Evaluation method and device for coordinated development of photovoltaic power generation system and ecological environment

Abstract

The present disclosure provides an evaluation method and device for the coordinated development of a photovoltaic power generation system and an ecological environment, and relates to the field of data analysis technology. The method includes: constructing an evaluation index system based on multiple coordinated development evaluation factors, the evaluation index system includes an index layer and a factor layer; establishing multiple judgment matrices corresponding to the index layer and the factor layer based on the importance of the coordinated development evaluation factors; determining the weight vectors corresponding to the index layer and the factor layer and the maximum eigenvalue corresponding to each judgment matrix based on the judgment matrix; performing a consistency check on the judgment matrix based on the maximum eigenvalue and the weight vector, and determining the weight value corresponding to the coordinated development evaluation factor; and performing score calculation based on the preset reference value, the actual value of the evaluation factor and the weight value. The technical solution in the present disclosure can improve the accuracy and comprehensiveness of the evaluation method for the coordinated development of a photovoltaic power generation system and an ecological environment.

Description

Background Art

[0002] Photovoltaic power generation systems have played an important role in promoting the transformation and upgrading of energy, economy and industrial structure. With the growth of demand for renewable energy, their status in the power supply structure is increasing and their applications are becoming more and more extensive.

[0003] However, photovoltaic power generation systems are usually built in areas with sufficient sunshine, such as deserts, Gobi and wastelands. Although these areas are rich in solar energy resources, the ecological environment is usually fragile and highly sensitive. The construction and operation of photovoltaic power generation systems often have a certain impact on the ecological environment of these areas. Therefore, it is necessary to evaluate the coordinated development of photovoltaic power generation systems and the ecological environment of the region where they are located, so as to provide a theoretical basis for the verification of the impact mechanism of photovoltaic power generation system planning, design, operation and maintenance on the ecological environment and the coordinated improvement technology. Existing evaluation methods mostly rely on manual regular observation of the changes in the ecological environment in the area where the photovoltaic power generation system is located, and evaluate the coordinated development of the photovoltaic power generation system and the ecological environment through before-and-after comparative analysis. The accuracy and comprehensiveness of the evaluation still have room for improvement.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0005] The purpose of the embodiments of the present disclosure is to provide an evaluation method for the coordinated development of a photovoltaic power generation system and the ecological environment, an evaluation device for the coordinated development of a photovoltaic power generation system and the ecological environment, an electronic device and a computer-readable storage medium, thereby at least to a certain extent overcoming the problem of insufficient accuracy and comprehensiveness in the evaluation methods for the coordinated development of a photovoltaic power generation system and the ecological environment.

[0006] Other features and advantages of the present disclosure will become apparent from the following detailed description, or may be learned in part by the practice of the present disclosure.

[0007] According to a first aspect of an embodiment of the present disclosure, a method for evaluating the coordinated development of a photovoltaic power generation system and an ecological environment is provided, comprising: establishing a plurality of judgment matrices corresponding to the indicator layer and the factor layer based on the importance of the coordinated development evaluation factors; determining the weight vectors corresponding to the indicator layer and the factor layer and the maximum eigenvalue corresponding to each of the judgment matrices based on the judgment matrix; performing a consistency check on the judgment matrix based on the maximum eigenvalue and the weight vector, and determining the weight values ​​corresponding to the coordinated development evaluation factors; performing score calculation based on preset reference values, actual values ​​of the evaluation factors and the weight values, and taking the sum of the scores corresponding to all the coordinated development evaluation factors as the score for the coordinated development of the photovoltaic power generation system and the ecological environment.

[0008] In some example embodiments of the present disclosure, based on the aforementioned scheme, before constructing the evaluation index system based on the multiple coordinated development evaluation factors, it also includes: determining multiple coordinated development evaluation factors based on the impact relationship between the target photovoltaic power generation system and the ecological environment in the area where it is located; wherein the coordinated development evaluation factors include index factors and subdivided factors under each of the index factors.

[0009] In some example embodiments of the present disclosure, based on the aforementioned scheme, the indicator factors include environmental effect indicators, process operation indicators and maintenance management indicators; the subdivision factors under the environmental effect indicators include: artificial soil crust coverage, sand fixation measures efficiency, wind erosion intensity, wind erosion amount, surface disturbance area reduction rate, soil moisture content, soil organic matter content, soil loss rate and vegetation coverage rate; the subdivision factors under the process operation indicators include: photovoltaic module cleaning water reuse efficiency, photovoltaic module rainwater collection efficiency, living area hardened facility rainwater collection efficiency, dust accumulation power loss identification root mean square error and dust accumulation loss rate automatic identification time; the subdivision factors under the maintenance management indicators include: photovoltaic module cleaning cost, power generation increase benefit, soil temperature change degree, carbon emissions, carbon absorption.

[0010] In some example embodiments of the present disclosure, based on the aforementioned scheme, multiple judgment matrices corresponding to the indicator layer and factor layer are established based on the importance levels between the collaborative development evaluation factors, including: based on the importance levels between the indicator factors, an indicator judgment matrix corresponding to the indicator layer is established; based on the importance levels between the subdivided factors under each of the indicator factors, multiple factor judgment matrices corresponding to the factor layer are established.

[0011] In some example embodiments of the present disclosure, based on the above solution, determining the weight vectors corresponding to the indicator layer and the factor layer and the maximum eigenvalue corresponding to each judgment matrix based on the judgment matrix includes:

[0012] according to:

[0013]

[0014] Determine the weight vectors corresponding to the indicator layer and the factor layer; wherein, represents the weight vector, represents the element in the i-th row and j-th column of the judgment matrix, and n represents the dimension of the judgment matrix;

[0015] according to:

[0016]

[0017] Determine the maximum eigenvalue corresponding to each judgment matrix; wherein, represents the maximum characteristic root, M represents the judgment matrix, Represents the normalized weight vector.

[0018] In some example embodiments of the present disclosure, based on the above scheme, the consistency check of the judgment matrix based on the maximum characteristic root and the weight vector, and determining the weight value corresponding to the collaborative development evaluation factor, includes:

[0019] Determine the consistency index corresponding to each of the judgment matrices based on the maximum characteristic root;

[0020] Determine the consistency ratio corresponding to each of the judgment matrices according to the consistency index and the average random consistency index, and when the consistency ratio is less than a preset ratio threshold, the consistency of the corresponding judgment matrix meets the requirement;

[0021] Based on the total ranking weight of the factor layer to the indicator layer, performing an overall consistency test on the evaluation indicator system;

[0022] according to:

[0023]

[0024] Determine the weight value corresponding to the collaborative development evaluation factor; wherein, represents the weight value corresponding to the collaborative development evaluation factor, i represents the number of the collaborative development evaluation factors, q represents the dimension of the judgment matrix corresponding to the indicator layer, represents the weight vector corresponding to the indicator layer, Represents the weight vector corresponding to the factor layer.

[0025] In some example embodiments of the present disclosure, based on the aforementioned scheme, the score calculation is performed based on the preset reference value, the actual value of the evaluation factor and the weight value, and the sum of the scores corresponding to all the coordinated development evaluation factors is used as the score of the coordinated development of the photovoltaic power generation system and the ecological environment, including: obtaining multiple actual values ​​of the evaluation factors corresponding to the target photovoltaic power generation system; determining the score corresponding to each of the coordinated development evaluation factors based on the ratio of the actual value of each evaluation factor to its corresponding reference value and the product of the corresponding weight value; summing the scores corresponding to all the coordinated development evaluation factors to obtain the score of the coordinated development corresponding to the target photovoltaic power generation system.

