Method and device for determining maximum loss hours of wind-solar power station and regulating and controlling operation of wind-solar power station

Abstract

The invention provides a method and a device for determining the maximum loss hours of a wind-solar power station and regulating and controlling operation, and the method comprises the steps: determining the maximum loss hours of photovoltaic power based on historical photovoltaic power generation data and environmental data, and determining the maximum loss hours of wind power based on historical wind power generation data and environmental data; and calculating the total maximum loss hour number of the target electric field based on the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, the photovoltaic power generation loss coefficient, the wind power maximum loss hour number and the photovoltaic maximum loss hour number. The problem that a traditional calculation method for the maximum load loss hours is limited to a pure wind state or a pure light state is solved, environmental data are comprehensively considered, and a calculation scheme for the maximum load loss hours of wind-solar complementary new energy collection lines of different wind-solar ratios, different regions and the like is given. The method provides more accurate data for the economic current density calculation of the wind-solar complementary overhead transmission line, is beneficial to improving the planned operating benefits of the transmission line, and also conforms to the time background of energy conservation and emission reduction.

Description

Technical Field

[0001] The present disclosure relates to the technical field of wind-solar hybrid power generation, and particularly to a method and device for determining the maximum loss hours and operating regulation of a wind-solar power station. Background Art

[0002] The maximum load loss hours is one of the important indicators for calculating the economic current density of a transmission line and serves as an important reference for the economic selection of conductors. Currently, under the background of the "dual carbon goal", wind power generation and photovoltaic power generation have received a great deal of attention, and the technical field of wind-solar hybrid power generation has also developed vigorously. However, the annual maximum load loss hours in the prior art are generally calculated by directly multiplying the maximum load utilization hours by a proportionality coefficient, and are limited to the state of pure wind or pure light. There is a lack of research on the calculation of the maximum load loss hours of the wind-solar hybrid new energy collection line for different wind-solar ratios and different regions, and accurate data cannot be provided for the calculation of the economic current density of the overhead transmission line for wind-solar hybrid. Summary of the Invention

[0003] The present disclosure aims to solve at least one of the technical problems in the related art to some extent.

[0004] To this end, an object of the present disclosure is to propose a method for determining the maximum loss hours of a wind-solar power station.

[0005] A second object of the present disclosure is to propose a method for operating regulation of a wind-solar power station.

[0006] A third object of the present disclosure is to propose a device for determining the maximum loss hours of a wind-solar power station.

[0007] A fourth object of the present disclosure is to propose a device for operating regulation of a wind-solar power station.

[0008] A fifth object of the present disclosure is to propose an electronic device.

[0009] A sixth object of the present disclosure is to propose a non-transitory computer-readable storage medium.

[0010] A seventh object of the present disclosure is to propose a computer program product.

[0011] To achieve the above object, an embodiment of the first aspect of the present disclosure provides a method for determining the maximum loss hours of a wind-solar power station, including: obtaining historical wind power generation data, historical photovoltaic power generation data, and environmental data of a target power plant, and obtaining a wind-solar coupling compensation coefficient, a wind power generation loss coefficient, and a photovoltaic power generation loss coefficient; determining the maximum photovoltaic loss hours of the target power plant based on the historical photovoltaic power generation data and the environmental data, and determining the maximum wind power loss hours of the target power plant based on the historical wind power generation data and the environmental data; calculating the overall maximum loss hours of the target power plant based on the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, the photovoltaic power generation loss coefficient, the maximum wind power loss hours, and the maximum photovoltaic loss hours.

[0012] According to an embodiment of the present disclosure, the method for determining the maximum loss hours of the wind-solar power station further includes: the calculating the overall maximum loss hours of the target power plant based on the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, the photovoltaic power generation loss coefficient, the maximum wind power loss hours, and the maximum photovoltaic loss hours includes: multiplying the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, and the maximum wind power loss hours to calculate a first factor; and multiplying the wind-solar coupling compensation coefficient, the photovoltaic power generation loss coefficient, and the maximum photovoltaic loss hours to calculate a second factor; adding the first factor and the second factor to calculate the overall maximum loss hours.

[0013] According to an embodiment of the present disclosure, the method for determining the maximum loss hours of the wind-solar power station further includes: the environmental data includes the daily sunshine hours of the region where the target power plant is located, and the determining the maximum photovoltaic loss hours of the target power plant based on the historical photovoltaic power generation data and the environmental data includes: obtaining the maximum load utilization hours of the photovoltaic power of the target power plant; calculating the maximum photovoltaic loss hours of the target power plant based on the maximum load utilization hours of the photovoltaic power and the sunshine hours.

[0014] According to an embodiment of the present disclosure, the calculation formula for calculating the maximum photovoltaic loss hours of the target power plant based on the maximum load utilization hours of the photovoltaic power and the sunshine hours is: wherein, the T max is the maximum load utilization hours, the T k is the sunshine hours on the k-th day, and the τ 光 is the

[0015] According to an embodiment of the present disclosure, the historical photovoltaic power generation data includes the total photovoltaic power generation of the target power plant. Obtaining the maximum load utilization hours of the photovoltaic power of the target power plant includes: obtaining the maximum load power of the photovoltaic power of the target power plant; dividing the total photovoltaic power generation by the maximum load power of the photovoltaic power to obtain the maximum load utilization hours of the photovoltaic power.

