A photovoltaic power station capacity matching ratio calculation method and device
By cross-combining the capacity of photovoltaic modules and inverters with the electrical parameters of energy storage systems, the problem that the capacity ratio design in existing technologies cannot adapt to the coupling changes of multiple factors is solved, and more accurate capacity ratio calculation and higher power generation are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEFEI SUNGROW RENEWABLE ENERGY SCI & TECH CO LTD
- Filing Date
- 2022-07-07
- Publication Date
- 2026-06-16
AI Technical Summary
Existing photovoltaic power plant capacity ratio design methods cannot adapt to the coupled changes of multiple factors, resulting in calculation results that are no longer the optimal capacity ratio and cannot improve the system's power generation.
By cross-combining the optional DC capacity and power generation influencing factors of photovoltaic modules with the optional AC capacity of inverters, and combining the electrical parameters of energy storage systems and the curtailment of photovoltaic power plants, the total power generation within a preset time period corresponding to each combination is calculated, and the target combination number that meets the preset index conditions is selected to determine the capacity ratio.
This improves the accuracy and applicability of capacity ratio calculation, ensures the rationality of capacity configuration, and increases the power generation of photovoltaic power plants and the revenue from energy storage installation.
Smart Images

Figure CN115828496B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of photovoltaic technology, and in particular to a method and apparatus for calculating the capacity ratio of a photovoltaic power plant. Background Technology
[0002] In photovoltaic (PV) systems, the capacity ratio refers to the ratio of PV module capacity to inverter capacity. Early capacity ratio designs typically used a 1:1 ratio for PV modules and inverters. However, when the optimal system is measured by minimizing the average cost of electricity (ACO), factors such as PV module tilt angle, energy storage, and curtailment can lead to an optimal capacity ratio greater than 1:1.
[0003] To address the aforementioned issues, existing design methods primarily focus on optimizing a single factor: the capacity ratio. This involves iteratively changing the capacity ratio value to find the optimal ratio that meets the given conditions. However, when real-world scenarios involve the coupled changes of multiple factors, existing design methods cannot adapt to the combined influence of these factors, and the resulting ratio is no longer the optimal one. Summary of the Invention
[0004] This invention provides a method and apparatus for calculating the capacity ratio of a photovoltaic power plant, which can adapt to the situation of multiple factors coupled and changing, improve the accuracy of capacity ratio calculation, and thus increase the power generation of the system.
[0005] According to one aspect of the present invention, a method for calculating the capacity ratio of a photovoltaic power plant is provided, wherein the photovoltaic power plant includes at least photovoltaic modules, inverters, and energy storage systems; the calculation method includes:
[0006] Based on the optional DC capacity and power generation influencing factors of the photovoltaic module, a first set is determined, which contains m elements, where m is a positive integer greater than 0.
[0007] Based on the selectable AC capacity of the inverter, a second set is determined, which contains n elements, where n is a positive integer greater than 0;
[0008] Each element in the first set is combined with each element in the second set to obtain m*n combinations;
[0009] Based on the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station, the total power generation within a preset time period corresponding to each of the combinations is determined.
[0010] Based on the total power generation and preset indicators within the preset time period corresponding to each combination number, the target combination number that meets the preset indicator conditions is determined, and the capacity ratio is determined based on the target combination number.
[0011] Optionally, determining the total power generation within a preset time period corresponding to each of the combinations, based on the electrical parameters of the energy storage system and the curtailment of the photovoltaic power station, includes:
[0012] The power curve set within a preset time period corresponding to each of the combinations is determined to obtain the initial power curve set for each of the combinations;
[0013] Based on the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station, the initial power curve set for each of the aforementioned combinations is corrected to obtain the corrected power curve set corresponding to each of the aforementioned combinations.
[0014] Based on the set of corrected power curves corresponding to each of the aforementioned combinations and the preset time period, the total power generation within the preset time period corresponding to each of the aforementioned combinations is determined.
[0015] Optionally, the preset time period includes multiple time periods; the step of determining the power curve set within the preset time period corresponding to each of the combinations, to obtain the initial power curve set for each of the combinations, includes:
[0016] Obtain the set of daily power curves for the first time period within the preset time period corresponding to each of the aforementioned combinations;
[0017] The daily power curve set of the first time period within the preset time period corresponding to each combination number is attenuated by a preset attenuation rate until the last time period, thereby obtaining the daily power curve set of each time period within the preset time period corresponding to each combination number. The daily power curve set of each time period within the preset time period corresponding to each combination number constitutes the initial power curve set of each combination number.
[0018] Optionally, the step of correcting the initial power curve set for each of the combinations based on the electrical parameters of the energy storage system and the curtailment of the photovoltaic power station to obtain the corrected power curve set corresponding to each of the combinations includes:
[0019] The electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station are sequentially substituted into the daily power curve set for each time period within the preset time period corresponding to each of the combination numbers, thereby obtaining the corrected daily power curve set for each time period within the preset time period corresponding to each of the combination numbers. The corrected daily power curve set for each time period within the preset time period corresponding to each of the combination numbers constitutes the corrected power curve set corresponding to each of the combination numbers.
