Multi-dimensional evaluation method and system for distributed photovoltaic resources

Abstract

The invention relates to the technical field of photovoltaic resource assessment, and discloses a multi-dimensional assessment method and system for distributed photovoltaic resources, and the method comprises the steps: presetting a plurality of resource assessment indexes of a to-be-assessed region, and collecting corresponding associated monitoring data based on the resource assessment indexes, generating sub-evaluation values of the plurality of resource evaluation indexes according to the associated monitoring data and a resource evaluation model; generating an initial assessment value of the to-be-assessed region according to the sub-assessment values, judging whether the initial assessment value is greater than a preset assessment value threshold, and if yes, performing planning analogue simulation on the current to-be-assessed region; acquiring simulation application data and generating a simulation application coefficient; and correcting the initial evaluation value according to the simulation application coefficient to obtain a comprehensive evaluation value, and generating an evaluation result corresponding to the to-be-evaluated area according to the comprehensive evaluation value, thereby realizing multi-dimensional evaluation of the application efficiency of the distributed photovoltaic resources and the to-be-built photovoltaic field station, and improving the evaluation accuracy and the site selection efficiency.

Description

Technical Field

[0001] This application relates to the technical field of photovoltaic resource assessment, and particularly to a multi-dimensional assessment method and system for distributed photovoltaic resources. Background Art

[0002] With the continuous progress of photovoltaic power generation technology and the reduction of the construction cost of photovoltaic power stations, photovoltaic power generation has become one of the main bodies of new energy investment. Vigorously developing photovoltaic power generation is an important way to build a new power system and achieve the green and low-carbon transformation of energy.

[0003] In the prior art, the assessment of distributed photovoltaic resources is affected by various factors such as topography, meteorological conditions, and land planning. There are few comprehensive assessment methods that comprehensively consider the above factors, and there is a lack of assessment of the application effect of the to-be-built photovoltaic power station site, making it difficult to comprehensively assess the potential photovoltaic power station site addresses, and reducing the site selection efficiency and accuracy. Summary of the Invention

[0004] To solve the above technical problems, this application provides a multi-dimensional assessment method and system for distributed photovoltaic resources. By setting multiple resource assessment indicators, an initial assessment value of the to-be-assessed area is obtained, and a planning simulation is performed on the to-be-assessed area to obtain simulation application data and generate a simulation application coefficient. The initial assessment value is corrected according to the simulation application coefficient to obtain a comprehensive assessment value, realizing the multi-dimensional assessment of the application efficiency of distributed photovoltaic resources and the to-be-built photovoltaic power station site, and improving the assessment accuracy and site selection efficiency.

[0005] In some embodiments of this application, a multi-dimensional assessment method for distributed photovoltaic resources is provided, including: Pre-set multiple resource assessment indicators for the to-be-assessed area, collect corresponding associated monitoring data based on the resource assessment indicators, and generate sub-assessment values of the multiple resource assessment indicators according to the associated monitoring data and the resource assessment model; Generate an initial assessment value of the to-be-assessed area according to the sub-assessment values of the multiple resource assessment indicators, and determine whether the initial assessment value is greater than the preset assessment value threshold. If so, perform a planning simulation on the current to-be-assessed area; Obtain the simulation application data during the planning simulation, and generate a simulation application coefficient corresponding to the to-be-assessed area according to the simulation application data; Correct the initial assessment value according to the simulation application coefficient to obtain a comprehensive assessment value, and generate an assessment result corresponding to the to-be-assessed area according to the comprehensive assessment value.

[0006] In some embodiments of this application, collecting the corresponding associated monitoring data based on the resource assessment indicators includes: Divide the area to be evaluated into multiple sub-areas to be evaluated, obtain the real-time monitoring data of each sub-area to be evaluated based on a preset time node, and perform preprocessing and standardization processing on the real-time monitoring data to obtain standard monitoring data of multiple categories; Perform credibility analysis on the standard monitoring data of the same category to determine the credibility of each standard monitoring data of the same category; Sort them in descending order of credibility, and obtain the standard monitoring data set of each category according to the sorting result, where the credibility of each standard monitoring data in the standard monitoring data set is greater than a preset credibility threshold; Perform correlation degree analysis on the standard monitoring data set of each category and each resource evaluation index to determine the correlation degree between the standard monitoring data set of each category and each resource evaluation index; Set the standard monitoring data set with a correlation degree greater than the preset correlation degree threshold as the initial associated monitoring data set of the corresponding resource evaluation index, and set the weight coefficient of the corresponding initial associated monitoring data set according to the corresponding correlation degree; Generate the importance degree of the corresponding data according to the weight coefficient of the initial associated monitoring data set and the credibility of the corresponding data, and obtain the associated monitoring data of each resource evaluation index according to the importance degree.

[0007] In some embodiments of the present application, generating sub-evaluation values of multiple resource evaluation indicators according to the associated monitoring data and the resource evaluation model includes: Construct a resource evaluation model for each resource evaluation index; Input the associated monitoring data of each resource evaluation index into the corresponding resource evaluation model to obtain a first sub-evaluation value; Obtain the second sub-evaluation value of the corresponding category according to the first sub-evaluation value of the associated monitoring data of the same category and the credibility of the corresponding associated data monitoring; Generate the sub-evaluation value of the corresponding resource evaluation index from the second sub-evaluation values of different categories of the same resource evaluation index and the weight coefficients of the corresponding categories.