[0026] According to a second aspect of an embodiment of the present disclosure, there is provided an evaluation device for the coordinated development of a photovoltaic power generation system and an ecological environment, the device comprising: an evaluation system construction module, for constructing an evaluation index system based on a plurality of coordinated development evaluation factors, the evaluation index system comprising an index layer and a factor layer; a judgment matrix establishment module, for establishing a plurality of judgment matrices corresponding to the index layer and the factor layer based on the importance of the coordinated development evaluation factors; a characteristic vector determination module, for determining the maximum characteristic root and the weight vector corresponding to the index layer and the factor layer based on the judgment matrix; a weight value determination module, for performing a consistency check on the judgment matrix based on the maximum characteristic root and the weight vector, and determining the weight value corresponding to the coordinated development evaluation factor; a score determination module, for performing score calculation based on a preset reference value, an actual value of the evaluation factor and the weight value, and taking the sum of the scores corresponding to all the coordinated development evaluation factors as the score for the coordinated development of the photovoltaic power generation system and the ecological environment.

[0027] According to a third aspect of an embodiment of the present disclosure, there is provided an electronic device, comprising: a processor; and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the above-mentioned method for evaluating the coordinated development of the photovoltaic power generation system and the ecological environment is implemented.

[0028] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the evaluation method for evaluating the coordinated development of a photovoltaic power generation system and an ecological environment as described above is implemented.

[0029] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects:

[0030] The evaluation method for evaluating the coordinated development of photovoltaic power generation systems and the ecological environment in the example embodiments of the present disclosure, on the one hand, by establishing a variety of coordinated development evaluation factors, can comprehensively analyze the coordinated development of photovoltaic power generation systems and the ecological environment from multiple aspects such as environmental effects, process operation and maintenance management; in addition, by using the judgment matrix and weight vector method, the qualitative evaluation is converted into a quantitative calculation, which ensures the objectivity and comparability of the evaluation process, and can accurately reflect the relative size of the contribution of each evaluation factor to the overall coordinated development, so that the evaluation result is more accurate; moreover, through consistency testing, it can effectively avoid unreasonable weight distribution caused by subjective judgment bias, and ensure the internal logical consistency of the evaluation system and the reliability of the evaluation results; on the other hand, the evaluation index system has a certain flexibility, and the evaluation factors and indicators, as well as the weights between them, can be adjusted according to actual conditions to adapt to the specific requirements of the coordinated development of photovoltaic power generation systems and the ecological environment in different regions and at different development stages.

[0031] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification are used to explain the principles of the present disclosure. Obviously, the accompanying drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without creative work.

[0033] Figure 1 A flow chart of a method for evaluating the coordinated development of a photovoltaic power generation system and an ecological environment according to some embodiments of the present disclosure is schematically shown.

[0034] Figure 2 A schematic diagram schematically shows an evaluation index system for the coordinated development of a photovoltaic power generation system and an ecological environment according to some embodiments of the present disclosure.

[0035] Figure 3 A flow chart of another method for evaluating the coordinated development of a photovoltaic power generation system and an ecological environment according to some embodiments of the present disclosure is schematically shown.

[0036] Figure 4 A block diagram of a device for evaluating the coordinated development of a photovoltaic power generation system and an ecological environment according to some embodiments of the present disclosure is schematically shown.

[0037] Figure 5 A schematic diagram of the structure of a computer system of an electronic device according to some embodiments of the present disclosure is schematically shown.

[0038] Figure 6 A schematic diagram of a computer-readable storage medium according to some embodiments of the present disclosure is schematically shown.

[0039] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts. DETAILED DESCRIPTION

[0040] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this specification. Instead, they are merely examples of devices and methods consistent with some aspects of this specification as detailed in the appended claims.

[0041] The terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit this specification. The singular forms "a", "the" and "the" used in this specification and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0042] It should be understood that although the terms first, second, third, etc. may be used in this specification to describe various information, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this specification, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0043] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more comprehensive and complete and will fully convey the concept of the example embodiments to those skilled in the art.

[0044] In addition, the described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known methods, devices, implementations or operations are not shown or described in detail to avoid blurring the various aspects of the present disclosure.

[0045] Furthermore, the drawings are only schematic illustrations and are not necessarily drawn to scale. The block diagrams shown in the drawings are only functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0046] Photovoltaic power generation systems have played an important role in promoting the transformation and upgrading of energy, economy and industrial structure. With the growth of demand for renewable energy, their status in the power supply structure is increasing and their application is becoming more and more extensive. Accelerating the construction of photovoltaic power generation systems will become one of the important measures to vigorously promote carbon emission reduction in the energy field.

[0047] However, photovoltaic power generation systems are usually built in areas with sufficient sunshine, such as deserts, Gobi and wastelands. Although these areas are rich in solar energy resources, the ecological environment is usually fragile and highly sensitive. The construction and operation of photovoltaic power generation systems often have a certain impact on the ecological environment of these areas. For example, large-scale photovoltaic panel laying will change the natural state of the surface, which may lead to the destruction of the original vegetation and affect the soil structure and biodiversity; in some cases, photovoltaic panels can reduce the evaporation of surface water and help maintain soil moisture. The construction of photovoltaic power generation systems in arid areas has an improving effect on the ecological environment and promotes vegetation recovery. Therefore, it is necessary to evaluate the coordinated development of photovoltaic power generation systems and the ecological environment of the region where they are located, so as to better provide a theoretical basis for the verification of the impact mechanism of photovoltaic power generation system planning, design, operation and maintenance on the ecological environment and the coordinated improvement of technology.

[0048] However, existing evaluation methods mostly rely on regular manual observation of ecological and environmental changes in the areas where photovoltaic power generation systems are located, and evaluate the coordinated development of photovoltaic power generation systems and the ecological environment through before-and-after comparative analysis. This method relies on the subjective judgment of observers and is highly subjective. The accuracy and comprehensiveness of the evaluation are insufficient, making it difficult to provide guidance and suggestions for the improvement of the technology for the coordinated development of photovoltaic power generation systems and the ecological environment.

[0049] In order to solve all or part of the technical problems in the above-mentioned related devices, in an exemplary embodiment of the present disclosure, a method for evaluating the coordinated development of a photovoltaic power generation system and an ecological environment is first provided.

[0050] Figure 1 The following schematically shows a flow chart of a method for evaluating the coordinated development of a photovoltaic power generation system and an ecological environment according to some embodiments of the present disclosure. Figure 1 As shown, the evaluation method for the coordinated development of the photovoltaic power generation system and the ecological environment may include the following steps:

[0051] Step S110, constructing an evaluation index system based on multiple collaborative development evaluation factors, the evaluation index system including an index layer and a factor layer;

[0052] Step S120, based on the importance of the collaborative development evaluation factors, establish multiple judgment matrices corresponding to the indicator layer and the factor layer;

[0053] Step S130, based on the judgment matrix, determining the weight vectors corresponding to the indicator layer and the factor layer and the maximum eigenvalue corresponding to each judgment matrix;

[0054] Step S140, performing consistency check on the judgment matrix based on the maximum eigenvalue and the weight vector, and determining the weight value corresponding to the collaborative development evaluation factor;

[0055] Step S150, performing score calculation based on preset reference values, actual values ​​of evaluation factors and weight values, and taking the sum of scores corresponding to the coordinated development evaluation factors as the score of the coordinated development of the target photovoltaic power generation system and the ecological environment.

[0056] According to the evaluation method for evaluating the coordinated development of photovoltaic power generation systems and the ecological environment in the above example embodiments, on the one hand, by establishing a variety of coordinated development evaluation factors, a comprehensive analysis of the coordinated development of photovoltaic power generation systems and the ecological environment can be conducted from multiple aspects such as environmental effects, process operation and maintenance management; in addition, by using the judgment matrix and weight vector method, the qualitative evaluation is converted into a quantitative calculation, which ensures the objectivity and comparability of the evaluation process, and can accurately reflect the relative size of the contribution of each evaluation factor to the overall coordinated development, making the evaluation result more accurate; moreover, through consistency testing, it can effectively avoid unreasonable weight allocation caused by subjective judgment bias, and ensure the internal logical consistency of the evaluation system and the reliability of the evaluation results; on the other hand, the evaluation index system has a certain flexibility, and the evaluation factors and indicators, as well as the weights between them, can be adjusted according to actual conditions to adapt to the specific requirements of the coordinated development of photovoltaic power generation systems and the ecological environment in different regions and at different development stages.

