A method and system for determining the adaptability level of distributed photovoltaic development

Abstract

The present invention provides a method for determining the development adaptability level of distributed photovoltaics, which includes determining the power supply grids divided by the power grid, obtaining the proportion of available roof area of various types of buildings in each power supply grid and the construction capacity per unit of available roof area, and calculating the development potential value of distributed rooftop photovoltaics for each power supply grid; obtaining the additional distributed photovoltaic access capacity that can be added to each substation in the power grid, and based on the preset supply area range of each substation, determining the power supply grids included in each supply area range, and further combining the development potential values of distributed rooftop photovoltaics for each power supply grid to calculate the carrying capacity value of each power supply grid; comparing the development potential values of distributed rooftop photovoltaics for each power supply grid with their corresponding carrying capacity values, and determining the development adaptability level of distributed photovoltaics for each power supply grid according to the comparison results. Implementing the present invention can intuitively understand the strength of the adaptability of the power grid to the development potential of distributed rooftop photovoltaics.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid planning, and particularly to a method and system for determining the adaptability level of distributed photovoltaic development. Background Art

[0002] Distributed photovoltaic power generation specifically refers to photovoltaic power generation facilities constructed near user sites, with an operation mode of self-consumption by users on the user side, excess electricity being fed into the grid, and characterized by balancing regulation in the distribution system. Distributed photovoltaic power generation follows the principles of adapting to local conditions, being clean and efficient, having a decentralized layout, and being utilized nearby, making full use of local solar energy resources to replace and reduce fossil energy consumption. Currently, the most widely applied distributed photovoltaic power generation system is the photovoltaic power generation project built on the rooftops of urban buildings.

[0003] However, in the prior art, there is a lack of means for comprehensively evaluating the development potential of rooftop photovoltaics and the new energy access capacity of the current power grid, and it is impossible to integrate the complex data of the two and set standards and rules for processing, resulting in the inability to establish a connection to judge the adaptability level between the two.

[0004] Therefore, it is necessary to propose a method for determining the adaptability level of distributed photovoltaic development, which can intuitively understand the strength of the adaptability of the power grid to the development potential of distributed rooftop photovoltaics. Summary of the Invention

[0005] The technical problem to be solved by the embodiments of the present invention is to provide a method and system for determining the adaptability level of distributed photovoltaic development, which can intuitively understand the strength of the adaptability of the power grid to the development potential of distributed rooftop photovoltaics.

[0006] To solve the above technical problem, the embodiments of the present invention provide a method for determining the adaptability level of distributed photovoltaic development, and the method includes the following steps:

[0007] Step S1: Determine the power supply grids divided by the power grid for accessing distributed rooftop photovoltaic power generation systems, and obtain the proportion of available rooftop area of various types of buildings and the construction capacity per unit of available rooftop area in each power supply grid, so as to calculate the development potential values of distributed rooftop photovoltaics in each power supply grid;

[0008] Step S2: Obtain the additional distributed photovoltaic access capacity that can be added to each substation in the power grid, and based on the preset supply area range of each substation, determine the power supply grids included in each supply area range, and further calculate the bearing capacity values of each power supply grid according to the additional distributed photovoltaic access capacity that can be added to each substation and the power supply grids included in their respective supply area ranges, in combination with the development potential values of distributed rooftop photovoltaics in each power supply grid;

[0009] Step S3: After assigning corresponding grades to the distributed rooftop PV development potential values and their respective carrying capacity values of each power supply grid, compare them, and determine the distributed PV development adaptability grades of each power supply grid according to the comparison results;

[0010] Among them, the distributed rooftop PV development potential values of each power supply grid are obtained by multiplying the available rooftop area ratio of various types of buildings by the construction capacity per unit available rooftop area in the same power supply grid and then accumulating the obtained products;

[0011] Among them, through the formula Calculate the carrying capacity value S of each power supply grid m ; Among them, is the additional distributed PV access capacity that can be added to the j-th substation; M i is the distributed rooftop PV development potential value of the i-th power supply grid included in the supply area of the j-th substation; n is the total number of power supply grids included in the supply area of the j-th substation; m is the total number of all power supply grids in the power grid, and m≥n.

