Method and device for determining optimal wind and light installed capacity

Abstract

The invention relates to the technical field of computers, in particular to a method and device for determining the optimal wind and light installed capacity. The method comprises the following steps: obtaining the fan power generation power and the photovoltaic power generation power of a unit area in a preset time period, inputting the fan power generation power and the photovoltaic power generation power into a first preset model, and obtaining the optimal proportion of fan equipment to photovoltaic equipment, the optimal proportion is the proportion of the fan device and the photovoltaic device with the minimum wind and light generation power fluctuation, obtaining the direct current channel capacity and the maximum wind and light abandoning rate, and inputting the optimal proportion, the direct current channel capacity and the maximum wind and light abandoning rate into a second preset model to obtain the optimal wind and light installed capacity. The technical problem of how to improve the efficiency of calculating the optimal wind and light installed capacity can be solved.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method and device for determining an optimal wind-solar installed capacity. Background Art

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

[0003] In related technologies, the optimization of wind and solar installed capacity is mainly determined through long-term operation simulation methods, which are computationally complex and have low efficiency.

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

[0005] In order to solve the technical problem of how to improve the efficiency of calculating the optimal wind-solar installed capacity, an embodiment of the present invention provides a method and device for determining the optimal wind-solar installed capacity.

[0006] In a first aspect, an embodiment of the present invention provides a method for determining an optimal wind and solar power installed capacity, comprising:

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

[0008] Input the wind turbine power generation and the photovoltaic power generation into a first preset model to obtain an optimal ratio of wind turbine equipment to photovoltaic equipment; wherein the optimal ratio is a ratio of wind turbine equipment to photovoltaic equipment with the smallest fluctuation of wind and photovoltaic power generation;

[0009] Obtain the DC channel capacity and the maximum wind and solar power abandonment rate;

[0010] The optimal ratio, the DC channel capacity and the maximum wind and solar power abandonment rate are input into a second preset model to obtain the optimal wind and solar power installed capacity.

[0011] In a second aspect, an embodiment of the present invention further provides a device for determining an optimal wind and solar power installed capacity, comprising:

[0012] The first acquisition module is used to acquire the wind turbine power generation and photovoltaic power generation per unit area within a preset time period;

[0013] A first data processing module is used to input the wind turbine power generation and the photovoltaic power generation into a first preset model to obtain an 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 fluctuation of wind and solar power generation;

[0014] The second acquisition module is used to obtain the DC channel capacity and the maximum wind and solar power abandonment rate;

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

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

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 is a flow chart of a method for determining an 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 a new energy output curve and a DC channel capacity provided by an embodiment of the present invention;

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

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

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

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

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

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

[0026] Fig. 9 This is a hardware architecture diagram of an electronic device in which a device for determining an optimal wind-solar installed capacity provided by an embodiment of the present invention is located. DETAILED DESCRIPTION

[0027] In order to make the purpose, 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 in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

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

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

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

[0031] Step 104: Obtain the DC channel capacity and the maximum wind and solar power abandonment rate;

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

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

[0034] Described below Figure 1 How the various steps are performed.

[0035] For step 100:

[0036] In one embodiment of the present invention, by drawing curves based on the historical output data of wind turbines and photovoltaics in the Shagohuang area, and determining the wind turbine power generation and photovoltaic power generation per unit area in the area through these curves, technical personnel in this field have a high degree of flexibility and autonomy in the actual application process. They can customize the preset time period according to the specific actual use situation. The advantage of this customized setting is very significant, and it can closely fit different research objectives, actual scenario requirements and special engineering requirements. For example, when technicians focus on studying the law of energy output changes in a specific season or a specific time period, they can select the corresponding time period for in-depth analysis in a targeted manner. In this way, the results obtained will be more targeted and practical, and can better meet the diverse needs in actual work.