[0016] According to an embodiment of the present disclosure, the environmental data includes the wind power generation power per hour of the target power plant. Determining the maximum loss hours of the photovoltaic power of the target power plant based on the historical photovoltaic power generation data and the environmental data includes: obtaining the maximum load power of the wind power of the target power plant; calculating the maximum loss hours of the photovoltaic power of the target power plant based on the maximum load power of the wind power and the wind power generation power.

[0017] According to an embodiment of the present disclosure, the formula for calculating the maximum loss hours of the photovoltaic power of the target power plant based on the maximum load power of the wind power and the wind power generation power is: wherein, the τ 风 is the maximum loss hours of the photovoltaic power, the P 风 is the wind power generation power, and the P max风 is the maximum load power of the wind power.

[0018] To achieve the above object, an embodiment of the second aspect of the present disclosure provides a method for operating and regulating a wind-solar power plant, including: obtaining historical wind power generation data, historical photovoltaic power generation data, and environmental data of a target power plant; processing the historical wind power generation data, the historical photovoltaic power generation data, and the environmental data based on the method for determining the maximum loss hours of the wind-solar power plant as described in the embodiment of the first aspect to determine the overall maximum loss hours of the target power plant; determining the economic current density of the target power plant based on the overall maximum loss hours; and regulating the target power plant based on the economic current density and a preset regulation condition.

[0019] To achieve the above object, an embodiment of the third aspect of the present disclosure provides a device for determining the maximum loss hours of a wind-solar power station, including: an acquisition module, configured to acquire historical wind power generation data, historical photovoltaic power generation data, and environmental data of a target power plant, and acquire a wind-solar coupling compensation coefficient, a wind power generation loss coefficient, and a photovoltaic power generation loss coefficient; a determination module, configured to determine the maximum photovoltaic loss hours of the target power plant based on the historical photovoltaic power generation data and the environmental data, and determine the maximum wind power loss hours of the target power plant based on the historical wind power generation data and the environmental data; and a calculation module, configured to calculate the overall maximum loss hours of the target power plant based on the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, the photovoltaic power generation loss coefficient, the maximum wind power loss hours, and the maximum photovoltaic loss hours.

[0020] To achieve the above object, an embodiment of the fourth aspect of the present disclosure provides a device for operating and regulating a wind-solar power station, including: acquiring historical wind power generation data, historical photovoltaic power generation data, and environmental data of a target power plant; processing the historical wind power generation data, the historical photovoltaic power generation data, and the environmental data based on the method for determining the maximum loss hours of a wind-solar power station according to the embodiment of the first aspect to determine the overall maximum loss hours of the target power plant; determining the economic current density of the target power plant based on the overall maximum loss hours; and regulating the target power plant based on the economic current density and a preset regulation condition.

[0021] To achieve the above object, an embodiment of the fifth aspect of the present disclosure provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the method for determining the maximum loss hours of a wind-solar power station according to the embodiment of the first aspect of the present disclosure, and the method for operating and regulating a wind-solar power station according to the embodiment of the second aspect of the present disclosure.

[0022] To achieve the above object, an embodiment of the sixth aspect of the present disclosure provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the method for determining the maximum loss hours of a wind-solar power station according to the embodiment of the first aspect of the present disclosure, and the method for operating and regulating a wind-solar power station according to the embodiment of the second aspect of the present disclosure.

[0023] To achieve the above object, an embodiment of the seventh aspect of the present disclosure provides a computer program product, including a computer program, where the computer program is used to implement the method for determining the maximum loss hours of a wind-solar power station according to the embodiment of the first aspect of the present disclosure, and the method for operating and regulating a wind-solar power station according to the embodiment of the second aspect of the present disclosure when being executed by a processor.

[0024] This solves the problem that the traditional calculation method of the maximum load loss hours is only limited to the pure wind or pure light state. By comprehensively considering environmental data, a calculation scheme for the maximum load loss hours of the new energy integration line of wind-solar complementary for different wind-solar ratios and different regions is given, providing more accurate data for the calculation of the economic current density of the overhead transmission line of wind-solar complementary. This is not only beneficial to improving the operating efficiency of the transmission line, but also in line with the background of the times of energy conservation and emission reduction. Description of the Drawings

[0025] Figure 1 It is a schematic diagram of a method for determining the maximum loss hours of a wind-solar power station according to an embodiment of the present disclosure;

[0026] Figure 2 It is a schematic diagram of another method for determining the maximum loss hours of a wind-solar power station according to an embodiment of the present disclosure;

[0027] Figure 3 It is a schematic diagram of another method for determining the maximum loss hours of a wind-solar power station according to an embodiment of the present disclosure;

[0028] Figure 4 It is a schematic diagram of another method for determining the maximum loss hours of a wind-solar power station according to an embodiment of the present disclosure;

[0029] Figure 5 It is a schematic diagram of a method for operating and controlling a wind-solar power station according to an embodiment of the present disclosure;

[0030] Figure 6 It is a schematic diagram of a device for determining the maximum loss hours of a wind-solar power station according to an embodiment of the present disclosure;

[0031] Figure 7 It is a schematic diagram of another device for determining the maximum loss hours of a wind-solar power station according to an embodiment of the present disclosure;

[0032] Figure 8 It is a schematic diagram of an electronic device according to an embodiment of the present disclosure. Detailed Embodiments

[0033] The embodiments of the present disclosure will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0034] In the technical solution of the present disclosure, the acquisition, storage, use, processing, etc. of data all comply with the relevant regulations of relevant laws and regulations.