[0057] Next, the evaluation method of the coordinated development of the photovoltaic power generation system and the ecological environment in the exemplary embodiment will be further described.

[0058] In step S110, an evaluation index system is constructed based on multiple collaborative development evaluation factors, and the evaluation index system includes an index layer and a factor layer.

[0059] Among them, the coordinated development evaluation factor can represent the key variables used to measure and analyze the coordinated effects of photovoltaic power generation systems and the ecological environment in various aspects. The evaluation index system can represent a system composed of multiple related evaluation factors for systematically evaluating the coordinated development of photovoltaic power generation systems and the ecological environment. The indicator layer can represent the macro indicators used to evaluate the coordinated development of photovoltaic power generation systems and the ecological environment, and the factor layer can represent the specific subdivision of the macro indicators below the indicator layer, which can be used to evaluate the coordinated development of photovoltaic power generation systems and the ecological environment in specific aspects.

[0060] Specifically, Figure 2 A schematic diagram of an evaluation index system for the coordinated development of photovoltaic power generation systems and the ecological environment is shown schematically. The evaluation index system for the coordinated development of photovoltaic power generation systems and the ecological environment can be represented by A. The index layer can be represented by B, and the factors in the index layer can be represented by The factor layer can be represented by C, and the factors in the indicator layer can be represented by express.

[0061] In addition, in some embodiments, before constructing the evaluation index system, multiple coordinated development evaluation factors can be determined based on the impact relationship between the target photovoltaic power generation system and the ecological environment in the region where it is located; wherein the coordinated development evaluation factors include index factors and subdivided factors under each index factor.

[0062] Specifically, based on the actual situation of the photovoltaic power generation system, we can select a coordinated development evaluation factor that can reflect the coordinated development of the photovoltaic power generation system and the ecological environment in terms of wind and sand control, soil and water conservation, vegetation restoration, water resource recycling, sand and dust pollution identification, economic benefits, and ecological benefits.

[0063] In an example embodiment, reference Figure 2 As shown in the figure, the index factors in the evaluation index system of the coordinated development of photovoltaic power generation system and ecological environment include environmental effect index, process operation index and maintenance management index; the subdivision factors under the environmental effect index include: artificial soil crust coverage, efficiency of sand fixation measures, wind erosion intensity, wind erosion amount, surface disturbance area reduction rate, soil moisture content, soil organic matter content, soil loss rate and vegetation coverage rate; the subdivision factors under the process operation index include: photovoltaic module cleaning water reuse efficiency, photovoltaic module rainwater collection efficiency, living area hardened facility rainwater collection efficiency, dust accumulation power loss identification root mean square error and dust accumulation loss rate automatic identification time; the subdivision factors under the maintenance management index include: photovoltaic module cleaning cost, ecological restoration cost, power generation increase income, realizable ecological service value, economic crop value, soil temperature change degree, carbon emissions, carbon absorption, non-realizable ecological service value.

[0064] Among them, environmental effect indicators, process operation indicators and maintenance management indicators can constitute the indicator layer of the evaluation index system, and the subdivided factors under environmental effect indicators, process operation indicators and maintenance management indicators together constitute the factor layer of the evaluation index system. The coverage of artificial soil crust, the efficiency of sand fixation measures, wind erosion intensity and wind erosion amount can reflect the effect of wind and sand fixation, the reduction rate of surface disturbance area, soil moisture content, soil organic matter content, and soil loss rate can indicate the effect of soil and water conservation, and the vegetation coverage rate can indicate the effect of vegetation restoration. The efficiency of photovoltaic module washing water reuse, the efficiency of photovoltaic module rainwater collection and the efficiency of rainwater collection of hardened facilities in living areas can indicate the effect of water resource recycling, and the root mean square error of dust accumulation power loss identification and the automatic identification time of dust accumulation loss rate can indicate the effect of sand and dust pollution identification. The cost of photovoltaic module cleaning, the cost of ecological restoration, the income from increased power generation, the realizable ecological service value and the value of cash crops can indicate the economic benefits, and the degree of soil temperature change, carbon emissions, carbon absorption and non-realizable ecological service value can indicate the ecological effect.

[0065] Specifically, environmental effect indicators can characterize the positive or negative impact of photovoltaic power generation systems on the surrounding ecological environment, and can be used to reflect the effectiveness of ecological restoration or protection. Process operation indicators can characterize the daily operating efficiency and resource recycling of photovoltaic power generation systems. Maintenance management indicators can characterize the various impacts of photovoltaic power generation systems on the economy and ecological environment during operation and maintenance.

[0066] In some embodiments, the subdivision factors can be divided into positive factors or negative factors according to the different effects produced. Positive factors can represent factors that can produce favorable or expected development trends when their values ​​increase. The growth of positive factors can be associated with improving efficiency, improving the environment or increasing revenue, indicating that the ecological environment has been better protected or economic benefits have increased. Negative factors can represent factors that usually produce adverse or unexpected effects when their values ​​increase. The growth of negative factors can be related to increased costs, environmental degradation or decreased efficiency. Among them, positive factors can include: artificial soil crust coverage, sand fixation measures efficiency, surface disturbance area reduction rate, soil moisture content, soil organic matter content, vegetation coverage, photovoltaic module washing water reuse efficiency, photovoltaic module rainwater collection efficiency, living area hardening facilities rainwater collection efficiency, power generation increase income, realizable ecological service value, cash crop value, soil temperature change degree, carbon absorption, and non-realizable ecological service value. Negative factors may include: wind erosion intensity, wind erosion amount, soil loss rate, root mean square error of dust accumulation power loss identification, automatic identification time of dust accumulation loss rate, photovoltaic module cleaning cost, ecological restoration cost, and carbon emissions.

[0067] Specifically, the artificial soil crust coverage can represent the proportion of the artificial soil crust area in the total area of ​​the test area, wherein the test area can represent a geographical area within a preset range where the photovoltaic power generation system is located. The artificial soil crust coverage can be calculated by dividing the artificial soil crust area by the total area of ​​the test area.

[0068] The efficiency of sand fixation measures can be expressed as the ratio of the amount of sand reduced by sand fixation measures to the original amount of sand on the surface. Sand fixation measures can refer to measures such as the installation of photovoltaic panels in photovoltaic power generation systems or the application of degradable plant fiber sand fixation agents. The efficiency of sand fixation measures can be expressed as It is calculated, where F represents the original surface sediment discharge, and F1 represents the surface sediment discharge after the implementation of sand fixation measures.

[0069] Wind erosion intensity can represent the total amount of surface sand transported by wind per unit area over a certain period of time. The wind erosion intensity can be calculated by multiplying the measured sand transport rate by time and then by area.

[0070] The amount of wind erosion can represent the difference between the amount of surface material blown away and the amount of accumulation within a certain period of time. Among them, the amount of wind erosion can be measured by using the insertion method in the area where the photovoltaic power generation system is located. The amount of wind erosion can be calculated by measuring the exposed height during the insertion of the rod minus the initial exposed height.

[0071] The reduction rate of the surface disturbance area can indicate the degree of reduction of the surface disturbance area in the area where the photovoltaic power generation system is located relative to the initial or baseline situation after the photovoltaic power generation system is put into operation, wherein the surface disturbance area can indicate the total area of ​​the area where the original surface features are changed or destroyed due to operations such as excavation, filling, compaction, etc. Specifically, the reduction rate of the surface disturbance area = (initial surface disturbance area - surface disturbance area after the photovoltaic power generation system is put into operation) / initial surface disturbance area.

[0072] The soil moisture content can represent the moisture content of the soil in the area where the photovoltaic power generation system is located. Specifically, the soil moisture content can be calculated by the following formula (1):

[0073] (1)

[0074] in, represents the moisture content of soil, M represents the wet weight of soil sample, and Ms represents the dry weight of soil sample.

