Method and device for determining optimal wind and solar power installed capacity

Abstract

The present invention relates to the field of computer technologies, and particularly to a method and device for determining the optimal installed capacity of wind and photovoltaic power generation. Among them, the method includes: obtaining the wind turbine power generation power and photovoltaic power generation power per unit area within a preset time period, inputting the wind turbine power generation power and photovoltaic power generation power into a first preset model to obtain the optimal ratio of wind turbine equipment to photovoltaic equipment, where the optimal ratio is the ratio of wind turbine equipment to photovoltaic equipment with the smallest fluctuation of wind and photovoltaic power generation power, obtaining the DC channel capacity and the maximum wind and photovoltaic curtailment rate, and inputting the optimal ratio, DC channel capacity, and maximum wind and photovoltaic curtailment rate into a second preset model to obtain the optimal installed capacity of wind and photovoltaic power generation. Therefore, the present invention can solve the technical problem of how to improve the efficiency of calculating the optimal installed capacity of wind and photovoltaic power generation.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and particularly to a method and device for determining the optimal installed capacity of wind and light power generation. Background Art

[0002] Large-scale new energy bases are characterized by large randomness and strong volatility in power output. At the same time, the characteristics of cross-regional power transmission also vary greatly compared with traditional DC power transmission channels. In actual projects, the capacity of the DC channel is usually determined in advance, and the ratio and installed capacity of wind power and photovoltaic power in the Shagohuang new energy base have become the key factors affecting the power transmission effect.

[0003] In related technologies, the optimization of wind and light installed capacity is mainly determined by long-term operation simulation, which is computationally complex and has low computational efficiency.

[0004] Based on this, there is an urgent need for a method and device for determining the optimal installed capacity of wind and light power generation to solve the technical problem of how to improve the efficiency of calculating the optimal installed capacity of wind and light power generation. Summary of the Invention

[0005] To solve the technical problem of how to improve the efficiency of calculating the optimal installed capacity of wind and light power generation, embodiments of the present invention provide a method and device for determining the optimal installed capacity of wind and light power generation.

[0006] In a first aspect, embodiments of the present invention provide a method for determining the optimal installed capacity of wind and light power generation, including:

[0007] Obtaining the wind turbine power generation power and photovoltaic power generation power per unit area within a preset time period;

[0008] Inputting the wind turbine power generation power and the photovoltaic power generation power into a first preset model to obtain the optimal ratio of wind turbine equipment to photovoltaic equipment; wherein, the optimal ratio is the ratio of wind turbine equipment to photovoltaic equipment with the smallest volatility of wind and light power generation power;

[0009] Obtaining the DC channel capacity and the maximum wind and light curtailment rate;

[0010] Inputting the optimal ratio, the DC channel capacity, and the maximum wind and light curtailment rate into a second preset model to obtain the optimal installed capacity of wind and light power generation.

[0011] In a second aspect, embodiments of the present invention further provide a device for determining the optimal installed capacity of wind and light power generation, including:

[0012] A first acquisition module, configured to obtain the wind turbine power generation power and photovoltaic power generation power per unit area within a preset time period;

[0013] The first data processing module is configured to input the wind turbine power generation and the photovoltaic power generation into a first preset model to obtain the optimal ratio of the wind turbine equipment to the photovoltaic equipment; wherein, the optimal ratio is the ratio of the wind turbine equipment to the photovoltaic equipment with the smallest fluctuation of the wind-solar power generation

[0014] The second acquisition module is configured to acquire the DC channel capacity and the maximum wind and light curtailment rate.

[0015] The second data processing module is configured to input the optimal ratio, the DC channel capacity, and the maximum wind and light curtailment rate into a second preset model to obtain the optimal wind-solar installed capacity.