[0037] In addition, in the field of new energy, especially when it comes to wind turbine power generation and photovoltaic power generation. Unit area usually refers to the area within a certain geographical area, measured in square meters (m 2 ) or per square kilometer (km 2 ) as a unit to count relevant data. For example, for photovoltaic power generation, the power per unit area refers to the electric power that can be generated by photovoltaic panels per square meter under specific lighting conditions; for wind turbine power generation, the power per unit area can be the electric power that can be generated by wind turbines installed on per square kilometer of land. However, in the present invention, the unit area of ​​wind turbine power generation and the unit area of ​​photovoltaic power generation are the same as per square meter or per square kilometer for calculation.

[0038] Regarding step 102:

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

[0040]

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

[0042] like Figure 2 As shown, in this embodiment, in the field of new energy (wind and solar) 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 changes in the power generation power of new energy at different time points, and it is unstable and intermittent. The DC channel capacity represents the upper limit of the electric energy that can be transmitted by the channel. When the total output of new energy exceeds the DC channel capacity, the phenomenon of wind and solar abandonment will occur. This is because the part of the new energy power that exceeds the transmission capacity of the DC channel cannot be effectively transmitted and has to be abandoned. On the contrary, when the total output of new energy is lower than the DC channel capacity, the DC channel will be idle and not fully utilized. This means that during these periods, although the DC channel has the ability to transmit electric energy, the channel resources are not effectively utilized due to insufficient power generation of new energy. In the most ideal case, if the total output of new energy is flat, that is, a stable output power is maintained, and it is exactly matched with the DC channel capacity, then there will be no wind and solar abandonment, and the DC channel utilization rate can reach 100%. In this state, the new energy power can be efficiently and stably transmitted through the DC channel.

[0043] In one 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 turbine power per unit area, is the average photovoltaic power generation per unit area.

[0046] like Figure 3As shown, in this embodiment, the ratio of wind turbine equipment to photovoltaic equipment aims to minimize the volatility of the total output (power generation) of new energy (wind and light). Wind turbine equipment and photovoltaic equipment each have unique power generation characteristics. Wind turbine power generation depends on wind resources, and its output will fluctuate with the change of wind speed. The instability of wind speed causes the wind turbine output to be intermittent and highly random. Photovoltaic equipment generates electricity based on light intensity and sunshine time. Daily changes in light conditions, seasonal changes, and weather factors will cause photovoltaic output to show obvious fluctuation characteristics. When the ratio of wind turbine equipment to photovoltaic equipment is reasonably adjusted, the complementary power generation characteristics of the two can be achieved to a certain extent. For example, when the light is sufficient during the day, the output of photovoltaic equipment is large, and if the wind is weak at this time, the output of the wind turbine is relatively small, but the high output of photovoltaic can make up for the deficiency of the wind turbine; at night or on cloudy days when the light is insufficient, the photovoltaic output drops sharply, and if the wind conditions are good at this time, the wind turbine can take on 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 is

[0048]

[0049] Simplifying the following formula, we have

[0050]

[0051] Where Var is the variance and Cov is the covariance.

[0052] Regarding step 104:

[0053] In one embodiment of the present invention, the DC channel capacity refers to the maximum DC power that can be safely and stably transmitted by the transmission channel in the DC transmission system. It is usually measured in power units such as megawatts (MW) or ten thousand kilowatts (10MW). Just like the maximum traffic volume that a highway can accommodate, the DC channel capacity represents the maximum power flow that this "power highway" can carry. The maximum wind and photovoltaic abandonment rate refers to the maximum proportion of wind power and photovoltaic power allowed to be abandoned in the power system. Technical personnel in this field can customize the DC channel capacity according to actual conditions. The maximum wind and photovoltaic abandonment rate refers to the "Clean Energy Absorption Action Plan (2018-2020)", which is taken as 5%.

[0054] Regarding step 106:

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

[0056]

[0057] In the formula, C res For the best wind and solar installed capacity, is the DC channel capacity, is the maximum wind and solar power abandonment rate.