[0035] It should be noted that in the embodiments of the present application, some existing solutions in the industry such as certain software, components, models, etc. may be mentioned. They should be considered exemplary. The purpose is only to illustrate the feasibility in the implementation of the technical solution of the present application, but it does not mean that the applicant has already or necessarily used this solution.

[0036] Figure 1 is a schematic diagram of a method for determining the maximum loss hours of a wind-solar power station according to an embodiment of the present disclosure. As Figure 1 shown, the method for determining the maximum loss hours of the wind-solar power station includes the following steps:

[0037] S101, obtain the historical wind power generation data, historical photovoltaic power generation data and environmental data of the target power station, and obtain the wind-solar coupling compensation coefficient, wind power generation loss coefficient and photovoltaic power generation loss coefficient.

[0038] It should be noted that the power station in the embodiments of the present disclosure is a comprehensive power station for wind power generation and photovoltaic power generation, and is a power station applying the wind-solar complementary power generation technology. The wind-solar complementary power generation technology combines the advantages of wind power generation and photovoltaic power generation. By integrating these two renewable energy resources, a more stable and reliable power supply is achieved. This technology makes full use of the complementary characteristics of wind energy and solar energy, that is, wind power generation can also generate electricity at night and on cloudy days, while photovoltaic power generation performs better during the day, especially on sunny days. In this way, the intermittency and volatility problems of a single energy system can be effectively overcome, and the stability and reliability of the energy system can be improved.

[0039] The method for determining the maximum loss hours of the wind-solar power station in the embodiments of the present application can be applied to the scenario of regulating a comprehensive power station for wind power generation and photovoltaic power generation. The execution subject of determining the maximum loss hours of the wind-solar power station in the embodiments of the present application can be the device for determining the maximum loss hours of the wind-solar power station in the embodiments of the present application, and this device for determining the maximum loss hours of the wind-solar power station can be set on an electronic device.

[0040] It should be noted that the historical wind power generation data and historical photovoltaic power generation data can include various types, and no specific limitation is made here. For example, the historical wind power generation data and historical photovoltaic power generation data can include the historical maximum wind power generation power, maximum photovoltaic power generation power, etc.

[0041] The environmental data can include various types, and no specific limitation is made here. For example, the environmental data can include the light data, wind energy data, etc. of the area where the target power station is located.

[0042] In the embodiments of the present disclosure, the wind-solar coupling compensation coefficient is the synergistic effect of the combined power generation of wind power and photovoltaic power in the wind-solar complementary system, specifically the ratio of the total loss of the wind-solar collection line to the sum of the losses of the wind power line and the photovoltaic power line.

[0043] To maintain the normal operation of wind power generation and photovoltaic power generation equipment, or during the process of power transmission, a part of the power will be consumed, that is, there is a certain proportion of loss. The wind power generation loss coefficient is the proportion of the loss of wind power generation, and the photovoltaic power generation loss coefficient is the proportion of the loss of photovoltaic power generation.

[0044] It should be noted that the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, and the photovoltaic power generation loss coefficient are different in different electric fields. Therefore, they need to be determined according to the actual working conditions of the target electric field.

[0045] In the embodiments of the present disclosure, there can be various methods for obtaining the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, and the photovoltaic power generation loss coefficient, and no limitation is made here.

[0046] In one possible implementation manner, it can be obtained through experiments.

[0047] In another possible implementation manner, it can also be obtained after analyzing historical wind power generation data and historical photovoltaic power generation data.

[0048] S102, determining the maximum photovoltaic loss hours of the target electric field based on historical photovoltaic power generation data and environmental data, and determining the maximum wind power loss hours of the target electric field based on historical wind power generation data and environmental data.

[0049] In the embodiments of the present disclosure, the maximum loss hours is the time required for the actual loss value under the premise of the maximum power of wind power generation or photovoltaic power generation, and it is an important indicator for evaluating the operation efficiency and economy of the electric field.

[0050] In the embodiments of the present disclosure, there can be various methods for determining the maximum photovoltaic loss hours of the target electric field based on historical photovoltaic power generation data and environmental data, and determining the maximum wind power loss hours of the target electric field based on historical wind power generation data and environmental data, and no limitation is made here.

[0051] In one possible implementation manner, the historical photovoltaic power generation data and environmental data can be calculated through the maximum photovoltaic loss hours algorithm to calculate and obtain the maximum photovoltaic loss hours, or the historical wind power generation data and environmental data can be calculated through the maximum wind power loss hours algorithm to calculate and obtain the maximum wind power loss hours. The maximum photovoltaic loss hours algorithm and the maximum wind power loss hours algorithm are designed in advance and can be changed according to actual design needs, and no limitation is made here.