[0075] The soil organic matter content can represent the carbon-containing organic matter in the soil of the area where the photovoltaic power generation system is located, which can be used as an important indicator to measure and evaluate soil fertility. Specifically, the measurement of soil organic matter usually involves soil organic carbon, because the main component of organic matter is carbon. Then, organic carbon can be converted into organic matter through empirical coefficients. The soil organic matter content can be calculated by the following formula (2):

[0076] (2)

[0077] Among them, OM represents the soil organic matter content, in g / kg; c represents the concentration of ferrous sulfate standard solution, in mol / L; V0 represents the volume of ferrous sulfate standard solution consumed in the blank test, in ml; V represents the volume of ferrous sulfate standard solution consumed in the sample determination, in ml; 0.003 represents the millimolar mass of 1 / 4 carbon atom, in g; 1.724 represents the coefficient of organic carbon converted into organic matter; 1.10 represents the oxidation correction coefficient; m represents the mass of air-dried soil sample in the area where the photovoltaic power generation system is located, in g; Wdm represents the dry matter content of soil sample; 1000 represents the content of soil organic matter after conversion to per kilogram.

[0078] The soil loss rate can represent the amount of soil loss per unit area and per unit time in the area where the photovoltaic power generation system is located. Specifically, the soil loss rate can be determined according to the Universal Soil Loss Equation (USLE) or the Revised Universal Soil Loss Equation (RUSLE), which combines multiple factors such as rainfall erosivity, land cover, soil erodibility, land slope and erosion control measures to estimate the soil loss rate.

[0079] The vegetation coverage rate can represent the percentage of the vertical projection area of ​​vegetation (including leaves, stems, and branches) on the ground in the area where the photovoltaic power generation system is located to the total area of ​​the photovoltaic power generation system. It quantifies the density of vegetation and reflects the growth trend of vegetation. It is an important parameter for describing the surface vegetation coverage and a basic indicator for indicating ecological environment changes. Specifically, the normalized difference vegetation index can be determined by the following formula (3):

[0080] (3)

[0081] Among them, NDVI represents the normalized difference vegetation index, NIR represents the near-infrared band reflectance, and R represents the red band reflectance. After obtaining the normalized difference vegetation index, the vegetation coverage rate can be calculated by the following formula (4):

[0082] (4)

[0083] in, The NDVI value represents the area with completely bare soil or no vegetation cover. It represents the NDVI value of pixels completely covered by vegetation, that is, the NDVI value of pure vegetation pixels. Generally, the 5% quantile of the NDVI value of the entire image is taken as , the 95% quantile of the NDVI value of the entire image is .

[0084] The PV module washing water reuse efficiency can represent the ratio of the amount of recycled water to the amount of water used for washing the PV modules in the PV power generation system. Specifically, the water volume change can be measured by a flow meter installed on the pipeline, a water meter on the washing device, or a measuring ruler installed in the water collection bucket.

[0085] The rainwater collection efficiency of photovoltaic modules can be expressed as the ratio of the amount of rainwater collected by the photovoltaic panels in the photovoltaic power generation system to the amount of precipitation on the projected area of ​​the photovoltaic panels of the same area. Among them, the precipitation can be measured using a tipping bucket rain gauge.

[0086] The rainwater collection efficiency of hardened living area facilities can be expressed as the ratio of the amount of rainwater collected by hardened living area facilities in the photovoltaic power generation system to the natural precipitation of the same area.

[0087] The root mean square error of dust accumulation power loss identification can represent the root mean square error ratio of the average dust accumulation power loss of photovoltaic modules identified by the dust pollution intelligent identification algorithm to the actual power loss, wherein the dust pollution intelligent identification algorithm can be an algorithm based on image processing, machine learning or deep learning technology, which aims to automatically detect and evaluate the dust accumulation effect caused by sandstorms on photovoltaic modules and its impact on power generation. The root mean square error of dust accumulation power loss identification can be calculated by the following formula (5):

[0088] = (5)

[0089] in, It represents the root mean square error of dust accumulation power loss identification; represents the actual power loss of the i-th photovoltaic module, in kWh; It represents the dust accumulation power loss identified by the algorithm of the i-th PV module, in kWh; n represents the total number of PV modules in the PV power generation system.

[0090] The automatic recognition time of dust accumulation loss rate can represent the time period for the intelligent recognition algorithm of dust pollution to recognize and calculate the power loss rate caused by dust accumulation of photovoltaic components.

[0091] The photovoltaic module cleaning cost may represent the cost required for automatic cleaning of photovoltaic modules in a photovoltaic power generation system, which may be determined based on the number of opened sprinkler heads, duration, water cost, etc.

[0092] The ecological restoration cost can be expressed as the comprehensive cost invested in the area where the photovoltaic power generation system is located, by comprehensively considering the ecological synergy effect of the photovoltaic array and the natural resilience of vegetation, and carrying out artificial assisted vegetation restoration and soil improvement technical activities to achieve the same level of ecological capacity as the area outside the photovoltaic power generation system. The unit can be yuan per mu.

[0093] The power generation improvement rate can be expressed as the benefits of power generation improvement obtained by introducing the photovoltaic verification platform compared with the control group without the introduction within a preset period, where the photovoltaic verification platform is an experimental platform established to test and verify new photovoltaic technologies, components, system configurations or operation and maintenance strategies. The power generation improvement rate can be calculated using the following formula (6):

[0094] (6)

[0095] The monetizable ecological service value can represent the economic income brought by activities such as ecological sightseeing and tourism carried out within the photovoltaic power generation system, and its unit can be yuan / mu.

[0096] The value of cash crops can represent the income from planting various cash crops in the photovoltaic power generation system, and its unit can be yuan / mu. Among them, cash crops can be Chinese medicinal materials, herbs, fruit trees and other cash crops suitable for planting in photovoltaic power generation systems.

[0097] The degree of soil temperature change can be measured by indicators such as the increase in nighttime soil accumulated temperature during the plant growth period, the decrease in surface high temperature, and the increase in surface low temperature during the photovoltaic power generation system's operation.

[0098] Carbon emissions can represent the total amount of carbon dioxide or other greenhouse gases released into the atmosphere in the area where the photovoltaic power generation system is located per unit time.

[0099] The carbon absorption amount can represent the total amount of carbon dioxide or other greenhouse gases absorbed by the soil or vegetation in the area where the photovoltaic power generation system is located per unit time.

[0100] The non-realizable ecological service value can represent the ecosystem service value such as windbreak and sand fixation, water conservation, etc. brought about by the operation of photovoltaic power generation systems. Specifically, the non-realizable ecological service value can be represented by other appropriate ecological data such as the increase in vegetation coverage area before and after the construction of photovoltaic power generation systems, the increase in soil moisture content, or the increase in soil organic matter content.

[0101] Next reference Figure 1 In step S120, based on the importance of the collaborative development evaluation factors, multiple judgment matrices corresponding to the indicator layer and the factor layer are established.

[0102] Among them, the degree of importance can represent the relative contribution of a certain synergistic development evaluation factor to the target (such as improvement of ecological environment, improvement of economic benefits, etc.) compared with other synergistic development factors in the evaluation index system. The judgment matrix can represent a square matrix composed of the degree of importance between two synergistic development evaluation factors.

[0103] Specifically, the relative importance of the evaluation factors of collaborative development at the same level is compared to establish a judgment matrix. For example, the judgment matrix M is composed of composition, Indicates the relative importance between two coordinated development evaluation factors. Exemplarily, the principal component analysis method can be used to obtain the relative importance between the coordinated development evaluation factors based on the total scores of the coordinated development of multiple known photovoltaic power generation systems and the ecological environment in their regions and the sub-scores of all coordinated development evaluation factors. Specifically, multiple groups of scoring data on the coordinated development of multiple photovoltaic power generation systems and the ecological environment in their regions can be collected in advance. These data contain the sub-scores of all coordinated development evaluation factors. The coordinated development evaluation factors include all subdivided factors under environmental effect indicators, process operation indicators, and maintenance management indicators. A correlation coefficient matrix is ​​constructed according to the total score corresponding to each photovoltaic power generation system and the sub-score of the evaluation factor, and then the correlation coefficient matrix is ​​eigendecomposed to obtain eigenvalues ​​and corresponding eigenvectors. The size of the eigenvalue reflects the ability of the corresponding principal component to explain the total score. According to the size of the eigenvalue, the first three principal components whose cumulative contribution rate reaches a specific threshold are selected. The selected eigenvectors (i.e., principal component loads) are used to perform linear transformation on the original data to obtain the score of each observation on each principal component. Based on the eigenvalues ​​of the principal components, the relative importance of each principal component can be calculated, i.e., the proportion of its eigenvalue to the total eigenvalue. Since each principal component is a linear combination of the original evaluation factors, the contribution of each original evaluation factor to the total variation can be calculated in reverse order, which can then be used as the relative importance of the evaluation factor.