[0008] In some embodiments of the present application, determine whether the initial evaluation value is greater than a preset evaluation value threshold. If so, perform planning simulation on the current area to be evaluated, including: Generate an initial evaluation value according to the sub-evaluation values of all resource evaluation indicators and the weight coefficients of the corresponding resource evaluation indicators; If the initial evaluation value is less than the preset initial evaluation value threshold, determine that the current area to be evaluated does not meet the requirements for the location selection of a photovoltaic power station; If the initial evaluation value is greater than the preset initial evaluation value threshold, obtain the static information and periodic information of the current area to be evaluated; Construct a simulation scenario of the current area to be evaluated according to the static information and periodic information; Obtain the demand information of the to-be-built photovoltaic power station in the current area to be evaluated, and obtain several preset planning information of the to-be-built photovoltaic power station according to the demand information and the simulation scenario of the current area to be evaluated, wherein the preset planning information includes the involved equipment, equipment layout information, and equipment connection information; Construct several planning simulation scenarios corresponding to the to-be-built photovoltaic power station according to the several preset planning information; Establish a location connection between the several planning simulation scenarios and the simulation scenario of the current area to be evaluated, and construct multiple planning simulation models.

[0009] In some embodiments of the present application, obtain the simulation application data during the planning simulation process, including: Set the main equipment in the corresponding planning simulation model according to the importance of the involved equipment in each planning simulation model; Pre-screen the first key resource data that affects the power generation efficiency of the photovoltaic power station and the key factors of the main equipment; Pre-set multiple monitoring periods and the monitoring time nodes of each monitoring period; Based on the simulation first key resource data of each planning simulation model in the current monitoring period, and combined with the simulation key factors of the key equipment in the same planning simulation model, generate the simulation power generation efficiency of the corresponding planning simulation model at each monitoring time node; Set the simulation power generation efficiency of multiple monitoring time nodes in each monitoring period as the first simulation application data of the corresponding planning simulation model; Pre-screen the second key resource data that affects the service life of the main equipment and the key components of the main equipment; Based on the simulation second key resource data of each planning simulation model in the current monitoring period, and combined with the preset loss data of the key components of the main equipment in the same planning simulation model, generate the simulation service life of the corresponding planning simulation model at each monitoring time node; Set the simulation service life of multiple monitoring time nodes in each monitoring period as the second simulation application data of the corresponding planning simulation model; Based on the same-time comparison principle, compare the power generation benefit data corresponding to the first simulation application data and the maintenance cost data corresponding to the second simulation application data of each planning simulation model at multiple same monitoring time nodes, and obtain the simulation economic cost of the corresponding planning simulation model at each monitoring time node; Set the simulation economic cost of multiple monitoring time nodes in each monitoring period as the third simulation application data of the corresponding planning simulation model.

[0010] In some embodiments of the present application, generating a simulation application coefficient corresponding to the area to be evaluated according to the simulation application data includes: Comparing the simulation power generation efficiency at multiple monitoring time nodes in each monitoring period in the first simulation application data with the preset power generation efficiency threshold at the corresponding monitoring time node of the preset power demand, and generating a first simulation application coefficient according to the comparison result; Generating a first compensation coefficient according to the fluctuation degree of the simulation power generation efficiency at multiple monitoring time nodes in each monitoring period; Comparing the simulation service life at multiple monitoring time nodes in each monitoring period in the second simulation application data with the preset service life threshold at the corresponding monitoring time node, and generating a second simulation application coefficient according to the comparison result; Generating a second compensation coefficient according to the decline rate of the simulation usage data at multiple monitoring time nodes in each monitoring period; Comparing the simulation economic cost at multiple monitoring time nodes in each monitoring period in the third simulation application coefficient with the preset economic cost threshold at the corresponding monitoring time node, and generating a third simulation application coefficient according to the comparison result; Generating a fourth simulation application coefficient corresponding to the planned simulation model according to the first simulation application coefficient, the first compensation coefficient, the second simulation application coefficient, the second compensation coefficient, and the third simulation application coefficient; The calculation formula of the fourth simulation application coefficient is: ; Wherein, F4 is the fourth simulation application coefficient, f1 is the first simulation application coefficient, m1 is the weight coefficient of the first simulation application coefficient, b1 is the first compensation coefficient, f2 is the second simulation application coefficient, m2 is the weight coefficient of the second simulation application coefficient, b2 is the second compensation coefficient, f3 is the third simulation application coefficient, and m3 is the weight coefficient of the third simulation application coefficient; Performing a mean value process on the fourth simulation application coefficients of several planned simulation models to obtain the simulation application coefficient of the current area to be evaluated.