[0020] Optionally, the electrical parameters of the energy storage system include at least the capacity of the energy storage system and the power generation capacity of the energy storage system.
[0021] Optionally, the factors affecting power generation include at least the spacing between the photovoltaic modules and the tilt angle of the photovoltaic modules.
[0022] Optionally, determining the target number of combinations that meet the preset indicator conditions based on the total power generation and preset indicators within a preset time period corresponding to each of the combination numbers includes:
[0023] Calculate the basic parameters of the preset index corresponding to each combination number, and determine the preset index value of each combination number based on the total power generation in the preset time period corresponding to each combination number and the basic parameters of the preset index.
[0024] The number of combinations that satisfy the preset index conditions among the preset index values of each combination number is taken as the target combination number.
[0025] Optionally, determining the capacity ratio based on the target number of combinations includes:
[0026] The capacity ratio is determined based on the ratio of DC capacity to AC capacity in the target combination number.
[0027] Optionally, the preset indicators include at least the cost per kilowatt-hour.
[0028] According to another aspect of the present invention, a photovoltaic power plant capacity ratio calculation device is provided, wherein the photovoltaic power plant includes at least photovoltaic modules, an inverter, and an energy storage system; the device includes:
[0029] The first set determination module is used to determine a first set based on the optional DC capacity and power generation influencing factors of the photovoltaic module. The first set contains m elements, where m is a positive integer greater than 0.
[0030] The second set determination module is used to determine a second set based on the selectable AC capacity of the inverter. The second set contains n elements, where n is a positive integer greater than 0.
[0031] The combination module is used to combine each element in the first set with each element in the second set to obtain m*n combinations;
[0032] The total power generation determination module is used to determine the total power generation within a preset time period corresponding to each of the combinations based on the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station.
[0033] The target combination number determination module is used to determine the target combination number that meets the preset index conditions based on the total power generation and preset index within a preset time period corresponding to each combination number.
[0034] The capacity ratio determination module is used to determine the capacity ratio based on the target combination number. The technical solution of this invention provides a method and apparatus for calculating the capacity ratio of a photovoltaic power plant. This method achieves the following: by cross-combining a first set consisting of optional DC capacity of photovoltaic modules and factors affecting power generation, and a second set consisting of optional AC capacity of inverters, multiple combinations with coupled factors are obtained. The total power generation within a preset time period corresponding to each combination number is then obtained by combining the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power plant. The coupling effect of multiple factors improves the calculation accuracy of the total power generation within the preset time period corresponding to each combination number, thereby improving the accuracy of subsequent capacity ratio calculations. Furthermore, based on the total power generation within the preset time period corresponding to each combination number with high calculation accuracy and preset indicators, target combinations meeting preset indicator conditions can be accurately screened. Therefore, the capacity ratio can be accurately determined based on the target combination number, ensuring the rationality of capacity configuration, improving the benefits of installing energy storage in photovoltaic power plants, and increasing grid-connected power generation. Furthermore, since the calculation of the entire capacity ratio fully considers the influence of multiple factors such as the optional DC capacity of photovoltaic modules, the factors affecting power generation, the optional AC capacity, the amount of curtailed light, and energy storage, it can adapt to the changes of various coupling factors, thereby improving the applicability and calculation accuracy of the calculation method.
[0035] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description
[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0037] Figure 1 This is a flowchart of a photovoltaic power plant capacity ratio calculation method provided in an embodiment of the present invention;
[0038] Figure 2 This is a flowchart of another photovoltaic power plant capacity ratio calculation method provided in this embodiment of the invention;
[0039] Figure 3 This is a schematic diagram of the structure of a photovoltaic power plant capacity ratio calculation device provided in an embodiment of the present invention. Detailed Implementation
[0040] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.
[0041] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0042] Figure 1 This is a flowchart illustrating a photovoltaic power plant capacity ratio calculation method provided in this embodiment of the invention. This embodiment is applicable to situations where the capacity ratio is reasonably set in the processing platform of a photovoltaic power plant to increase power generation. This method can be executed by a photovoltaic power plant capacity ratio calculation device, which can be implemented in hardware and / or software and can be configured in the server of the processing platform. Figure 1 As shown, the method includes:
[0043] S110. Determine the first set based on the optional DC capacity of photovoltaic modules and factors affecting power generation.
[0044] The first set contains m elements, where m is a positive integer greater than 0. The DC capacity of the photovoltaic module refers to the capacity of the DC output side of the photovoltaic module. The optional DC capacitance value of the photovoltaic module can be set to 100 strings, 200 strings…1000 strings, etc., and the specific value can be set according to the actual situation; no specific limitation is made here. Factors affecting power generation may include the spacing between photovoltaic modules, the tilt angle of the photovoltaic modules, and other influencing factors, which can be set according to the actual situation; no specific limitation is made here.