[0016] The embodiment of the present invention provides a method and device for determining the optimal wind-solar installed capacity. First, by acquiring the wind turbine power generation and the photovoltaic power generation per unit area within a preset time period, the optimal ratio of the wind turbine equipment to the photovoltaic equipment is determined. Then, the DC channel capacity and the maximum wind and light curtailment rate are acquired, and based on the optimal ratio, the DC channel capacity, and the maximum wind and light curtailment rate, the optimal wind-solar installed capacity is calculated. Compared with the prior art, the present invention does not require a complex calculation method and has higher calculation efficiency. Therefore, the present invention can solve the technical problem of how to improve the calculation efficiency of the optimal wind-solar installed capacity. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a flowchart of a method for determining the optimal wind-solar installed capacity provided by an embodiment of the present invention;

[0019] Figure 2 It is a schematic diagram of the relationship between the new energy output curve and the DC channel capacity provided by an embodiment of the present invention;

[0020] Figure 3 It is a schematic diagram of the most ideal new energy output curve provided by an embodiment of the present invention;

[0021] Figure 4 It is a schematic diagram of the new energy output curve under different installed capacities provided by an embodiment of the present invention;

[0022] Figure 5 It is a schematic diagram of the output curve of a wind turbine per unit installed capacity provided by an embodiment of the present invention;

[0023] Figure 6 It is a schematic diagram of the photovoltaic output curve per unit installed capacity provided by an embodiment of the present invention;

[0024] Figure 7 It is a schematic diagram of the comparison of the calculation results between the method of the present invention and the stochastic programming method provided by an embodiment of the present invention;

[0025] Figure 8 It is a structural diagram of a device for determining the optimal wind-solar installed capacity provided by an embodiment of the present invention;

[0026] Figure 9 It is a hardware architecture diagram of an electronic device where the device for determining the optimal wind-solar installed capacity provided by an embodiment of the present invention is located. Detailed implementation manners

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0028] Please refer to Figure 1 , an embodiment of the present invention provides a method for determining the optimal wind-solar installed capacity, and the method includes:

[0029] Step 100: Obtain the wind power generation power and photovoltaic power generation power per unit area within a preset time period;

[0030] Step 102: Input the wind power generation power and photovoltaic power generation power into a first preset model to obtain the optimal ratio of the wind turbine equipment to the photovoltaic equipment; wherein, the optimal ratio is the ratio of the wind turbine equipment to the photovoltaic equipment with the smallest fluctuation of the wind-solar power generation power;

[0031] Step 104: Obtain the DC channel capacity and the maximum wind and light curtailment rate;

[0032] Step 106: Input the optimal ratio, the DC channel capacity, and the maximum wind and light curtailment rate into a second preset model to obtain the optimal wind-solar installed capacity.

[0033] In the embodiments of the present invention, first, the optimal ratio of the wind turbine equipment to the photovoltaic equipment is determined by obtaining the wind power generation power and the photovoltaic power generation power per unit area within a preset time period. Then, the DC channel capacity and the maximum wind and light abandonment rates are obtained, and the optimal wind and light installed capacity is calculated based on the optimal ratio, the DC channel capacity, and the maximum wind and light abandonment rates. Compared with the prior art, the present invention does not require complex calculation methods and has higher calculation efficiency. Therefore, the present invention can solve the technical problem of how to improve the calculation efficiency of the optimal wind and light installed capacity.

[0034] The following describes Figure 1 the execution manners of the respective steps shown.

[0035] Regarding step 100:

[0036] In an embodiment of the present invention, by means of curves drawn based on the historical output data of wind turbines and photovoltaics in desert, Gobi, and arid areas, the wind power generation power and the photovoltaic power generation power per unit area in this area are determined. In the actual application process, those skilled in the art have a high degree of flexibility and autonomy. They can customize the preset time period according to the specific actual usage situation. The advantages of this kind of customization are very significant. It can closely fit different research objectives, actual scenario requirements, and special engineering requirements. For example, when technicians focus on studying the energy output change law in a specific season or a specific time period, they can specifically select the corresponding time period for in-depth analysis. In this way, the obtained results will be more targeted and practical, and can better meet the diverse needs in actual work.