[0011] In some embodiments of the present application, correcting the initial evaluation value according to the simulation application coefficient to obtain a comprehensive evaluation value includes: Performing a mean value process on the simulation application coefficients corresponding to multiple planned simulation models to obtain the mean value of the simulation application coefficients; Pre-setting a first preset simulation application coefficient interval, a second preset simulation application coefficient interval, a third preset simulation application coefficient interval, and a fourth preset simulation application coefficient interval; When the mean value of the simulation application coefficient is within the first preset simulation application coefficient interval, set the first preset correction coefficient a1 to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P = p1 * a1; When the mean value of the simulation application coefficient is within the second preset simulation application coefficient interval, set the second preset correction coefficient a2 to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P = p1 * a2; When the mean value of the simulation application coefficient is within the third preset simulation application coefficient interval, set the third preset correction coefficient a3 to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P = p1 * a3; When the mean value of the simulation application coefficient is within the fourth preset simulation application coefficient interval, set the fourth preset correction coefficient a4 to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P = p1 * a4; Among them, 0.8 < a1 < a2 < 1 < a3 < a4 < 1.2.

[0012] In some embodiments of the present application, generating an evaluation result corresponding to the area to be evaluated according to the comprehensive evaluation value includes: Preset a comprehensive evaluation value threshold in advance; If the comprehensive evaluation value is less than the preset initial evaluation value threshold, it is determined that the current area to be evaluated does not meet the photovoltaic power station site selection requirements; If the comprehensive evaluation value is less than the comprehensive evaluation value threshold and greater than the preset initial evaluation value threshold, the current area to be evaluated is set as a pending site selection area; If the comprehensive evaluation value is greater than the comprehensive evaluation value threshold, the current area to be evaluated is set as the site selection area for the corresponding photovoltaic power station to be built.

[0013] In some embodiments of the present application, there is also a multi-dimensional evaluation system for distributed photovoltaic resources: A setting module, configured to preset multiple resource evaluation indicators for the area to be evaluated, collect corresponding associated monitoring data based on the resource evaluation indicators, and generate sub-evaluation values of the multiple resource evaluation indicators according to the associated monitoring data and the resource evaluation model; A judgment module, configured to generate an initial evaluation value for the area to be evaluated according to the sub-evaluation values of the multiple resource evaluation indicators, and judge whether the initial evaluation value is greater than the preset evaluation value threshold. If so, perform a planning simulation for the current area to be evaluated; A simulation module, configured to obtain simulation application data during the planning simulation, and generate a simulation application coefficient corresponding to the area to be evaluated according to the simulation application data; An evaluation module, configured to correct the initial evaluation value according to the simulation application coefficient to obtain a comprehensive evaluation value, and generate an evaluation result corresponding to the area to be evaluated according to the comprehensive evaluation value.

[0014] A multi-dimensional evaluation method and system for distributed photovoltaic resources according to an embodiment of the present application, compared with the prior art, its beneficial effects are as follows: By setting multiple resource evaluation indicators, an initial evaluation value of the area to be evaluated is obtained, and the area to be evaluated is subjected to planning simulation to obtain simulation application data and generate a simulation application coefficient. The initial evaluation value is corrected according to the simulation application coefficient to obtain a comprehensive evaluation value, realizing multi-dimensional evaluation of the application efficiency of distributed photovoltaic resources and the planned photovoltaic power station to be built, and improving the evaluation accuracy and site selection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a schematic flow chart of a multi-dimensional evaluation method for distributed photovoltaic resources in an embodiment of the present application; Figure 2 is a schematic diagram of a multi-dimensional evaluation system for distributed photovoltaic resources in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The following will further describe in detail the specific embodiments of the present application in conjunction with the drawings and embodiments. The following embodiments are used to illustrate the present application, but are not used to limit the scope of the present application.

[0017] In the description of the present application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application.

[0018] The terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0019] In the description of the present application, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the internal communication of two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0020] As Figure 1 shown, a multi-dimensional evaluation method for distributed photovoltaic resources in an embodiment of the present application includes: Step S101: Preset multiple resource evaluation indicators for the area to be evaluated in advance, collect corresponding associated monitoring data based on the resource evaluation indicators, and generate sub-evaluation values of the multiple resource evaluation indicators according to the associated monitoring data and the resource evaluation model; Step S102: Generate an initial evaluation value for the area to be evaluated according to the sub-evaluation values of the multiple resource evaluation indicators, and determine whether the initial evaluation value is greater than a preset evaluation value threshold. If so, perform a planning simulation for the current area to be evaluated; Step S103: Obtain simulation application data during the planning simulation process, and generate a simulation application coefficient for the corresponding area to be evaluated according to the simulation application data; Step S104: Correct the initial evaluation value according to the simulation application coefficient to obtain a comprehensive evaluation value, and generate an evaluation result for the corresponding area to be evaluated according to the comprehensive evaluation value.

[0021] In this embodiment, the resource evaluation indicators include light resources, land resources, meteorological data, geographical information, etc. The resource evaluation model is trained according to historical monitoring data and corresponding historical evaluation values. The resource evaluation model is used to evaluate whether the corresponding resource evaluation indicators meet the resource requirements for establishing a photovoltaic power station. When the resource requirements are more met, the corresponding sub-evaluation value is larger, and vice versa.

[0022] In this embodiment, when the initial evaluation value is greater than the preset evaluation value threshold, it indicates that the area to be evaluated meets the minimum requirements for building a photovoltaic power station. Then, a planning simulation is performed on the area to be evaluated to obtain the simulation application coefficient of the area to be evaluated, realizing the comprehensive evaluation of the photovoltaic resources and application effects of the area to be evaluated.