[0045] Optionally, factors affecting power generation include at least the spacing between photovoltaic modules and the tilt angle of the photovoltaic modules.
[0046] The spacing between photovoltaic (PV) modules refers to the distance between adjacent PV modules. The spacing can be set to values such as 4 meters, 4.5 meters, 5 meters…10 meters, etc., depending on the actual situation; no specific limit is set here. Similarly, the tilt angle of the PV modules can be set to values such as 10 degrees, 15 degrees, 20 degrees…40 degrees, etc., depending on the actual situation; no specific limit is set here.
[0047] For example, let the spacing between photovoltaic modules be D. m The tilt angle of the photovoltaic module is A. m The optional DC capacity of the photovoltaic module is Ed m Where m represents the number of selectable values for the spacing between photovoltaic modules, the tilt angle of the photovoltaic modules, and the DC capacity. Optionally, the spacing D between photovoltaic modules... m The tilt angle A of the photovoltaic module m and optional DC capacity Ed m By combining them, we can obtain the first set:
[0048] ED, {(D1, A1, Ed1), (D2, A2, Ed2),…(D m A m Ed m )}.
[0049] S120. Determine the second set based on the selectable AC capacity of the inverter.
[0050] The second set contains n elements, where n is a positive integer greater than 0. The selectable AC capacity of the inverter refers to the selectable capacity on the AC side of the inverter. The AC capacity of the inverter can be determined based on the inverter type and the number of selectable types. The inverter type refers to different rated power outputs; therefore, the AC capacity of the inverter can be obtained by multiplying the inverter's power output by the number of selectable power outputs, resulting in the second set. Let the second set be {Ea1, Ea2, ..., Ea3}. For example, if the inverter's power output can be 100kW, 200kW, 300kW, etc., with forty selectable power types, then the AC capacity of the inverter could be 100kW*40, 200kW*40, 300kW*40, etc.
[0051] S130. Combine each element in the first set with each element in the second set to obtain m*n combinations.
[0052] By combining the first set with the second set, a new two-dimensional combination can be obtained. For example, combining {(D1, A1, Ed1), (D2, A2, Ed2), ... (D... m Am Ed m By combining {Ea1, Ea2, ..., Ea3} with {Ea1, Ea2, ..., Ea3}, we can obtain:
[0053]
[0054] Among them, ((D) m A m Ed m Ea n There are a total of m*n combinations, denoted as {DE1, DE2, DE3, ..., DE...} m*n}
[0055] S140. Based on the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station, determine the total power generation within the preset time period corresponding to each combination.
[0056] The electrical parameters of the energy storage system can include its capacity and power generation. The capacity and power generation of the energy storage system are related to the actual configuration of the system, and the specific values can be obtained based on the actual situation; no specific limits are set here. The curtailment amount of photovoltaic power plants refers to the maximum allowable power output for grid connection; its specific value can be obtained based on the actual system conditions and no specific limits are set here.
[0057] The preset time period can be 10 years, 20 years, etc., and can be set according to the actual situation. No specific limitation is made here. For example, the following embodiments use a preset time period of 10 years as an example for illustration, and will not be described in detail here.
[0058] S150. Based on the total power generation and preset indicators within the preset time period corresponding to each combination number, determine the target combination number that meets the preset indicator conditions, and determine the capacity ratio based on the target combination number.
[0059] The preset indicators can be electricity cost indicators, rate of return indicators, and rate of return on investment indicators, etc. The specific settings can be made according to the actual situation, and no specific restrictions are made here.
[0060] In the technical solution of this embodiment, the working principle of the photovoltaic power station capacity ratio calculation method is as follows: (Refer to...) Figure 1Based on the selectable DC capacity of the photovoltaic modules and the factors affecting power generation, a first set is determined; the first set contains m elements, where m is a positive integer greater than 0. Based on the selectable AC capacity of the inverter, a second set is determined; the second set contains n elements, where n is a positive integer greater than 0. Each element in the first set is combined with each element in the second set to obtain m*n combination numbers. Based on the electrical parameters of the energy storage system and the amount of curtailed photovoltaic power, the total power generation within a preset time period corresponding to each combination number is determined. Based on the total power generation within the preset time period corresponding to each combination number and the preset indicators, the target number of combinations that meet the preset indicator conditions is determined, and the capacity ratio is determined based on the target number of combinations. Therefore, by cross-combining a first set consisting of optional DC capacity of photovoltaic modules and factors affecting power generation, and a second set consisting of optional AC capacity of inverters, multiple combinations of coupled factors are obtained. These are then combined with the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power plant to obtain the total power generation within a preset time period corresponding to each combination. The coupling effect of multiple factors improves the calculation accuracy of the total power generation within the preset time period for each combination, thus improving the accuracy of subsequent capacity allocation ratio calculations. Furthermore, based on the total power generation within the preset time period corresponding to each combination with high calculation accuracy and preset indicators, target combinations meeting the preset indicator conditions can be accurately selected. Based on the target combination number, the capacity allocation ratio can be accurately determined, ensuring the rationality of capacity configuration, improving the profitability of installing energy storage in photovoltaic power plants, and increasing grid-connected power. Since the entire capacity allocation ratio calculation fully considers the influence of multiple factors such as optional DC capacity of photovoltaic modules, factors affecting power generation, optional AC capacity, curtailed solar power, and energy storage, it can adapt to changes in various coupled factors, improving the applicability and accuracy of the calculation method.