[0052] In another possible implementation, the historical photovoltaic power generation data and environmental data or the historical wind power generation data and environmental data can also be input into the hour number generation model to correspondingly generate the maximum photovoltaic loss hours or the maximum wind power loss hours. The hour number generation model is pre-trained and stored in the storage space of the electronic device for convenient retrieval and use when needed.

[0053] S103. Calculate the overall maximum loss hours of the target electric field based on the wind-solar coupling compensation coefficient, wind power generation loss coefficient, photovoltaic power generation loss coefficient, maximum wind power loss hours, and maximum photovoltaic loss hours.

[0054] In the embodiments of the present disclosure, first, the historical wind power generation data, historical photovoltaic power generation data, and environmental data of the target electric field are obtained, and the wind-solar coupling compensation coefficient, wind power generation loss coefficient, and photovoltaic power generation loss coefficient are obtained. Then, the maximum photovoltaic loss hours of the target electric field are determined based on the historical photovoltaic power generation data and environmental data, and the maximum wind power loss hours of the target electric field are determined based on the historical wind power generation data and environmental data. Finally, the overall maximum loss hours of the target electric field are calculated based on the wind-solar coupling compensation coefficient, wind power generation loss coefficient, photovoltaic power generation loss coefficient, maximum wind power loss hours, and maximum photovoltaic loss hours. Thereby, the problem that the traditional calculation method of the maximum load loss hours is only limited to the pure wind or pure light state is solved. Considering the environmental data comprehensively, a calculation scheme for the maximum load loss hours of the wind-solar complementary new energy collection line with different wind-solar ratios and different regions is given, providing more accurate data for the calculation of the economic current density of the overhead transmission line for wind-solar complementarity, which is not only beneficial to improving the operating efficiency of the transmission line but also conforms to the background of the times of energy conservation and emission reduction.

[0055] In the above embodiments, to calculate the overall maximum loss hours of the target electric field based on the wind-solar coupling compensation coefficient, wind power generation loss coefficient, photovoltaic power generation loss coefficient, maximum wind power loss hours, and maximum photovoltaic loss hours, it can also be through Figure 2 For further explanation, the method includes:

[0056] S201. Multiply the wind-solar coupling compensation coefficient, wind power generation loss coefficient, and maximum wind power loss hours to calculate and obtain the first factor.

[0057] S202. And multiply the wind-solar coupling compensation coefficient, photovoltaic power generation loss coefficient, and maximum photovoltaic loss hours to calculate and obtain the second factor.

[0058] S203. Add the first factor and the second factor to calculate and obtain the overall maximum loss hours.

[0059] In the embodiments of the present disclosure, the formula for calculating the overall maximum loss hours is:

[0060]

[0061] Among them, τ max is the total maximum loss hours, is the wind-solar coupling compensation coefficient, A is the wind power generation loss coefficient, and B is the photovoltaic power generation loss coefficient.

[0062] In the above embodiments, the environmental data includes the daily sunshine hours in the area where the target power plant is located. The photovoltaic maximum loss hours of the target power plant are determined based on historical photovoltaic power generation data and environmental data, and can also be obtained through Figure 3 For further explanation, the method includes:

[0063] S301, obtaining the photovoltaic maximum load utilization hours of the target power plant.

[0064] It should be noted that the daily sunshine hours in the area where the target power plant is located can be obtained by analyzing historical environmental data. For example, the average value of the sunshine hours in the past few years can be calculated as the sunshine hours used in this embodiment.

[0065] S302, calculating and obtaining the photovoltaic maximum loss hours of the target power plant based on the photovoltaic maximum load utilization hours and the sunshine hours.

[0066] In the embodiments of the present disclosure, based on the modified semi-sine theory of total solar radiation, the new photovoltaic output power model of the correlation coefficient is:

[0067]

[0068] Among them, P is the output power of the photovoltaic power station, ω is the maximum load utilization rate of the photovoltaic power station, Tk is the sunshine hours of the day; Pmax is the maximum load power.

[0069] The correlation model of the annual photovoltaic power generation W of the photovoltaic power station and coefficients such as ω is established as:

[0070]

[0071] It should be noted that the historical photovoltaic power generation data includes the total photovoltaic power generation of the target power plant. To obtain the photovoltaic maximum load utilization hours of the target power plant, the maximum load power of the photovoltaic power station can be obtained first, and then the total photovoltaic power generation is divided by the maximum load power of the photovoltaic power station to obtain the photovoltaic maximum load utilization hours.

[0072] According to the definition of the annual photovoltaic power generation and the maximum load utilization hours Tmax: If the load always remains equal to the maximum value Pmax, the electric energy consumed after Tmax hours is exactly equal to the actual annual power consumption W, and we can get:

[0073]

[0074] Furthermore, the maximum load utilization rate ω is calculated as follows:

[0075]

[0076] If the power transmitted in the line remains at the maximum load power Smax, then the energy loss within τ hours is exactly equal to the actual annual power loss ΔA. Thus, the maximum load loss hours τ are:

[0077]

[0078] When the operating terminal voltage is basically constant and the power factor is close to 1, then:

[0079]

[0080] According to the above method for calculating the maximum load loss hours of the new energy collection line, substituting the new photovoltaic output P into the calculation formula of τ gives:

[0081]

[0082] Finally, the maximum load loss hours τ_photo of the photovoltaic power station are determined as:

[0083]

[0084] where T max is the maximum load utilization hours, T k is the sunshine hours on the k-th day, and τ 光 is the maximum photovoltaic loss hours.

