energy storage capacity configuration strategy and each new energy storage discharge power configuration strategy;

[0049] The second demand curve construction unit is used to perform cyclic iterative solution on the charge-discharge behavior model of the new energy storage 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. The new energy storage capacity demand boundary is obtained by performing iterative solution on the charge-discharge behavior model of the new energy storage based on the corresponding new energy storage discharge power configuration strategy and each new energy storage capacity configuration strategy;

[0050] The second energy storage configuration unit 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 duration of the pure new energy transmission base based on the intersection result of the new energy storage discharge power demand curve and the new energy storage capacity demand curve. The optimal new energy storage continuous discharge duration is the ratio of the optimal new energy storage capacity to the optimal new energy storage discharge power.

[0051] Compared with the prior art, the beneficial effects of the method and system for configuring wind power, photovoltaics, and energy storage in a pure new energy transmission base according to the embodiments of the present invention are as follows: constructing an off-plan DC power curve can meet the actual power consumption needs of the receiving-end power grid and provide an effective basis for subsequent wind power, photovoltaics, and energy storage planning and configuration; first, clarifying the optimization configuration strategy of wind power and photovoltaics under probability scenarios, and at the same time scientifically analyzing the impact of new energy storage on the power gap of the pure new energy transmission base under the worst probability scenarios of wind power and photovoltaics output, can solve the problem that it is difficult for the wind power and photovoltaics output of the pure new energy transmission base to track the off-plan DC power curve while meeting economic efficiency; based on the charge and discharge behavior model of new energy storage and combined with the cyclic iteration method, depicting the demand boundary of the pure new energy transmission base for energy storage can quantitatively and intuitively reflect the impact of three important parameters, namely the capacity, discharge power, and continuous discharge duration of new energy storage, on the supply and demand situation of the pure new energy transmission base; the configuration method proposed by the present invention can provide theoretical support for the wind power-to-photovoltaics ratio and energy storage ratio strategies of the pure new energy transmission base and has practical application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 is a schematic structural diagram of the pure new energy transmission base model according to the embodiment of the present invention;

[0053] Figure 2 is a schematic flow diagram of a method for configuring wind power, photovoltaics, and energy storage in a pure new energy transmission base according to the embodiment of the present invention;

[0054] Figure 3 is a schematic diagram of the off-plan DC power curve of a typical daily base according to the embodiment of the present invention;

[0055] Figure 4 is a schematic flow diagram of constructing a new energy capacity configuration model according to the embodiment of the present invention;

[0056] Figure 5 is a schematic diagram of the typical daily wind power and photovoltaics configuration effect under the first probability scenario according to the embodiment of the present invention;

[0057] Figure 6 is a schematic diagram of another typical daily wind power and photovoltaics configuration effect under the first probability scenario according to the embodiment of the present invention;

[0058] Figure 7 is a schematic flow diagram of obtaining a new energy storage configuration strategy according to the embodiment of the present invention;

[0059] Figure 8 is a schematic diagram of the base energy storage demand according to the embodiment of the present invention;

[0060] Figure 9 is a schematic structural diagram of a system for configuring wind power, photovoltaics, and energy storage in a pure new energy transmission base according to the embodiment of the present invention;

[0061] Figure 10 is a schematic structural diagram of the second model solving module according to the embodiment of the present invention. Specific Embodiments

[0062] The following combines the accompanying drawings and embodiments to further describe in detail the specific embodiments of the present invention. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0063] In the description of the present invention, it should be understood that the terms "first" and "second" etc. used in the present invention are used to distinguish different objects, rather than to describe a specific order.

[0064] 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 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 according to specific circumstances.

[0065] As Figure 1 shown, it is a schematic structural diagram of a pure new energy transmission base model. The pure new energy transmission base model includes photovoltaic and wind power, DC channels, receiving-end power grids, and new energy storage. For the sake of concise expression, "base" is used to replace "pure new energy transmission base" for subsequent description.

[0066] In order to meet the reliable and continuous power transmission of the base, generally, the actual needs of the sending and receiving ends are coordinated, the DC rated power and voltage level are clarified, and then a planned DC power curve for external transmission is formulated. It is required that the base be configured with new energy + new energy storage to effectively cope with the uncertainty and intermittency of new energy output. By reasonably dispatching and configuring new energy storage, the deviation between the external transmission power curve of the base and the planned DC power curve for external transmission can be solved, realizing stable and continuous power supply to the receiving-end power grid and improving the consumption capacity of new energy.

