Evaluation method and device for applying green energy to off-grid island micro-grid system, and electronic equipment

Abstract

The invention relates to an evaluation method and device for applying green energy to an off-grid island micro-grid system and electronic equipment. The evaluation method comprises the steps that historical load data, wind energy data and solar energy data are acquired, the wind energy data are used for representing wind power characteristics of a preset area, and the solar energy data are used for representing solar radiation characteristics of the preset area; determining predicted load data of the preset area according to the historical load data; determining the wind power generation power of the wind power generation system according to the wind energy data; determining the photovoltaic power generation power of the photovoltaic power generation system according to the solar data; according to the predicted load data, the wind power generation power and the photovoltaic power generation power, an energy assessment result is determined, and the energy assessment result is used for representing whether the wind energy and the solar energy of the preset area meet the power load requirement of the preset area or not. According to the technical scheme, the reliability, the stability and the economical efficiency of applying the green energy to the off-grid island micro-grid system can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of microgrids based on green energy, and in particular to an evaluation method, device and electronic equipment for applying green energy to an off-grid island microgrid system. Background Art

[0002] The power supply of islands can be achieved through long-distance transmission lines or by installing a hybrid power system on the islands. The system consists of wind turbines, solar photovoltaic power generation systems, diesel generators, battery energy storage systems and control systems. The island microgrid project aims to provide a stable and reliable power supply for islands far away from the mainland by integrating renewable green energy and traditional energy.

[0003] Therefore, island microgrid technology can be applied to remote island areas to provide stable and reliable power supply, reduce dependence on diesel power generation, and reduce operating costs. At the same time, it promotes the use of renewable green energy, improves energy self-sufficiency, supports the development of island economy and tourism, and has environmental and economic benefits. Summary of the invention

[0004] The purpose of the present invention is to provide an evaluation method, device and electronic equipment for applying green energy to an off-grid island microgrid system, which can improve the reliability, stability and economy of the microgrid system in which green energy is applied to an off-grid island microgrid system.

[0005] In order to achieve the above-mentioned objectives, in a first aspect, the present disclosure provides an evaluation method for applying green energy to an off-grid island microgrid system, the off-grid island microgrid system comprising: a photovoltaic power generation system and a wind power generation system, the evaluation method comprising: obtaining historical load data, wind energy data and solar energy data, the wind energy data being used to characterize the wind characteristics of a preset area, and the solar energy data being used to characterize the solar radiation characteristics of the preset area; determining predicted load data for the preset area based on the historical load data; determining the wind power generation power of the wind power generation system based on the wind energy data; determining the photovoltaic power generation power of the photovoltaic power generation system based on the solar energy data; determining an energy evaluation result based on the predicted load data, the wind power generation power and the photovoltaic power generation power, the energy evaluation result being used to characterize whether the wind energy and solar energy in the preset area meet the power load demand of the preset area.

[0006] Optionally, the wind energy data includes: the area swept by the wind turbine blades, air density, average wind speed and power coefficient of the wind turbine.

[0007] Optionally, the solar energy data includes: photovoltaic derating factor, rated power of photovoltaic array, solar radiation incident on the surface of photovoltaic array, radiation level for evaluating rated capacity of photovoltaic array, available power, area of ​​solar photovoltaic panel, efficiency of photovoltaic module and duration of daytime lighting. Determining the photovoltaic power generation power of the photovoltaic power generation system based on the solar energy data includes: determining the output power of the photovoltaic power generation system based on the photovoltaic derating factor, rated power of photovoltaic array, solar radiation incident on the surface of photovoltaic array and radiation level for evaluating rated capacity of photovoltaic array; determining the photovoltaic power generation power of the photovoltaic power generation system based on the available power, area of ​​solar photovoltaic panel, efficiency of photovoltaic module and duration of daytime lighting.

[0008] Optionally, the off-grid island microgrid system also includes: an inverter and a battery storage system, and the evaluation method also includes: determining evaluation information corresponding to the photovoltaic power generation system, the evaluation information corresponding to the photovoltaic power generation system includes: the inclination angle of the solar photovoltaic panel, the electric energy generated by solar radiation on the inclined surface of the solar photovoltaic panel and the number of solar photovoltaic panels; determining evaluation information corresponding to the wind power generation system, the evaluation information corresponding to the wind power generation system includes: the wind power generation of the wind turbine and the number of wind turbines; determining evaluation information corresponding to the inverter, the evaluation information corresponding to the inverter includes the energy output by the inverter; determining evaluation information corresponding to the battery storage system, the evaluation information corresponding to the battery storage system includes: the electric energy stored in the battery and the number of batteries; constructing the microgrid system according to the evaluation information corresponding to the photovoltaic power generation system, the evaluation information corresponding to the wind power generation system, the evaluation information corresponding to the inverter and the evaluation information corresponding to the battery storage system.

[0009] Optionally, determining the evaluation information corresponding to the photovoltaic power generation system includes: determining the inclination angle of the solar photovoltaic panel according to the latitude of the preset area; determining the electrical energy generated by solar radiation on the inclined surface of the solar photovoltaic panel according to the irradiance, the surface area of ​​the solar photovoltaic panel, the photovoltaic power generation penetration level coefficient and the solar photovoltaic efficiency; determining the number of the solar photovoltaic panels according to the energy demand, the energy supply and demand coefficient, the derated array output power, the irradiance on the inclined surface of the solar photovoltaic panel and the solar photovoltaic efficiency; wherein the derated array output power is determined according to the array rated output power, the manufacturing tolerance derating factor, the battery temperature derating factor and the surface dirt derating factor.

[0010] Optionally, determining the evaluation information corresponding to the wind power generation system includes: determining the wind power generation of the wind generator based on the wind power generation power and operating time; determining the number of wind generators in the wind power generation system based on the wind power generation power, energy demand and energy supply and demand coefficient.

[0011] Optionally, determining the evaluation information corresponding to the inverter includes: determining the energy output by the inverter according to the efficiency of the inverter and the output electric energy of the photovoltaic power generation system.

[0012] Optionally, determining the evaluation information corresponding to the battery storage system includes: determining the battery pack capacity according to load demand, maximum operating days, distribution voltage and maximum depth of discharge value of the battery; determining the number of batteries according to the battery pack capacity and the capacity of a single battery; determining the battery storage electric energy corresponding to the charging state according to the electric energy output by the battery in the charging state and the battery charging efficiency; determining the battery storage electric energy corresponding to the discharging state according to the load demand in the discharging state.

[0013] Optionally, the off-grid island microgrid system is connected to an intelligent charging and discharging device, and the intelligent charging and discharging device is connected to an electric vehicle. The evaluation method also includes: determining a charging and discharging strategy based on the predicted load data, the wind power generation power and the photovoltaic power generation power; synchronizing the charging and discharging strategy to the intelligent charging and discharging device and the electric vehicle, so that the intelligent charging and discharging device and the electric vehicle are charged or discharged according to the charging and discharging strategy.

[0014] Optionally, the evaluation method also includes: determining the present value of costs over a life cycle; determining the user's minimum electricity cost based on the present value of costs; determining the total capital cost; determining the annual operating cost; determining an economic evaluation result based on the minimum electricity cost, the present value of costs, the total capital cost and the annual operating cost of the total capital cost; and optimizing the off-grid island microgrid system based on the economic evaluation result.

[0015] Optionally, the off-grid island microgrid system also includes a battery storage system, and determining the total capital cost includes: obtaining the capital cost of solar photovoltaic panels, the capital cost of wind turbines, the capital cost of the battery storage system, and the fixed capital cost; determining the total capital cost based on the capital cost of the solar photovoltaic panels, the capital cost of the wind turbines, the capital cost of the battery storage system, and the fixed capital cost.