[0012] Among them, the available rooftop area ratio of various types of buildings and the construction capacity per unit available rooftop area are both obtained by estimating parameter values based on the pre-set PV module types, installation methods, rooftop types, and available rooftop ratios.

[0013] Among them, the additional distributed PV access capacity that can be added to each substation is determined by the existing PV output coefficient, network supply load, capacity of each substation, and reverse load rate of each substation in the power grid.

[0014] Among them, the additional distributed PV access capacity that can be added to each substation is the minimum of the 24 quotients obtained by dividing the additional distributed PV output of each hour in 24 hours of each substation by the PV output coefficient; among them,

[0015] The additional distributed PV output of each hour in each substation is the sum of the network supply load of each hour in each substation and its corresponding reverse load limit; the reverse load limit of each substation is determined by its corresponding reverse load rate.

[0016] Among them, the specific steps of Step S3 include:

[0017] Sort the distributed rooftop PV development potential values of each power supply grid from small to large, assign corresponding grades to the sorted distributed rooftop PV development potential values of each power supply grid, sort the carrying capacity values of each power supply grid from small to large, and assign corresponding grades to the sorted carrying capacity values of each power supply grid;

[0018] If the level assigned to the distributed rooftop PV development potential value of a power supply grid matches the level assigned to its corresponding carrying capacity value, then any one of the two levels assigned to the power supply grid is output as the distributed PV development adaptability level of the power supply grid;

[0019] If the level assigned to the distributed rooftop PV development potential value of a power supply grid does not match the level assigned to its corresponding carrying capacity value, then the smaller one of the two levels assigned to the power supply grid is output as the distributed PV development adaptability level of the power supply grid.

[0020] Among them, the method further includes:

[0021] Sort the distributed PV development adaptability levels of all power supply grids from smallest to largest, and on a preset electronic map, display the sorted distributed PV development adaptability levels of all power supply grids using different colors.

[0022] An embodiment of the present invention also provides a system for determining the distributed PV development adaptability level, including;

[0023] A first calculation unit, configured to determine the power supply grids divided by the power grid for accessing the distributed rooftop PV power generation system, and obtain the proportion of the available rooftop area of various types of buildings and the construction capacity per unit available rooftop area in each power supply grid, so as to calculate the distributed rooftop PV development potential values of each power supply grid;

[0024] A second calculation unit, configured to obtain the additional distributed PV access capacity that can be added to each substation in the power grid, and based on the preset supply area range of each substation, determine the power supply grids included in each supply area range, and further combine the additional distributed PV access capacity of each substation and the power supply grids included in their respective supply area ranges, and combine the distributed rooftop PV development potential values of each power supply grid to calculate the carrying capacity values of each power supply grid;

[0025] A result output unit, configured to compare the distributed rooftop PV development potential values of each power supply grid with their corresponding carrying capacity values after assigning corresponding levels, and determine the distributed PV development adaptability levels of each power supply grid according to the comparison results;

[0026] Among them, the distributed rooftop PV development potential values of each power supply grid are all obtained by multiplying the proportion of the available rooftop area of various types of buildings in the same power supply grid by their corresponding construction capacity per unit available rooftop area and then accumulating the obtained products;

[0027] Among them, through the formula Calculate the carrying capacity value S of each power supply grid m ; where is the additional distributed PV access capacity that can be added to the j-th substation; M i is the distributed rooftop PV development potential value of the i-th power supply grid within the service area of the j-th substation; n is the total number of power supply grids within the service area of the j-th substation; m is the total number of all power supply grids in the power grid, and m ≥ n.