[0037] In addition, in the new energy field, especially when it comes to wind power generation power and photovoltaic power generation power. The unit area usually refers to within a certain geographical area, and the relevant data is statistically analyzed in units of per square meter (m 2 ) or per square kilometer (km 2 ). For example, for photovoltaic power generation, the power per unit area refers to the electric power that each square meter of photovoltaic panels can generate under specific illumination conditions; for wind power generation, the power per unit area can be the electric power generated by the wind turbines installed on each square kilometer of land. However, in the present invention, the unit area of wind power generation and the unit area of photovoltaic power generation need to be unified into per square meter or per square kilometer before calculation.

[0038] Regarding step 102:

[0039] In an embodiment of the present invention, the optimal ratio is determined by the following formula:

[0040]

[0041] Where α is the optimal ratio, t is the time point within the preset time period, and p pv(t) is the photovoltaic power generation per unit area at time point t, and p w(t) is the wind power generation per unit area at time point t. Var is the variance and Cov is the covariance.

[0042] As Figure 2 shown, in this embodiment, in the field of new energy (wind and light) power generation, there is a close relationship between the new energy power generation output curve and the DC channel capacity. The new energy power generation output curve intuitively reflects the change of new energy power generation at different time points, and it has instability and intermittency. The DC channel capacity represents the upper limit of the electric energy that the channel can transmit. When the total new energy output exceeds the DC channel capacity, the phenomenon of wind and light abandonment will occur. This is because the part of the new energy electric energy that exceeds the transmission capacity of the DC channel cannot be effectively transmitted and has to be discarded. On the contrary, when the total new energy output is lower than the DC channel capacity, the DC channel will be in an idle state and not fully utilized. This means that during these periods, although the DC channel has the ability to transmit electric energy, due to insufficient new energy power generation, the channel resources cannot be effectively utilized. In the most ideal case, if the total new energy output is flat, that is, maintaining a stable output power and exactly matching the DC channel capacity, then the phenomenon of wind and light abandonment will not occur, and the DC channel utilization rate can reach 100%. In this state, the new energy electric energy can be efficiently and stably transmitted through the DC channel.

[0043] In an embodiment of the present invention, the first preset model is constructed by the following formula:

[0044]

[0045] Where T is the preset time period, is the average wind power generation per unit area, is the average photovoltaic power generation per unit area.

[0046] As Figure 3As shown, in this embodiment, the goal of the ratio between the wind turbine equipment and the photovoltaic equipment is to minimize the volatility of the total output (power generation) of new energy (wind and light). The wind turbine equipment and the photovoltaic equipment each have unique power generation characteristics. Wind power generation depends on wind resources, and its output fluctuates with the change of wind speed. The instability of wind speed leads to the intermittency and strong randomness of wind turbine output. The photovoltaic equipment generates electricity based on light intensity and sunshine duration. The daily variation, seasonal variation, and weather factors of light conditions will all make the photovoltaic output show obvious fluctuation characteristics. When the ratio between the wind turbine equipment and the photovoltaic equipment is reasonably adjusted, the complementary nature of the power generation characteristics of the two can be realized to a certain extent. For example, when there is sufficient sunlight during the day, the output of the photovoltaic equipment is large. At this time, if the wind is weak, the output of the wind turbine is relatively small, but the high output of the photovoltaic can make up for the deficiency of the wind turbine; when there is insufficient sunlight at night or on cloudy days, the output of the photovoltaic drops sharply, and if the wind conditions are good at this time, the wind turbine can undertake the main power generation task, so that the fluctuation of the total output of new energy in the time dimension is smoothed to a certain extent.

[0047] In this embodiment, when F′(α) = 0, the volatility of the total output of new energy is the smallest, then the following formula holds

[0048]

[0049] After simplifying the following formula, we get

[0050]

[0051] In the formula, Var is the variance and Cov is the covariance.