[0016] Optionally, the off-grid island microgrid system also includes a battery storage system, and determining the annual operating cost includes: obtaining the operating cost of the photovoltaic power generation system, the operating cost of the wind power generation system, the operating cost of the battery storage system, and the fixed operating cost; determining the annual operating cost based on the operating cost of the photovoltaic power generation system, the operating cost of the wind power generation system, the operating cost of the battery storage system, and the fixed operating cost.

[0017] In a second aspect, the present disclosure provides an evaluation device for applying green energy to an off-grid island microgrid system, the off-grid island microgrid system comprising: a photovoltaic power generation system and a wind power generation system, the evaluation device comprising: an acquisition module configured to acquire historical load data, wind energy data and solar energy data, the wind energy data being used to characterize the wind characteristics of a preset area, and the solar energy data being used to characterize the solar radiation characteristics of the preset area; an energy evaluation module being configured to: determine the predicted load data of the preset area based on the historical load data; determine the wind power generation power of the wind power generation system based on the wind energy data; determine the photovoltaic power generation power of the photovoltaic power generation system based on the solar energy data; determine an energy evaluation result based on the predicted load data, the wind power generation power and the photovoltaic power generation power, the energy evaluation result being used to characterize whether the wind energy and solar energy of the preset area meet the power load demand of the preset area.

[0018] In a third aspect, the present disclosure provides a non-temporary computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the evaluation method for applying green energy to an off-grid island microgrid system as described in the first aspect.

[0019] In a fourth aspect, the present disclosure provides an electronic device, comprising: a memory on which a computer program is stored; and a processor for executing the computer program in the memory to implement the evaluation method for applying green energy to an off-grid island microgrid system as described in the first aspect.

[0020] In a fifth aspect, the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the evaluation method for applying green energy to an off-grid island microgrid system as described in the first aspect.

[0021] Through the above technical solution, the load demand is predicted through historical load data, the wind power generation of the wind power generation system is evaluated through wind energy data, and the photovoltaic power generation of the photovoltaic power generation system is evaluated through solar energy data; then, combined with the load demand, wind power generation and photovoltaic power generation, it is evaluated whether the microgrid system can meet the power load demand. Therefore, this technical solution can effectively analyze renewable green energy and realize the applicability evaluation of renewable green energy. On this basis, the reliability, stability and economy of the microgrid system of the off-grid island microgrid system can be improved.

[0022] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 It is a structural schematic diagram of an off-grid island microgrid system according to an exemplary embodiment.

[0024] Figure 2 The present invention is a flow chart showing a method for evaluating the application of green energy to an off-grid island microgrid system according to an exemplary embodiment.

[0025] Figure 3 The figure is a schematic diagram of a system architecture based on V2G technology according to an exemplary embodiment.

[0026] Figure 4 It is a structural block diagram of an evaluation device for applying green energy to an off-grid island microgrid system according to an exemplary embodiment.

[0027] Figure 5 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0028] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0029] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the device is located and with the authorization given by the owner of the corresponding device.

[0030] Island microgrid technology covers distributed power supply, energy storage technology, intelligent control and management system, and power electronics technology, which ensure the stable operation and efficient energy management of microgrids. Island microgrids are mainly used in remote island areas to provide stable and reliable power supply, reduce dependence on diesel power generation, and reduce operating costs. At the same time, it promotes the use of renewable green energy, improves energy self-sufficiency, and supports the development of island economy and tourism, with significant environmental and economic benefits.

[0031] At present, the power supply of islands is mainly through long-distance transmission lines or the installation of hybrid power systems on islands. The system is mainly composed of wind turbines, solar photovoltaic power generation systems, diesel generators, battery energy storage systems and control systems.

[0032] The island microgrid project aims to provide a stable and reliable power supply to islands far from the mainland by integrating renewable green energy and traditional energy. However, in the relevant technologies, although the original intention is to use renewable green energy such as wind and solar energy, it is often difficult to reach 100% of the power generation ratio of these new energy sources due to the limitations of technology, cost and the specific geographical environment of the island. Therefore, it has to rely on diesel generator systems as a supplement to ensure the continuity and stability of power supply. Although the use of diesel generators can solve short-term energy needs, it also brings environmental pollution and economic burden.

[0033] Diesel generators, as a traditional energy supply method, rely on the characteristics of fossil fuels, which makes them have obvious limitations in environmental protection. Diesel combustion produces a large amount of greenhouse gases and pollutants, such as carbon dioxide, sulfur dioxide and nitrogen oxides. These emissions have a serious impact on air quality and aggravate the problem of global climate change. With the improvement of environmental protection awareness and the demand for reducing carbon emissions, the way of relying on diesel generators for power supply is obviously contrary to the goal of achieving "carbon peak and carbon neutrality".

[0034] Moreover, diesel power generation not only produces greenhouse gas emissions, exacerbating global climate change, but also has high operating costs, which is not conducive to the sustainable development of the island economy. According to current technology, the construction cost of island microgrids usually includes the construction of infrastructure, the purchase of equipment, and subsequent maintenance. The high cost often makes the project economically unsustainable, especially in island environments with unstable electricity demand and large fluctuations in renewable green energy output.

[0035] Based on this, the disclosed embodiment provides a technical solution, which can ensure the reliability and stability of renewable green energy by effectively evaluating the renewable green energy of the off-grid island microgrid system, thereby eliminating the need to rely on diesel power generation and solving the impact on the environment. Moreover, it can be beneficial to the sustainable development of the island economy and meet the island's electricity needs. In addition, the cost of this technical solution is greatly reduced compared to related technologies, and it has strong economic efficiency. Specifically, by integrating green energy and intelligent management technology, the microgrid system of the off-grid island can be efficiently optimized to achieve the stability of energy supply and environmental sustainability, thereby achieving the dual goals of reducing costs and reducing dependence on fossil fuels.

[0036] Figure 1 is a structural diagram of an off-grid island microgrid system 100 according to an exemplary embodiment. Figure 1 As shown, the system includes: a photovoltaic power generation system 101, a wind power generation system 102, a battery storage system 103, an inverter 104 and a control system 105.

[0037] The photovoltaic power generation system 101, the wind power generation system 102 and the battery storage system 103 can all be connected to electrical equipment to supply power to the electrical equipment.

[0038] In some embodiments, since the photovoltaic power generation system 101 and the battery storage system 103 output direct current, the photovoltaic power generation system 101 and the battery storage system 103 can be connected to the power-consuming device through the inverter 104, so that the direct current can be converted into alternating current and then output to the power-consuming device. For the wind power generation system 102, the alternating current can be directly output to the power-consuming device.

[0039] Regarding the control system 105, it can be connected to the photovoltaic power generation system 101, the wind power generation system 102, the battery storage system 103 and the inverter 104 respectively, and the control system 105 can realize the control of the entire microgrid system. Accordingly, the control system 105 can also exchange information with various parts of the microgrid system.

[0040] Therefore, the technical solution of the embodiment of the present disclosure can be applied to the above-mentioned control system 105, so that the control system 105 can not only realize the operation control of the microgrid system, but also realize the evaluation of the microgrid system.

[0041] In some embodiments, the microgrid system may also be connected to another evaluation system, which is used to implement the evaluation of the microgrid system. Accordingly, the technical solution of the embodiment of the present disclosure may also be applied to the evaluation system.

[0042] Figure 2is a flow chart showing a method for evaluating green energy applied to an off-grid island microgrid system 100 according to an exemplary embodiment. Figure 2 As shown, the evaluation method includes: Step S21, obtaining historical load data, wind energy data and solar energy data.

[0043] Step S22: Determine the predicted load data of the preset area based on the historical load data.

[0044] Step S23, determining the wind power generation power of the wind power generation system 102 according to the wind energy data.

[0045] Step S24, determining the photovoltaic power generation power of the photovoltaic power generation system 101 according to the solar energy data.

