A configuration method of a ground photovoltaic power station engineering cleaning vehicle

Abstract

The present application belongs to the technical field of photovoltaic module cleaning, and particularly relates to a configuration method of a ground photovoltaic power station engineering cleaning vehicle. The present application comprehensively considers various factors such as engineering cleaning vehicle equipment investment and maintenance, personnel salary, photovoltaic power station power limiting rate and power improvement, annual cleaning frequency and cycle, grid-connected capacity, energy and water prices, calculates engineering cleaning vehicle annual cost, personnel annual cost, cleaning water annual cost and cleaning energy annual cost, and then solves engineering cleaning vehicle annual cleaning cost. At the same time, annual power improvement income can be accurately calculated, accurate calculation of engineering cleaning vehicle annual cleaning benefit is realized, and finally the optimal configuration number of the engineering cleaning vehicle is given according to the cleaning benefit. The method has the advantages of comprehensive parameters, fast and convenient calculation, high solution accuracy and strong practicability, and solves the problem that there is no mature and reliable calculation method to accurately calculate the engineering cleaning vehicle annual cleaning benefit.

Description

Technical Field

[0001] This invention belongs to the field of photovoltaic module cleaning technology, specifically relating to a configuration method for a cleaning vehicle used in ground-mounted photovoltaic power station projects. Background Technology

[0002] As of June 2024, my country's cumulative grid-connected photovoltaic (PV) capacity reached 712.93 GW, of which centralized PV power plants accounted for 403.42 GW. PV modules are the core and most valuable component of a PV power generation system. The cleanliness of these modules directly impacts the overall system's power generation efficiency. Installed outdoors, fine dust particles and snow accumulation on the surface of PV modules affect light transmittance, reducing the amount of radiation received and lowering power generation efficiency. Localized dirt and bird droppings can cause hot spots, further reducing efficiency and even burning out the modules. Therefore, the cleanliness of PV modules significantly impacts power generation efficiency and profitability, necessitating regular cleaning to improve efficiency and prevent irreversible degradation. Currently, common PV module cleaning methods include manual dry cleaning, manual wet cleaning, engineering cleaning vehicles, and cleaning robots. Among these, engineering cleaning vehicles, which are mechanized cleaning vehicles modified from engineering vehicles, are the most prevalent cleaning method for large-scale ground-mounted PV power plants. While cleaning photovoltaic modules can improve power generation efficiency, it also incurs certain cleaning costs. The problem of how to develop a practical, reliable, and highly accurate algorithm to maintain a balance between cleaning benefits and costs, thereby optimizing the cleaning efficiency of engineering cleaning vehicles, remains unsolved.

[0003] Researchers have conducted many valuable studies and experiments in the field of photovoltaic module cleaning. For example, CN111222763A proposes a photovoltaic module cleaning decision tool. Its principle is to calculate the difference between cleaning benefits and costs, and organize cleaning when the benefits are greater than the cleaning costs. However, this method can only be used to evaluate cleaning costs after cleaning, and the calculation results are not very accurate and can only be used for estimation.

[0004] CN118095816A proposes a periodic cleaning management system and method for intelligent photovoltaic power plants. It determines whether to carry out intelligent cleaning of photovoltaic modules by collecting solar irradiance. However, it does not consider economic factors and has a high overall cost, so it is not currently suitable for large-scale ground-mounted photovoltaic power plants.

[0005] CN118153852A discloses a method for assessing the demand for photovoltaic dust cleaning based on power generation time series analysis. This method can scientifically and accurately formulate a "one-stop-one-policy" photovoltaic module cleaning strategy for photovoltaic power plants. However, this method does not consider the cost of engineering cleaning vehicles, personnel salaries, and water and energy costs, and cannot effectively solve the configuration problem of engineering cleaning vehicles.

[0006] CN115641029B proposes a method and system for assessing the cleaning needs of photovoltaic modules based on environmental and meteorological influences. It can evaluate the optimal cleaning cycle and determine the optimal cleaning time based on the influence index and the standardized cleaning index of photovoltaic modules. However, this method does not consider the economic issue and cannot provide the most economical way to formulate cleaning solutions for engineering cleaning vehicles.