[0061] Figure 2 This is a flowchart of another photovoltaic power plant capacity ratio calculation method provided in an embodiment of the present invention. Optionally, as an implementation method, refer to... Figure 2 The method includes:
[0062] S210. Determine the first set based on the optional DC capacity of photovoltaic modules and factors affecting power generation.
[0063] S220. Determine the second set based on the selectable AC capacity of the inverter.
[0064] S230. Combine each element in the first set with each element in the second set to obtain m*n combinations.
[0065] S240. Determine the power curve set within the preset time period corresponding to each combination number to obtain the initial power curve set for each combination number.
[0066] The preset time period includes multiple time periods. For example, if the preset time period is the next 10 years, it includes 10 time periods, each of which is one year.
[0067] Optionally, the preset time period includes multiple time periods; determining the power curve set within the preset time period corresponding to each combination number to obtain the initial power curve set for each combination number includes: obtaining the daily power curve set for the first time period within the preset time period corresponding to each combination number; attenuating the daily power curve set for the first time period within the preset time period corresponding to each combination number according to a preset attenuation rate until the last time period, thereby obtaining the daily power curve set for each time period within the preset time period corresponding to each combination number, and the daily power curve set for each time period within the preset time period corresponding to each combination number constitutes the initial power curve set for each combination number.
[0068] One way to obtain the daily power curve set for the first period within a preset time period corresponding to each combination number is as follows: Each combination number is input into the PVsyst simulation software. Simulation calculations can then yield the daily power curve set for the first period within the preset time period corresponding to each combination number. For example, by inputting the parameters of all combinations (including the spacing between photovoltaic modules, the tilt angle and DC capacity of the photovoltaic modules, and the AC capacity parameters of the inverter) into the PVsyst simulation software, simulation calculations can obtain the set of daily power curves for the first year of the next 10 years for each combination number. For instance, assuming there are 365 days in a year, the set of daily power curves for the first year for a given combination number, obtained through simulation calculations, would be {Pd}. 1 1, Pd 1 2, Pd 1 3, ..., Pd 1 365}
[0069] Each combination is obtained by cross-combining a first set of parameters including the spacing between photovoltaic modules, the tilt angle of the photovoltaic modules, and the DC capacity, and a second set including the AC capacity of the inverter. Therefore, by coupling multiple factors and inputting them into the simulation software to calculate the first-year daily power curve set for each combination, the accuracy of daily power calculation can be improved, which in turn helps to improve the accuracy of subsequent total power generation calculation, and thus improves the accuracy of capacity ratio calculation.
[0070] The preset attenuation rate can be set according to actual conditions. The attenuation rate for each time period can be the same or different. For ease of calculation, the following example assumes that the attenuation rate is the same for each time period.
[0071] Based on the set of daily power curves for the first year of each combination, the attenuation is calculated year by year according to the preset attenuation rate, so that the set of daily power curves for each combination in the next N years can be obtained.
[0072] For example, let the set of daily power curves for the first year be {Pd}. 1 1, Pd 1 2, Pd 1 3, ..., Pd 1 365 Assuming a preset attenuation rate of 1.5%, and taking the next 10 years as an example, the set of daily power curves for each combination over the next 10 years is as follows:
[0073]
[0074] The accuracy of the calculation for each combination number is relatively high because it is derived from simulation calculations of multiple factors, including the spacing between photovoltaic modules, the tilt angle of the photovoltaic modules, and the DC capacity. Therefore, based on the accurate calculation of the first-year daily power set for each combination number, the calculation accuracy of the daily power curve set for each combination number in the next N years can be further improved.
[0075] S250. Based on the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station, the initial power curve set for each combination number is corrected to obtain the corrected power curve set for each combination number.
[0076] Among them, coupling the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power plant, which are two major factors affecting the power generation of the system, to the initial power curve set and correcting them can improve the calculation accuracy of the total power generation within the preset time period corresponding to each combination number, thereby improving the calculation accuracy of the subsequent capacity ratio.