[0046] Step S25, determining the energy assessment result according to the predicted load data, wind power generation power and photovoltaic power generation power.

[0047] In step S21, the wind energy data is used to characterize the wind characteristics of the preset area, and the solar energy data is used to characterize the solar radiation characteristics of the preset area.

[0048] The wind characteristics may be related information affecting the wind power generation power of the wind power generation system 102 ; the solar radiation characteristics may be related information affecting the photovoltaic power generation power of the photovoltaic power generation system 101 .

[0049] The historical load data may be the actual load usage during the historical time period, and may include: historical total load, historical peak load, and changes in historical load with seasons, weather, and holidays.

[0050] It can be understood that for a microgrid system, when supplying power to an island, it is usually divided into regions, so when conducting an assessment, it is also necessary to conduct an assessment by region. Moreover, this regional assessment method is less difficult and more accurate. Therefore, the preset area can be understood as the area that needs to be evaluated at present, which can be a part of the island.

[0051] In step S22, a prediction model can be trained with historical load data, and the load data of a preset area can be predicted using the trained prediction model. In addition, the acquisition of historical load data can be achieved through recording and statistics, and the time covered by the historical load data can be one month or half a month.

[0052] For example, in the process of load assessment of off-grid island microgrids, the historical load data of the region is first comprehensively collected. This includes detailed records of total load and peak load, as well as in-depth analysis of the impact of factors such as seasonal changes in load, fluctuations under different weather conditions, and holiday arrangements. The collection of this data not only covers basic statistical information on electricity use, but also includes all external conditions that may affect the pattern of electricity demand.

[0053] Next, the collected data is subjected to detailed feature analysis to identify and quantify the key factors that have a significant impact on load changes. This step is the basis for understanding the dynamics of power demand and establishing accurate prediction models.

[0054] Based on the characteristic analysis of historical load data and the prediction of future load demand, an appropriate prediction model is selected. Considering that power load data usually exhibits obvious time series characteristics, the autoregressive integrated moving average model can be used as a prediction tool. This model can capture the dynamic characteristics of time series data. Through the training and verification process of the model, a scientific prediction value of power load in the future time period can be obtained.

[0055] In step S23, the wind power generation power of the wind power generation system 102 is determined according to the wind energy data. The wind power generation power may represent the power that can be provided by wind energy in a preset area.

[0056] As an optional implementation, the wind energy data includes: the area swept by the wind turbine blades, air density, average wind speed and power coefficient of the wind turbine. The area swept by the wind turbine blades can be determined by analyzing the actual operation of the wind turbine blades; the air density can be determined by measuring the air; the average wind speed can be determined by measuring the wind speed over a period of time based on the average value of the wind speed over the period of time; the power coefficient of the wind turbine can be a fixed parameter of the wind turbine and can be directly obtained.

[0057] For example, the wind power generation power of the wind power generation system 102 can be expressed as: .

[0058] in, represents wind power generation power, represents the area swept by the wind turbine blades, represents the air density, represents the average wind speed, Represents the power factor of the wind turbine.

[0059] In step S24, the photovoltaic power generation power of the photovoltaic power generation system 101 is determined according to the solar energy data. The photovoltaic power generation power may include: the output power of the photovoltaic power generation system 101 and the energy (ie, power generation) or power generation power that can be extracted by the solar photovoltaic panel.

[0060] As an optional embodiment, the solar energy data includes: photovoltaic derating factor, rated power of photovoltaic array, solar radiation incident on the surface of photovoltaic array, radiation level used to evaluate the rated capacity of photovoltaic array, available power, area of ​​solar photovoltaic panel, efficiency of photovoltaic module and daylighting time.

[0061] Among them, the photovoltaic derating factor, the rated power of the photovoltaic array and the area of ​​the solar photovoltaic panel are fixed parameters and can be directly obtained. The solar radiation incident on the surface of the photovoltaic array, the radiation level used to evaluate the rated capacity of the photovoltaic array, the available power, the efficiency of the photovoltaic module and the daytime lighting duration can be measured and obtained through corresponding measurement methods.

[0062] Furthermore, step S24 may include: determining the output power of the photovoltaic power generation system 101 according to the photovoltaic derating factor, the rated power of the photovoltaic array, the solar radiation incident on the surface of the photovoltaic array and the radiation level used to evaluate the rated capacity of the photovoltaic array; determining the photovoltaic power generation power of the photovoltaic power generation system 101 according to the available power, the area of ​​the solar photovoltaic panel, the efficiency of the photovoltaic module and the daytime lighting duration.

[0063] For example, the output power of the photovoltaic power generation system 101 can be expressed as: ).

[0064] in, represents the output power of the photovoltaic power generation system 101, represents the photovoltaic derating factor, Represents the rated power of the photovoltaic array (in KW), Represents the solar radiation incident on the photovoltaic array surface (in kW / m 2 ), Represents the radiation level used to evaluate the rated capacity of a PV array (in 1kW / m 2 ).

[0065] The photovoltaic power generation power of the photovoltaic power generation system 101 can be expressed as: .

[0066] in, Represents photovoltaic power generation power, Represents the available power. represents the area of ​​the solar photovoltaic panel, Table PV module efficiency, Represents the duration of daylighting.

[0067] Furthermore, in step S25, an energy evaluation result is determined based on the predicted load data, wind power generation power and photovoltaic power generation power. The energy evaluation result is used to characterize whether the wind energy and solar energy in the preset area meet the power load demand of the preset area.

[0068] Therefore, it is possible to analyze whether the power load demand in the preset area can be met based on the predicted load data, wind power generation power and photovoltaic power generation power. For example, the wind power generation power and photovoltaic power generation power are integrated to determine the corresponding power generation, and then the power generation is compared with the power demand in the predicted load data. If the power generation is greater than the power demand, it can be met; otherwise, it cannot be met.

[0069] For example, through a comprehensive and in-depth assessment of solar and wind energy resources in a selected region, the potential and predictability of these renewable green energy sources can be accurately quantified. The assessment includes a detailed analysis of factors such as sunshine duration, solar radiation intensity, wind speed distribution, and seasonal changes to predict the power generation of renewable green energy. This process involves not only technical data collection and model calculations, but also considerations of regional energy policies, market demand, and grid access capabilities.

[0070] By combining this information, we can effectively analyze and determine whether solar and wind energy resources can continue to meet the region's electricity load demand, including daily electricity consumption, industrial production, and electricity demand during peak hours, thereby helping to achieve regional energy self-sufficiency and promote clean energy transformation.

[0071] In the disclosed embodiment, the off-grid island microgrid system 100 includes: a photovoltaic power generation system 101, a wind power generation system 102, an inverter 104 and a battery storage system 103. In order to ensure the reliability and stability of the off-grid island microgrid system 100, it is necessary to conduct a technical evaluation of these components, so as to facilitate the construction of a more reliable and stable microgrid system.

[0072] Therefore, as an optional implementation, the evaluation method also includes: determining evaluation information corresponding to the photovoltaic power generation system 101, the evaluation information corresponding to the photovoltaic power generation system 101 includes: the inclination angle of the solar photovoltaic panel, the electric energy generated by solar radiation on the inclined surface of the solar photovoltaic panel and the number of solar photovoltaic panels; determining the evaluation information corresponding to the wind power generation system 102, the evaluation information corresponding to the wind power generation system 102 includes: the wind power generation of the wind turbine and the number of wind turbines; determining the evaluation information corresponding to the inverter 104, the evaluation information corresponding to the inverter 104 includes the energy output by the inverter 104; determining the evaluation information corresponding to the battery storage system 103, the evaluation information corresponding to the battery storage system 103 includes: the electric energy stored in the battery and the number of batteries; constructing a microgrid system according to the evaluation information corresponding to the photovoltaic power generation system 101, the evaluation information corresponding to the wind power generation system 102, the evaluation information corresponding to the inverter 104 and the evaluation information corresponding to the battery storage system 103.