[0067] As Figure 2 shown, the embodiment of the present invention provides a method for configuring wind-solar-storage in a pure new energy transmission base, including the steps of:

[0068] S1. Taking the goal of matching the net load demand of the receiving-end power grid of the pure new energy transmission base, construct a planned DC power curve for the pure new energy transmission base;

[0069] Specifically, based on minimizing the deviation between the planned DC power for external transmission of the pure new energy transmission base and the net load demand of the receiving-end power grid, a planned DC power curve for the pure new energy transmission base is obtained. Among them, the planned DC power curve includes the planned DC power for each preset time period within one year, and the planned DC power curve is represented by the following formula:

[0070]

[0071] Among them, represents the unplanned DC power transmission curve, represents the unplanned DC power transmission at the t-th preset time period within a year, represents the net load demand of the receiving-end power grid at the t-th preset time period within a year, represents the number of preset time periods in a year.

[0072] Furthermore, based on minimizing the deviation between the unplanned DC power transmission of the pure new energy transmission base and the net load demand of the receiving-end power grid and combining with the first constraint condition, the unplanned DC power transmission curve of the pure new energy transmission base is obtained.

[0073] The first constraint condition is to constrain the unplanned DC power transmission curve, which includes the constraint condition of the number of DC power transmission adjustments within a day, the constraint condition of the DC power transmission at the beginning and end of the day, and the constraint condition of the upper limit of DC power transmission.

[0074] The following is a specific description of the first constraint condition:

[0075] 1) Constraint condition of the number of DC power transmission adjustments within a day

[0076] DC power transmission usually adopts a multi-segment operation mode. To ensure the safe and stable operation of the DC channel, in this embodiment, the DC power adjustment is restricted to no more than 6 times per day. Specifically, the following formula is used to represent the constraint condition of the number of DC power transmission adjustments within a day:

[0077]

[0078] Among them, represents a Boolean variable, which represents maintaining the original power transmission state when it is 0 and represents adjusting the original power transmission state when it is 1; represents the number of preset time periods in a day.

[0079] 2) Constraint condition for DC power transmission switching

[0080]

[0081] Among them, represents the unplanned DC power transmission at the (t - 1)-th preset time period within a year, and M represents a sufficiently large positive number.

[0082] 3) Constraint condition of the DC power transmission at the beginning and end of the day

[0083] The power at the end of the i-th day is the same as the power at the start of the (i + 1)-th day, making the unplanned DC power transmission curve more continuous. Specifically, the following formula is used to represent the constraint condition of the DC power transmission at the beginning and end of the day:

[0084]

[0085] 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.

[0086] 4) Constraints on the upper limit of DC power transmission

[0087]

[0088] 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.

[0089] 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:

[0090]

[0091] 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.

[0092] 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.

[0093] 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;

[0094] For the power supply configuration of the base, considering that the current unit cost of energy storage is still at a relatively high level, it is possible to first consider optimizing the ratio of wind power to photovoltaic power to meet the unplanned DC power curve for transmission, and further configure energy storage to solve the problem of curtailment or power shortage caused by the uncertain output of wind power and photovoltaic power. To address the issue of uncertain output of wind power and photovoltaic power, it can be solved through uncertainty optimization methods.

[0095] Specifically, as Figure 4 shown, step S2 includes:

[0096] S201. Obtain the new energy output data of the pure new energy transmission base, analyze the new energy output data to obtain a scenario set, and perform scenario reduction on the scenario set to obtain a typical scenario set;

[0097] The typical scenario set includes several probability scenarios. A probability scenario is a scenario 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. The first probability scenario is the scenario with the highest occurrence probability in the typical scenario set. In this embodiment, a generative network is used to model and sample the uncertainty of wind power and photovoltaic power output to obtain a scenario set.

[0098] S202. With the goal of completely covering the unplanned DC power curve with the new energy output of the pure new energy transmission base under the first probability scenario in the typical scenario set, construct a second constraint condition;

[0099] The second constraint condition includes the lower limit constraint condition of new energy output under the first probability scenario and the new energy utilization constraint condition under the first probability scenario. Among them, the first probability scenario is a 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.