[0007] In summary, existing research has proposed various methods for comparing and selecting cleaning times, cycles, and methods for photovoltaic (PV) modules, which can serve as a reference when cleaning PV modules in PV power plants. However, these methods focus more on technical issues and less on economic considerations, making it difficult to provide reliable and practical cleaning solutions for ground-mounted PV power plant modules. Therefore, there is a lack of a method for calculating the cleaning benefits of engineering cleaning vehicles based on the full life cycle theory, in order to optimize the configuration of engineering cleaning vehicles and provide a technical reference for optimizing PV module cleaning solutions. Summary of the Invention

[0008] This invention proposes a configuration method for a cleaning vehicle for ground-mounted photovoltaic power station projects, in order to solve the technical problem that existing technologies focus too much on technical issues and are unable to provide a reliable and practical cleaning solution for cleaning ground-mounted photovoltaic power station modules.

[0009] To achieve the above objectives, the present invention adopts the following technical solution: A method for configuring a cleaning vehicle for a ground-mounted photovoltaic power station includes the following steps: Step 1: Data collection, including the grid-connected capacity, capacity ratio, annual equivalent utilization hours, curtailment rate, power generation increase ratio, and electricity price of the photovoltaic power station; the purchase, maintenance, and insurance costs and operating period of each engineering cleaning vehicle; the wages, insurance, and training costs of the engineering cleaning vehicle staff; the price of water, the water consumption per cleaning session, the number of cleaning sessions per year, and the price of the cleaning vehicle, as well as the prices of electricity and fuel. Step 2: Calculate the number of engineering cleaning vehicles required based on the grid-connected capacity, capacity ratio, and cleaning efficiency of the photovoltaic power station. Combine the number of engineering cleaning vehicles with the purchase, maintenance, and insurance costs of each vehicle, the number of vehicles, and the operating period to calculate the annual cost of the engineering cleaning vehicles. Step 3: Calculate the annual personnel cost based on the wages, insurance, and training expenses of the engineering cleaning vehicle staff; Step 4: Calculate the annual cost of cleaning water based on the price of water, the amount of water used per cleaning session, the grid-connected capacity of the ground-mounted photovoltaic power station, the capacity ratio, and the number of cleaning sessions per year. Step 5: Calculate the annual energy cost for cleaning based on the amount and price of energy consumed in each cleaning session and the number of cleaning sessions throughout the year; Step Six: Calculate the annual cleaning cost of the engineering cleaning vehicle based on the annual cost of the engineering cleaning vehicle, the annual cost of personnel, the annual cost of cleaning water, and the annual cost of cleaning energy. Step 7: Calculate the annual revenue from increased electricity consumption based on the grid-connected capacity, annual equivalent utilization hours, curtailment rate, electricity consumption increase ratio, and electricity price of the photovoltaic power station; Step 8: Calculate the annual cleaning efficiency of the engineering cleaning truck based on its annual cleaning cost and the annual revenue increase from electricity consumption, and determine the optimal number of engineering cleaning trucks to configure based on the annual cleaning efficiency.

[0010] The annual cleaning benefits of engineering cleaning vehicles are calculated as follows: ,in, Annual cleaning revenue of engineering cleaning vehicles, in ten thousand yuan; : Revenue from increased power generation from the cleaning components of the engineering cleaning vehicle, in ten thousand yuan; Annual cleaning cost, in ten thousand yuan.

[0011] Engineering cleaning vehicles increase electricity generation revenue from cleaning components The calculation method is as follows: ,in, The annual equivalent utilization hours of the area where the photovoltaic power station is located, in hours; The curtailment rate of photovoltaic power plants, expressed in % . The percentage increase in battery capacity; Electricity price, in yuan / kW·h.

[0012] Annual cleaning cost of engineering cleaning truck The calculation method is as follows: ;in, For: Annual cost of engineering cleaning vehicle; Annual personnel expenses; Annual cost of water used for cleaning; Annual cost of cleaning energy , , and All figures are in ten thousand yuan.