[0073] It can be understood that if the microgrid system has been built, the microgrid system can be optimized based on the technical evaluation results. If the microgrid system has not been built, the construction of the microgrid system can be completed based on the technical evaluation results. Therefore, the construction of the microgrid system can be based on the optimization of the constructed microgrid system; or, based on the completion of the construction of the incomplete microgrid system.

[0074] The evaluation of the photovoltaic power generation system 101 involves the tilt angle of the solar photovoltaic panel, the electrical energy generated by the solar radiation on the tilted surface of the solar photovoltaic panel, and the number of the solar photovoltaic panels.

[0075] As an optional implementation, determining the evaluation information corresponding to the photovoltaic power generation system 101 includes: determining the inclination angle of the solar photovoltaic panel according to the latitude of a preset area; determining the electrical energy generated by solar radiation on the inclined surface of the solar photovoltaic panel according to the irradiance, the surface area of ​​the solar photovoltaic panel, the photovoltaic power generation penetration level coefficient and the solar photovoltaic efficiency; determining the number of solar photovoltaic panels according to the energy demand, the energy supply and demand coefficient, the derated array output power, the irradiance on the inclined surface of the solar photovoltaic panel and the solar photovoltaic efficiency; wherein the derated array output power is determined according to the array rated output power, the manufacturing tolerance derated coefficient, the battery temperature derated coefficient and the surface dirt derated coefficient.

[0076] The latitude of the preset area can be determined according to the latitude of the selected area. For example, the tilt angle of the solar photovoltaic panel can be expressed as: .

[0077] in, represents the tilt angle, Represents the latitude of the preset area.

[0078] The surface area of ​​the solar photovoltaic panel, which may be the area of ​​the aforementioned solar photovoltaic panel, the photovoltaic power generation penetration level coefficient and the solar photovoltaic efficiency, may be obtained through measurement.

[0079] For example, the electrical energy generated by solar radiation on the inclined surface of a solar photovoltaic panel can be expressed as: .

[0080] in, Represents the electrical energy generated per hour by solar radiation on the inclined surface of the photovoltaic panel, Represents the irradiance per hour (in kWh / m 2 ), Represents the surface area of ​​the solar photovoltaic panel, represents the photovoltaic power generation penetration level coefficient, Represents solar photovoltaic efficiency.

[0081] The energy demand can be determined based on the predicted load data, and the energy demand can be a daily energy demand. The energy supply and demand coefficient can represent the oversupply coefficient of the photovoltaic power generation system 101. If it is greater than 1, it means that the supply exceeds the demand, if it is equal to 1, it means that the supply is equal to the demand, and if it is less than 1, it means that the supply is less than the demand.

[0082] Regarding the derated array output power, it can be determined based on several fixed parameters, namely, the array rated output power, the manufacturing tolerance derating factor, the battery temperature derating factor, and the surface dirt derating factor.

[0083] For example, the number of solar photovoltaic panels can be expressed as: .

[0084] in, represents the number of solar photovoltaic panels required to meet daily energy demand, represents the daily energy requirement, represents the oversupply coefficient of the photovoltaic power generation system 101 (i.e., the energy supply and demand coefficient), represents the derated array output power, Represents the irradiance on the slope of the solar photovoltaic panel, Represents solar photovoltaic efficiency.

[0085] For example, the derated array output power can be expressed as: .

[0086] in, represents the array rated output power, represents the manufacturing tolerance derating factor, Represents the battery temperature derating factor, Stands for the surface dirt derating factor.

[0087] The evaluation information corresponding to the wind power generation system 102 includes: the wind power generation of the wind turbines and the number of the wind turbines.

[0088] As an optional implementation, determining the evaluation information corresponding to the wind power generation system 102 includes: determining the wind power generation of the wind turbine according to the wind power generation power and operating time; determining the number of wind turbines in the wind power generation system 102 according to the wind power generation power, energy demand and energy supply and demand coefficient.

[0089] Among them, the operating time, energy demand and energy supply and demand coefficient are fixed parameters or parameters that can be obtained by measurement. The wind power generation power can be determined according to the implementation method introduced in the above embodiment. For the definition of energy supply and demand parameters, reference can be made to the above embodiment, which is for the wind power generation system 102.

[0090] For example, the wind power generated by a wind turbine can be expressed as: .

[0091] in, represents wind power generation, represents wind power generation power, Represents the running time (in hours).

[0092] For example, the number of wind turbines can be expressed as: .

[0093] in, represents the number of wind turbines, represents the energy demand, represents the energy supply and demand coefficient, Represents wind power generation power.

[0094] Regarding the inverter 104, the corresponding evaluation information includes the energy output by the inverter 104. As an optional implementation, determining the evaluation information corresponding to the inverter 104 includes: determining the energy output by the inverter 104 according to the efficiency of the inverter 104 and the output power of the photovoltaic power generation system 101.

[0095] It can be understood that the inverter 104 is connected to the photovoltaic power generation system 101 , so the energy outputted by the inverter 104 needs to be determined in combination with the output electrical energy of the photovoltaic power generation system 101 .

[0096] For example, the energy output by the inverter 104 can be expressed as: .

[0097] Among them, E INV-PV(t) represents the energy (electric energy) output per hour by the inverter 104 required by the photovoltaic power generation system 101, represents the efficiency of the inverter 104, Represents the output electric energy of the photovoltaic power generation system 101 (in kWh).

[0098] Regarding the battery storage system 103, the corresponding evaluation information includes: the electric energy stored in the battery and the number of batteries. It can be understood that the battery storage system 103 includes a battery pack, and the battery pack includes multiple batteries, so the required number of batteries needs to be evaluated.

[0099] As an optional implementation, determining the evaluation information corresponding to the battery storage system 103 includes: determining the battery pack capacity according to the load demand, the longest operating days, the distribution voltage and the maximum depth of discharge value of the battery; determining the number of batteries according to the battery pack capacity and the capacity of a single battery; determining the battery storage electric energy corresponding to the charging state according to the electric energy output by the battery in the charging state and the battery charging efficiency; determining the battery storage electric energy corresponding to the discharging state according to the load demand in the discharging state.

[0100] In this embodiment, the battery storage energy corresponding to the charging state and the discharging state is different. The load demand can be determined according to the aforementioned predicted load data.

[0101] For example, the battery capacity can be expressed as: ).

[0102] in, Represents the battery capacity, represents the load demand, Represents the longest running days, Represents the distribution voltage, Represents the maximum depth of discharge of the battery.

[0103] The maximum operating days and distribution voltage can be determined through records and statistical data.

[0104] The maximum depth of discharge can be determined based on the minimum charging voltage and the maximum charging voltage.

[0105] For example, the maximum depth of discharge value can be expressed as: =(1-d)×100.

[0106] in, represents the maximum depth of discharge value, and d represents the ratio of the minimum charging voltage to the maximum charging voltage.

[0107] For example, the number of batteries can be expressed as: .

[0108] in, Represents the number of batteries, Represents the battery capacity, Represents the capacity of a single battery.

[0109] For example, the battery storage energy corresponding to the charging state can be expressed as: .

[0110] Among them, E BAT (t) represents the battery storage energy at time t, E BAT (t-1) represents the battery storage energy at time t-1, E CC (t) represents the electrical energy output per hour by the battery in the charging state, Represents the battery charging efficiency.

[0111] For example, the battery storage energy corresponding to the discharge state can be expressed as: E BAT (t) = E BAT (t-1)- E demand (t).

[0112] Among them, E BAT (t) represents the battery storage energy at time t, E BAT (t-1) represents the battery storage energy at time t-1, E demand (t) represents the load demand at time t.