[0100] The following is a specific description of the second constraint condition:

[0101] 1) Wind power and photovoltaic power output constraint condition

[0102]

[0103]

[0104]

[0105]

[0106] Among them, represents the capacity of the photovoltaic power station in the pure new energy transmission base, represents the capacity of the wind power station in the pure new energy transmission base, represents the capacity of the developable photovoltaic power station in the vicinity of the base, represents the capacity of the developable wind power station in the vicinity of the base, Represents the photovoltaic output under the first probability scenario, Represents the wind power output under the first probability scenario, Represents the characteristic curve of the photovoltaic output in the near area of the base under the first probability scenario, Represents the characteristic curve of the wind power output in the near area of the base under the first probability scenario.

[0107] 2) Lower limit constraint condition of new energy output under the first probability scenario

[0108]

[0109] Among them, there is:

[0110]

[0111] Among them, Represents the new energy output of the base under the first probability scenario. This condition ensures that the new energy output of the base can cover the planned DC power curve for external transmission.

[0112] 3) New energy utilization rate constraint condition under the first probability scenario

[0113]

[0114] Among them, in this embodiment Take 90%, considering the external transmission of pure new energy, its value can still be further reduced. This condition can ensure the new energy utilization rate.

[0115] S203. Based on minimizing the construction cost of new energy power stations in the pure new energy external transmission base and combining with the second constraint condition, the new energy capacity configuration model of the pure new energy external transmission base under the first probability scenario is obtained.

[0116] 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.

[0117] Specifically, the following formula is used to represent the new energy capacity configuration model:

[0118]

[0119] Among them, Represents the objective function of the new energy capacity configuration model, Represents the average construction cost of photovoltaic power stations in the pure new energy external transmission base, Represents the capacity of photovoltaic power stations in the pure new energy external transmission base, Represents the average construction cost of wind power stations in the pure new energy external transmission base, Represents the capacity of wind power stations in the pure new energy external transmission base.

[0120] S3. Solve the new - energy capacity configuration model to obtain the wind - power configuration capacity and photovoltaic configuration capacity of the pure new - energy power - export base under the first probability scenario;

[0121] When solving the new - energy capacity configuration model, if the new - energy capacity configuration model has no solution, determine the maximum open capacity of the wind farm under the first probability scenario of the pure new - energy power - export base as the wind - power configuration capacity, and determine the maximum open capacity of the photovoltaic power station under the first probability scenario of the pure new - energy power - export base as the photovoltaic configuration capacity.

[0122] It should be noted that the new - energy capacity configuration model is restricted by the resources in the vicinity of the base, which may lead to no solution, that is, there is a situation where the base cannot meet the off - plan power - export DC power curve through pure new - energy power export under the first probability scenario. In this case, configure the maximum open capacity of wind and light, that is 、 Take the maximum value.

[0123] Figure 5 Fig. is a schematic diagram of the typical daily wind - light configuration effect under the first probability scenario. Under the condition of not being affected by the resources in the vicinity of the base, the wind - light output can completely cover the off - plan power - export DC power curve. Figure 6 Fig. is a schematic diagram of the typical daily wind - light configuration effect under the first probability scenario. Under the condition of being affected by the resources in the vicinity of the base, there is a deviation between the wind - light output and the off - plan power - export DC power curve after configuring according to the maximum open capacity of wind and light in the vicinity of the base.

[0124] S4. With the goal of minimizing the deviation between the new - energy output and the off - plan power - export DC power curve of the pure new - energy power - export base under the second probability scenario, construct a new - type energy - storage charge - discharge behavior model for the pure new - energy power - export base;

[0125] Although in steps S2 - S3, a power - supply configuration strategy that can meet the off - plan power - export DC power curve under the first probability scenario is obtained through optimized configuration, there is still a deviation between the new - energy output and the off - plan power - export DC power curve in the 1 - second - threshold probability scenario, which can be solved by configuring a new - type energy - storage to achieve the pure new - energy power export of the base.

[0126] Specifically, based on minimizing the deviation between the new - energy output and the off - plan power - export DC power curve of the pure new - energy power - export base under the second probability scenario and combining with the third constraint condition, a new - type energy - storage charge - discharge behavior model for the pure new - energy power - export base is obtained. Among them, the second probability scenario is the scenario where the new - energy output of the pure new - energy power - export base is the minimum value, and the occurrence probability of the second probability scenario is the third threshold. That is to say, the second probability scenario is the most adverse probability scenario. It can be understood that the first probability scenario and the second probability scenario both belong to the typical scenario set. The third constraint condition is to constrain the new - type energy - storage charge - discharge behavior model, which includes the new - type energy - storage charge - discharge power constraint condition.