[0028] Implementing the embodiments of the present invention has the following beneficial effects:

[0029] 1. Based on the power supply grids divided by the power grid for accessing distributed rooftop PV power generation systems, the present invention compares the distributed rooftop PV development potential values of each power supply grid with their corresponding carrying capacity values to determine the distributed PV development adaptability levels of each power supply grid, so as to intuitively understand the strength of the adaptability of the power grid to the distributed rooftop PV development potential.

[0030] 2. On the preset electronic map, the present invention displays the distributed PV development adaptability levels of all sorted power supply grids by using different colors, which not only shows the analysis results of each power supply grid but also highlights the regular connections between different power supply grids in the pilot area. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, obtaining other drawings without creative efforts still belongs to the scope of the present invention.

[0032] Figure 1 is a flowchart of a method for determining the distributed PV development adaptability level provided by an embodiment of the present invention;

[0033] Figure 2 is a distribution diagram of the distributed rooftop PV development potential of each power supply grid in the application scenario of a method for determining the distributed PV development adaptability level provided by an embodiment of the present invention;

[0034] Figure 3 is a distribution diagram of the carrying capacity of each power supply grid in the application scenario of a method for determining the distributed PV development adaptability level provided by an embodiment of the present invention;

[0035] Figure 4 is a distribution diagram of the distributed PV development adaptability level of each power supply grid in the application scenario of a method for determining the distributed PV development adaptability level provided by an embodiment of the present invention;

[0036] Figure 5 The figure is a schematic structural diagram of a system for determining the development adaptability level of distributed photovoltaics provided by an embodiment of the present invention. Detailed implementation manners

[0037] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.

[0038] As Figure 1 shown, in an embodiment of the present invention, a method for determining the development adaptability level of distributed photovoltaics is proposed. The method includes the following steps:

[0039] Step S1: Determine the power supply grids divided by the power grid for accessing distributed rooftop photovoltaic power generation systems, and obtain the proportion of available rooftop areas of various types of buildings and the construction capacity per unit of available rooftop area in each power supply grid, so as to calculate the development potential values of distributed rooftop photovoltaics for each power supply grid;

[0040] Step S2: Obtain the additional distributed photovoltaic access capacity that can be added to each substation in the power grid, and based on the preset supply area ranges of each substation, determine the power supply grids included in each supply area range. And according to the additional distributed photovoltaic access capacity that can be added to each substation and the power supply grids included in their respective supply area ranges, further combined with the development potential values of distributed rooftop photovoltaics for each power supply grid, calculate the carrying capacity values of each power supply grid;

[0041] Step S3: After assigning corresponding levels to the development potential values of distributed rooftop photovoltaics for each power supply grid and their respective corresponding carrying capacity values, compare them, and determine the development adaptability levels of distributed photovoltaics for each power supply grid according to the comparison results.

[0042] Specifically, in step S1, on a computer device, use a preset electronic map to determine the power supply grids divided by the power grid for accessing distributed rooftop photovoltaic power generation systems. Further, through the vector map and satellite map of the "Energy Big Data Center", the building types, locations, rooftop ranges, and rooftop auxiliary facilities in each power supply grid can be clearly seen, and the rooftop ranges with development conditions can be clearly and accurately drawn and specific parameters can be set.

[0043] Then, estimate the parameter values through the main influencing factors such as the preset photovoltaic module types, installation methods, rooftop types, and available rooftop ratios to obtain the proportion of available rooftop areas of various types of buildings and the construction capacity per unit of available rooftop area.

[0044] Finally, in the same power supply grid, multiply the proportion of available rooftop areas of various types of buildings by their respective corresponding construction capacity per unit of available rooftop area, and then accumulate the obtained products to get the development potential values of distributed rooftop photovoltaics for each power supply grid.

[0045] As Figure 2 shown, the final results of the distributed rooftop PV development potential values for each power supply grid can be represented by a topographic map with a gradually changing color (such as green). For example, the shallower to deeper green indicates the smaller to larger distributed rooftop PV development potential for each power supply grid.