[0013] The method for calculating the annual cost of engineering cleaning vehicles, including the number of vehicles required, the purchase, maintenance, and insurance costs per vehicle, the quantity of vehicles, and the operating period, is as follows: ,in, Annual cost of engineering cleaning vehicles, in ten thousand yuan; , , The figures represent the total cost of purchase, maintenance, and insurance for each engineering cleaning vehicle during the operation period, all in ten thousand yuan. Y : Operational period of ground-mounted photovoltaic power stations, in years.

[0014] The annual cost of a construction cleaning truck is calculated based on the number of trucks deployed, combined with the purchase, maintenance, and insurance costs for each truck, the total number of trucks, and the operating period. The method for calculating the number of construction cleaning trucks is as follows: ,in, : The number of engineering cleaning vehicles, in units of vehicles; The cleaning efficiency of the engineering cleaning vehicle is expressed in MW / day. : Grid-connected capacity of ground-mounted photovoltaic power stations, in MW; : Capacity ratio of ground-mounted photovoltaic power stations.

[0015] The integer values ​​are selected within the range, and the annual cost of different engineering cleaning vehicles is calculated for each selected integer value. Based on the annual cost of different engineering cleaning vehicles, the annual cleaning benefits of different engineering cleaning vehicles are finally calculated. The optimal benefit is selected from the different annual cleaning benefits of engineering cleaning vehicles, and the optimal number of engineering cleaning vehicles is finally recommended.

[0016] The calculation method for annual personnel expenses in step three is as follows: ,in, Personnel annual expenses, in ten thousand yuan; , , These figures represent the total annual cost of salary, insurance, and training for each worker on the engineering cleaning vehicle, all in ten thousand yuan. The number of personnel is defined as a unit of personnel.

[0017] In step four, the cleaning method for the annual cleaning water cost is as follows: ,in,, Annual cost of water used for cleaning, in ten thousand yuan; Water price, unit: yuan / m³ 3 ; Water consumption per cleaning cycle, in cubic meters (m³). 3 ; T The number of times a photovoltaic power station is cleaned throughout the year, measured in times.

[0018] In step five, the calculation method for the annual cost of cleaning energy is as follows: ,in, Annual energy cost for cleaning, in ten thousand yuan; The price of five common energy sources consumed: gasoline, diesel, kerosene, natural gas, or electricity. Electricity is priced in yuan / kW·h, while the others are priced in yuan / m³. 3 ; Energy consumed in a single cleaning cycle, with electricity measured in kW·h and other quantities measured in m³. 3 i: the type of energy consumed, i is an integer from 1 to n; n: an integer from 1 to 5, corresponding to five common energy sources such as gasoline, diesel, kerosene, natural gas or electricity.

[0019] Compared with the prior art, the present invention has the following beneficial effects: This invention provides a configuration method for a ground-mounted photovoltaic power station cleaning vehicle. It comprehensively considers various factors, including equipment investment and maintenance, personnel salaries, photovoltaic power station curtailment rate and power generation increase, annual cleaning frequency and cycle, grid-connected capacity, and energy and water prices. This method reliably and practically calculates the annual costs of the cleaning vehicle, personnel, cleaning water, and cleaning energy, helping to accurately determine the annual cleaning cost. Simultaneously, it can practically and accurately calculate the annual revenue from increased power generation, achieving accurate calculation of the annual cleaning benefits of the cleaning vehicle. This method considers comprehensive parameters, is fast and convenient to calculate, has high accuracy, good portability, and strong practicality, solving the current problem of lacking a mature and reliable calculation method for accurately calculating the annual cleaning benefits of a cleaning vehicle. The calculation process of this method is clear and intuitive, and the calculation results are accurate and practical. It can be used to evaluate the actual situation of the cleaning of photovoltaic modules by the engineering cleaning vehicle of the ground photovoltaic power station. The calculated annual cleaning benefits of the engineering cleaning vehicle can provide reliable technical support for enterprises to evaluate the cost and benefits of photovoltaic module cleaning. Furthermore, it can provide accurate information for configuring engineering cleaning vehicles in the design stage and provide decision-making basis for optimizing cleaning schemes in the operation stage.

[0020] Furthermore, by calculating the annual costs of cleaning vehicles, personnel, water, and energy in detail, various costs during the cleaning process can be precisely controlled, avoiding unnecessary expenses. Calculating the annual revenue from increased electricity consumption based on the percentage increase and electricity price helps quantify the economic benefits of cleaning, thereby optimizing the cleaning plan to maximize profits.