[0104] In other embodiments of the present disclosure, based on the total score of the coordinated development of multiple known photovoltaic power generation systems and the ecological environment of the region where they are located and the sub-scores of all coordinated development evaluation factors, the relative importance of the coordinated development evaluation factors can also be obtained through other suitable data analysis methods such as structural equation models and multi-criteria decision analysis.

[0105] refer to Figure 2 As shown in the figure, the evaluation index system is a hierarchical structure. Let the elements in the index layer As a criterion, we can use the corresponding next layer elements, that is, the elements in the factor layer For its corresponding The relative importance of For its corresponding If the importance can be quantified (e.g., currency, weight, etc.), the weight factor can be determined directly; however, for complex situations, For its corresponding The importance of cannot be directly quantified, but can only be qualitatively determined. Therefore, the weight factor can be determined by pairwise comparison. Specifically, the element and For the importance of criterion B, the degree of importance can be assigned according to a scale of 1 to 9. The meaning of the scale of 1 to 9 is listed in Table 1.

[0106] Table 1

[0107]

[0108] For the indicator factor Bi in the indicator layer, according to the comparison of the relative importance of its corresponding subdivision factors, a pairwise comparison judgment matrix can be obtained: .in, Representation elements and The proportional scale of importance relative to Bi. The judgment matrix M has the following properties: , , .

[0109] In some embodiments, based on the importance of the collaborative development evaluation factors, multiple judgment matrices corresponding to the indicator layer and the factor layer are established, specifically including the following steps: based on the importance of the indicator factors, an indicator judgment matrix corresponding to the indicator layer is established; based on the importance of the subdivided factors under each indicator factor, multiple factor judgment matrices corresponding to the factor layer are established.

[0110] Specifically, according to the importance of indicator factors, namely environmental effect indicators, process operation indicators and maintenance management indicators, we can obtain the importance scale table between each indicator factor as shown in Table 2 below. The values ​​in Table 2 are also the importance scales. These values ​​also together constitute the indicator judgment matrix. It can be understood that the arrangement of the elements in the matrix is ​​consistent with the arrangement of the values ​​in Table 2.

[0111] Table 2

[0112]

[0113] The importance of the subdivided factors under the environmental effect index can be expressed by the importance scale table in Table 3.

[0114] Table 3

[0115]

[0116] The importance of the subdivided factors under the process operation index can be expressed by an importance scale table such as Table 4.

[0117] Table 4

[0118]

[0119] The importance of the subdivided factors under the maintenance management index can be expressed by the importance scale table shown in Table 5.

[0120] Table 5

[0121]

[0122] According to the above Table 3, the judgment matrix corresponding to the subdivision factors under the environmental effect index can be obtained, according to the above Table 4, the judgment matrix corresponding to the subdivision factors under the process operation index can be obtained, and according to the above Table 5, the judgment matrix corresponding to the subdivision factors under the maintenance management index can be obtained.

[0123] In step S130, based on the judgment matrix, the weight vectors corresponding to the indicator layer and the factor layer and the maximum eigenvalue corresponding to each judgment matrix are determined.

[0124] Among them, the maximum eigenvalue root can represent the consistency of the judgment matrix and the sum of the importance of the secondary indicators of the entire evaluation system relative to the top-level goals. The weight vector can represent the vector obtained by normalizing the eigenvalue vector corresponding to the maximum eigenvalue root. Specifically, the root method (i.e., geometric mean method) can be used to calculate the maximum eigenvalue root and its weight vector of the indicator layer and factor layer, and the row vectors of the judgment matrix M are geometrically averaged and then normalized. The obtained row vector is the weight vector.

[0125] In some embodiments, based on the judgment matrix, the weight vectors corresponding to the indicator layer and the factor layer and the maximum eigenvalue corresponding to each judgment matrix are determined, specifically including the following steps: the weight vectors corresponding to the indicator layer and the factor layer are determined according to the following formula (7): wherein, represents the weight vector, represents the element in the i-th row and j-th column of the judgment matrix, and n represents the dimension of the judgment matrix.

[0126] (7)

[0127] The maximum eigenvalue corresponding to each judgment matrix is ​​determined according to the following formula (8); where: represents the maximum characteristic root, M represents the judgment matrix, Represents the normalized weight vector.

[0128] (8)

[0129] Exemplarily, the maximum eigenvalues ​​and weight vectors corresponding to the indicator layer and the factor layer can be represented by the following Table 6.

[0130] Table 6

[0131]

[0132] Among them, the first column represents the weight vector corresponding to the indicator layer and its corresponding maximum characteristic root 3.007; the second, third and fourth columns respectively represent the weight vectors and maximum characteristic roots corresponding to the subdivision factors under the environmental effect indicators, the subdivision factors under the process operation indicators and the subdivision factors under the maintenance management indicators.

[0133] In step S140, the judgment matrix is ​​checked for consistency based on the maximum eigenvalue and the weight vector, and the weight value corresponding to the collaborative development evaluation factor is determined.

[0134] Among them, consistency test is an important step in the Analytic Hierarchy Process (AHP) to evaluate the quality of the judgment matrix, which is used to verify whether the judgment matrix is ​​consistent or reasonable in judging the relative importance of different evaluation index factors. In addition, in the construction of the judgment matrix, it is not required that the judgment be transitive and consistent, that is, it is not required that This is strictly true, which is determined by the complexity of objective things and the subjective diversity of human beings.

[0135] In one embodiment, a consistency check is performed on the judgment matrix based on the maximum eigenvalue and the weight vector, and the weight value corresponding to the collaborative development evaluation factor is determined, which specifically includes the following steps: determining the consistency index corresponding to each judgment matrix based on the maximum eigenvalue; determining the consistency ratio corresponding to each judgment matrix based on the consistency index and the average random consistency index, when the consistency ratio is less than a preset ratio threshold, the consistency of the corresponding judgment matrix meets the requirement; performing an overall consistency check on the evaluation index system based on the total ranking weight of the factor layer to the indicator layer; determining the weight value corresponding to the collaborative development evaluation factor according to the following formula (9):

[0136] (9)

[0137] in, represents the weight value corresponding to the collaborative development evaluation factor, i represents the number of collaborative development evaluation factors, q represents the dimension of the judgment matrix corresponding to the indicator layer, represents the weight vector corresponding to the indicator layer, Represents the weight vector corresponding to the factor layer.

[0138] Specifically, the consistency index corresponding to each judgment matrix can be determined by the following formula (10):

[0139] (10)

[0140] in, Represents the consistency index, represents the maximum eigenvalue corresponding to the judgment matrix, and n represents the dimension of the judgment matrix.

[0141] The average random consistency index can represent the average value of the consistency index corresponding to each order judgment matrix obtained after multiple calculations. Table 7 shows the average random consistency index obtained by calculating 1000 times the positive reciprocal matrix of 1 to 20 orders.

[0142] Table 7

[0143]

[0144] Then, the consistency ratio corresponding to each judgment matrix can be determined by the following formula (11):

[0145] (11)

[0146] in, represents the consistency ratio corresponding to the judgment matrix, Represents the consistency index, represents the average random consistency index. For example, the preset ratio threshold is 0.1. When <0.1, it is considered that the consistency of the judgment matrix meets the requirements; when When ≥0.1, the judgment matrix should be appropriately modified, that is, the importance scale between the evaluation index factors should be adjusted.