[0046] In step S2, the additional distributed PV connection capacity that can be added to each substation is determined by the existing PV output coefficient, network supply load, capacity of each substation, and reverse load rate of each substation in the power grid. Among them, the additional distributed PV connection capacity that can be added to each substation is the smallest one among the 24 quotients obtained by dividing the additional distributed PV output of each hour in 24 hours of each substation by the PV output coefficient, that is, the final installed capacity; the additional distributed PV output of each hour in each substation is the sum of the network supply load of each hour in each substation and its corresponding reverse load limit; the reverse load limit of each substation is determined by its corresponding reverse load rate; the PV output coefficient is taken from the most representative load curve of the PV power station.

[0047] Then, based on the additional distributed PV connection capacity that can be added to each substation, calculate the carrying capacity of the power supply grid according to the preset supply area range of each substation, the power supply grids it contains, and the distributed rooftop PV development potential values of each power supply grid calculated in step S1.

[0048] For example, through the formula calculate the carrying capacity value S of each power supply grid m ; among them, is the additional distributed PV connection capacity that can be added to the jth substation; M i is the distributed rooftop PV development potential value of the ith power supply grid included in the supply area range of the jth substation; n is the total number of power supply grids included in the supply area range of the jth substation; m is the total number of all power supply grids in the power grid, and m ≥ n.

[0049] In one embodiment, assume there is a substation A, and substation A supplies power to power supply grids B and C. The maximum development potential of power supply grid B is a, and that of power supply grid C is b. The installed capacity of substation A is c, then the installed capacity allocated by substation A to power supply grid B is

[0050] As Figure 3 shown, the final results of the carrying capacity values of each power supply grid can be represented by a topographic map with a gradually changing color (such as red). For example, the shallower to deeper red indicates the smaller to larger carrying capacity of each power supply grid.

[0051] In step S3, first, sort the distributed rooftop PV development potential values of each power supply grid from small to large, assign corresponding grades to the sorted distributed rooftop PV development potential values of each power supply grid, sort the load-carrying capacity values of each power supply grid from small to large, and assign corresponding grades to the sorted load-carrying capacity values of each power supply grid.

[0052] Then, if the grade assigned to the distributed rooftop PV development potential value of a certain power supply grid matches the grade assigned to its corresponding load-carrying capacity value, output either of the two grades assigned to this power supply grid as the distributed PV development adaptability grade of this power supply grid;

[0053] If the grade assigned to the distributed rooftop PV development potential value of a certain power supply grid does not match the grade assigned to its corresponding load-carrying capacity value, output the smaller of the two grades assigned to this power supply grid as the distributed PV development adaptability grade of this power supply grid.

[0054] Finally, sort the distributed PV development adaptability grades of all power supply grids from small to large, and on a preset electronic map, display the sorted distributed PV development adaptability grades of all power supply grids in different colors.

[0055] It should be noted that it is also possible to calculate the additional distributed PV connection capacity of each power supply grid at four levels of reverse load factor of 0, 0.2, 0.5, and 0.8 respectively, obtain four groups of load-carrying capacity values of each power supply grid, assign grades by comparing the variation laws of these four groups of load-carrying capacity values of each power supply grid, and then compare with the grades assigned to the distributed rooftop PV development potential values to determine the distributed PV development adaptability grades of the power supply grids.

[0056] As Figure 4 shown, the final results of the distributed PV development adaptability grades of each power supply grid can be represented by a gradually changing topographic map of multiple colors (such as a five-color topographic map). If there is a certain degree of incomplete matching between the spatial distribution of distributed PV development potential and the spatial distribution of the load-carrying capacity of the distribution network, resulting in insufficient load-carrying capacity in some local distribution networks, then these areas need to be scientifically guided in terms of the space, progress, and key points of distributed PV construction and development to coordinate with the power grid for development.