[0023] In some embodiments of the present application, collecting corresponding associated monitoring data based on the resource evaluation indicators includes: Dividing the area to be evaluated into multiple sub-areas to be evaluated, obtaining real-time monitoring data of each sub-area to be evaluated based on a preset time node, and performing preprocessing and standardization processing on the real-time monitoring data to obtain standard monitoring data of multiple categories; Perform credibility analysis on the standard monitoring data of the same category to determine the credibility of each standard monitoring data of the same category; Sort according to the credibility from high to low, and obtain the standard monitoring data set of each category according to the sorting result. Among them, the credibility of each standard monitoring data in the standard monitoring data set is greater than a preset credibility threshold; Analyze the degree of association between the standard monitoring data sets of each category and each resource evaluation index to determine the degree of association between the standard monitoring data sets of each category and each resource evaluation index; Set the standard monitoring data sets with an association degree greater than the preset association degree threshold as the initial associated monitoring data sets for the corresponding resource evaluation indexes, and set the weight coefficients of the corresponding initial associated monitoring data sets according to the corresponding association degree; Generate the importance degree of the corresponding data according to the weight coefficient of the initial associated monitoring data set and the credibility of the corresponding data, and obtain the associated monitoring data of each resource evaluation index according to the importance degree.

[0024] In this embodiment, the preprocessing includes unifying the time unit, removing outliers, filling in missing values, and data cleaning. The unification is to uniformly process the data to ensure that the data has similar scales and distributions. Missing values refer to situations such as abnormal loss in the data. Outliers are data in the data set that are significantly different from other data. Data cleaning is the process of identifying and correcting data that is incorrect, inconsistent, or incomplete in the data set.

[0025] In this embodiment, the standardization process refers to classifying the real-time monitoring data to obtain real-time monitoring data of multiple categories, and performing standardization. The multiple categories include weather, light, terrain, etc., and the above categories can be further refined, which will not be elaborated here.

[0026] In this embodiment, when the association degree is larger, the weight coefficient of the corresponding initial associated monitoring data set is larger, and vice versa. The credibility refers to the accuracy of each standard monitoring data for the evaluation value of the corresponding resource evaluation index. When the accuracy is larger, the corresponding credibility is larger, and vice versa.

[0027] In this embodiment, importance degree = credibility of the standard monitoring data * weight coefficient of the corresponding initial associated monitoring data set. When the credibility is larger and the weight coefficient is larger, the importance degree is larger, and vice versa.

[0028] In this embodiment, by determining the associated monitoring data of each resource evaluation index, the subsequent data processing volume and analysis volume are reduced, the evaluation accuracy of the resource evaluation index is improved, and a foundation is laid for calculating the initial evaluation value.

[0029] In some embodiments of the present application, sub-evaluation values of multiple resource evaluation indexes are generated according to the associated monitoring data and the resource evaluation model, including: Construct a resource evaluation model for each resource evaluation index; Input the associated monitoring data of each resource evaluation index into the corresponding resource evaluation model to obtain the first sub-evaluation value; Obtain the second sub-evaluation value of the corresponding category based on the first sub-evaluation value of the associated monitoring data of the same category and the credibility of the corresponding associated data monitoring; Generate the sub-evaluation value of the corresponding resource evaluation index from the second sub-evaluation values of different categories of the same resource evaluation index and the weight coefficients of the corresponding categories.

[0030] In this embodiment, by calculating the second sub-evaluation values of the associated monitoring data of different categories, the sub-evaluation value of the corresponding resource evaluation index is obtained, improving the accuracy of the sub-evaluation value of the resource evaluation index.

[0031] In some embodiments of the present application, determine whether the initial evaluation value is greater than the preset evaluation value threshold. If so, perform a planning simulation on the current area to be evaluated, including: Generate the initial evaluation value based on the sub-evaluation values of all resource evaluation indexes and the weight coefficients of the corresponding resource evaluation indexes; If the initial evaluation value is less than the preset initial evaluation value threshold, determine that the current area to be evaluated does not meet the requirements for the location selection of the photovoltaic power station; If the initial evaluation value is greater than the preset initial evaluation value threshold, obtain the static information and periodic information of the current area to be evaluated; Construct a simulation scenario of the current area to be evaluated based on the static information and periodic information; Obtain the demand information of the photovoltaic power station to be built in the current area to be evaluated, and obtain several preset planning information of the photovoltaic power station to be built according to the demand information and the simulation scenario of the current area to be evaluated, where the preset planning information includes the involved equipment, equipment layout information, and equipment connection information; Construct several planning simulation scenarios corresponding to the photovoltaic power station to be built according to the several preset planning information; Establish a location connection between the several planning simulation scenarios and the simulation scenario of the current area to be evaluated to construct multiple planning simulation models.

[0032] In this embodiment, the static information refers to information that does not change. For example, the topography and geographical location of the area to be evaluated, and the periodic information refers to information that changes periodically. For example, the sunshine duration and seasonal changes of the area to be evaluated.

[0033] In this embodiment, the demand information of the photovoltaic power station to be built includes the power quality demand, economic benefit demand, carbon emission demand, etc. of the photovoltaic power station to be built. According to the demand information and the simulation scenario of the area to be evaluated, multiple preset planning information of the photovoltaic power station to be built is determined. The preset planning information refers to the photovoltaic power station planning that may meet the demand information.