[0052] Regarding step 104:

[0053] In an embodiment of the present invention, the DC channel capacity refers to the maximum DC power that the transmission channel can safely and stably transmit in the DC power transmission system. It is usually measured in power units such as megawatts (MW) or ten thousand kilowatts (10MW). Just like the maximum traffic flow that a highway can accommodate, the DC channel capacity represents the maximum power flow that this "power highway" can carry. The maximum curtailment rate of wind and light refers to the maximum proportion of the wind power and photovoltaic power that are allowed to be discarded in the power system in the total available power generation of wind and light. Those skilled in the art can customize the DC channel capacity according to the actual situation. The maximum curtailment rate of wind and light refers to the maximum proportion of the wind power and photovoltaic power that are allowed to be discarded in the power system in the total available power generation of wind and light. Referring to the "Clean Energy Consumption Action Plan (2018 - 2020)", it is taken as 5%.

[0054] Regarding step 106:

[0055] In an embodiment of the present invention, the determination of the optimal wind and light installed capacity is determined by the following formula:

[0056]

[0057] Where C res is the optimal installed capacity of wind and light, is the DC channel capacity, is the maximum curtailment rate of wind and light.

[0058] As Figure 4 shown, in this embodiment, the larger the installed capacity of new energy (wind and light), the higher the total output curve, and the larger the power transmitted out of the new energy base. Therefore, increasing the installed capacity of new energy will shift the total output curve of new energy upward. When the total output of new energy is greater than the DC channel capacity, the new energy base will be forced to "curtail wind and light". And when the curtailment rate of wind and light in the new energy base reaches the maximum value, its transmitted power is the largest, and the corresponding optimal installed capacity of wind and light is obtained at this time.

[0059] In one embodiment of the present invention, the second preset model is constructed by the following formula:

[0060]

[0061] Where is the minimum annual utilization hours of the DC channel, and w res is the power output within a preset time period.

[0062] In this embodiment, when the transmitted power of the Shagehuang new energy base is the same, the fluctuation of the new energy output curve in the base should be minimized as much as possible. Therefore, the proportion of wind turbines is taken as the value when the fluctuation of the total output of new energy is the smallest, that is, under the condition that the wind-light ratio in the new energy base is determined, the optimal installed capacity of new energy when the transmitted power of the new energy base is the largest is determined. At the same time, in the DC transmission system of new energy, to ensure the safe and stable operation and economic benefits of the power system, a series of operation constraints often need to be met. Here, the annual utilization hours of the DC channel and the maximum curtailment rate of wind and light are used as constraints.

[0063] As Figure 5 , Figure 6 , Figure 7 shown, in this embodiment, the proportion of wind turbine installed capacity in the Shagehuang new energy base and the corresponding annual utilization hours of the DC channel under this proportion of wind turbine installed capacity are calculated respectively by using the method of the present invention and the existing stochastic programming method. The optimization results of the two are very close. The proportion of wind turbine installed capacity calculated by using the method of the present invention is 0.6678, and the annual utilization hours of the DC channel are 6350 h; the proportion of wind turbine installed capacity calculated by using the stochastic programming method is 0.6819, and the annual utilization hours of the DC channel are 6331 h. The time required for the calculation process using the stochastic programming method is 158.13 s, and the time required for the calculation process using the method of the present invention is only 1.2 s. It can be seen that the calculation speed of the method of the present invention is much faster than the existing method.

[0064] Figure 7 As shown, in this embodiment, is the optimal ratio calculated by using the method of the present invention; is the annual utilization hours of the DC channel calculated by using the method of the present invention; is the optimal ratio calculated by using the stochastic programming method; is the annual utilization hours of the DC channel calculated by using the stochastic programming method.