[0057] As Figure 5 shown, in an embodiment of the present invention, a system for determining the distributed PV development adaptability grade is provided, including;

[0058] The first calculation unit 110 is configured to determine the power supply grids divided by the power grid for accessing the distributed rooftop photovoltaic power generation system, and obtain the proportion of the available rooftop area of various types of buildings in each power supply grid and the construction capacity per unit of available rooftop area, so as to calculate the distributed rooftop photovoltaic development potential values of each power supply grid;

[0059] The second calculation unit 120 is configured to obtain the additional distributed photovoltaic access capacity that can be added to each substation in the power grid, determine the power supply grids included in each supply area range based on the preset supply area ranges of each substation, and further combine the distributed rooftop photovoltaic development potential values of each power supply grid according to the additional distributed photovoltaic access capacity that can be added to each substation and the power supply grids included in their respective supply area ranges, so as to calculate the bearing capacity values of each power supply grid;

[0060] The result output unit 130 is configured to compare the distributed rooftop photovoltaic development potential values of each power supply grid with their corresponding bearing capacity values after assigning corresponding grades to both, and determine the distributed photovoltaic development adaptability grades of each power supply grid according to the comparison results.

[0061] Implementing the embodiments of the present invention has the following beneficial effects:

[0062] 1. Based on the power supply grids divided by the power grid for accessing the distributed rooftop photovoltaic power generation system, the present invention compares the distributed rooftop photovoltaic development potential values of each power supply grid with their corresponding bearing capacity values, and determines the distributed photovoltaic development adaptability grades of each power supply grid, so as to intuitively understand the strength of the adaptability of the power grid to the distributed rooftop photovoltaic development potential;

[0063] 2. On the preset electronic map, the present invention displays the distributed photovoltaic development adaptability grades of all sorted power supply grids by using different colors, which not only shows the analysis results of each power supply grid, but also highlights the regular connections between different power supply grids in the pilot area.

[0064] It should be noted that in the above system embodiment, the included units are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0065] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as ROM / RAM, disk, optical disc, etc.

[0066] The above-disclosed is only the preferred embodiment of the present invention, and of course, the scope of rights of the present invention cannot be limited thereby. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope covered by the present invention.

Claims

1. A method for determining the adaptability level of distributed photovoltaic development, characterized in that, the method comprises the following steps: Step S1: Determine the power supply grids divided by the power grid for accessing distributed rooftop photovoltaic power generation systems, and obtain the proportion of available rooftop area of various types of buildings and the construction capacity per unit of available rooftop area in each power supply grid, so as to calculate the distributed rooftop photovoltaic development potential values of each power supply grid; Step S2: Obtain the additional distributed photovoltaic access capacity that can be added to each substation in the power grid, and based on the preset supply area range of each substation, determine the power supply grids included in each supply area range, and further combine the additional distributed photovoltaic access capacity of each substation and the power supply grids included in their respective supply area ranges, and combine the distributed rooftop photovoltaic development potential values of each power supply grid to calculate the bearing capacity values of each power supply grid; Step S3: After assigning corresponding levels to the distributed rooftop photovoltaic development potential values and their corresponding bearing capacity values of each power supply grid, compare them, and determine the distributed photovoltaic development adaptability levels of each power supply grid according to the comparison results; wherein, the distributed rooftop photovoltaic development potential values of each power supply grid are all obtained by multiplying the proportion of available rooftop area of various types of buildings by the construction capacity per unit of available rooftop area corresponding to each of them in the same power supply grid, and then accumulating the obtained products; Among them, through the formula the carrying capacity value S of each power supply grid is calculated m ; among them, is the additional distributed PV access capacity that can be added to the j-th substation; M i is the distributed rooftop PV development potential value of the i-th power supply grid included in the supply area of the j-th substation; n is the total number of power supply grids included in the supply area of the j-th substation; m is the total number of all power supply grids in the power grid, and m ≥ n.