[0034] In this embodiment, by constructing multiple planning simulation models, the application effect of the area to be evaluated is comprehensively evaluated, improving the comprehensiveness and accuracy of the evaluation of the area to be evaluated.

[0035] In some embodiments of the present application, simulation application data during the planning simulation process is obtained, including: According to the importance of the devices involved in each planning simulation model, the main devices in the corresponding planning simulation model are set; The first key resource data and the key factors of the main devices that affect the power generation efficiency of the photovoltaic power station are pre-screened; Multiple monitoring cycles and the monitoring time nodes of each monitoring cycle are preset; Based on the simulation first key resource data of each planning simulation model in the current monitoring cycle, and combined with the simulation key factors of the key devices in the same planning simulation model, the simulation power generation efficiency of the corresponding planning simulation model at each monitoring time node is generated; The simulation power generation efficiency of multiple monitoring time nodes in each monitoring cycle is set as the first simulation application data of the corresponding planning simulation model; The second key resource data and the key components of the main devices that affect the service life of the main devices are pre-screened; Based on the simulation second key resource data of each planning simulation model in the current monitoring cycle, and combined with the preset loss data of the key components of the main devices in the same planning simulation model, the simulation service life of the corresponding planning simulation model at each monitoring time node is generated; The simulation service life of multiple monitoring time nodes in each monitoring cycle is set as the second simulation application data of the corresponding planning simulation model; Based on the same-time comparison principle, the power generation benefit data corresponding to the first simulation application data and the maintenance cost data corresponding to the second simulation application data of each planning simulation model at multiple identical monitoring time nodes are compared to obtain the simulation economic cost of the corresponding planning simulation model at each monitoring time node; The simulation economic cost of multiple monitoring time nodes in each monitoring cycle is set as the third simulation application data of the corresponding planning simulation model.

[0036] In this embodiment, the key factors refer to the light area, occlusion situation, orientation, tilt angle, load-bearing capacity, etc. of the main devices, which refer to the factors in the main devices that have a greater impact on the power generation efficiency of the photovoltaic power station. The first key resource data refers to solar radiation intensity, sunshine duration, seasonal changes, etc., which refer to the resource data that has a greater impact on the power generation efficiency.

[0037] In this embodiment, a key component refers to a component that has a great impact on the operating state of the main equipment, and the second key resource data refers to resource data such as wind speed and probability of bad weather that have a great impact on the service life of the main components.

[0038] In this embodiment, the power generation benefit data is calculated based on the power generation efficiency and the on-grid electricity price at the corresponding monitoring time node, and is used to evaluate the power generation income at each monitoring time node. The maintenance cost data refers to the costs of the involved equipment, commissioning, installation, and maintenance investment expenses, and is used to evaluate the investment cost at each monitoring time node. The simulation economic cost refers to the profit income at each monitoring node.

[0039] In this embodiment, by determining the first simulation application data, the second simulation application data, and the third simulation application data, for subsequent evaluation of the simulation application effect of the area to be evaluated, for the comprehensive evaluation of the power generation efficiency, the service life of the involved equipment, and the economic benefits of the area to be evaluated, the evaluation accuracy of the area to be evaluated is improved, and the site selection efficiency and accuracy of the photovoltaic power station are improved.

[0040] In some embodiments of the present application, a simulation application coefficient corresponding to the area to be evaluated is generated according to the simulation application data, including: Comparing the simulation power generation efficiency at multiple monitoring time nodes in each monitoring cycle in the first simulation application data with the preset power generation efficiency threshold at the corresponding monitoring time node of the preset power demand, and generating a first simulation application coefficient according to the comparison result; Generating a first compensation coefficient according to the fluctuation degree of the simulation power generation efficiency at multiple monitoring time nodes in each monitoring cycle; Comparing the simulation service life at multiple monitoring time nodes in each monitoring cycle in the second simulation application data with the preset service life threshold at the corresponding monitoring time node, and generating a second simulation application coefficient according to the comparison result; Generating a second compensation coefficient according to the decline rate of the simulation usage data at multiple monitoring time nodes in each monitoring cycle; Comparing the simulation economic cost at multiple monitoring time nodes in each monitoring cycle in the third simulation application coefficient with the preset economic cost threshold at the corresponding monitoring time node, and generating a third simulation application coefficient according to the comparison result; Generating a fourth simulation application coefficient corresponding to the planned simulation model according to the first simulation application coefficient, the first compensation coefficient, the second simulation application coefficient, the second compensation coefficient, and the third simulation application coefficient; The calculation formula of the fourth simulation application coefficient is: ; Among them, F4 is the fourth simulation application coefficient, f1 is the first simulation application coefficient, m1 is the weight coefficient of the first simulation application coefficient, b1 is the first compensation coefficient, f2 is the second simulation application coefficient, m2 is the weight coefficient of the second simulation application coefficient, b2 is the second compensation coefficient, f3 is the third simulation application coefficient, and m3 is the weight coefficient of the third simulation application coefficient; The fourth simulation application coefficients of several planned simulation models are averaged to obtain the simulation application coefficient of the current area to be evaluated.

[0041] In this embodiment, the preset power demand refers to the supply demand received when the to-be-built photovoltaic power station is connected to the grid. The supply demand is divided into corresponding monitoring time nodes of the corresponding monitoring period to obtain the preset power generation efficiency threshold at each monitoring time node. The preset power generation efficiency threshold refers to the minimum power generation efficiency that meets the supply demand.