[0058] like Figure 4 As shown, in this embodiment, the larger the installed capacity of new energy (wind and solar), the higher the total output curve, and the greater the amount of power delivered by the new energy base. Therefore, increasing the installed capacity of new energy will cause the total output curve of new energy to move upward. When the total output of new energy is greater than the capacity of the DC channel, the new energy base will be forced to "abandon wind and solar". When the abandonment rate of wind and solar of the new energy base reaches the maximum value, its power delivery is the largest, which corresponds to the optimal wind and solar installed capacity.

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

[0060]

[0061] In the formula, is the minimum annual utilization hours of the DC channel, w res The amount of electricity output during the preset time period.

[0062] In this embodiment, when the power output of the Shagohuang New Energy Base is the same, the fluctuation of the new energy output curve in the base should be minimized. Therefore, the proportion of wind turbines is taken as the value when the volatility of the total output of new energy is the smallest, that is, when the wind and light ratios in the new energy base are determined, the optimal installed capacity of new energy when the power output of the new energy base is maximized is determined. At the same time, in the new energy DC transmission system, in order to ensure the safe and stable operation and economic benefits of the power system, a series of operating constraints often need to be met. Here, the constraints are made by the number of hours of DC channel utilization and the maximum wind and light abandonment rate.

[0063] like Figure 5 , Figure 6 , Figure 7 As shown, in this embodiment, the method of the present invention and the existing random programming method are respectively used to calculate the installed capacity ratio of wind turbines in the Shagohuang New Energy Base and the corresponding annual utilization hours of the DC channel under this installed capacity ratio of wind turbines, and the optimization results of the two are very close. The installed capacity ratio of wind turbines calculated by the method of the present invention is 0.6678, and the annual utilization hours of the DC channel is 6350h; the installed capacity ratio of wind turbines calculated by the random programming method is 0.6819, and the annual utilization hours of the DC channel is 6331h. The time required for the calculation process using random programming is 158.13s, and the time required for the calculation process using the method of the present invention is only 1.2s. 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, The optimal ratio calculated by the method used in the present invention; The annual utilization hours of the DC channel are calculated by the method used in the present invention; is the optimal proportion calculated by random programming method; The annual utilization hours of the DC channel are calculated using the stochastic programming method.

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

[0066] like Figure 8 As shown, this embodiment provides a device for determining an optimal wind-solar installed capacity, the device comprising:

[0067] The first acquisition module 800 is used to acquire the wind turbine power generation and photovoltaic power generation per unit area within a preset time period;

[0068] A first data processing module 802 is used to input the wind turbine power generation and the photovoltaic power generation into a first preset model to obtain an 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 fluctuation of wind and photovoltaic power generation;

[0069] The second acquisition module 804 is used to obtain the DC channel capacity and the maximum wind and solar power abandonment rate;

[0070] The second data processing module 806 is used to input the optimal ratio, the DC channel capacity and the maximum wind and solar power abandonment rate into a second preset model to obtain the optimal wind and solar power 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 one embodiment of the present invention, the optimal ratio is determined by the following formula:

[0073]

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

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

[0076]

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

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

[0079]

[0080] In the formula, C res For the optimal wind and solar installed capacity, is the DC channel capacity, is the maximum wind and solar power abandonment rate.

[0081] In one 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 It is the amount of electricity output during the preset time period.

[0084] It is understandable that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on a device for determining an optimal wind-solar installed capacity. In other embodiments of the present invention, a device for determining an optimal wind-solar installed capacity may include more or fewer components than shown in the figure, or combine certain components, or split certain components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0085] The information interaction, execution process and other contents between the modules in the above-mentioned device are based on the same concept as the embodiment of the method of the present invention. For specific contents, please refer to the description in the embodiment of the method of the present invention, and no further description is given here.

[0086] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, a method for determining an optimal wind-solar installed capacity in any embodiment of the present invention is implemented.

[0087] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the processor executes a method for determining an optimal wind-solar installed capacity in any embodiment of the present invention.