[0113] Furthermore, based on the evaluation information corresponding to the photovoltaic power generation system 101, the photovoltaic power generation system 101 can be more perfectly constructed; based on the evaluation information corresponding to the wind power generation system 102, the wind power generation system 102 can be more perfectly constructed; based on the evaluation information corresponding to the inverter 104, the inverter 104 can be more perfectly constructed; based on the evaluation information corresponding to the battery storage system 103, the battery storage system 103 can be more perfectly constructed. Thus, the stability and reliability of the microgrid system are guaranteed.

[0114] It can be understood that the above-mentioned construction includes, but is not limited to: hardware construction, software construction and parameter adjustment, etc., which are not limited here.

[0115] In some embodiments, in order to achieve sustainable energy security for a microgrid system, V2G (Vehicle-to-Grid) technology may be introduced into the microgrid system.

[0116] Figure 3 is a schematic diagram of a system architecture based on V2G technology according to an exemplary embodiment. Figure 3 As shown, the off-grid island microgrid system 100 is connected to the intelligent charging and discharging device, and the intelligent charging and discharging device is connected to the electric vehicle.

[0117] Among them, two data flows, namely power flow and information flow, are involved between the off-grid island microgrid system 100 and the smart charging and discharging device; similarly, two data flows, namely power flow and information flow, are involved between the smart charging and discharging device and the electric vehicle.

[0118] The intelligent charging and discharging device can be understood as a device with charging and discharging functions. Therefore, in this system architecture, the microgrid system can provide power to the electric vehicle, and the electric vehicle can also provide power to the microgrid in reverse.

[0119] The above-mentioned electric vehicle may be an electric car or other electric vehicles.

[0120] In off-grid island microgrids, V2G technology is introduced to improve energy efficiency and grid stability. Microgrids usually rely on renewable green energy, such as solar and wind energy, which are intermittent and unstable. Electric vehicles, as the main means of transportation in island areas, can use V2G technology to provide stability support for the system. V2G technology optimizes energy efficiency by allowing electric vehicles to store energy when electricity demand is low and release energy during peak hours. In addition, electric vehicles, as mobile energy storage units, provide necessary grid regulation services and enhance the stability and reliability of the grid. At the same time, it also promotes the use of renewable green energy and creates economic benefits for microgrid operators and electric vehicle users.

[0121] V2G technology has significant advantages in off-grid island microgrids. First, it can provide the flexibility needed by the grid to cope with the volatility of renewable green energy. Second, V2G technology, as a backup power source, ensures the continuous power supply of critical loads when the power supply is unstable, thereby enhancing the reliability of the grid. Environmentally, V2G technology reduces carbon emissions by reducing dependence on fossil fuels, making it environmentally friendly. Finally, V2G technology allows electric vehicle users to obtain economic compensation by participating in demand response and providing energy storage services, which has obvious economic benefits.

[0122] In practical applications, V2G technology can be combined with island microgrids and energy storage solutions to build off-grid microgrids that support photovoltaic and wind power access. The energy management system can accurately coordinate and control power generation, energy storage and electricity consumption, and achieve coordinated control and economic operation of "source-grid-load-storage".

[0123] Therefore, as an optional implementation, the evaluation method also includes: determining a charging and discharging strategy based on predicted load data, wind power generation power and photovoltaic power generation power; synchronizing the charging and discharging strategy to the intelligent charging and discharging device and the electric vehicle, so that the intelligent charging and discharging device and the electric vehicle are charged or discharged according to the charging and discharging strategy.

[0124] It can be understood that the charging and discharging strategy is used to indicate when to charge and when to discharge. For example, if the wind power generation power and photovoltaic power generation power cannot meet the predicted load, the electric energy of the electric vehicle can be used as a backup power source to make up for the load demand gap.

[0125] Therefore, for example, by real-time monitoring of the status of each component in the microgrid, including photovoltaic panels, wind turbines, electric vehicles, and energy storage units, real-time data on energy production, storage, and consumption are collected. Using this data, forecasting and load analysis are performed to evaluate power demand and renewable green energy generation, and then an optimization algorithm is used to develop an accurate charging and discharging scheduling plan.

[0126] This plan can ensure that electric vehicles are charged when there is excess electricity, and that electric vehicles are discharged to the grid when there is a shortage of electricity or peak demand, thus achieving a balance between supply and demand. It can also respond to electricity price signals or system demand, triggering demand response events, and incentivizing users to charge when electricity prices are low and discharge during peak hours, thereby balancing the grid load and improving economic efficiency.

[0127] In addition, it coordinates other energy storage devices to provide additional regulation capabilities, smooths the intermittency of renewable green energy, and interacts with users through the user interface, receives user feedback, and updates the scheduling plan. Throughout the process, it ensures the safety of all operations to avoid damage to the equipment, and issues control instructions through the communication network to achieve real-time control and automated management. This highly intelligent energy management method enables V2G technology to maximize its potential in microgrids, optimize power resource allocation, and improve system performance and economic benefits.

[0128] The above-mentioned corresponding control and management can be implemented by the energy management system in the control system 105. That is, for the control system 105, energy management can also be implemented based on the V2G technology.

[0129] V2G technology provides an innovative way for electric vehicle users and microgrid operators to realize economic benefits by taking advantage of the difference between peak and valley electricity prices. This process begins with real-time monitoring of electricity price changes to identify low and high electricity price periods during the day.

[0130] During the night or off-peak hours when electricity prices are low, the V2G system controls electric vehicles to charge and store energy at a lower cost. Later, during the day or peak hours when electricity prices are higher, the system dispatches electric vehicles to discharge to the grid and sell the stored electricity, thereby obtaining higher profits.

[0131] In addition, the V2G system can work with other energy storage devices in the microgrid to further refine the charging and discharging plan through intelligent prediction and optimization algorithms to maximize economic benefits. Users can participate in this process based on the system's recommendations or personal preferences, and interact with the grid through demand response plans to obtain additional incentives.

[0132] This arbitrage mechanism of V2G technology not only brings economic benefits to participants, but also promotes the effective use of clean energy and the balance and stability of the power grid, and promotes the development of smart grids and sustainable transportation systems. In terms of supporting the island economy, V2G technology ensures stable power supply for island residents and tourists, providing reliable energy guarantee for the development of the island economy and tourism.

[0133] In the disclosed embodiment, in addition to the above-mentioned load assessment, wind energy assessment, solar energy assessment and technical assessment, an economic assessment can also be performed. Through the economic assessment, the microgrid model can have certain economic advantages, thereby ensuring the reliable operation of the entire system.

[0134] Regarding economic evaluation, the lowest electricity cost for users can be evaluated through the levelized cost of electricity, and the annual life cycle cost of the system can be evaluated through the capital recovery factor of the system.

[0135] Therefore, as an optional implementation, the evaluation method also includes: determining the present value of costs over the life cycle; determining the user's minimum electricity cost based on the present value of costs; determining the total capital cost; determining the annual operating cost; determining the economic evaluation results based on the minimum electricity cost, the present value of costs, the total capital cost and the total capital cost annual operating cost; and optimizing the off-grid island microgrid system 100 based on the economic evaluation results.

[0136] You can first calculate the levelized cost of electricity. Specifically, the levelized cost of electricity = the present value of the cost during the life cycle / the present value of the power generation during the life cycle. Among them, the present value of power generation during the life cycle is the actual value of the power generation.

[0137] Regarding the present value of costs during the life cycle, it can be expressed as: Present value of costs during the life cycle = initial investment - present value of tax exemptions due to depreciation during the life cycle + present value of costs due to project operations during the life cycle - present value of residual value of fixed assets.

[0138] The specific calculation method of the above present values ​​can refer to the mature technology in this field and will not be introduced here.

[0139] Furthermore, through the present value of costs over the life cycle, we can derive the lowest unit price per kilowatt-hour of electricity charged to consumers, that is, the lowest electricity cost for users.