[0021] Furthermore, determine the optimal number of cleaning vehicles to ensure effective resource utilization and avoid over-investment or insufficient resources. By calculating annual personnel costs, rationally allocate the number of staff to ensure that labor costs match actual needs.

[0022] Furthermore, by calculating the water consumption of a single cleaning session and the number of cleaning sessions per year, water resource usage can be effectively managed, reducing waste. Simultaneously, by calculating the amount of energy consumed in each cleaning session and its price, energy use can be optimized, energy efficiency improved, and environmental impact reduced.

[0023] Furthermore, by calculating various costs and revenues, the risks and returns of a project can be better assessed, leading to more robust decisions regarding the cleaning truck.

[0024] Furthermore, a standardized calculation method is provided, making cleaning operations more standardized and predictable, facilitating management and monitoring. At the same time, by regularly evaluating the cleaning effectiveness, potential problems can be identified and adjusted in a timely manner, achieving continuous improvement and optimization.

[0025] Furthermore, by comprehensively considering various factors related to the cleaning vehicle, a more sustainable development plan can be formulated to ensure the long-term stable operation of the project; at the same time, regular data updates and reassessments can flexibly respond to market and technological changes and maintain the project's competitiveness. Attached Figure Description

[0026] Figure 1 This is a flowchart illustrating the configuration method of a cleaning vehicle for a ground-mounted photovoltaic power station project. Detailed Implementation

[0027] To further understand the content of this invention, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments are merely illustrative and not limiting of the invention.

[0028] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0029] See Figure 1 A method for configuring a cleaning vehicle for ground-mounted photovoltaic power stations is presented. This method can calculate the annual cleaning cost and annual revenue increase from electricity generation, ultimately yielding the annual cleaning benefits of the cleaning vehicle. The calculation process will be described in detail below: Data on photovoltaic power stations and their associated cleaning vehicles is collected through automated data acquisition or manual statistics to determine key parameters such as grid-connected capacity, capacity ratio, curtailment rate, electricity price, cleaning vehicle price, water price, electricity (fuel) price, and personnel wages. Based on the grid-connected capacity, capacity ratio, and cleaning cycle of the photovoltaic power station, the required number of cleaning vehicles is determined. Then, the annual cost of each cleaning vehicle is calculated based on its purchase, maintenance, and insurance costs, the number of vehicles, and the operational period. The annual personnel cost is calculated based on the wages, insurance, and training costs of the cleaning vehicle staff. The annual water cost is calculated using the water price, water consumption per cleaning session, grid-connected capacity and capacity ratio of the ground-mounted photovoltaic power station, and the number of cleaning sessions per year. Finally, the annual energy cost is calculated based on the energy consumed per cleaning session, its price, and the number of cleaning sessions per year. Based on the calculated annual costs of the cleaning vehicle, personnel, water, and energy, the annual cleaning cost of the cleaning vehicle is calculated. This annual cleaning cost is the sum of the annual costs of the cleaning vehicle, personnel, water, and energy. The annual revenue from increased electricity generation is calculated based on the grid-connected capacity, annual equivalent utilization hours, curtailment rate, electricity generation increase ratio, and electricity price of the photovoltaic power station. The annual cleaning benefit of the cleaning vehicle is calculated based on the annual cleaning cost and increased electricity generation revenue obtained from the above steps. This annual cleaning benefit is the increased electricity generation revenue minus the annual cleaning cost. Based on the calculated annual cleaning benefit, an optimal recommendation is given for the number of cleaning vehicles, optimizing the vehicle configuration or cleaning scheme to improve the operational efficiency of the photovoltaic power station.