[0077] Optionally, the initial power curve set of each combination number is corrected based on the electrical parameters of the energy storage system and the curtailment of the photovoltaic power station to obtain the corrected power curve set corresponding to each combination number. This includes: substituting the electrical parameters of the energy storage system and the curtailment of the photovoltaic power station into the daily power curve set of each time period within the preset time period corresponding to each combination number in sequence, to obtain the corrected daily power curve set of each time period within the preset time period corresponding to each combination number. The corrected daily power curve set of each time period within the preset time period corresponding to each combination number constitutes the corrected power curve set corresponding to each combination number.
[0078] This method involves substituting the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power plant into the daily power curve set for each preset time period for each combination (i.e., substituting them into the daily power curve set for each year of the next 10 years). This yields the annual on-grid electricity set for each combination over the next 10 years, which is the corrected daily power curve set for each combination over the next 10 years. Compared with existing technologies, firstly, since each combination's first-year daily power curve set is obtained through simulation calculations based on multiple factors such as the spacing between photovoltaic modules, the tilt angle of the photovoltaic modules, and DC capacity, the calculation accuracy is relatively high. Furthermore, it can further improve the calculation accuracy of the daily power curve set for each combination over the next 10 years. Then, based on the accurate calculation of the daily power curve set for each combination number in the next N years, the two major factors affecting the power generation of the photovoltaic power plant, namely the amount of curtailed solar power and energy storage, are coupled into the daily power curve set for each combination number in the next 10 years. This allows the calculation of the annual on-grid electricity set for each combination number in the next 10 years, thereby improving the accuracy of the total power generation calculation. This, in turn, helps to improve the accuracy of the capacity ratio calculation, thus ensuring the rationality of the capacity configuration.
[0079] S260. Based on the set of corrected power curves corresponding to each combination number and the preset time period, determine the total power generation within the preset time period corresponding to each combination number.
[0080] The corrected daily power curve set for each period within a preset time period corresponding to each combination number constitutes the corrected power curve set for each combination number. The total power generation within the preset time period corresponding to each combination number can be calculated by integrating the corrected daily power curve set for each period with the preset time period itself. This yields the annual on-grid electricity set for each combination number within the preset time period. Adding the annual on-grid electricity sets for each combination number within the preset time period gives the total power generation for each combination number within the preset time period. For example, if the preset time period is the next 10 years, the corrected power curve set for each combination number is the corrected daily power curve set for each year of those 10 years. Integrating the corrected daily power curve set for each combination number within the next 10 years with time yields the annual on-grid electricity set for each combination number within the next 10 years. Using this method, the annual on-grid electricity set for each combination number within the next 10 years can be calculated, and adding them together gives the total power generation for each combination number within the next 10 years.
[0081] For example, taking the next 10 years as an example, suppose the daily power curve set for each combination number in the next 10 years (i.e., the initial power curve set for each combination number) is as follows:
[0082]
[0083] First, by substituting the capacity of the energy storage system, the power generation capacity of the energy storage system, and the maximum allowable power to the grid into the daily power curve set for each of the above combinations over the next 10 years, we can obtain the revised daily power curve set for each combination over the next 10 years:
[0084]
[0085] Then, by integrating the modified daily power curve set and time for each combination number over the next 10 years, we can obtain the annual on-grid electricity set for each combination number over the next 10 years as follows:
[0086] {Ey1, Ey2, ...Ey 10}
[0087] Finally, the total annual on-grid electricity generation for each combination over the next 10 years is obtained by summing the data for each combination: E 总 =Ey1 + Ey2 + ... + Ey 10 .
[0088] S270. Calculate the basic parameters of the preset indicators corresponding to each combination number, and determine the preset indicator value of each combination number based on the total power generation in the preset time period corresponding to each combination number and the basic parameters of the preset indicators.
[0089] Among them, the preset evaluation indicators can be electricity cost indicators, rate of return indicators, and return on investment indicators, etc.
[0090] When the preset evaluation indicator is the cost per unit of electricity, the basic parameters include initial construction cost and N years of operation and maintenance cost. When the preset evaluation indicator is the rate of return indicator, the basic parameters can include revenue from generating electricity and selling it to the grid, initial investment costs, and electricity cost savings. When the preset evaluation indicator is the return on investment indicator, the basic parameters can include the financial model (the specific financial structure can be set according to the specific situation), bank loans, bank interest rates, and investment costs.
[0091] Optionally, the preset indicators include at least the cost per kilowatt-hour.
[0092] Specifically, the basic parameters of the preset indicators corresponding to each combination are calculated. Based on the total power generation within a preset time period corresponding to each combination and the basic parameters of the preset indicators, the preset indicator values for each combination are determined. For example, taking the preset indicator as the cost per kilowatt-hour (kWh), firstly, the basic parameters of the kWh cost indicator corresponding to each combination are calculated, such as the initial construction cost and N-year operation and maintenance cost for each combination. Then, based on the total power generation, initial construction cost, and N-year operation and maintenance cost for each combination over the next N years, the kWh cost value for each combination is calculated.