[0085] In the above embodiment, the environmental data includes the hourly wind power generation power of the target power plant. Based on the historical photovoltaic power generation data and environmental data, the maximum photovoltaic loss hours of the target power plant are determined. It can also be further explained through Figure 4 The method includes:

[0086] S401, obtaining the maximum wind load power of the target power plant.

[0087] S402, calculating the maximum photovoltaic loss hours of the target power plant based on the maximum wind load power and the wind power generation power.

[0088] It should be noted that the wind speed frequency curve and the output of wind energy generally conform to the Weibull distribution, and its two-parameter probability density function is as follows:

[0089]

[0090] Combined with the power curve of the fan, a flat-top corrected Weibull distribution for the electrical energy output of the fan is proposed. By analogy with photovoltaic power generation, the maximum load loss hours τ_wind of wind power generation in a wind farm are finally determined as follows:

[0091]

[0092] where τ 风 is the maximum loss hours of photovoltaic power generation, P 风 is the wind power generation power, and P max风 is the maximum load power of wind power generation.

[0093] In the embodiments of the present disclosure, the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, and the photovoltaic power generation loss coefficient are calculated and obtained through the following formulas:

[0094] The actual electrical energy loss of pure photovoltaic power generation is:

[0095]

[0096] The actual electrical energy loss of pure wind power generation is:

[0097]

[0098] The actual electrical energy loss of the wind-solar collection line is:

[0099]

[0100] Expanding gives:

[0101]

[0102] Denote

[0103] Then ΔA 总 = ΔA 风 + ΔA 光 + ΔA 耦合

[0104] Respectively establish the correlation formulas between the actual electrical energy loss ΔA 光 of photovoltaic power generation and τ_photovoltaic, and the actual electrical energy loss ΔA 风 of wind power generation and τ_wind:

[0105]

[0106] According to the wind-solar complementary power generation collection line model, the wind-solar coupling compensation coefficient φ, the wind power generation loss coefficient A, and the photovoltaic power generation loss coefficient B are introduced to express the wind-solar complementary situation, and the expressions of each coefficient are established:

[0107]

[0108] Among them, k is the wind-solar ratio, which can be calculated through the following formula. It should be noted that the wind-solar ratio is pre-designed and can be determined according to the actual working conditions of the target power station.

[0109]

[0110] Figure 5 is a schematic diagram of a method for operating and regulating a wind-solar power station according to an embodiment of the present disclosure. As Figure 5 shown, the method for operating and regulating the wind-solar power station includes the following steps:

[0111] S501, obtain the historical wind power generation data, historical photovoltaic power generation data, and environmental data of the target power station.

[0112] The obtaining of the historical wind power generation data, historical photovoltaic power generation data, and environmental data of the target power station can refer to the content in the above-mentioned embodiments, which will not be elaborated here.

[0113] S502, process the historical wind power generation data, historical photovoltaic power generation data, and environmental data based on the method for determining the maximum loss hours of the wind-solar power station to determine the overall maximum loss hours of the target power station.

[0114] It should be noted that the method for determining the maximum loss hours of the wind-solar power station in the embodiments of the present disclosure is the method for determining the maximum loss hours of the wind-solar power station as shown in Figures 1-4 the embodiment.

[0115] S503, determine the economic current density of the target power station based on the overall maximum loss hours.

[0116] It should be noted that the economic current density refers to the current density in a conductor (such as a cable, busbar, etc.) under certain conditions in order to obtain the lowest unit investment cost. It is an important factor considered when designing a transmission line or electrical equipment, aiming to maximize economic benefits. The economic current density usually depends on various factors, including material cost, installation cost, operation cost, maintenance cost, and expected service life, etc.

[0117] In the embodiments of the present disclosure, after obtaining the overall maximum loss hours, there can be various methods for determining the economic current density of the target power station, which are not limited here.

[0118] In a possible implementation manner, the overall maximum loss hours can be input into the economic current density model to obtain the economic current density. The economic current density model is pre-designed and can be stored in the storage space of the electronic device for convenient retrieval and use when needed.

[0119] In another possible implementation, the overall maximum loss hours can also be calculated based on the economic current density algorithm to calculate and obtain the economic current density. The economic current density algorithm is pre-designed and can be changed according to actual design requirements. For example, the economic current density calculation formula can be:

[0120]

[0121] F = [1 + 1.07 * 1 + δ T N C

[0122] Q = 3PN p ρ 20 [1 + α 20 (θ m - 20)]

[0123]

[0124] Wherein, I is the line current, k r represents the proportionality coefficient of the part of the initial investment related to the wire cross-section, Q represents the line discount rate, P represents the rated transmission capacity of the line, N p is the number of phase wires per circuit, generally NP = 3, ρ 20 is the DC resistivity of the wire material at 20°C, α 20 is the resistance temperature coefficient of copper wire at 20°C, θ m is the conductor temperature, and J is the economic current density.