[0147] After verification and calculation, the judgment matrices corresponding to the index layer and factor layer constructed above all meet the consistency, that is, <0.1, as shown in Table 8 below.

[0148] Table 8

[0149]

[0150] Next, based on the total ranking weight of the factor layer to the indicator layer, the overall consistency test of the evaluation index system is performed. Specifically, what is obtained above is the weight vector of a group of elements to an element in the upper layer. Ultimately, the ranking weight of each element, especially each element in the factor layer, for the target is obtained, that is, the total ranking weight, so as to select the solution. The total ranking weight must synthesize the weights under the single criterion from top to bottom, and perform a total judgment consistency test layer by layer.

[0151] set up Indicates the k-1th layer The ranking weight vector of elements relative to the overall target is expressed as Indicates the kth layer The sorting weight vector of the jth element on the k-1th layer, where the weights of the elements not dominated by the jth element are zero. yes The matrix of order k represents the order of the elements on the k-1th layer to the elements on the k-1th layer. Then the total order of the elements on the kth layer to the target is for or ( , which can also be expressed as ,in, It is the total sorting vector of the elements on the second layer, that is, the index layer, and it is also the sorting vector under a single criterion.

[0152] In addition, consistency checks are performed layer by layer from top to bottom. If the consistency index of element j on the k-1 layer is obtained, , average random consistency index And the consistency ratio (where j = 1, 2, ..., nk-1), the comprehensive index of the k-th layer can be obtained: as well as .based on and The total consistency ratio can be determined by the ratio of .when When <0.1, it is considered that all judgments of the evaluation index system at the k-level have overall satisfactory consistency. Exemplarily, the calculated total weight is shown in Table 9 below. ,Therefore, the evaluation index system meets the requirements of overall consistency inspection.

[0153] Furthermore, the weight value corresponding to each collaborative development evaluation factor is determined according to the following formula (12):

[0154] (12)

[0155] in, represents the weight value corresponding to the collaborative development evaluation factor, i represents the number of collaborative development evaluation factors, q represents the dimension of the judgment matrix corresponding to the indicator layer, represents the weight vector corresponding to the indicator layer, Represents the weight vector corresponding to the factor layer. The weight value corresponding to each collaborative development evaluation factor is as shown in Table 9 below. The column where the is located is shown.

[0156] Table 9

[0157]

[0158] In step S150, a score is calculated based on a preset reference value, actual value of the evaluation factor and weight value, and the sum of the scores corresponding to all coordinated development evaluation factors is used as the score of the coordinated development of the photovoltaic power generation system and the ecological environment.

[0159] The reference value may represent the reference benchmark for each coordinated development evaluation factor when calculating the score, and the actual value of the evaluation factor may represent the data obtained by actual measurement or calculation of the target photovoltaic system, which can reflect the coordinated development of the target photovoltaic power generation system and the ecological environment. The weight value may represent the weight data corresponding to each coordinated development evaluation factor when calculating the score. For example, the preset reference value and weight value may be represented by the following Table 10.

[0160] Table 10

[0161]

[0162] In some embodiments, a score calculation is performed based on a preset reference value, actual value of the evaluation factor and a weight value, and the sum of the scores corresponding to all the coordinated development evaluation factors is used as the score of the coordinated development of the photovoltaic power generation system and the ecological environment. Specifically, the following steps are included: obtaining the actual values ​​of multiple evaluation factors corresponding to the target photovoltaic power generation system; determining the score corresponding to each coordinated development evaluation factor based on the ratio of the actual value of each evaluation factor to its corresponding reference value and the product of the corresponding weight value; and summing the scores corresponding to all the coordinated development evaluation factors to obtain the score of the coordinated development of the target photovoltaic power generation system.

[0163] Specifically, the actual values ​​of multiple evaluation factors corresponding to the target photovoltaic power generation system can be obtained through manual measurement, detector acquisition and other methods, and then the score corresponding to each collaborative development evaluation factor is determined based on the following standards:

[0164] When the actual value of the evaluation factor is greater than or equal to the evaluation reference value, the score corresponding to the coordinated development evaluation factor is the full score, which is also the weight value;

[0165] When the actual value of the evaluation factor is less than the evaluation reference value, if the collaborative development evaluation factor is a positive factor, that is, the larger the value, the better the collaborative development, then the score of the collaborative development evaluation factor = (actual value of the evaluation factor ÷ reference value) × weight value; if the collaborative development evaluation factor is a negative factor, that is, the smaller the value, the better the collaborative development, then the score of the collaborative development evaluation factor = (reference value ÷ actual value of the evaluation factor) × weight value.

[0166] Finally, the scores corresponding to all the coordinated development evaluation factors are summed up to obtain the score of the coordinated development of the target photovoltaic power generation system. In addition, for a specific photovoltaic power generation system and the ecological environment system in the region, a coordinated design scheme with the highest score can be found by continuously optimizing the design parameters, thereby achieving the purpose of optimizing the coordination between the photovoltaic power generation system and the ecological environment. For different photovoltaic power generation systems, different schemes will correspond to a specific score. By comparing the size of the score, the level of ecological coordinated development of the photovoltaic power generation system can be quantitatively evaluated.

[0167] Figure 3 The following schematically shows a flow chart of another evaluation method for the coordinated development of photovoltaic power generation systems and the ecological environment.

[0168] In step S301, an evaluation index system is constructed. Specifically, based on the impact relationship between the target photovoltaic power generation system and the ecological environment in the region where it is located, multiple coordinated development evaluation factors are determined; wherein the coordinated development evaluation factors include index factors and subdivided factors under each index factor, and the evaluation index system is constructed based on the index factors and subdivided factors.

[0169] In step S302, a judgment matrix is ​​established. Specifically, based on the importance of the coordinated development evaluation factors, multiple judgment matrices corresponding to the indicator layer and the factor layer are established.

[0170] In step S303, based on the judgment matrix, the weight vectors corresponding to the indicator layer and the factor layer and the maximum eigenvalue corresponding to each judgment matrix are determined.

[0171] In step S304, the consistency check of the judgment matrix is ​​performed. Specifically, the consistency index corresponding to each judgment matrix is ​​determined based on the maximum characteristic root; the consistency ratio corresponding to each judgment matrix is ​​determined according to the consistency index and the average random consistency index. When the consistency ratio is less than 0.1, the consistency of the corresponding judgment matrix meets the requirements, and step S305 is performed. When the consistency ratio is not less than 0.1, the consistency of the corresponding judgment matrix does not meet the requirements, and jump to step S306.

[0172] In step S305, based on the total ranking weight of the factor layer to the indicator layer, the overall consistency of the evaluation index system is checked. When the overall consistency ratio is less than 0.1, the overall consistency of the evaluation index system meets the requirements, and step S307 is performed. When the overall consistency ratio is not less than 0.1, the overall consistency of the evaluation index system does not meet the requirements, and jump to step S306.

[0173] In step S306, the judgment matrix is ​​appropriately modified, and then the process jumps to step S303.

[0174] In step S307, a reference value corresponding to each collaborative development evaluation factor is set.

[0175] In step S308, it is determined whether the actual value of the evaluation factor is greater than the reference value. When the actual value of the evaluation factor is greater than the reference value, the process jumps to step S309; ​​when the actual value of the evaluation factor is not greater than the reference value, the process jumps to step S310.

[0176] In step S309, the score for this item is full marks, that is, the score corresponding to the collaborative development evaluation factor, that is, the weight value, is full marks.

[0177] In step S310, it is determined whether the indicator type, that is, whether the collaborative development evaluation factor is a positive factor. If it is a positive factor, it jumps to step S311; if it is a negative factor, it jumps to step S312.

[0178] In step S311, the score of the collaborative development evaluation factor = (actual value of the evaluation factor ÷ reference value) × weight value.