[0065] As Figure 8 , Figure 9 shown, an embodiment of the present invention provides a device for determining the optimal wind-solar installed capacity. The device embodiment can be implemented by software, or by hardware or a combination of software and hardware. From the hardware level, as Figure 9 shown, it is a hardware architecture diagram of an electronic device where the device for determining the optimal wind-solar installed capacity provided by an embodiment of the present invention is located. In addition to Figure 9 the processor, memory, network interface, and non-volatile memory shown, the electronic device where the device is located in the embodiment usually may also include other hardware, such as a forwarding chip responsible for processing packets, etc. Taking software implementation as an example, as Figure 8 shown, as a logically meaningful device, it is formed by the CPU of its corresponding electronic device reading the corresponding computer program in the non-volatile memory into the memory and running.

[0066] As Figure 8 shown, a device for determining the optimal wind-solar installed capacity provided by this embodiment, the device includes:

[0067] A first acquisition module 800, configured to acquire the wind power generation power and photovoltaic power generation power per unit area within a preset time period;

[0068] A first data processing module 802, configured to input the wind power generation power and the photovoltaic power generation power into a first preset model to obtain the optimal ratio of the wind turbine equipment to the photovoltaic equipment; wherein, the optimal ratio is the ratio of the wind turbine equipment to the photovoltaic equipment with the smallest fluctuation of the wind-solar power generation power;

[0069] A second acquisition module 804, configured to acquire the DC channel capacity and the maximum wind and light curtailment rate;

[0070] A second data processing module 806, configured to input the optimal ratio, the DC channel capacity, and the maximum wind and light curtailment rate into a second preset model to obtain the optimal wind-solar installed capacity.

[0071] In an embodiment of the present invention, the first acquisition module 800 can be used to execute step 100 in the above method embodiment, the first data processing module 802 can be used to execute step 102 in the above method embodiment, the second acquisition module 804 can be used to execute step 104 in the above method embodiment, and the second data processing module 806 can be used to execute step 106 in the above method embodiment.

[0072] In an embodiment of the present invention, the optimal ratio is determined by the following formula:

[0073]

[0074] In the formula, α is the optimal ratio, t is the time point within the preset time period, p pv(t) is the photovoltaic power generation per unit area at time point t, p w(t) is the wind power generation per unit area at time point t, Var is the variance, and Cov is the covariance.

[0075] In an embodiment of the present invention, the first preset model is constructed by the following formula:

[0076]

[0077] In the formula, T is the preset time period, is the average wind power generation per unit area, is the average photovoltaic power generation per unit area.

[0078] In an embodiment of the present invention, the determination of the optimal wind-solar installed capacity is determined by the following formula:

[0079]

[0080] In the formula, C res is the optimal wind-solar installed capacity, is the DC channel capacity, is the maximum wind and light curtailment rate.

[0081] In an embodiment of the present invention, the second preset model is constructed by the following formula:

[0082]

[0083] In the formula, is the minimum annual utilization hours of the DC channel, w res is the electricity output within the preset time period.

[0084] It can be understood that the structure illustrated in the embodiments of the present invention does not constitute a specific limitation on a device for determining the optimal installed capacity of wind and light. In other embodiments of the present invention, a device for determining the optimal installed capacity of wind and light may include more or fewer components than those illustrated, or combine certain components, or split certain components, or have different component arrangements. The illustrated components can be implemented in hardware, software, or a combination of software and hardware.

[0085] Regarding the information interaction, execution process, etc. between the various modules within the above-mentioned device, since they are based on the same concept as the method embodiments of the present invention, the specific content can be referred to the descriptions in the method embodiments of the present invention, and will not be elaborated here.

[0086] The embodiments of the present invention also provide an electronic device, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, it implements a method for determining the optimal installed capacity of wind and light in any embodiment of the present invention.

[0087] The embodiments of the present invention also provide a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the processor is caused to execute a method for determining the optimal installed capacity of wind and light in any embodiment of the present invention.

[0088] Specifically, a system or device equipped with a storage medium can be provided. Software program codes for implementing the functions in any of the above embodiments are stored on the storage medium, and the computer (or CPU or MPU) of the system or device is caused to read and execute the program codes stored in the storage medium.