[0042] In this embodiment, when the simulated power generation efficiencies at multiple monitoring time nodes are all greater than the preset power generation efficiency threshold, the larger the corresponding first simulation application coefficient, and vice versa. The smaller the fluctuation degree of the simulated power generation efficiency in the same monitoring period, the more stable the corresponding light resource and the more stable the power supply, then the larger the first compensation coefficient, and vice versa. The value range of the first compensation coefficient is (0.75, 1.25).

[0043] In this embodiment, the preset service life threshold refers to the maximum service life under normal wear and tear, that is, the maximum remaining life of the corresponding key components. When the simulated service life at each monitoring time node is greater than the preset service life threshold, the larger the corresponding second simulation application coefficient, and vice versa. When the decline rate of the simulated service life in the same monitoring period is slower, the larger the corresponding second compensation coefficient, and vice versa. The value range of the second compensation coefficient is (0.8, 1.2).

[0044] In this embodiment, the preset economic cost threshold refers to the minimum economic efficiency of the to-be-built photovoltaic power station at each monitoring time node, which is set in advance. When the simulated economic cost at each monitoring time node is greater than the preset economic cost threshold, the larger the corresponding third simulation application coefficient, and vice versa.

[0045] In this embodiment, by calculating the fourth simulation application coefficient of each planned simulation model, the simulation application effect of the area to be evaluated after establishing different preset planning information is accurately evaluated, so as to accurately judge whether the area to be evaluated can be used as the site address of the to-be-built photovoltaic power station, improving the evaluation accuracy.

[0046] In some embodiments of the present application, the initial evaluation value is corrected according to the simulation application coefficient to obtain a comprehensive evaluation value, including: Perform mean processing on the simulation application coefficients corresponding to multiple planning simulation models to obtain the mean value of the simulation application coefficients; Preset a first preset simulation application coefficient interval, a second preset simulation application coefficient interval, a third preset simulation application coefficient interval, and a fourth preset simulation application coefficient interval; When the mean value of the simulation application coefficients is within the first preset simulation application coefficient interval, set a first preset correction coefficient a1 to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P = p1 * a1; When the mean value of the simulation application coefficients is within the second preset simulation application coefficient interval, set a second preset correction coefficient a2 to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P = p1 * a2; When the mean value of the simulation application coefficients is within the third preset simulation application coefficient interval, set a third preset correction coefficient a3 to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P = p1 * a3; When the mean value of the simulation application coefficients is within the fourth preset simulation application coefficient interval, set a fourth preset correction coefficient a4 to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P = p1 * a4; Among them, 0.8 < a1 < a2 < 1 < a3 < a4 < 1.2.

[0047] In this embodiment, when the preset simulation application coefficient interval where the simulation application coefficient is located is larger, it indicates that the current area to be evaluated has good application effects on the simulation power generation efficiency, simulation service life, and simulation economic cost of different plans for the planned photovoltaic power station to be built. Then, the corresponding correction coefficient should be larger to perform multi-dimensional and accurate evaluation of the photovoltaic resources in the area to be evaluated, improving the site selection efficiency and accuracy of the planned photovoltaic power station to be built.

[0048] In some embodiments of the present application, generate an evaluation result corresponding to the area to be evaluated according to the comprehensive evaluation value, including: Preset a comprehensive evaluation value threshold; If the comprehensive evaluation value is less than the preset initial evaluation value threshold, determine that the current area to be evaluated does not meet the requirements for photovoltaic power station site selection; If the comprehensive evaluation value is less than the comprehensive evaluation value threshold and greater than the preset initial evaluation value threshold, set the current area to be evaluated as a pending site selection area; If the comprehensive evaluation value is greater than the comprehensive evaluation value threshold, set the current area to be evaluated as the site selection area for the corresponding planned photovoltaic power station.

[0049] In some embodiments of the present application, as Figure 2 shown, it further includes a multi-dimensional evaluation system for distributed photovoltaic resources: A setting module is configured to preset multiple resource evaluation indicators for the area to be evaluated, collect corresponding associated monitoring data based on the resource evaluation indicators, and generate sub-evaluation values of the multiple resource evaluation indicators according to the associated monitoring data and the resource evaluation model; A judgment module is configured to generate an initial evaluation value for the area to be evaluated according to the sub-evaluation values of the multiple resource evaluation indicators, and judge whether the initial evaluation value is greater than a preset evaluation value threshold. If so, conduct a planning simulation for the current area to be evaluated; A simulation module is configured to obtain simulation application data during the planning simulation process and generate a simulation application coefficient for the corresponding area to be evaluated according to the simulation application data; An evaluation module is configured to correct the initial evaluation value according to the simulation application coefficient to obtain a comprehensive evaluation value, and generate an evaluation result for the corresponding area to be evaluated according to the comprehensive evaluation value.

[0050] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present application, several improvements and replacements can be made, and these improvements and replacements should also be regarded as the protection scope of the present application.