[0093] S280. The number of combinations that meet the preset index conditions among the preset index values of each combination number is taken as the target combination number.
[0094] The preset indicator conditions can be that the preset indicator value for each combination is the maximum or minimum value among all preset indicator values. Specific settings can be made according to actual circumstances, and no specific limitations are made here.
[0095] For example, taking the preset index as the cost per kilowatt-hour, the cost per kilowatt-hour for each combination is calculated, and the combination with the smallest cost per kilowatt-hour among all the combinations is selected as the target combination.
[0096] S290. Determine the capacity ratio based on the ratio of DC capacity to AC capacity in the target combination number.
[0097] For example, taking the preset indicator as the cost per kilowatt-hour (kWh), firstly, the basic parameters of the kWh indicator corresponding to each combination are calculated, such as the initial construction cost and N-year operation and maintenance cost for each combination. Then, based on the total power generation, initial construction cost, and N-year operation and maintenance cost for each combination over the next N years, the kWh cost value for each combination is calculated. Finally, the combination with the lowest kWh cost value among all combinations is selected as the target combination, and the capacity ratio is determined based on the ratio of DC capacity to AC capacity in the target combination.
[0098] Each combination number is obtained by cross-combining a first set of parameters including the spacing between photovoltaic modules, the tilt angle of photovoltaic modules, and DC capacity, and a second set including the AC capacity of the inverter. Therefore, when the target combination number that meets the preset index conditions is found, it means that the optimal combination number has been found. Thus, the optimal capacity ratio can be obtained by calculating the ratio of DC capacity to AC capacity based on the DC capacity and AC capacity in the optimal combination number.
[0099] In the technical solution of this embodiment, the working principle of the photovoltaic power station capacity ratio calculation method is as follows: (Refer to...) Figure 2First, based on the selectable DC capacity of the photovoltaic modules and factors affecting power generation, a first set is determined; the first set contains m elements, where m is a positive integer greater than 0. Based on the selectable AC capacity of the inverter, a second set is determined, containing n elements, where n is a positive integer greater than 0. Each element in the first set is combined with each element in the second set to obtain m*n combinations. Then, the power curve set for each combination within a preset time period is determined, resulting in the initial power curve set for each combination. Finally, based on the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station, the power curves for each combination are analyzed. The initial power curve set of the combinations is corrected to obtain the corrected power curve set corresponding to each combination number. Based on the corrected power curve set corresponding to each combination number and the preset time period, the total power generation within the preset time period corresponding to each combination number is determined. The basic parameters of the preset index corresponding to each combination number are calculated, and the preset index value of each combination number is determined according to the total power generation within the preset time period corresponding to each combination number and the basic parameters of the preset index. The number of combinations that meet the preset index conditions among the preset index values of each combination number is taken as the target combination number. Finally, the capacity ratio is determined based on the ratio of DC capacity to AC capacity in the target combination number. It can be seen that by cross-combining the first set consisting of the optional DC capacity of photovoltaic modules and the factors affecting power generation, and the second set consisting of the optional AC capacity of inverters, multiple combination numbers with coupled multiple factors are obtained. By coupling the electrical parameters of the energy storage system and the curtailment of photovoltaic power plants, which affect the power generation of the system, to the initial power curve set and correcting them, the calculation accuracy of the total power generation within the preset time period corresponding to each combination number can be improved, thereby improving the calculation accuracy of the subsequent capacity ratio. Furthermore, based on the total power generation and preset indicators within a preset time period corresponding to each combination with high calculation accuracy, the target combination number that meets the preset indicator conditions can be accurately screened. Thus, the capacity ratio can be accurately determined based on the target combination number, thereby ensuring the rationality of capacity configuration, improving the profitability of photovoltaic power plants installing energy storage, and increasing grid-connected power. Moreover, since the entire capacity ratio calculation fully considers the influence of multiple factors such as the selectable DC capacity of photovoltaic modules, factors affecting power generation, selectable AC capacity, curtailment, and energy storage, it can adapt to changes in various coupling factors, improving the applicability and calculation accuracy of this method.
[0100] Figure 3 This is a schematic diagram of the structure of a photovoltaic power plant capacity ratio calculation device provided in an embodiment of the present invention. Figure 3 As shown, the photovoltaic power station capacity ratio calculation device 100 includes: a first set determination module 10, used to determine a first set based on the optional DC capacity of the photovoltaic modules and the factors affecting power generation, wherein the first set contains m elements, where m is a positive integer greater than 0;
[0101] The second set determination module 20 is used to determine the second set based on the optional AC capacity of the inverter. The second set contains n elements, where n is a positive integer greater than 0.