[0140] The total capital cost can be understood as evaluating the cost from the capital dimension. As an optional implementation, determining the total capital cost includes: obtaining the capital cost of the solar photovoltaic panels, the capital cost of the wind turbines, the capital cost of the battery storage system 103, and the fixed capital cost; determining the total capital cost based on the capital cost of the solar photovoltaic panels, the capital cost of the wind turbines, the capital cost of the battery storage system 103, and the fixed capital cost.

[0141] Among them, the capital cost of the solar photovoltaic panels, the capital cost of the wind turbines, the capital cost of the battery storage system 103 and the fixed capital cost can be the capital costs calculated or counted for the corresponding systems.

[0142] For example, the total capital cost can be expressed as: .

[0143] in, represents the total capital cost, represents the capital cost of a single solar PV panel, represents the capital cost of a single wind turbine, represents the capital cost of a single battery, Represents fixed capital cost. , and They represent the number of solar photovoltaic panels, wind turbines and batteries respectively.

[0144] The annual operating cost can be understood as the cost evaluated from the operational dimension. As an optional implementation, determining the annual operating cost includes: obtaining the operating cost of the photovoltaic power generation system 101, the operating cost of the wind power generation system 102, the operating cost of the battery storage system 103, and the fixed operating cost; determining the annual operating cost based on the operating cost of the photovoltaic power generation system 101, the operating cost of the wind power generation system 102, the operating cost of the battery storage system 103, and the fixed operating cost.

[0145] The operating costs of the photovoltaic power generation system 101 , the operating costs of the wind power generation system 102 , the operating costs of the battery storage system 103 and the fixed operating costs can be determined by statistics or calculation based on the actual operating conditions of the corresponding systems.

[0146] For example, the annual operating cost can be expressed as: .

[0147] in, Represents the annual operating cost, represents the hourly operating cost of the photovoltaic power generation system 101, represents the hourly operating cost of the wind power generation system 102, represents the hourly operating cost of the battery storage system 103, Represents the fixed hourly operating cost.

[0148] Further, based on the capital cost per kilowatt-hour and the annual operating cost per kilowatt-hour, these data and the expected life of each system are input into the software for optimization to optimize each subsystem of the off-grid island microgrid system 100.

[0149] Therefore, the economic evaluation results can characterize whether the economic cost is reasonable. If it is reasonable, there is no need for optimization; if it is unreasonable, it needs to be optimized.

[0150] For example, during the optimization process, the hybrid microgrid is adjusted by simulating each system under the constraint conditions in the software. For example, the optimization result reflects two different configuration schemes of the photovoltaic power generation system 101: the photovoltaic power generation system 101 without the tracking system and the photovoltaic power generation system 101 with the horizontal axis adjustment.

[0151] Based on the two economic models, the minimum electricity cost per user, the cost present value in the life cycle, the total capital cost and the annual operating cost of the two configurations are calculated, and the photovoltaic power generation system 101 coefficients and the system operation and maintenance costs of the two configurations are compared to obtain the most economical and practical configuration, so as to minimize the electricity price. In general, the photovoltaic power generation system 101 without a tracking system is more practical.

[0152] That is, when conducting an economic evaluation, you can first give multiple system configuration plans, then calculate the corresponding cost data of the multiple systems respectively, and then select a more economical configuration plan from the multiple system configuration plans based on the corresponding cost data.

[0153] From the introduction of the above embodiments, it can be seen that in terms of renewable green energy assessment, a detailed assessment is conducted on the renewable green energy resources in the island area, especially solar energy and wind energy. The assessment includes the measurement and analysis of factors such as sunshine duration, solar radiation intensity and wind speed distribution, as well as the impact of these factors on power generation potential. The assessment results are used to predict the power generation of renewable green energy and ensure the accuracy and reliability of microgrid design.

[0154] In terms of optimizing the configuration of the photovoltaic power generation system 101, the optimal tilt angle of the solar photovoltaic panels is calculated, and the number of photovoltaic panels required is calculated according to the geographical location and sunshine conditions. The layout and orientation of the solar photovoltaic panels are realized to maximize the efficiency of solar energy collection and power generation.

[0155] Optimization of the wind power generation system 102 involves evaluating the power generation of wind turbines, including measuring parameters such as wind speed, wind direction, and air density, and determining the number and layout of wind turbines based on these data to optimize the use of wind energy.

[0156] In terms of battery energy storage system evaluation, the capacitance of the battery pack, the battery state of charge, and the number of batteries required are calculated. This involves the selection of battery technology, the configuration of the battery pack, and how to manage the battery charging and discharging process to extend battery life and optimize energy storage efficiency.

[0157] In terms of energy management, by real-time monitoring of microgrid status, collecting real-time data on energy production, storage and consumption, and using these data to perform load forecasting and power demand analysis, a charging and discharging scheduling plan is then developed to achieve supply and demand balance and economic operation.

[0158] In terms of the application of V2G technology in microgrids, applying V2G technology to microgrids can provide necessary grid regulation services and enhance grid stability and reliability by storing energy when electricity demand is low and releasing energy during peak hours.

[0159] In terms of the peak-valley electricity price difference arbitrage mechanism, arbitrage is carried out by utilizing the peak-valley difference in electricity prices, including real-time monitoring of electricity price changes, identifying strategies for charging during low electricity price periods and discharging during high electricity price periods, and creating economic benefits for users and operators through this mechanism.

[0160] In terms of economic evaluation, economic models such as levelized cost of electricity and capital recovery factor are used to evaluate the economic feasibility of microgrids. By calculating the minimum electricity cost, capital cost and operating cost over the entire system life cycle, an effective and accurate economic evaluation can be achieved.

[0161] In terms of microgrid configuration scheme optimization, the most cost-effective microgrid configuration scheme is selected, including technical and economic optimization analysis and economic benefit calculation of different energy combinations to ensure the rationality of investment and cost minimization.

[0162] Furthermore, on the basis of environmental friendliness and economic feasibility, we can reduce dependence on fossil fuels and lower greenhouse gas emissions, while ensuring economic benefits and returns on investment, thereby achieving the integrated application of clean energy technologies, as well as cost savings and performance improvements through optimized design and operation.

[0163] Therefore, the evaluation scheme of the embodiment of the present disclosure provides technical support for realizing the greening of energy supply based on its environmental protection characteristics. This technical scheme not only effectively reduces the dependence on fossil fuels, but also significantly reduces greenhouse gas emissions by carefully integrating clean energy technologies such as photovoltaic power generation, wind power generation and battery energy storage.

[0164] The combination of these two technologies ensures that the microgrid system can operate stably under different weather and light conditions. The introduction of battery energy storage technology provides the system with the necessary energy buffer, so that when energy production is excessive or insufficient, it can be adjusted through energy storage equipment, thereby improving the energy utilization efficiency of the entire system.

[0165] The introduction of V2G technology further enhances the flexibility and stability of the microgrid system, allowing electric vehicles to provide energy support during peak grid demand or store energy during low demand, thus achieving optimal energy allocation and efficient utilization. The integrated application of these technologies provides a clean and reliable power supply for the microgrid system and also achieves sustainable development.

[0166] Through economic optimization analysis, the most cost-effective microgrid configuration can be selected under various constraints. The economic benefits of different energy combinations can be calculated to ensure the rationality of investment and minimize costs. This optimization analysis not only reduces initial investment costs, but also helps to achieve cost savings in long-term operations and improve the economic returns of the microgrid system.

[0167] In addition, through refined management, energy distribution and equipment operation are optimized, energy utilization efficiency is further improved and operating costs are reduced. The integrated application of these technologies not only improves the performance of the microgrid system, but also provides solid technical support for the green development and economic benefits of the power industry.