Claims

1. A multi-dimensional evaluation method for distributed photovoltaic resources, characterized in that: include: Preset multiple resource assessment indicators for the area to be assessed, collect corresponding associated monitoring data based on the resource assessment indicators, and generate sub-assessment values ​​of multiple resource assessment indicators according to the associated monitoring data and the resource assessment model; Generate an initial evaluation value of the area to be evaluated according to the sub-evaluation values ​​of multiple resource evaluation indicators, and determine whether the initial evaluation value is greater than a preset evaluation value threshold. If so, perform planning simulation on the current area to be evaluated; Acquire simulation application data in the planning simulation process, and generate simulation application coefficients corresponding to the area to be evaluated according to the simulation application data; The initial evaluation value is corrected according to the simulation application coefficient to obtain a comprehensive evaluation value, and an evaluation result corresponding to the area to be evaluated is generated according to the comprehensive evaluation value.

2. The multi-dimensional evaluation method of distributed photovoltaic resources according to claim 1, characterized in that: Collect the corresponding related monitoring data based on resource assessment indicators, including: The area to be evaluated is divided into multiple sub-areas to be evaluated, real-time monitoring data of each sub-area to be evaluated is obtained based on preset time nodes, and the real-time monitoring data is preprocessed and standardized to obtain standard monitoring data of multiple categories; Conduct credibility analysis on standard monitoring data of the same category to determine the credibility of each standard monitoring data of the same category; Sort the data from high to low according to the credibility, and obtain a standard monitoring data set of each category according to the sorting result, wherein the credibility of each standard monitoring data in the standard monitoring data set is greater than a preset credibility threshold; Analyze the correlation between each category of standard monitoring data set and each resource assessment indicator to determine the correlation between each category of standard monitoring data set and each resource assessment indicator; The standard monitoring data set with a correlation degree greater than a preset correlation degree threshold is set as the initial correlation monitoring data set corresponding to the resource evaluation indicator, and the weight coefficient of the corresponding initial correlation monitoring data set is set according to the corresponding correlation degree; The importance of the corresponding data is generated according to the weight coefficient of the initial associated monitoring data set and the credibility of the corresponding data, and the associated monitoring data of each resource evaluation indicator is obtained according to the importance.

3. The multi-dimensional evaluation method of distributed photovoltaic resources according to claim 2, characterized in that: Based on the associated monitoring data and resource assessment model, multiple sub-assessment values ​​of resource assessment indicators are generated, including: Construct resource assessment models for each resource assessment indicator; Input the associated monitoring data of each resource assessment indicator into the resource assessment model corresponding to the value to obtain a first sub-assessment value; Obtaining a second sub-evaluation value of the corresponding category according to the first sub-evaluation value of the associated monitoring data of the same category and the credibility of the corresponding associated data monitoring; The second sub-evaluation values ​​of different categories of the same resource evaluation indicator and the weight coefficients of the corresponding categories are used to generate the sub-evaluation values ​​of the corresponding resource evaluation indicator.

4. The multi-dimensional evaluation method of distributed photovoltaic resources according to claim 3, characterized in that: Determine whether the initial evaluation value is greater than the preset evaluation value threshold. If so, perform planning simulation on the current area to be evaluated, including: Generate an initial evaluation value based on the sub-evaluation values ​​of all resource evaluation indicators and the weight coefficients of the corresponding resource evaluation indicators; If the initial evaluation value is less than the preset initial evaluation value threshold, it is determined that the current area to be evaluated does not meet the requirements for the site selection of the photovoltaic power station; If the initial evaluation value is greater than the preset initial evaluation value threshold, the static information and periodic information of the current area to be evaluated are obtained; Construct a simulation scenario for the current area to be evaluated based on static information and periodic information; Obtain demand information of the photovoltaic station to be built in the current area to be evaluated, and obtain some preset planning information of the photovoltaic station to be built according to the demand information and the simulation scenario of the current area to be evaluated, wherein the preset planning information includes the equipment involved, equipment layout information and equipment connection information; Constructing several planning simulation scenarios corresponding to the photovoltaic stations to be built according to several preset planning information; Establish positional links between several planning simulation scenarios and the simulation scenarios of the current area to be evaluated, and construct multiple planning simulation models.

5. The multi-dimensional evaluation method of distributed photovoltaic resources according to claim 4, characterized in that: Acquire simulation application data during planning simulation, including: According to the importance of the equipment involved in each planning simulation model, the main equipment in the corresponding planning simulation model is set; Pre-screen the first key resource data and key factors of main equipment that affect the power generation efficiency of photovoltaic power plants; Pre-set multiple monitoring cycles and monitoring time nodes for each monitoring cycle; Based on the simulated first key resource data of each planning simulation model in the current monitoring period, and combined with the simulation key factors of the key equipment in the same planning simulation model, the simulated power generation efficiency of the corresponding planning simulation model at each monitoring time node is generated; The simulated power generation efficiency of multiple monitoring time nodes in each monitoring cycle is set as the first simulation application data of the corresponding planning simulation model; Pre-screen the second key resource data and key components of the main equipment that have an impact on the service life of the main equipment; Based on the simulated second key resource data of each planning simulation model in the current monitoring cycle, and combined with the preset loss data of key components of the main equipment in the same planning simulation model, the simulated service life of the corresponding planning simulation model at each monitoring time node is generated; The simulated service life of a plurality of monitoring time nodes in each monitoring cycle is set as the second simulation application data corresponding to the planned simulation model; Based on the same time comparison principle, the power generation benefit data corresponding to the first simulation application data and the maintenance cost data corresponding to the second simulation application data of each planning simulation model at multiple same monitoring time nodes are compared to obtain the simulation economic cost of the corresponding planning simulation model at each monitoring time node; The simulated economic costs of multiple monitoring time nodes in each monitoring cycle are set as the third simulation application data corresponding to the planning simulation model.