[0030] Example 1 This embodiment provides a method for configuring a cleaning vehicle for ground-mounted photovoltaic power station projects, and its specific implementation steps are as follows: A photovoltaic power station in my country has a grid-connected capacity of 1015MW, a capacity-to-distribution ratio of 1.2, an annual equivalent utilization time of 1450h, and a curtailment rate of [missing information]. The cleaning efficiency is 9%. The cleaning efficiency of the engineering cleaning truck is 9MW / day. The purchase, maintenance, and insurance costs for each engineering cleaning truck are 400,000 yuan, 200,000 yuan, and 100,000 yuan respectively. The annual costs for staff salaries, insurance, training, and other related expenses are 70,000 yuan, 20,000 yuan, and 10,000 yuan respectively. The water price is 4 yuan / m³. 3The water consumption for a single cleaning cycle is 13 m³ / MW. The energy sources for cleaning include gasoline, diesel, kerosene, natural gas, and electricity, as well as new energy sources such as hydrogen. In this example, diesel is used, with an estimated consumption of 5195 L of diesel per cleaning cycle. The price of diesel is 7.43 yuan / L. The number of cleaning cycles per year is 8. Cleaning is expected to increase power generation by approximately 4.5%, with an electricity sales price of approximately 0.2 yuan / kW·h. Determine the optimal number of cleaning vehicles for this photovoltaic power station.

[0031] Data was collected through automatic acquisition or manual statistics. The data includes: the cleaning efficiency of the engineering cleaning vehicle D = 9 MW / day; the operating period of the photovoltaic power station is 25 years or 20 years; the grid-connected capacity of the ground-mounted photovoltaic power station P = 1015 MW (grid-connected capacity refers to the power on the AC side); the capacity ratio R = 1.2 (the ratio between the installed capacity and the grid-connected capacity of the photovoltaic power generation system); and purchase, maintenance, and upkeep costs. , , The costs are 400,000 yuan, 200,000 yuan, and 100,000 yuan respectively. The service life of the engineering cleaning vehicle is 15 years. During the operation period of the photovoltaic power station, the purchase cost of the engineering cleaning vehicle... Vehicle replacement needs to be considered, and the number of replacements should generally be no less than once; staff salaries, insurance, and training costs also need to be taken into account. , , The prices are 70,000 yuan, 20,000 yuan, and 10,000 yuan respectively; water prices =4 yuan / m 3 Water consumption per cleaning session =13m³ / MW; diesel price consumed =7.43 yuan / m 3 Consumption B2 = 5195 m 3 The number of cleaning operations for the photovoltaic power station per year is T=8; the annual equivalent utilization hours of the area where the photovoltaic power station is located is h=1450 hours; the curtailment rate of the photovoltaic power station. =9%; percentage increase in battery capacity =4.5%, and for every additional vehicle, the expected increase in electricity consumption will be approximately 0.5 percentage points; electricity price =0.2 yuan / kW·h.

[0032] The method for calculating the required number of engineering cleaning vehicles is as follows: Substituting the cleaning efficiency of the engineering cleaning vehicle (D=9MW / day), the grid-connected capacity of the ground-mounted photovoltaic power station (P=1015MW), and the capacity ratio (R=1.2) into the above data, we can calculate: 3.38≤ <6.76, due to the number of configurations If it is an integer, the possible values ​​are 4, 5, and 6.

[0033] The method for calculating the annual cost of engineering cleaning vehicles is as follows: Among them, the number of engineering cleaning vehicles will be configured. The annual costs for integer values ​​4, 5, and 6 are substituted into the calculation, and the results are shown in Table 1 below. The operating period is taken as 20 years, and the vehicle is replaced once.

[0034] Table 1

[0035] The calculation method for annual personnel expenses is as follows: Based on the principle of assigning one worker to each engineering cleaning vehicle, the number of personnel required is as follows: The numbers can be 4, 5, or 6 respectively, representing the number of personnel. The number of engineering cleaning vehicles is greater than or equal to the number of vehicles configured. The costs of staff salaries, insurance, and training. , , Substituting 70,000 yuan, 20,000 yuan, and 10,000 yuan into the formula respectively, the calculation results are shown in Table 2 below.

[0036] Table 2

[0037] The cleaning method with annual water usage costs is as follows: The grid-connected capacity of the ground-mounted photovoltaic power station is P=1015MW; the capacity ratio is R=1.2; the number of cleaning times per year is T=8; and the water consumption per cleaning session is... =13m³ / MW. Substituting the data into the formula, the annual cost of cleaning water for the cleaning method can be calculated as follows: =506,600 yuan.