[0168] The key to this technical solution is the technical evaluation, which conducts in-depth analysis of the off-grid island microgrid, covering the quantification of solar and wind energy resources, optimization of photovoltaic and wind turbine configuration, and battery energy storage and inverter 104 performance assessment to ensure accurate matching of energy supply and demand. The evaluation focuses on system efficiency, reliability and economy, providing a scientific basis for microgrid planning and cost-effectiveness.

[0169] Further integration of V2G technology will allow electric vehicles to store excess electricity and discharge it during peak hours, thereby enhancing the grid's regulation and stability, improving energy efficiency and economic benefits, and ensuring the sustainable development of microgrids.

[0170] Figure 4 4 is a structural block diagram of an evaluation device 400 for applying green energy to an off-grid island microgrid system according to an exemplary embodiment, the evaluation device comprising: The acquisition module 401 is configured to acquire historical load data, wind energy data and solar energy data, wherein the wind energy data is used to characterize the wind characteristics of a preset area, and the solar energy data is used to characterize the solar radiation characteristics of the preset area.

[0171] The energy assessment module 402 is configured to: determine the predicted load data of the preset area based on the historical load data; determine the wind power generation power of the wind power generation system 102 based on the wind energy data; determine the photovoltaic power generation power of the photovoltaic power generation system 101 based on the solar energy data; and determine the energy assessment result based on the predicted load data, the wind power generation power and the photovoltaic power generation power, and the energy assessment result is used to characterize whether the wind energy and solar energy in the preset area meet the power load demand of the preset area.

[0172] Optionally, the energy assessment module 402 is further configured to determine the output power of the photovoltaic power generation system 101 based on the photovoltaic derating factor, the rated power of the photovoltaic array, the solar radiation incident on the surface of the photovoltaic array and the radiation level used to assess the rated capacity of the photovoltaic array; and determine the photovoltaic power generation power of the photovoltaic power generation system 101 based on the available power, the area of ​​the solar photovoltaic panel, the efficiency of the photovoltaic module and the daytime lighting duration.

[0173] Optionally, the evaluation device also includes: a hardware evaluation module, configured to determine evaluation information corresponding to the photovoltaic power generation system 101, the evaluation information corresponding to the photovoltaic power generation system 101 includes: the inclination angle of the solar photovoltaic panel, the electric energy generated by the solar radiation on the inclined surface of the solar photovoltaic panel within a preset period and the number of solar photovoltaic panels; determine the evaluation information corresponding to the wind power generation system 102, the evaluation information corresponding to the wind power generation system 102 includes: the wind power generation of the wind turbine within a preset period and the number of wind turbines; determine the evaluation information corresponding to the inverter 104, the evaluation information corresponding to the inverter 104 includes the energy output by the inverter 104 within a preset period; determine the evaluation information corresponding to the battery storage system 103, the evaluation information corresponding to the battery storage system 103 includes: the electric energy stored in the battery and the number of batteries; a construction module, configured to: construct the microgrid system according to the evaluation information corresponding to the photovoltaic power generation system 101, the evaluation information corresponding to the wind power generation system 102, the evaluation information corresponding to the inverter 104 and the evaluation information corresponding to the battery storage system 103.

[0174] Optionally, the hardware evaluation module is further configured to: determine the inclination angle of the solar photovoltaic panel according to the latitude of the preset area; determine the electrical energy generated by solar radiation on the inclined surface of the solar photovoltaic panel according to the irradiance, the surface area of ​​the solar photovoltaic panel, the photovoltaic power generation penetration level coefficient and the solar photovoltaic efficiency; determine the number of the solar photovoltaic panels according to the energy demand, the energy supply and demand coefficient, the derated array output power, the irradiance on the inclined surface of the solar photovoltaic panel and the solar photovoltaic efficiency; wherein the derated array output power is determined according to the array rated output power, the manufacturing tolerance derating factor, the battery temperature derating factor and the surface dirt derating factor.

[0175] Optionally, the hardware evaluation module is further configured to: determine the wind power generation of the wind turbine according to the wind power generation power and operating time; determine the number of wind turbines in the wind power generation system 102 according to the wind power generation power, energy demand and energy supply and demand coefficient.

[0176] Optionally, the hardware evaluation module is further configured to determine the energy output by the inverter 104 according to the efficiency of the inverter 104 and the output electric energy of the photovoltaic power generation system 101 .

[0177] Optionally, the hardware evaluation module is further configured to: determine the battery pack capacity according to load demand, maximum operating days, distribution voltage and maximum depth of discharge value of the battery; determine the number of batteries according to the battery pack capacity and the capacity of a single battery; determine the battery storage energy corresponding to the charging state according to the battery output power and battery charging efficiency in the charging state; determine the battery storage energy corresponding to the discharging state according to the load demand in the discharging state.

[0178] Optionally, the evaluation device also includes: a charging and discharging control module, configured to: determine a charging and discharging strategy based on the predicted load data, the wind power generation power and the photovoltaic power generation power; synchronize the charging and discharging strategy to the intelligent charging and discharging device and the electric vehicle, so that the intelligent charging and discharging device and the electric vehicle are charged or discharged according to the charging and discharging strategy.

[0179] Optionally, the evaluation device also includes: an economic evaluation module, configured to: determine the user's minimum electricity cost; determine the present value of the cost over the life cycle; determine the total capital cost; determine the annual operating cost; determine the economic evaluation result based on the minimum electricity cost, the present value of the cost, the total capital cost and the annual operating cost of the total capital cost; an optimization module, configured to optimize the off-grid island microgrid system 100 based on the economic evaluation result.

[0180] Optionally, the economic evaluation module is further configured to: obtain the capital cost of the solar photovoltaic panels, the capital cost of the wind turbines, the capital cost of the battery storage system 103 and the fixed capital cost; and determine the total capital cost based on the capital cost of the solar photovoltaic panels, the capital cost of the wind turbines, the capital cost of the battery storage system 103 and the fixed capital cost.

[0181] Optionally, the economic evaluation module is further configured to: obtain the operating cost of the photovoltaic power generation system 101, the operating cost of the wind power generation system 102, the operating cost of the battery storage system 103 and the fixed operating cost; and determine the annual operating cost based on the operating cost of the photovoltaic power generation system 101, the operating cost of the wind power generation system 102, the operating cost of the battery storage system 103 and the fixed operating cost.

[0182] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0183] Figure 5 FIG. 5 is a block diagram of an electronic device 500 according to an exemplary embodiment. Figure 5 As shown, the electronic device 500 may include: a processor 501 , a memory 502 . The electronic device 500 may also include one or more of a multimedia component 503 , an input / output (I / O) interface 504 , and a communication component 505 .

[0184] The processor 501 is used to control the overall operation of the electronic device 500 to complete all or part of the steps in the above-mentioned evaluation method for applying green energy to an off-grid island microgrid system. The memory 502 is used to store various types of data to support the operation of the electronic device 500. For example, these data may include instructions for any application or method used to operate on the electronic device 500, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 502 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 503 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone, which is used to receive external audio signals. The received audio signal may be further stored in the memory 502 or sent through the communication component 505. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 504 provides an interface between the processor 501 and other interface modules, and the above-mentioned other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 505 is used for wired or wireless communication between the electronic device 500 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 505 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0185] In an exemplary embodiment, the electronic device 500 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned green energy application evaluation method for off-grid island microgrid systems.

[0186] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned green energy application evaluation method for an off-grid island microgrid system are implemented. For example, the computer-readable storage medium may be the above-mentioned memory 502 including program instructions, and the above-mentioned program instructions may be executed by the processor 501 of the electronic device 500 to complete the above-mentioned green energy application evaluation method for an off-grid island microgrid system.

[0187] In another exemplary embodiment, a computer program product is also provided, which includes a computer program that can be executed by a programmable device, and the computer program has a code portion for executing the above-mentioned evaluation method for applying green energy to an off-grid island microgrid system when executed by the programmable device.