[0102] Combination module 30 is used to combine each element in the first set with each element in the second set to obtain m*n combination numbers;
[0103] The total power generation determination module 40 is used to determine the total power generation within a preset time period for each combination number based on the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station.
[0104] The target combination number determination module 50 is used to determine the target combination number that meets the preset index conditions based on the total power generation and preset index within the preset time period corresponding to each combination number.
[0105] The capacity ratio determination module 60 is used to determine the capacity ratio based on the target number of combinations.
[0106] The technical solution of this embodiment provides a photovoltaic power plant capacity ratio calculation device, which includes: a first set determination module, used to determine a first set containing m elements, where m is a positive integer greater than 0, based on the optional DC capacity of the photovoltaic modules and factors affecting power generation; a second set determination module, used to determine a second set containing n elements, where n is a positive integer greater than 0, based on the optional AC capacity of the inverter; a combination module, used to combine each element in the first set with each element in the second set to obtain m*n combination numbers; a total power generation determination module, used to determine the total power generation within a preset time period corresponding to each combination number based on the electrical parameters of the energy storage system and the amount of curtailed photovoltaic power generation; a target combination number determination module, used to determine the target combination number that meets the preset index conditions based on the total power generation within the preset time period corresponding to each combination number and the preset index; and a capacity ratio determination module, used to determine the capacity ratio based on the target combination number. This device enables the following: By cross-combining a first set (containing optional DC capacity of photovoltaic modules and factors influencing power generation) and a second set (containing optional AC capacity of inverters), multiple combinations of coupled factors are obtained. These combinations are then coupled with the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power plant to obtain the total power generation within a preset time period corresponding to each combination. This multi-factor coupling improves the calculation accuracy of the total power generation within the preset time period for each combination, thus enhancing the accuracy of subsequent capacity allocation ratio calculations. Furthermore, based on the total power generation within the preset time period corresponding to each combination with high calculation accuracy and preset indicators, target combinations meeting preset indicator conditions can be accurately selected. This allows for accurate determination of the capacity allocation ratio based on the target combination number, ensuring the rationality of capacity configuration, improving the profitability of installing energy storage in photovoltaic power plants, and increasing grid-connected power. Since the entire capacity allocation ratio calculation fully considers the influence of multiple factors such as optional DC capacity of photovoltaic modules, factors influencing power generation, optional AC capacity, curtailed solar power, and energy storage, it can adapt to changes in various coupled factors, improving the applicability and accuracy of the calculation method.
[0107] Optionally, the total power generation determination module 40 also includes:
[0108] The initial power curve set determination unit is used to determine the power curve set within a preset time period corresponding to each combination number, so as to obtain the initial power curve set for each combination number.
[0109] The modified power curve set determination unit is used to modify the initial power curve set of each combination number based on the electrical parameters of the energy storage system and the amount of curtailed light from the photovoltaic power station, so as to obtain the modified power curve set corresponding to each combination number.
[0110] The total power generation determination unit is used to determine the total power generation within the preset time period corresponding to each combination number based on the set of corrected power curves corresponding to each combination number and the preset time period.
[0111] Optionally, the initial power curve set determination unit is further configured to obtain the daily power curve set of the first time period within the preset time period corresponding to each combination number; and to attenuate the daily power curve set of the first time period within the preset time period corresponding to each combination number by time period according to a preset attenuation rate until the last time period, thereby obtaining the daily power curve set of each time period within the preset time period corresponding to each combination number. The daily power curve set of each time period within the preset time period corresponding to each combination number constitutes the initial power curve set of each combination number. Optionally, the corrected power curve set determination unit is further configured to substitute the electrical parameters of the energy storage system and the curtailment of the photovoltaic power station into the daily power curve set of each time period within the preset time period corresponding to each combination number, thereby obtaining the corrected daily power curve set of each time period within the preset time period corresponding to each combination number. The corrected daily power curve set of each time period within the preset time period corresponding to each combination number constitutes the corrected power curve set of each combination number.
[0112] Optionally, the electrical parameters of the energy storage system include at least the capacity of the energy storage system and the power generation capacity of the energy storage system.
[0113] Optionally, factors affecting power generation include at least the spacing between photovoltaic modules and the tilt angle of the photovoltaic modules.
[0114] Optionally, the target combination number determination module 50 further includes: a calculation unit for calculating the basic parameters of the preset index corresponding to each combination number; and a preset index value determination unit for determining the preset index value of each combination number based on the total power generation in the preset time period corresponding to each combination number and the basic parameters of the preset index.
[0115] The target combination number determination unit is used to determine the number of combinations that meet the preset index conditions among the preset index values of each combination number as the target combination number.
[0116] Optionally, the capacity ratio determination module 60 further includes a capacity ratio determination unit for determining the capacity ratio based on the ratio of DC capacity to AC capacity in the target combination number.
[0117] Optionally, the preset indicators include at least the cost per kilowatt-hour.
[0118] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.
[0119] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.