[0125] S504, regulate the target electric field based on the economic current density and the preset regulation conditions.

[0126] In the embodiments of the present disclosure, the regulation conditions are pre-designed and can be changed according to actual design requirements, and no specific limitations are made here. For example, the regulation conditions can be to minimize the economic current density on the premise of ensuring a certain power generation capacity. Optionally, it can also be to provide the maximum power generation capacity on the premise of ensuring that the economic current density is within a certain range.

[0127] In the embodiments of the present disclosure, first obtain the historical wind power generation data, historical photovoltaic power generation data, and environmental data of the target electric field, then process the historical wind power generation data, historical photovoltaic power generation data, and environmental data based on the method for determining the maximum loss hours of the wind-solar power station to determine the overall maximum loss hours of the target electric field, then determine the economic current density of the target electric field based on the overall maximum loss hours, and finally regulate the target electric field based on the economic current density and the preset regulation conditions. Thus, according to such as Figures 1-4The method for determining the maximum loss hours of a wind-solar power station shown in the embodiment can determine the overall maximum loss hours of the target electric field, improve the accuracy of the overall maximum loss hours and the economic current density, and thus provide an accurate data basis for subsequent regulation of the target electric field.

[0128] Corresponding to the methods for determining the maximum loss hours of a wind-solar power station provided in the above several embodiments, an embodiment of the present disclosure also provides a device for determining the maximum loss hours of a wind-solar power station. Since the device for determining the maximum loss hours of a wind-solar power station provided in the embodiments of the present disclosure corresponds to the methods for determining the maximum loss hours of a wind-solar power station provided in the above several embodiments, the implementation manners of the above methods for determining the maximum loss hours of a wind-solar power station are also applicable to the device for determining the maximum loss hours of a wind-solar power station provided in the embodiments of the present disclosure, and will not be described in detail in the following embodiments.

[0129] Figure 6 is a schematic diagram of a device for determining the maximum loss hours of a wind-solar power station according to an embodiment of the present disclosure, as Figure 6 shown, the device 600 for determining the maximum loss hours of a wind-solar power station includes: an acquisition module 610, a determination module 620, and a calculation module 630.

[0130] Among them, the acquisition module 610 is configured to acquire historical wind power generation data, historical photovoltaic power generation data, and environmental data of the target electric field, and acquire a wind-solar coupling compensation coefficient, a wind power generation loss coefficient, and a photovoltaic power generation loss coefficient.

[0131] The determination module 620 is configured to determine the maximum photovoltaic loss hours of the target electric field based on the historical photovoltaic power generation data and the environmental data, and determine the maximum wind power loss hours of the target electric field based on the historical wind power generation data and the environmental data.

[0132] The calculation module 630 is configured to calculate the overall maximum loss hours of the target electric field based on the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, the photovoltaic power generation loss coefficient, the maximum wind power loss hours, and the maximum photovoltaic loss hours.

[0133] According to an embodiment of the present disclosure, the method for determining the maximum loss hours of a wind-solar power station further includes: calculating the overall maximum loss hours of the target electric field based on the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, the photovoltaic power generation loss coefficient, the maximum wind power loss hours, and the maximum photovoltaic loss hours, including: multiplying the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, and the maximum wind power loss hours to calculate and obtain a first factor; and multiplying the wind-solar coupling compensation coefficient, the photovoltaic power generation loss coefficient, and the maximum photovoltaic loss hours to calculate and obtain a second factor; adding the first factor and the second factor to calculate and obtain the overall maximum loss hours.

[0134] According to an embodiment of the present disclosure, the method for determining the maximum loss hours of a wind-solar power station further includes: the environmental data includes the daily sunshine hours in the region where the target power station is located, and determining the maximum photovoltaic loss hours of the target power station based on historical photovoltaic power generation data and environmental data includes: obtaining the maximum load utilization hours of the photovoltaic of the target power station; calculating and obtaining the maximum photovoltaic loss hours of the target power station based on the maximum load utilization hours of the photovoltaic and the sunshine hours.

[0135] According to an embodiment of the present disclosure, the calculation formula for calculating and obtaining the maximum photovoltaic loss hours of the target power station based on the maximum load utilization hours of the photovoltaic and the sunshine hours is: where T max is the maximum load utilization hours, T k is the sunshine hours on the kth day, and τ 光 is.

[0136] According to an embodiment of the present disclosure, the historical photovoltaic power generation data includes the total photovoltaic power generation of the target power station. Obtaining the maximum load utilization hours of the photovoltaic of the target power station includes: obtaining the maximum photovoltaic load power of the target power station; dividing the total photovoltaic power generation by the maximum photovoltaic load power to obtain the maximum load utilization hours of the photovoltaic.

[0137] According to an embodiment of the present disclosure, the environmental data includes the wind power generation power per hour of the target power station. Determining the maximum photovoltaic loss hours of the target power station based on historical photovoltaic power generation data and environmental data includes: obtaining the maximum wind power load power of the target power station; calculating the maximum photovoltaic loss hours of the target power station based on the maximum wind power load power and the wind power generation power.