[0038] The calculation method for the annual cost of energy used for cleaning is as follows: Among them, the price of diesel fuel consumed =7.43 yuan / m 3 Consumption B2 = 5195 m 3 The photovoltaic power station is cleaned 8 times a year (T=8 times). Substituting this data into the formula, the calculation results are... =308,700 yuan.

[0039] Annual cleaning cost of engineering cleaning truck The calculation method is as follows: The annual cleaning costs for the number of engineering cleaning vehicles configured as 4, 5, and 6 are shown in Table 3 below.

[0040] Table 3

[0041] Engineering cleaning vehicles increase electricity generation revenue from cleaning components The calculation method is as follows: For each additional cleaning truck, the expected increase in electricity generation is 0.5 percentage points. Therefore, when the number of cleaning trucks is 4, 5, and 6, the increase in electricity generation is 4.5%, 5%, and 5.5%, respectively. The calculation results of the increased power generation revenue from the cleaning components of the engineering cleaning truck are shown in Table 4 below.

[0042] Table 4

[0043] The calculation method for the annual cleaning benefits of engineering cleaning vehicles is as follows: The calculation results are shown in Table 5 below.

[0044] Table 5

[0045] Therefore, the photovoltaic power station can be configured with 4, 5, and 6 engineering cleaning vehicles, respectively, with calculated annual cleaning benefits of 13.25 million yuan, 14.76 million yuan, and 16.26 million yuan. Based on the principle of optimal cleaning benefits, it is recommended that the number of engineering cleaning vehicles be 6.

[0046] Therefore, the present invention is necessary and practical. The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0047] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can be appropriately combined to form other embodiments that can be understood by those skilled in the art. The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A method for configuring a cleaning vehicle for a ground-mounted photovoltaic power station project, characterized in that, Includes the following steps: Step 1: Data collection, including the grid-connected capacity, capacity ratio, annual equivalent utilization hours, curtailment rate, power generation increase ratio, and electricity price of the photovoltaic power station; the cleaning efficiency, purchase, maintenance, and insurance costs, and operating period of each engineering cleaning vehicle; the wages, insurance, and training costs of the engineering cleaning vehicle staff; the price of water, the water consumption per cleaning session, the number of cleaning sessions per year, and the price of the cleaning vehicle, as well as the prices of electricity and fuel. Step 2: Calculate the number of engineering cleaning vehicles required based on the grid-connected capacity, capacity ratio, and cleaning efficiency of the photovoltaic power station. Combine the number of engineering cleaning vehicles with the purchase, maintenance, and insurance costs of each vehicle, the number of vehicles, and the operating period to calculate the annual cost of the engineering cleaning vehicles. Step 3: Calculate the annual personnel cost based on the wages, insurance, and training expenses of the engineering cleaning vehicle staff; Step 4: Calculate the annual cost of cleaning water based on the price of water, the amount of water used per cleaning session, the grid-connected capacity of the ground-mounted photovoltaic power station, the capacity ratio, and the number of cleaning sessions per year. Step 5: Calculate the annual energy cost for cleaning based on the amount and price of energy consumed in each cleaning session and the number of cleaning sessions throughout the year; Step Six: Calculate the annual cleaning cost of the engineering cleaning vehicle based on the annual cost of the engineering cleaning vehicle, the annual cost of personnel, the annual cost of cleaning water, and the annual cost of cleaning energy. Step 7: Calculate the annual revenue from increased electricity consumption based on the grid-connected capacity, annual equivalent utilization hours, curtailment rate, electricity consumption increase ratio, and electricity price of the photovoltaic power station; Step 8: Calculate the annual cleaning efficiency of the engineering cleaning truck based on its annual cleaning cost and the annual revenue increase from electricity consumption, and determine the optimal number of engineering cleaning trucks to configure based on the annual cleaning efficiency.

2. The configuration method of a ground-mounted photovoltaic power station engineering cleaning vehicle according to claim 1, characterized in that, The calculation method for the annual cleaning benefits of the engineering cleaning vehicle is as follows: ,in, Annual cleaning revenue of engineering cleaning vehicles, in ten thousand yuan; : Revenue from increased power generation from the cleaning components of the engineering cleaning vehicle, in ten thousand yuan; Annual cleaning cost, in ten thousand yuan.