2. The method for determining the adaptability level of distributed photovoltaic development according to claim 1, characterized in that, the proportion of available rooftop area of various types of buildings and the construction capacity per unit of available rooftop area are both obtained by estimating parameter values based on preset photovoltaic module types, installation methods, rooftop types and the available proportion of the rooftop.

3. The method for determining the adaptability level of distributed photovoltaic development according to claim 1, characterized in that, the additional distributed photovoltaic access capacity that can be added to each substation is all determined by the existing photovoltaic output coefficient, network supply load, capacity of each substation and the reverse load rate of each substation in the power grid.

4. The method for determining the adaptability level of distributed photovoltaic development according to claim 3, characterized in that, the additional distributed photovoltaic access capacity that can be added to each substation is the minimum of the 24 quotients obtained by dividing the additional distributed photovoltaic output of each hour in 24 hours of each substation by the photovoltaic output coefficient; wherein, the additional distributed photovoltaic output of each hour in each substation is the sum of the network supply load of each hour in each substation and its corresponding reverse load limit; the reverse load limit of each substation is determined by its corresponding reverse load rate.

5. The method for determining the adaptability level of distributed photovoltaic development according to claim 1, characterized in that, step S3 specifically includes: Sort the distributed rooftop photovoltaic development potential values of each power supply grid from small to large, and assign corresponding levels to the sorted distributed rooftop photovoltaic development potential values of each power supply grid, and sort the bearing capacity values of each power supply grid from small to large, and assign corresponding levels to the sorted bearing capacity values of each power supply grid; If the grade assigned to the distributed rooftop PV development potential value of a certain power supply grid matches the grade assigned to its corresponding carrying capacity value, then any one of the two grades assigned to this power supply grid is output as the distributed PV development adaptability grade of this power supply grid; If the grade assigned to the distributed rooftop PV development potential value of a certain power supply grid does not match the grade assigned to its corresponding carrying capacity value, then the smaller one of the two grades assigned to this power supply grid is output as the distributed PV development adaptability grade of this power supply grid.

6. The method for determining the distributed PV development adaptability grade as claimed in claim 5, characterized in that, the method further comprises: Sorting the distributed PV development adaptability grades of all power supply grids from small to large, and on a preset electronic map, displaying the sorted distributed PV development adaptability grades of all power supply grids in different colors.

7. A system for determining the distributed PV development adaptability grade, characterized in that, it includes; A first calculation unit, configured to determine the power supply grids divided by the power grid for accessing the distributed rooftop PV power generation system, and obtain the proportion of the available roof area of various buildings and the construction capacity per unit available roof area in each power supply grid, so as to calculate the distributed rooftop PV development potential values of each power supply grid; A second calculation unit, configured to obtain the additional distributed PV access capacity that can be added to each substation in the power grid, and based on the preset supply area range of each substation, determine the power supply grids included in each supply area range, and further combine the additional distributed PV access capacity of each substation and the power supply grids included in their respective supply area ranges, and combine the distributed rooftop PV development potential values of each power supply grid to calculate the carrying capacity values of each power supply grid; A result output unit, configured to compare the distributed rooftop PV development potential values of each power supply grid with their corresponding carrying capacity values after assigning corresponding grades, and determine the distributed PV development adaptability grades of each power supply grid according to the comparison results; wherein, the distributed rooftop PV development potential values of each power supply grid are all obtained by multiplying the proportion of the available roof area of various buildings in the same power supply grid by their corresponding construction capacity per unit available roof area and then accumulating the obtained products; Among them, through the formula the carrying capacity value S of each power supply grid is calculated m ; where is the newly added distributed photovoltaic access capacity of the j-th substation; M i is the distributed rooftop photovoltaic development potential value of the i-th power supply grid included in the supply area of the j-th substation; n is the total number of power supply grids included in the supply area of the j-th substation; m is the total number of all power supply grids in the power grid, and m ≥ n.

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