[0127] In this embodiment, Electrochemical Energy Storage (EES) is used as a new type of energy storage. The following is a specific description of the third constraint condition:

[0128] 1) EES charge and discharge power constraint condition

[0129]

[0130]

[0131] Among them, represents the charging power of the i-th EES at time t, represents the discharging power of the i-th EES at time t, represents the upper limit value of the charging power of the i-th EES at time t, represents the upper limit value of the discharging power of the i-th EES at time t, represents a Boolean variable to ensure that the charging and discharging behaviors of the EES do not occur simultaneously at time t during the optimization problem solving process.

[0132] 2) EES state of charge equation

[0133]

[0134]

[0135]

[0136] Among them, represents the battery state of the i-th EES at time t, represents the maximum allowable value of the battery state of the i-th EES, represents the minimum allowable value of the battery state of the i-th EES, represents the charge and discharge efficiency of the i-th EES, represents the leakage energy coefficient, that is, the percentage of the lost electricity in a time period, represents the capacity of the i-th EES, represents the battery state of the i-th EES in the time period, represents the initial battery state of the i-th EES.

[0137] 3) New type of energy storage charge and discharge power constraint condition

[0138]

[0139]

[0140] Among them, there are:

[0141]

[0142]

[0143] Among them, represents the new energy storage charging power in the t-th preset time period within a year, represents the new energy storage discharging power in the t-th preset time period within a year, represents the DC power export gap value in the t-th preset time period within a year, represents the DC power export surplus value in the t-th preset time period within a year. This condition can not only ensure that the charging power of EES in the t-th time period does not exceed the power surplus of the base DC power export system, but also ensure that the discharging power of EES in the t-th time period does not exceed the power demand of the base DC power export system.

[0144] Furthermore, the decision variables of the new energy storage charge-discharge behavior model include the new energy storage discharging power and the new energy storage charging power. The new energy storage charge-discharge behavior model is characterized by the following formula:

[0145]

[0146] Among them, represents the objective function of the new energy storage charge-discharge behavior model, represents the DC power export gap value in the t-th preset time period within a year, represents the new energy storage discharging power in the t-th preset time period within a year, represents the DC power export surplus value in the t-th preset time period within a year, represents the new energy storage charging power in the t-th preset time period within a year, represents the number of preset time periods in a year.

[0147] Furthermore, the DC power export gap value is calculated by the following formula:

[0148]

[0149] Among them, represents the DC power export gap value in the t-th preset time period within a year, represents the new energy output in the t-th preset time period within a year under the second probability scenario of the pure new energy export base, represents the planned DC power export in the t-th preset time period within a year;

[0150] The DC power export surplus value is calculated by the following formula:

[0151]

[0152] Among them, represents the surplus value of the DC power output for delivery in the t-th preset time period within one year.

[0153] S5. Solve the charge-discharge behavior model of the new energy storage to obtain the new energy storage configuration strategy for the pure new energy power delivery base.

[0154] The present invention combines a cyclic iterative calculation method to obtain the influence of the new energy storage configuration strategy on the supply-demand situation of the DC power system for power delivery from the base, and further clarifies the new energy storage configuration strategy.

[0155] Specifically, as Figure 7 shown, step S5 includes:

[0156] S501. Based on the deviation between the new energy output and the planned DC power output curve of the pure new energy power delivery base under the second probability scenario, determine the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set;

[0157] 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 iteration times for configuring the EES capacity are 1,..., m,..., M, and the iteration times for configuring the EES discharge power are 1,..., k,..., K, that is, a total of M×K groups of configuration strategies are set. It should be noted that the more iteration times are set, the smaller the iteration step size, the more accurate the calculation result, but the calculation amount increases, affecting the calculation efficiency.

[0158] S502. Based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set, perform cyclic iterative solution on the new energy storage charge-discharge behavior model to obtain the new energy storage discharge power demand boundary corresponding to each new energy storage capacity configuration strategy to form the new energy storage discharge power demand curve;

[0159] The new energy storage discharge power demand boundary is obtained by performing iterative solution on the new energy storage charge-discharge behavior model based on the corresponding new energy storage capacity configuration strategy and each new energy storage discharge power configuration strategy.

[0160] The following specifically describes the process of constructing the new energy storage power demand curve in this embodiment:

[0161] Under the m-th EES capacity configuration strategy, by solving the new energy storage charge-discharge behavior model, calculate the evaluation index under the k-th EES discharge power configuration strategy. When meets the first criterion, the EES discharge power demand boundary Further, through cyclic iteration, the EES discharge power demand boundaries under a total of M sets of EES capacity configuration strategies can be obtained, thereby forming an EES discharge power demand curve.