[0088] Specifically, a system or device equipped with a storage medium can be provided, on which software program codes that implement the functions of any of the above-mentioned embodiments are stored, and a computer (or CPU or MPU) of the system or device can be enabled to read and execute the program codes stored in the storage medium.

[0089] In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.

[0090] The storage medium embodiments for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card, and a ROM. Alternatively, the program code can be downloaded from a server computer by a communication network.

[0091] In addition, it should be clear that the functions of any of the above embodiments can be implemented not only by executing the program code read by the computer, but also by enabling an operating system operating on the computer to complete part or all of the actual operations based on instructions from the program code.

[0092] In addition, it can be understood that the program code read from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion module connected to the computer, and then based on the instructions of the program code, a CPU installed on the expansion board or expansion module is enabled to perform part or all of the actual operations, thereby realizing the functions of any of the above-mentioned embodiments.

[0093] It should be noted that, in this article, 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 terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0094] A person 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, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk, etc., various media that can store program codes.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions 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: include: Obtain wind turbine power generation and photovoltaic power generation per unit area within a preset time period; Input the wind turbine power generation and the photovoltaic power generation into a first preset model to obtain an 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 fluctuation of wind and photovoltaic power generation; Obtain the DC channel capacity and the maximum wind and solar power abandonment rate; The optimal ratio, the DC channel capacity and the maximum wind and solar power abandonment rate are input into a second preset model to obtain the optimal wind and solar power installed capacity.

2. The method according to claim 1, characterized in that The optimal ratio is determined by the following formula: Wherein, α is the optimal ratio, t is the time point within the preset time period, and p is pv(t) is the photovoltaic power per unit area at time t, p w(t) is the wind turbine power per unit area at time point t, Var is the variance, and Cov is the covariance.

3. The method according to claim 2, characterized in that The first preset model is constructed by the following formula: Wherein, T is the preset time period, is the average wind turbine power per unit area, is the average photovoltaic power generation per unit area.

4. The method according to claim 3, characterized in that The optimal wind and solar installed capacity is determined by the following formula: In the formula, C res For the optimal wind and solar installed capacity, is the DC channel capacity, is the maximum wind and solar power abandonment rate.

5. The method according to claim 4, characterized in that The second preset model is constructed by the following formula: In the formula, is the minimum annual utilization hours of the DC channel, w res It is the amount of electricity output during the preset time period.

6. A device for determining the optimal wind and solar power installed capacity, characterized in that: include: The first acquisition module is used to acquire the wind turbine power generation and photovoltaic power generation per unit area within a preset time period; A first data processing module is used to input the wind turbine power generation and the photovoltaic power generation into a first preset model to obtain an 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 fluctuation of wind and solar power generation; The second acquisition module is used to obtain the DC channel capacity and the maximum wind and solar power abandonment rate; The second data processing module is used to input the optimal ratio, the DC channel capacity and the maximum wind and solar power abandonment rate into a second preset model to obtain the optimal wind and solar power installed capacity.

7. The device according to claim 6, characterized in that The optimal ratio is determined by the following formula: Wherein, α is the optimal ratio, t is the time point within the preset time period, and p is pv(t) is the photovoltaic power per unit area at time t, p w(t) is the wind turbine power per unit area at time point t, Var is the variance, and Cov is the covariance.

8. The device according to claim 6, characterized in that The first preset model is constructed by the following formula: Wherein, T is the preset time period, is the average wind turbine power per unit area, is the average photovoltaic power generation per unit area.

9. The device according to claim 6, characterized in that The optimal wind and solar installed capacity is determined by the following formula: In the formula, C res For the optimal wind and solar installed capacity, is the DC channel capacity, is the maximum wind and solar power abandonment rate.

10. The device according to claim 6, characterized in that The second preset model is constructed by the following formula: In the formula, is the minimum annual utilization hours of the DC channel, w res It is the amount of electricity output during the preset time period.

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