6. The multi-dimensional evaluation method of distributed photovoltaic resources according to claim 5, characterized in that: Generate simulation application coefficients corresponding to the area to be evaluated based on simulation application data, including: Comparing the simulated power generation efficiency at multiple monitoring time nodes of each monitoring cycle in the first simulation application data with the preset power generation efficiency threshold at the monitoring time node corresponding to the preset power demand, and generating a first simulation application coefficient according to the comparison result; generating a first compensation coefficient according to the degree of fluctuation of the simulated power generation efficiency at a plurality of monitoring time nodes in each monitoring cycle; Comparing the simulated service life at multiple monitoring time nodes of each monitoring cycle in the second simulation application data with the preset service life threshold at the corresponding monitoring time node, and generating a second simulation application coefficient according to the comparison result; generating a second compensation coefficient according to a decrease rate of the simulation usage data at a plurality of monitoring time nodes in each monitoring cycle; Comparing the simulated economic costs at multiple monitoring time nodes of each monitoring period in the third simulation application coefficient with the preset economic cost thresholds at the corresponding monitoring time nodes, and generating the third simulation application coefficient according to the comparison result; Generate a fourth simulation application coefficient corresponding to the planning simulation model according to the first simulation application coefficient, the first compensation coefficient, the second simulation application coefficient, the second compensation coefficient and the third simulation application coefficient; The calculation formula of the fourth simulation application coefficient is: ； Wherein, F4 is the fourth simulation application coefficient, f1 is the first simulation application coefficient, m1 is the weight coefficient of the first simulation application coefficient, b1 is the first compensation coefficient, f2 is the second simulation application coefficient, m2 is the weight coefficient of the second simulation application coefficient, b2 is the second compensation coefficient, f3 is the third simulation application coefficient, and m3 is the weight coefficient of the third simulation application coefficient; The fourth simulation application coefficients of several planning simulation models are averaged to obtain the simulation application coefficient of the current area to be evaluated.

7. The multi-dimensional evaluation method of distributed photovoltaic resources according to claim 6, characterized in that: The initial evaluation value is corrected according to the simulation application coefficient to obtain a comprehensive evaluation value, including: Performing average processing on the simulation application coefficients corresponding to the multiple planning simulation models to obtain the average value of the simulation application coefficients; Presetting a first preset simulation application coefficient interval, a second preset simulation application coefficient interval, a third preset simulation application coefficient interval and a fourth preset simulation application coefficient interval; When the simulation application coefficient mean is within the first preset simulation application coefficient interval, the first preset correction coefficient a1 is set to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P=p1*a1; When the simulation application coefficient mean value is within the second preset simulation application coefficient interval, the second preset correction coefficient a2 is set to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P=p1*a2; When the simulation application coefficient mean value is within the third preset simulation application coefficient interval, the third preset correction coefficient a3 is set to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P=p1*a3; When the simulation application coefficient mean value is within the fourth preset simulation application coefficient interval, the fourth preset correction coefficient a4 is set to correct the initial evaluation value p1 to obtain a comprehensive evaluation value P, where P=p1*a4; Among them, 0.8<a1<a2<1<a3<a4<1.

2.

8. The multi-dimensional evaluation method of distributed photovoltaic resources according to claim 7, characterized in that: The evaluation results of the corresponding area to be evaluated are generated according to the comprehensive evaluation value, including: Pre-set comprehensive evaluation value thresholds; If the comprehensive evaluation value is less than the preset initial evaluation value threshold, it is determined that the current area to be evaluated does not meet the requirements for the site selection of the photovoltaic power station; If the comprehensive evaluation value is less than the comprehensive evaluation value threshold, and the comprehensive evaluation value is greater than the preset initial evaluation value threshold, the current area to be evaluated is set as the pending site selection area; If the comprehensive evaluation value is greater than the comprehensive evaluation value threshold, the current area to be evaluated is set as the site selection area corresponding to the photovoltaic power station to be built.

9. A multi-dimensional evaluation system for distributed photovoltaic resources, characterized in that: include: A setting module is used to pre-set multiple resource evaluation indicators of the area to be evaluated, collect corresponding associated monitoring data based on the resource evaluation indicators, and generate sub-evaluation values ​​of multiple resource evaluation indicators according to the associated monitoring data and the resource evaluation model; A judgment module is used to generate an initial evaluation value of the area to be evaluated according to the sub-evaluation values ​​of multiple resource evaluation indicators, and to judge whether the initial evaluation value is greater than a preset evaluation value threshold. If so, a planning simulation is performed on the current area to be evaluated; A simulation module is used to obtain simulation application data in the planning simulation process, and generate a simulation application coefficient corresponding to the area to be evaluated according to the simulation application data; The evaluation module is used to correct the initial evaluation value according to the simulation application coefficient to obtain a comprehensive evaluation value, and generate an evaluation result corresponding to the area to be evaluated according to the comprehensive evaluation value.

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