[0188] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0189] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0190] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A method for evaluating green energy applied to an off-grid island microgrid system, characterized in that: The off-grid island microgrid system includes: a photovoltaic power generation system and a wind power generation system, and the evaluation method includes: Acquire historical load data, wind energy data, and solar energy data, wherein the wind energy data is used to characterize wind characteristics of a preset area, and the solar energy data is used to characterize solar radiation characteristics of the preset area; Determining predicted load data for the preset area based on the historical load data; Determining the wind power generation power of the wind power generation system according to the wind energy data; Determining the photovoltaic power generation power of the photovoltaic power generation system according to the solar energy data; An energy assessment result is determined based on the predicted load data, the wind power generation power and the photovoltaic power generation power, and the energy assessment result is used to characterize whether the wind energy and solar energy in the preset area meet the power load demand of the preset area.

2. The evaluation method according to claim 1, characterized in that: The wind energy data include: the area swept by the wind turbine blades, air density, average wind speed and the power coefficient of the wind turbine.

3. The evaluation method according to claim 1, characterized in that: The solar energy data includes: photovoltaic derating factor, rated power of photovoltaic array, solar radiation incident on the surface of photovoltaic array, radiation level for evaluating rated capacity of photovoltaic array, available power, area of ​​solar photovoltaic panel, efficiency of photovoltaic module and daytime lighting duration. Determining photovoltaic power generation power of photovoltaic power generation system according to the solar energy data includes: Determining the output power of the photovoltaic power generation system according to the photovoltaic derating factor, the rated power of the photovoltaic array, the solar radiation incident on the surface of the photovoltaic array and the radiation level used to evaluate the rated capacity of the photovoltaic array; The photovoltaic power generation power of the photovoltaic power generation system is determined according to the available power, the area of ​​the solar photovoltaic panel, the efficiency of the photovoltaic module and the daytime lighting duration.

4. The evaluation method according to claim 1, characterized in that: The off-grid island microgrid system further includes: an inverter and a battery storage system, and the evaluation method further includes: Determining evaluation information corresponding to the photovoltaic power generation system, the evaluation information corresponding to the photovoltaic power generation system including: the tilt angle of the solar photovoltaic panel, the electrical energy generated by solar radiation on the tilted surface of the solar photovoltaic panel, and the number of solar photovoltaic panels; Determining evaluation information corresponding to the wind power generation system, wherein the evaluation information corresponding to the wind power generation system includes: wind power generation of wind turbines and the number of wind turbines; Determining evaluation information corresponding to the inverter, wherein the evaluation information corresponding to the inverter includes energy output by the inverter; Determining evaluation information corresponding to the battery storage system, the evaluation information corresponding to the battery storage system including: electric energy stored in the battery and the number of batteries; The microgrid system is constructed according to the evaluation information corresponding to the photovoltaic power generation system, the evaluation information corresponding to the wind power generation system, the evaluation information corresponding to the inverter and the evaluation information corresponding to the battery storage system.

5. The evaluation method according to claim 4, characterized in that: The determining of the evaluation information corresponding to the photovoltaic power generation system includes: Determining the tilt angle of the solar photovoltaic panel according to the latitude of the preset area; Determine the electrical energy generated by solar radiation on the inclined surface of the solar photovoltaic panel based on the irradiance, the surface area of ​​the solar photovoltaic panel, the photovoltaic power generation penetration level coefficient and the solar photovoltaic efficiency; The number of solar photovoltaic panels is determined according to energy demand, energy supply and demand coefficient, derated array output power, irradiance on the slope of solar photovoltaic panels and solar photovoltaic efficiency; wherein the derated array output power is determined according to the array rated output power, manufacturing tolerance derated factor, battery temperature derated factor and surface dirt derated factor.

6. The evaluation method according to claim 4, characterized in that: The determining of the evaluation information corresponding to the wind power generation system includes: Determining the wind power generation of the wind turbine according to the wind power generation power and the operation time; The number of wind turbines in the wind power generation system is determined according to the wind power generation power, energy demand and energy supply and demand coefficient.

7. The evaluation method according to claim 4, characterized in that: The determining the evaluation information corresponding to the inverter includes: The energy output by the inverter is determined according to the efficiency of the inverter and the output electric energy of the photovoltaic power generation system.

8. The evaluation method according to claim 4, characterized in that: The determining the evaluation information corresponding to the battery storage system includes: Determine the battery pack capacity based on load demand, maximum operating days, distribution voltage and maximum battery depth of discharge value; Determining the number of the batteries according to the battery pack capacity and the single battery capacity; Determine the battery storage energy corresponding to the charging state according to the battery output power and the battery charging efficiency in the charging state; According to the load demand in the discharge state, the battery storage energy corresponding to the discharge state is determined.

9. The evaluation method according to claim 1, characterized in that: The off-grid island microgrid system is connected to an intelligent charging and discharging device, which is connected to an electric vehicle, and the evaluation method further includes: Determining a charging and discharging strategy according to the predicted load data, the wind power generation power and the photovoltaic power generation power; The charging and discharging strategy is synchronized to the intelligent charging and discharging device and the electric vehicle, so that the intelligent charging and discharging device and the electric vehicle are charged or discharged according to the charging and discharging strategy.

10. The evaluation method according to claim 1, characterized in that: The evaluation method also includes: Determine the present value of costs over the life cycle; Determining the minimum electricity cost for the user based on the present value of the cost; Determine total capital cost; Determine annual operating costs; Determining an economic evaluation result based on the minimum electricity cost, the present value of the cost, the total capital cost and the annual operating cost of the total capital cost; Based on the economic evaluation results, the off-grid island microgrid system is optimized.

11. The evaluation method according to claim 10, characterized in that: The off-grid island microgrid system also includes a battery storage system, and the determining of the total capital cost includes: Get the capital cost of solar PV panels, the capital cost of wind turbines, the capital cost of battery storage systems, and the fixed capital costs; The total capital cost is determined based on the capital cost of the solar photovoltaic panels, the capital cost of the wind turbine, the capital cost of the battery storage system, and the fixed capital cost.

12. The evaluation method according to claim 10, characterized in that: The off-grid island microgrid system further includes a battery storage system, and the annual operating cost is determined, including: Obtain the operating costs of the photovoltaic power generation system, the operating costs of the wind power generation system, the operating costs of the battery storage system, and the fixed operating costs; The annual operating cost is determined according to the operating cost of the photovoltaic power generation system, the operating cost of the wind power generation system, the operating cost of the battery storage system and the fixed operating cost.

13. An evaluation device for green energy application in off-grid island microgrid systems, characterized in that: The off-grid island microgrid system includes: a photovoltaic power generation system and a wind power generation system, and the evaluation device includes: an acquisition module, configured to acquire historical load data, wind energy data, and solar energy data, wherein the wind energy data is used to characterize wind characteristics of a preset area, and the solar energy data is used to characterize solar radiation characteristics of the preset area; The Energy Assessment Module is configured to: Determining predicted load data for the preset area based on the historical load data; Determining the wind power generation power of the wind power generation system according to the wind energy data; Determining the photovoltaic power generation power of the photovoltaic power generation system according to the solar energy data; An energy assessment result is determined based on the predicted load data, the wind power generation power and the photovoltaic power generation power, and the energy assessment result is used to characterize whether the wind energy and solar energy in the preset area meet the power load demand of the preset area.

14. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the evaluation method for applying green energy to an off-grid island microgrid system according to any one of claims 1 to 12 is implemented.

15. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the evaluation method for applying green energy to an off-grid island microgrid system as described in any one of claims 1 to 12.

16. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the evaluation method for applying green energy to an off-grid island microgrid system according to any one of claims 1 to 12 is implemented.

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