[0179] In step S312, the score of the collaborative development evaluation factor = (reference value ÷ actual value of the evaluation factor) × weight value.

[0180] In step S313, the scores corresponding to all the coordinated development evaluation factors are summed to obtain the score of the coordinated development situation corresponding to the target photovoltaic power generation system. At the same time, the scores are compared to determine the coordinated design scheme with the highest score.

[0181] In step S314, the coordinated development situation of the target photovoltaic power generation system and the ecological environment is optimized or evaluated according to the score corresponding to each coordinated development evaluation factor and the score of the coordinated development situation corresponding to the target photovoltaic power generation system.

[0182] The evaluation method for evaluating the coordinated development of photovoltaic power generation systems and the ecological environment in the above example embodiments, on the one hand, by establishing a variety of coordinated development evaluation factors, can comprehensively analyze the coordinated development of photovoltaic power generation systems and the ecological environment from multiple aspects such as environmental effects, process operation and maintenance management; in addition, by using the judgment matrix and weight vector method, the qualitative evaluation is converted into a quantitative calculation, which ensures the objectivity and comparability of the evaluation process, and can accurately reflect the relative size of the contribution of each evaluation factor to the overall coordinated development, so that the evaluation result is more accurate; moreover, through consistency testing, it can effectively avoid unreasonable weight allocation caused by subjective judgment bias, and ensure the internal logical consistency of the evaluation system and the reliability of the evaluation results; on the other hand, the evaluation index system has a certain flexibility, and the evaluation factors and indicators, as well as the weights between them, can be adjusted according to actual conditions to adapt to the specific requirements of the coordinated development of photovoltaic power generation systems and the ecological environment in different regions and at different development stages.

[0183] It should be noted that, although the steps of the method in the present disclosure are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps, etc.

[0184] Next, in the embodiment of the present disclosure, a device for evaluating the coordinated development of a photovoltaic power generation system and an ecological environment is provided. Figure 4 As shown in , the evaluation device 400 for the coordinated development of photovoltaic power generation system and ecological environment can be composed of an evaluation system construction module 401, a judgment matrix establishment module 402, a eigenvector determination module 403, a weight value determination module 404 and a score determination module 405, wherein: the evaluation system construction module 401 can be used to construct an evaluation index system based on multiple coordinated development evaluation factors, and the evaluation index system includes an indicator layer and a factor layer; the judgment matrix establishment module 402 can be used to establish multiple judgment matrices corresponding to the indicator layer and the factor layer based on the importance of the coordinated development evaluation factors; the eigenvector determination module 403 can be used to determine the maximum eigenroot and eigenvector corresponding to the indicator layer and the factor layer based on the judgment matrix; the weight value determination module 404 can be used to perform consistency check on the judgment matrix based on the maximum eigenroot and eigenvector, and determine the weight value corresponding to the coordinated development evaluation factor; the score determination module 405 can be used to perform score calculation based on the preset reference value, the actual value of the evaluation factor and the weight value, and use the sum of the scores corresponding to all the coordinated development evaluation factors as the score of the coordinated development of the target photovoltaic power generation system and the ecological environment.

[0185] It should be noted that the specific details of each part of the above-mentioned evaluation device for the coordinated development of the photovoltaic power generation system and the ecological environment have been described in detail in the implementation method of the evaluation method for the coordinated development of the photovoltaic power generation system and the ecological environment. The undisclosed details can be found in the implementation method of the method part, and will not be repeated here.

[0186] In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above-mentioned evaluation method for the coordinated development of the photovoltaic power generation system and the ecological environment is also provided.

[0187] Those skilled in the art will appreciate that various aspects of the present disclosure may be implemented as systems, methods or program products. Therefore, various aspects of the present disclosure may be specifically implemented in the following forms, namely: complete hardware embodiments, complete software embodiments (including firmware, microcode, etc.), or embodiments combining hardware and software aspects, which may be collectively referred to herein as "circuits", "modules" or "systems".

[0188] Refer to the following Figure 5 hereinafter describes an electronic device 500 according to such an embodiment of the present disclosure. Figure 5 The electronic device 500 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0189] like Figure 5 As shown, the electronic device 500 is in the form of a general computing device. The components of the electronic device 500 may include but are not limited to: at least one processing unit 510, at least one storage unit 520, a bus 530 connecting different system components (including the storage unit 520 and the processing unit 510), and a display unit 540.

[0190] The storage unit stores program codes, which can be executed by the processing unit 510, so that the processing unit 510 performs the steps according to various exemplary embodiments of the present disclosure described in the above “Exemplary Method” section of this specification. For example, the processing unit 510 can perform the following steps: Figure 1 In step S110 shown in the figure, an evaluation index system is constructed based on multiple coordinated development evaluation factors, and the evaluation index system includes an index layer and a factor layer; in step S120, multiple judgment matrices corresponding to the index layer and the factor layer are established based on the importance of the coordinated development evaluation factors; in step S130, the maximum eigenvalues ​​and eigenvectors corresponding to the index layer and the factor layer are determined based on the judgment matrix; in step S140, the judgment matrix is ​​checked for consistency based on the maximum eigenvalues ​​and the eigenvectors, and the weight values ​​corresponding to the coordinated development evaluation factors are determined; in step S150, a score is calculated based on the preset reference value, the actual value of the evaluation factor and the weight value, and the sum of the scores corresponding to all the coordinated development evaluation factors is used as the score of the coordinated development of the target photovoltaic power generation system and the ecological environment.

[0191] The storage unit 520 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 521 and / or a cache memory unit 522 , and may further include a read-only memory unit (ROM) 523 .

[0192] The storage unit 520 may also include a program / utility 524 having a set (at least one) of program modules 525, such program modules 525 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0193] Bus 530 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0194] The electronic device 500 may also communicate with one or more external devices 570 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 500, and / or communicate with any device that enables the electronic device 500 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed through an input / output (I / O) interface 550. In addition, the electronic device 500 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) through a network adapter 560. As shown, the network adapter 560 communicates with other modules of the electronic device 500 through a bus 530. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0195] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiment of the present disclosure.

[0196] In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method of the present specification is stored. In some possible embodiments, various aspects of the present disclosure can also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary embodiments of the present disclosure described in the above "Exemplary Method" section of the present specification.

[0197] refer to Figure 6 As shown, a program product 600 for implementing the evaluation method for the coordinated development of the photovoltaic power generation system and the ecological environment according to an embodiment of the present disclosure is described, which can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto. In this document, a readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, an apparatus, or a device.

[0198] The program product may adopt any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, a system, device or component of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0199] Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, in which readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal media may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0200] The program code contained on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, electromagnetic waves, etc., or any suitable combination of the foregoing.

[0201] Program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0202] In addition, the above-mentioned figures are only schematic illustrations of the processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

[0203] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the embodiment of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiment of the present disclosure.