[0089] In this case, the program code read from the storage medium itself can implement the functions of any one of the above embodiments. Therefore, the program code and the storage medium storing the program code constitute a part of the present invention.

[0090] Embodiments of the storage medium for providing program codes include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, non-volatile memory cards, and ROMs. Optionally, the program codes can be downloaded from a server computer via a communication network.

[0091] In addition, it should be clear that not only can the actual operations be completed in part or in whole by executing the program codes read by the computer, but also by means of instructions based on the program codes to cause the operating system operating on the computer, etc., so as to implement the functions of any one of the above embodiments.

[0092] In addition, it can be understood that the program code read from the storage medium is written into the memory provided in the expansion board inserted into the computer or into the memory provided in the expansion module connected to the computer, and then based on the instructions of the program code, the CPU etc. installed on the expansion board or the expansion module are made to execute some or all of the actual operations, thereby implementing the functions of any of the above embodiments.

[0093] It should be noted that in this text, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device.

[0094] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes various media such as ROM, RAM, magnetic disk or optical disk that can store program code.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining the optimal wind and solar power installed capacity, characterized in that: Including: Obtaining the wind power generation power and photovoltaic power generation power per unit area within a preset time period; Inputting the wind power generation power and the photovoltaic power generation power into a first preset model to obtain the optimal ratio of the wind turbine equipment to the photovoltaic equipment; wherein, the optimal ratio is the ratio of the wind turbine equipment to the photovoltaic equipment with the smallest volatility of the wind-solar power generation power; Obtaining the DC channel capacity and the maximum wind and light curtailment rates; Inputting the optimal ratio, the DC channel capacity and the maximum wind and light curtailment rates into a second preset model to obtain the optimal wind-solar installed capacity; The optimal ratio is determined by the following formula: Where α is the optimal ratio, t is the time point within the preset time period, and p pv(t) is the photovoltaic power generation per unit area at time point t, and p w(t) is the wind turbine power generation per unit area at time point t, Var is the variance, and Cov is the covariance; The first preset model is constructed by the following formula: where T is the preset time period, is the average wind turbine power generation per unit area, is the average photovoltaic power generation per unit area; The determination of the optimal wind-solar installed capacity is determined by the following formula: where C res is the optimal installed capacity of wind and solar power, is the DC channel capacity, is the maximum curtailment rate of wind and solar power; The second preset model is constructed by the following formula: In the formula, is the annual utilization hours of the lowest DC channel, w res is the electricity output within the preset time period.

2. A device for determining the optimal wind and solar power installed capacity, characterized in that: Including: A first acquisition module for obtaining the wind power generation power and photovoltaic power generation power per unit area within a preset time period; A first data processing module for inputting the wind power generation power and the photovoltaic power generation power into a first preset model to obtain the optimal ratio of the wind turbine equipment to the photovoltaic equipment; wherein, the optimal ratio is the ratio of the wind turbine equipment to the photovoltaic equipment with the smallest volatility of the wind-solar power generation power; A second acquisition module for obtaining the DC channel capacity and the maximum wind and light curtailment rates; A second data processing module for inputting the optimal ratio, the DC channel capacity and the maximum wind and light curtailment rates into a second preset model to obtain the optimal wind-solar installed capacity; The optimal ratio is determined by the following formula: Where α is the optimal ratio, t is the time point within the preset time period, and p pv(t) is the photovoltaic power generation per unit area at time point t, and p w(t) is the wind turbine power generation per unit area at time point t, Var is the variance, and Cov is the covariance; The first preset model is constructed by the following formula: Where T is the preset time period, is the average power generation of the wind turbines per unit area, is the average power generation of the photovoltaic panels per unit area; The determination of the optimal wind-solar installed capacity is determined by the following formula: Wherein, C res is the optimal installed capacity of wind and light, is the capacity of the DC channel, is the maximum rate of wind and light curtailment; The second preset model is constructed by the following formula: Wherein, is the annual utilization hours of the lowest DC channel, w res is the electricity output within the preset time period.

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