[0162] Specifically, the first criterion is characterized by the following formula:

[0163] or

[0164] where, represents a sufficiently small positive number.

[0165] S503. Cyclically iterate and solve the new energy storage charge and discharge behavior model based on the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set to obtain the new energy storage capacity demand boundaries corresponding to each new energy storage discharge power configuration strategy, thereby constituting a new energy storage capacity demand curve;

[0166] 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 new energy storage capacity configuration strategy.

[0167] The following specifically describes the process of constructing the new energy storage capacity demand curve in this embodiment:

[0168] Under the k-th EES discharge power configuration strategy, by solving the new energy storage charge and discharge behavior model, calculate the evaluation index under the m-th EES capacity configuration strategy . When satisfies the second criterion, the EES capacity demand boundary under the k-th EES discharge power configuration strategy can be obtained . Further, through cyclic iteration, the EES capacity demand boundaries under a total of K groups of EES discharge power configuration strategies can be obtained, thereby forming an EES capacity demand curve.

[0169] Specifically, the second criterion is characterized by the following formula:

[0170] or

[0171] where, represents a sufficiently small positive number.

[0172] It should be noted that the evaluation index in step S502 and step S503 is calculated using the following formula:

[0173]

[0174] where, The new energy storage discharge power obtained by solving the new energy storage charge and discharge behavior model.

[0175] S504. Based on the intersection results of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, determine the optimal new energy storage capacity, the optimal new energy storage discharge power, and the optimal new energy storage continuous discharge duration of the pure new energy transmission base.

[0176] Among the M×K groups of EES capacity and discharge power configuration strategies in this embodiment, at least one EES capacity and discharge power configuration parameter of the energy storage ratio strategy can just meet the power supply requirements of the base transmission DC system, that is, the intersection results of the new energy storage discharge power demand curve and the new energy storage capacity demand curve, and define this intersection result as the new energy storage configuration strategy that meets the power supply requirements of the base transmission 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 duration. Among them, the optimal new energy storage continuous discharge duration 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 duration is the maximum new energy storage continuous discharge duration.

[0177] Figure 8 It is a schematic diagram of the base energy storage demand. If the new energy storage configuration strategy is outside the closed curve, it means that this configuration strategy exceeds the boundary of the base energy storage demand, and the configured capacity or discharge power is redundant. Among them, the black dot represents the intersection result 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 requirements of the base transmission DC system. The slope of the dotted line represents the new energy storage continuous discharge duration in the new energy storage configuration strategy, but it is not the optimal new energy storage continuous discharge duration. The slope at the intersection result is the optimal new energy storage continuous discharge duration in the new energy storage configuration strategy.

[0178] In an embodiment of the present invention, a method for configuring a wind-solar-storage system in a pure new energy transmission base is provided. By constructing a planned DC power curve for transmission, it can meet the actual electricity demand of the receiving-end power grid and provide an effective basis for subsequent wind-solar-storage planning and configuration. First, clarify the optimal configuration strategy of wind and solar energy under probabilistic scenarios. At the same time, scientifically analyze the impact of new energy storage on the power gap of the pure new energy transmission base under the most adverse probabilistic scenarios of wind and solar energy output. This can solve the problem of difficulty in tracking the planned DC power curve by the wind-solar output of the pure new energy transmission base while meeting economic requirements. Based on the charge-discharge behavior model of new energy storage and combined with the cyclic iteration method, the demand boundary of energy storage for the pure new energy transmission base is characterized, which can quantitatively and intuitively reflect the impact of three important parameters of new energy storage capacity, discharge power, and continuous discharge duration on the supply-demand situation of the pure new energy transmission base. The configuration method proposed by the present invention can provide theoretical support for the wind-solar ratio and energy storage ratio strategies of the pure new energy transmission base and has practical application value.