[0204] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not disclosed in the present disclosure. The specification and examples are to be considered as exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

[0205] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for evaluating the coordinated development of photovoltaic power generation systems and the ecological environment, characterized in that: include: Based on the impact relationship between the target photovoltaic power generation system and the ecological environment in the region where it is located, a plurality of coordinated development evaluation factors are determined; wherein the coordinated development evaluation factors include index factors and subdivided factors under each of the index factors; The index factors include environmental effect index, process operation index and maintenance management index; the subdivision factors under the environmental effect index include: artificial soil crust coverage, sand fixation measures efficiency, wind erosion intensity, wind erosion amount, surface disturbance area reduction rate, soil moisture content, soil organic matter content, soil loss rate and vegetation coverage rate; the subdivision factors under the process operation index include: photovoltaic module cleaning water reuse efficiency, photovoltaic module rainwater collection efficiency, living area hardening facility rainwater collection efficiency, dust accumulation power loss identification root mean square error and dust accumulation loss rate automatic identification time; the subdivision factors under the maintenance management index include: photovoltaic module cleaning cost, power generation increase income, soil temperature change degree, carbon emissions, carbon absorption; according to: Determine the soil organic matter content, wherein OM represents the soil organic matter content, c represents the concentration of the ferrous sulfate standard solution, V0 represents the volume of the ferrous sulfate standard solution consumed in the blank test, V represents the volume of the ferrous sulfate standard solution consumed in the sample determination, 0.003 represents the millimolar mass of 1 / 4 carbon atoms, 1.724 represents the coefficient of organic carbon converted into organic matter, 1.10 represents the oxidation correction coefficient, m represents the mass of the air-dried soil sample in the area where the photovoltaic power generation system is located, and Wdm represents the dry matter content of the soil sample; according to: = The root mean square error of the dust accumulation power loss identification is determined, where represents the root mean square error of dust accumulation power loss identification, represents the actual power loss of the i-th photovoltaic module, represents the dust accumulation power loss identified by the algorithm for the i-th PV module, n Represents the total number of photovoltaic modules in the photovoltaic power generation system; Constructing an evaluation index system based on multiple collaborative development evaluation factors, wherein the evaluation index system includes an index layer and a factor layer; Based on the importance of the coordinated development evaluation factors, a plurality of judgment matrices corresponding to the indicator layer and the factor layer are established; Based on the judgment matrix, determine the weight vectors corresponding to the indicator layer and the factor layer and the maximum eigenvalue corresponding to each judgment matrix; Based on the total ranking weight of the factor layer to the indicator layer, the overall consistency test of the evaluation indicator system is performed, wherein when the total consistency ratio is less than the preset threshold, the overall consistency of the evaluation indicator system meets the requirements, and the total consistency ratio is based on k Layer consistency indicators as well as k Average random consistency index of the layer The ratio of is determined, ,and Indicates k -1st floor A ranking weight vector of elements relative to the overall target; according to Determine the weight value corresponding to the collaborative development evaluation factor; wherein, represents the weight value corresponding to the collaborative development evaluation factor, i represents the number of the synergistic development evaluation factors, q represents the dimension of the judgment matrix corresponding to the indicator layer, represents the weight vector corresponding to the indicator layer, Represents the weight vector corresponding to the factor layer; The score is calculated based on the preset reference value, the actual value of the evaluation factor and the weight value, and the sum of the scores corresponding to all the coordinated development evaluation factors is used as the score of the coordinated development of the photovoltaic power generation system and the ecological environment.

2. The evaluation method for the coordinated development of photovoltaic power generation system and ecological environment according to claim 1 is characterized in that: Based on the importance of the coordinated development evaluation factors, a plurality of judgment matrices corresponding to the indicator layer and the factor layer are established, including: Based on the importance of the indicator factors, an indicator judgment matrix corresponding to the indicator layer is established; Based on the importance of the subdivided factors under each of the indicator factors, a plurality of factor judgment matrices corresponding to the factor layer are established.

3. The evaluation method for the coordinated development of photovoltaic power generation system and ecological environment according to claim 1 is characterized in that: The step of determining the weight vectors corresponding to the indicator layer and the factor layer and the maximum eigenvalue corresponding to each judgment matrix based on the judgment matrix includes: according to: ； Determine the weight vectors corresponding to the indicator layer and the factor layer; wherein, represents the weight vector, Represents the judgment matrix i Line j Elements on the column, n Represents the dimension of the judgment matrix; according to: ； Determine the maximum eigenvalue corresponding to each judgment matrix; wherein, represents the maximum characteristic root, M represents the judgment matrix, Represents the normalized weight vector.

4. The evaluation method for the coordinated development of photovoltaic power generation systems and ecological environment according to claim 1 is characterized in that: The scoring calculation is performed based on the preset reference value, the actual value of the evaluation factor and the weight value, and the sum of the scores corresponding to all the coordinated development evaluation factors is used as the score of the coordinated development of the photovoltaic power generation system and the ecological environment, including: Acquire actual values ​​of a plurality of evaluation factors corresponding to the target photovoltaic power generation system; Determine the score corresponding to each of the collaborative development evaluation factors based on the ratio of the actual value of each evaluation factor to the corresponding reference value and the product of the corresponding weight value; The scores corresponding to all the coordinated development evaluation factors are summed up to obtain the score of the coordinated development situation corresponding to the target photovoltaic power generation system.

5. An evaluation device for the coordinated development of a photovoltaic power generation system and an ecological environment, characterized in that: include: An evaluation system construction module is used to determine a plurality of coordinated development evaluation factors based on the impact relationship between the target photovoltaic power generation system and the ecological environment in the region where it is located; wherein the coordinated development evaluation factors include index factors and subdivided factors under each of the index factors; The index factors include environmental effect index, process operation index and maintenance management index; the subdivision factors under the environmental effect index include: artificial soil crust coverage, sand fixation measures efficiency, wind erosion intensity, wind erosion amount, surface disturbance area reduction rate, soil moisture content, soil organic matter content, soil loss rate and vegetation coverage rate; the subdivision factors under the process operation index include: photovoltaic module cleaning water reuse efficiency, photovoltaic module rainwater collection efficiency, living area hardening facility rainwater collection efficiency, dust accumulation power loss identification root mean square error and dust accumulation loss rate automatic identification time; the subdivision factors under the maintenance management index include: photovoltaic module cleaning cost, power generation increase income, soil temperature change degree, carbon emissions, carbon absorption; according to: Determine the soil organic matter content, wherein OM represents the soil organic matter content, c represents the concentration of the ferrous sulfate standard solution, V0 represents the volume of the ferrous sulfate standard solution consumed in the blank test, V represents the volume of the ferrous sulfate standard solution consumed in the sample determination, 0.003 represents the millimolar mass of 1 / 4 carbon atoms, 1.724 represents the coefficient of organic carbon converted into organic matter, 1.10 represents the oxidation correction coefficient, m represents the mass of the air-dried soil sample in the area where the photovoltaic power generation system is located, and Wdm represents the dry matter content of the soil sample; according to: = The root mean square error of the dust accumulation power loss identification is determined, where represents the root mean square error of dust accumulation power loss identification, represents the actual power loss of the i-th photovoltaic module, represents the dust accumulation power loss identified by the algorithm for the i-th PV module, n Represents the total number of photovoltaic modules in the photovoltaic power generation system; Constructing an evaluation index system based on multiple collaborative development evaluation factors, wherein the evaluation index system includes an index layer and a factor layer; A judgment matrix establishment module, used to establish a plurality of judgment matrices corresponding to the indicator layer and the factor layer based on the importance of the collaborative development evaluation factors; A feature vector determination module, used to determine the maximum feature root and weight vector corresponding to the indicator layer and the factor layer based on the judgment matrix; The weight value determination module is used to perform an overall consistency test on the evaluation index system based on the total ranking weight of the factor layer to the index layer, wherein when the total consistency ratio is less than a preset threshold, the overall consistency of the evaluation index system meets the requirements, and the total consistency ratio is based on k Layer consistency indicators as well as k Average random consistency index of the layer The ratio of is determined, ,and Indicates k -1st floor A ranking weight vector of elements relative to the overall target; according to Determine the weight value corresponding to the collaborative development evaluation factor; wherein, represents the weight value corresponding to the collaborative development evaluation factor, i represents the number of the synergistic development evaluation factors, q represents the dimension of the judgment matrix corresponding to the indicator layer, represents the weight vector corresponding to the indicator layer, Represents the weight vector corresponding to the factor layer; The scoring determination module is used to calculate the score based on the preset reference value, the actual value of the evaluation factor and the weight value, and take the sum of the scores corresponding to all the coordinated development evaluation factors as the score of the coordinated development of the photovoltaic power generation system and the ecological environment.

6. An electronic device, characterized in that: include: processor; as well as A memory, configured to store executable instructions of the processor; Wherein, the processor is configured to execute the evaluation method for the coordinated development of the photovoltaic power generation system and the ecological environment as described in any one of claims 1 to 4 by executing the executable instructions.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for evaluating the coordinated development of a photovoltaic power generation system and an ecological environment as described in any one of claims 1 to 4 is implemented.

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