3. The configuration method of a ground-mounted photovoltaic power station engineering cleaning vehicle according to claim 2, characterized in that, The increased power generation revenue from the cleaning components of the engineering cleaning vehicle The calculation method is as follows: ,in, The annual equivalent utilization hours of the area where the photovoltaic power station is located, in hours; The curtailment rate of photovoltaic power plants, expressed in % . The percentage increase in battery capacity; Electricity price, in yuan / kW·h.

4. The configuration method of a ground-mounted photovoltaic power station engineering cleaning vehicle according to claim 2, characterized in that, The annual cleaning cost of the engineering cleaning vehicle The calculation method is as follows: ;in, For: Annual cost of engineering cleaning vehicle; Annual personnel expenses; Annual cost of water used for cleaning; Annual cost of cleaning energy , , and All figures are in ten thousand yuan.

5. The configuration method of a ground-mounted photovoltaic power station engineering cleaning vehicle according to claim 4, characterized in that, The method for calculating the annual cost of engineering cleaning vehicles, including the number of vehicles required, the purchase, maintenance, and insurance costs per vehicle, the quantity of vehicles, and the operating period, is as follows: ,in, Annual cost of engineering cleaning vehicles, in ten thousand yuan; , , The figures represent the total cost of purchase, maintenance, and insurance for each engineering cleaning vehicle during the operation period, all in ten thousand yuan. Y : Operational period of ground-mounted photovoltaic power stations, in years.

6. The configuration method of a ground-mounted photovoltaic power station engineering cleaning vehicle according to claim 5, characterized in that, The annual cost of the engineering cleaning vehicles is calculated based on the number of vehicles configured, combined with the purchase, maintenance, and insurance costs for each vehicle, the total number of vehicles, and the operating period. The method for calculating the number of engineering cleaning vehicles is as follows: ,in, : The number of engineering cleaning vehicles, in units of vehicles; The cleaning efficiency of the engineering cleaning vehicle is expressed in MW / day. : Grid-connected capacity of ground-mounted photovoltaic power stations, in MW; : Capacity ratio of ground-mounted photovoltaic power stations.

7. The configuration method of a ground-mounted photovoltaic power station engineering cleaning vehicle according to claim 6, characterized in that, The The integer values ​​are selected within the range, and the annual cost of different engineering cleaning vehicles is calculated for each selected integer value. Based on the annual cost of different engineering cleaning vehicles, the annual cleaning benefits of different engineering cleaning vehicles are finally calculated. The optimal benefit is selected from the different annual cleaning benefits of engineering cleaning vehicles, and the optimal number of engineering cleaning vehicles is finally recommended.

8. The configuration method of a ground-mounted photovoltaic power station engineering cleaning vehicle according to claim 4, characterized in that, The calculation method for annual personnel expenses in step three is as follows: ,in, Personnel annual expenses, in ten thousand yuan; , , These figures represent the total annual cost of salary, insurance, and training for each worker on the engineering cleaning vehicle, all in ten thousand yuan. The number of personnel is defined as a unit of personnel.

9. The configuration method of a ground-mounted photovoltaic power station engineering cleaning vehicle according to claim 4, characterized in that, In step four, the cleaning method for the annual water cost of cleaning is as follows: ,in,, Annual cost of water used for cleaning, in ten thousand yuan; Water price, unit: yuan / m³ 3 ; Water consumption per cleaning cycle, in cubic meters (m³). 3 ; T The number of times a photovoltaic power station is cleaned throughout the year, measured in times.

10. The configuration method of a ground-mounted photovoltaic power station engineering cleaning vehicle according to claim 4, characterized in that, In step five, the calculation method for the annual cost of cleaning energy is as follows: ,in, Annual energy cost for cleaning, in ten thousand yuan; The price of five common energy sources consumed: gasoline, diesel, kerosene, natural gas, or electricity. Electricity is priced in yuan / kW·h, while the others are priced in yuan / m³. 3 ; Energy consumed in a single cleaning cycle, with electricity measured in kW·h and other quantities measured in m³. 3 i: the type of energy consumed, i is an integer from 1 to n; n: an integer from 1 to 5, corresponding to five common energy sources such as gasoline, diesel, kerosene, natural gas or electricity.

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