[0138] According to an embodiment of the present disclosure, the formula for calculating the maximum photovoltaic loss hours of the target power station based on the maximum wind power load power and the wind power generation power is: where τ 风 is the maximum photovoltaic loss hours, P 风 is the wind power generation power, and P max风 is the maximum wind power load power.

[0139] Thus, the problem that the traditional calculation method of the maximum load loss hours is only limited to the pure wind or pure light state is solved. By comprehensively considering the environmental data, a calculation scheme for the maximum load loss hours of the wind-solar complementary new energy collection line with different wind-solar ratios and different regions is given, providing more accurate data for the calculation of the economic current density of the overhead transmission line of wind-solar complementarity, which is not only beneficial to improving the operation efficiency of the transmission line, but also in line with the background of the times of energy conservation and emission reduction.

[0140] Corresponding to the wind-solar power station operation regulation methods provided in the above several embodiments, an embodiment of the present disclosure also provides a wind-solar power station operation regulation device. Since the wind-solar power station operation regulation device provided in the embodiments of the present disclosure corresponds to the wind-solar power station operation regulation methods provided in the above several embodiments, the implementation manners of the above wind-solar power station operation regulation methods are also applicable to the wind-solar power station operation regulation device provided in the embodiments of the present disclosure, and will not be described in detail in the following embodiments.

[0141] Figure 7 is a schematic diagram of a wind-solar power station operation regulation device according to an embodiment of the present disclosure. As Figure 7 shown, the wind-solar power station operation regulation device 700 includes: a collection module 710, a processing module 720, an operation module 730, and a regulation module 740.

[0142] Among them, the collection module is used to obtain the historical wind power generation data, historical photovoltaic power generation data, and environmental data of the target power station.

[0143] The processing module 720 is used to process the historical wind power generation data, historical photovoltaic power generation data, and environmental data based on the method for determining the maximum loss hours of the wind-solar power station to determine the overall maximum loss hours of the target power station.

[0144] The operation module 730 is used to determine the economic current density of the target power station based on the overall maximum loss hours.

[0145] The regulation module 740 is used to regulate the target power station based on the economic current density and preset regulation conditions.

[0146] Thus, by determining the overall maximum loss hours of the target power station according to the method for determining the maximum loss hours of the wind-solar power station shown in the Figures 1-4 embodiment, the accuracy of the overall maximum loss hours and the economic current density can be improved, thereby providing an accurate data basis for the subsequent regulation of the target power station.

[0147] To implement the above embodiments, an embodiment of the present disclosure also proposes an electronic device 800, Figure 8 is a schematic diagram of an electronic device according to an embodiment of the present disclosure. As Figure 8 shown, the electronic device 800 includes: a processor 801 and a memory 802 communicatively connected to the processor. The memory 802 stores instructions executable by at least one processor. The instructions are executed by at least one processor 801 to implement the method for determining the maximum loss hours of the wind-solar power station as in the Figures 1-4 embodiment of the present disclosure, and the wind-solar power station operation regulation method as in the Figure 5 embodiment.

[0148] To implement the above embodiments, embodiments of the present disclosure also propose a non-transitory computer-readable storage medium storing computer instructions, where the computer instructions are used to cause a computer to implement the method for determining the maximum loss hours of a wind-solar power station as in the embodiments of the present disclosure Figures 1-4 and the method for operating and controlling a wind-solar power station as in the Figure 5 embodiments of the present disclosure.

[0149] To implement the above embodiments, embodiments of the present disclosure also propose a computer program product, including a computer program, where the computer program, when executed by a processor, implements the method for determining the maximum loss hours of a wind-solar power station as in the embodiments of the present disclosure Figures 1-4 and the method for operating and controlling a wind-solar power station as in the Figure 5 embodiments of the present disclosure.

[0150] It should be noted that personal information from users should be collected for legal and reasonable purposes and should not be shared or sold outside of these legal uses. In addition, such collection / sharing should be carried out after obtaining the informed consent of the users, including but not limited to notifying the users to read the user agreement / user notice before using the function and signing an agreement / authorization including authorizing the relevant user information. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others with access to the personal information data comply with their privacy policies and procedures.

[0151] This application anticipates providing embodiments for users to selectively block the use or access of personal information data. That is, the present disclosure anticipates providing hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, the risk can be minimized by restricting data collection and deleting the data. In addition, when applicable, personal identifiers are removed from such personal information to protect the privacy of users.

[0152] In the description of the foregoing embodiments, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0153] In addition, the terms "first" and "second" are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In the description of this application, "a plurality of" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0154] Any process or method description represented in a flowchart or otherwise described herein can be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a customized logical function or process. The scope of the preferred embodiments of this application includes additional implementations where functions may be executed in a substantially simultaneous manner or in an order opposite to that shown or discussed, according to the functions involved, which should be understood by those skilled in the art to which the embodiments of this application pertain.

[0155] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing a logical function and can be specifically implemented in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device. For the purposes of this specification, a "computer-readable medium" can be any device that contains, stores, communicates, propagates, or transports a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, as the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other appropriate processing as necessary, and then storing it in a computer memory.