[0179] Based on the above-mentioned method for configuring a wind-solar-storage system in a pure new energy transmission base, as Figure 9 shown, an embodiment of the present invention provides a wind-solar-storage configuration system for a pure new energy transmission base, including:

[0180] A power curve construction module 1, which is used to construct a planned DC power curve for 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. Among them, the planned DC power curve includes the planned DC power for each preset time period within one year;

[0181] A first model construction module 2, which is used to construct a new energy capacity configuration model for the pure new energy transmission base under the first probabilistic scenario with the goal of minimizing the construction cost of new energy power stations in the pure new energy transmission base. Among them, the first probabilistic scenario is the scenario where the new energy output of the pure new energy transmission base reaches the first threshold, the occurrence probability of the first probabilistic scenario is the second threshold, and the decision variables of the new energy capacity configuration model include the wind power capacity and the photovoltaic capacity;

[0182] A first model solving module 3, which is used to solve the new energy capacity configuration model to obtain the wind power configuration capacity and the photovoltaic configuration capacity of the pure new energy transmission base under the first probabilistic scenario;

[0183] A second model construction module 4, which is used to construct a charge-discharge behavior model of new energy storage for the pure new energy transmission base with the goal of minimizing the deviation between the new energy output and the planned DC power curve of the pure new energy transmission base under the second probabilistic scenario. Among them, the second probabilistic scenario is the scenario where the new energy output of the pure new energy transmission base is the minimum value, the occurrence probability of the second probabilistic scenario is the third threshold, and the decision variables of the new energy storage charge-discharge behavior model include the new energy storage discharge power and the new energy storage charge power;

[0184] 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 for the pure new energy transmission base. 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 duration.

[0185] Specifically, as Figure 10 shown, the second model solving module 5 includes:

[0186] The first energy storage configuration unit 51 is used to determine the new energy storage capacity configuration strategy set and the new energy storage discharge power configuration strategy set based on the deviation between the new energy output and the unplanned DC transmission power curve of the pure new energy transmission base under the second probability scenario. 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;

[0187] The first demand curve construction unit 52 is used to perform 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 to obtain the new energy storage discharge power demand boundary corresponding to each new energy storage capacity configuration strategy to form the new energy storage discharge power demand curve. The new energy storage discharge power demand boundary is obtained by performing iterative solution on 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;

[0188] The second demand curve construction unit 53 is used to perform 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 to obtain the new energy storage capacity demand boundary corresponding to each new energy storage discharge power configuration strategy to form the new energy storage capacity demand curve. The new energy storage capacity demand boundary is obtained by performing iterative solution on 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;

[0189] 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 duration of the pure new energy transmission base based on the intersection result of the new energy storage discharge power demand curve and the new energy storage capacity demand curve. The optimal new energy storage continuous discharge duration is the ratio of the optimal new energy storage capacity to the optimal new energy storage discharge power.

[0190] It should be noted that each module in the above-mentioned wind-solar-storage configuration system for a pure new energy external power transmission base can be implemented in whole or in part through software, hardware, and their combinations. Each of the above modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so as to facilitate the processor to call and execute the operations corresponding to each of the above modules. For the specific limitations of a wind-solar-storage configuration system for a pure new energy external power transmission base, refer to the limitations of a wind-solar-storage configuration method for a pure new energy external power transmission base in the above text. The two have the same functions and effects, and will not be elaborated here.

[0191] In summary, for the wind-solar-storage configuration method and system in the embodiments of the present invention, constructing an off-plan DC power curve can meet the actual power consumption needs of the receiving-end power grid and provide an effective basis for subsequent wind-solar-storage planning and configuration; first, clarify the wind-solar optimization configuration strategy under probability scenarios, and at the same time scientifically analyze the impact of new energy storage on the power gap of a pure new energy external power transmission base under the worst probability scenario of wind-solar output, which can solve the problem of difficulty in tracking the off-plan DC power curve of wind-solar output in a pure new energy external power transmission base while meeting economy; based on the charge-discharge behavior model of new energy storage and combined with the cyclic iteration method, depict the demand boundary of energy storage for a pure new energy external power transmission base, which can quantitatively and intuitively reflect the impact of three important parameters of new energy storage capacity, discharge power, and continuous discharge duration on the supply-demand situation of a pure new energy external power transmission base; the configuration method proposed by the present invention can provide theoretical support for the wind-solar ratio and energy storage ratio strategies of a pure new energy external power transmission base and has practical application value.

[0192] Each embodiment in this specification is described in a progressive manner. For parts that are the same or similar in each embodiment, reference can be made to each other. 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 refer to the partial description of the method embodiment. It should be noted that the technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0193] The above are only the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and substitutions can be made, and these improvements and substitutions should also be regarded as the protection scope 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, a 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 new energy transmission base based on minimizing the deviation between the planned DC power for transmission of the pure new 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 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.

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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