Claims
1. A method for calculating the capacity ratio of a photovoltaic power plant, characterized in that, The photovoltaic power station includes at least photovoltaic modules, inverters, and energy storage systems; the calculation method includes: Based on the DC capacity and power generation influencing factors of the photovoltaic modules, a first set is determined, which contains m elements, where m is a positive integer greater than 0; the power generation influencing factors include at least the spacing between the photovoltaic modules and the tilt angle of the photovoltaic modules; Based on the AC capacity of the inverter, a second set is determined, which contains n elements, where n is a positive integer greater than 0; Each element in the first set is combined with each element in the second set to obtain m×n combinations; Based on the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station, the total power generation within a preset time period corresponding to each of the combinations is determined; the electrical parameters of the energy storage system include at least the capacity of the energy storage system and the power generation capacity of the energy storage system. The step of determining the total power generation within a preset time period corresponding to each of the combinations includes: determining the power curve set within the preset time period corresponding to each of the combinations to obtain the initial power curve set for each combination; correcting the initial power curve set for each combination based on the electrical parameters of the energy storage system and the curtailment of the photovoltaic power station to obtain the corrected power curve set corresponding to each combination; and determining the total power generation within the preset time period corresponding to each combination based on the corrected power curve set corresponding to each combination and the preset time period. Based on the total power generation and preset indicators within the preset time period corresponding to each combination number, the target combination number that meets the preset indicator conditions is determined, and the capacity ratio is determined based on the target combination number.
2. The photovoltaic power plant capacity ratio calculation method according to claim 1, characterized in that, The preset time period includes multiple time periods; The step of determining the power curve set within a preset time period corresponding to each of the combinations to obtain the initial power curve set for each of the combinations includes: Obtain the set of daily power curves for the first time period within the preset time period corresponding to each of the aforementioned combinations; The daily power curve set of the first time period within the preset time period corresponding to each combination number is attenuated by a preset attenuation rate until the last time period, thereby obtaining the daily power curve set of each time period within the preset time period corresponding to each combination number. The daily power curve set of each time period within the preset time period corresponding to each combination number constitutes the initial power curve set of each combination number.
3. The method for calculating the capacity ratio of a photovoltaic power plant according to claim 2, characterized in that, The process of correcting the initial power curve set for each of the aforementioned combinations based on the electrical parameters of the energy storage system and the curtailment of the photovoltaic power station, to obtain the corrected power curve set corresponding to each of the aforementioned combinations, includes: The electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station are sequentially substituted into the daily power curve set for each time period within the preset time period corresponding to each of the combination numbers, thereby obtaining the corrected daily power curve set for each time period within the preset time period corresponding to each of the combination numbers. The corrected daily power curve set for each time period within the preset time period corresponding to each of the combination numbers constitutes the corrected power curve set corresponding to each of the combination numbers.
4. The method for calculating the capacity ratio of a photovoltaic power plant according to claim 1, characterized in that, The step of determining the target number of combinations that meet the preset indicator conditions based on the total power generation and preset indicators within the preset time period corresponding to each of the combination numbers includes: Calculate the basic parameters of the preset index corresponding to each combination number, and determine the preset index value of each combination number based on the total power generation in the preset time period corresponding to each combination number and the basic parameters of the preset index. The number of combinations that satisfy the preset index conditions among the preset index values of each combination number is taken as the target combination number.
5. The method for calculating the capacity ratio of a photovoltaic power plant according to claim 1, characterized in that, Determining the capacity ratio based on the target combination number includes: The capacity ratio is determined based on the ratio of DC capacity to AC capacity in the target combination number.
6. The method for calculating the capacity ratio of a photovoltaic power plant according to claim 1, characterized in that, The preset indicators include at least the cost per kilowatt-hour.
7. A photovoltaic power plant capacity ratio calculation device, applicable to the photovoltaic power plant capacity ratio calculation method according to any one of claims 1-6, characterized in that, The photovoltaic power station includes at least photovoltaic modules, an inverter, and an energy storage system; the device includes: The first set determination module is used to determine a first set based on the DC capacity and power generation influencing factors of the photovoltaic module. The first set contains m elements, where m is a positive integer greater than 0. The second set determination module is used to determine a second set based on the AC capacity of the inverter. The second set contains n elements, where n is a positive integer greater than 0. The combination module is used to combine each element in the first set with each element in the second set to obtain m×n combinations; The total power generation determination module is used to determine the total power generation within a preset time period corresponding to each of the combinations based on the electrical parameters of the energy storage system and the amount of curtailed solar power from the photovoltaic power station. The target combination number determination module is used to determine the target combination number that meets the preset index conditions based on the total power generation and preset index within a preset time period corresponding to each combination number. The capacity ratio determination module is used to determine the capacity ratio based on the target number of combinations.
Citation Information
Patent Citations
CN110060165A
CN114006405A