[0156] It should be understood that each part of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0157] Those of ordinary skill in the art can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0158] In addition, each functional unit in various embodiments of the present application can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. When the above integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0159] The above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for determining the maximum loss hours of a wind and solar power station, characterized in that: include: Obtain historical wind power generation data, historical photovoltaic power generation data and environmental data of the target electric field, and obtain wind-solar coupling compensation coefficient, wind power generation loss coefficient and photovoltaic power generation loss coefficient; Determine the maximum photovoltaic loss hours of the target electric field based on the historical photovoltaic power generation data and the environmental data, and determine the maximum wind power loss hours of the target electric field based on the historical wind power generation data and the environmental data; The overall maximum loss hours of the target electric field are calculated based on the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, the photovoltaic power generation loss coefficient, the wind power maximum loss hours and the photovoltaic maximum loss hours.

2. The method according to claim 1, characterized in that The calculating the overall maximum loss hours of the target electric field based on the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, the photovoltaic power generation loss coefficient, the wind power maximum loss hours and the photovoltaic maximum loss hours includes: Multiplying the wind-solar coupling compensation coefficient, the wind power generation loss coefficient and the maximum wind power loss hours to calculate and obtain a first factor; and multiplying the wind-solar coupling compensation coefficient, the photovoltaic power generation loss coefficient and the photovoltaic maximum loss hours to calculate and obtain a second factor; The first factor and the second factor are added together to calculate the overall maximum loss hours.

3. The method according to claim 1, characterized in that The environmental data includes the number of daily sunshine hours in the area where the target electric field is located, and the determining the maximum photovoltaic loss hours of the target electric field based on the historical photovoltaic power generation data and the environmental data includes: Obtaining the maximum photovoltaic load utilization hours of the target electric field; The maximum photovoltaic loss hours of the target electric field are obtained by calculation based on the maximum photovoltaic load utilization hours and the sunshine hours.

4. The method according to claim 3, characterized in that The calculation formula for calculating the maximum photovoltaic loss hours of the target electric field based on the photovoltaic maximum load utilization hours and the sunshine hours is: Among them, the T max is the maximum load utilization hours, the T k is the number of sunshine hours on the kth day, the τ 光 is the maximum photovoltaic loss hours.

5. The method according to claim 3, characterized in that: The historical photovoltaic power generation data includes the total photovoltaic power generation of the target electric field, and the step of obtaining the photovoltaic maximum load utilization hours of the target electric field includes: Obtaining the maximum photovoltaic load power of the target electric field; The total photovoltaic power generation is divided by the photovoltaic maximum load power to obtain the photovoltaic maximum load utilization hours.

6. The method according to claim 1, characterized in that The environmental data includes the hourly wind power generation power of the target electric field, and the determining the maximum photovoltaic loss hours of the target electric field based on the historical photovoltaic power generation data and the environmental data includes: Obtaining the maximum load power of wind power of the target electric field; The maximum photovoltaic loss hours of the target electric field are calculated based on the wind power maximum load power and the wind power generation power.

7. The method according to claim 6, characterized in that The formula for calculating the maximum photovoltaic loss hours of the target electric field based on the wind power maximum load power and the wind power generation power is: Among them, the τ 风 is the maximum photovoltaic loss hours, the P 风 is the wind power generation power, the P max风 is the maximum load power of wind power.

8. A method for controlling the operation of a wind and solar power station, characterized in that: include: Obtain historical wind power generation data, historical photovoltaic power generation data and environmental data of the target electric field; Processing the historical wind power generation data, the historical photovoltaic power generation data and the environmental data based on the method for determining the maximum loss hours of a wind-solar power station according to any one of claims 1 to 7 to determine the overall maximum loss hours of the target electric field; determining the economic current density of the target electric field based on the overall maximum loss hours; The target electric field is regulated based on the economic current density and preset regulation conditions.

9. A device for determining the maximum loss hours of a wind and solar power station, characterized in that: include: An acquisition module is used to acquire historical wind power generation data, historical photovoltaic power generation data and environmental data of the target electric field, and to acquire wind-solar coupling compensation coefficient, wind power generation loss coefficient and photovoltaic power generation loss coefficient; A determination module, configured to determine the maximum photovoltaic loss hours of the target electric field based on the historical photovoltaic power generation data and the environmental data, and to determine the maximum wind power loss hours of the target electric field based on the historical wind power generation data and the environmental data; A calculation module is used to calculate the overall maximum loss hours of the target electric field based on the wind-solar coupling compensation coefficient, the wind power generation loss coefficient, the photovoltaic power generation loss coefficient, the wind power maximum loss hours and the photovoltaic maximum loss hours.

10. A wind and solar power station operation control device, characterized in that: include: A collection module is used to obtain historical wind power generation data, historical photovoltaic power generation data and environmental data of the target electric field; A processing module, configured to process the historical wind power generation data, the historical photovoltaic power generation data and the environmental data based on the method for determining the maximum loss hours of a wind-solar power station according to any one of claims 1 to 7, so as to determine the overall maximum loss hours of the target electric field; A calculation module, used for determining the economic current density of the target electric field based on the overall maximum loss hours; A control module is used to control the target electric field based on the economic current density and preset control conditions.

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