An intelligent monitoring and management system for new energy operation systems based on artificial intelligence

Abstract

The present invention discloses an artificial intelligence-based intelligent monitoring and management system for a new energy operation system. The artificial intelligence-based intelligent monitoring and management system for a new energy operation system includes a regional power generation basic information acquisition module, a regional power information collection module, a regional power generation environment information collection module, a regional power grid information operation analysis module, and a regional information database. The present invention collects basic information, power information, and power generation environment information corresponding to each household with a photovoltaic power generation system installed in a designated area, and then analyzes the comprehensive operating benefits of the corresponding photovoltaic power generation system in the designated area. Through multi-dimensional data collection, the system effectively solves the problem of overly limited monitoring parameters in current technologies, greatly improves the comprehensiveness and accuracy of the analysis of the operating benefits of the photovoltaic power generation system in the designated area, and promotes the management of the photovoltaic power generation system in the designated area.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy operation monitoring and management, and relates to an intelligent monitoring and management system for a new energy operation system based on artificial intelligence. Background Art

[0002] With the increasing severity of environmental pollution and the depletion of energy, photovoltaic power generation has become the primary power generation method due to its abundant resources and pollution-free characteristics. Against this background, photovoltaic power generation models are constantly being updated, and household photovoltaic power generation models have also emerged. In order to ensure the stability of household photovoltaic power generation operations, it is necessary to monitor and manage the household photovoltaic power generation operation system.

[0003] Currently, the monitoring and management of household photovoltaic power generation systems is mainly used to monitor and analyze the temperature, humidity and other environmental parameters corresponding to the photovoltaic battery groups in the household photovoltaic power generation system, thereby managing the efficiency of each photovoltaic power generation. Obviously, the current monitoring and management methods of household photovoltaic power generation systems still have the following disadvantages:

[0004] 1. The purpose of the household photovoltaic power generation model is to alleviate power supply pressure on the one hand, and to provide an additional source of income for rural areas and other low-income areas on the other hand. For users of household photovoltaic power generation systems and grid platform operators, the importance of return efficiency analysis is self-evident. Currently, there is no monitoring and analysis of the return efficiency in the area where household photovoltaic power generation systems are installed. It is impossible to reflect the operation status of household photovoltaic power generation systems in the area, and thus it is impossible to provide a reliable direction for subsequent grid operation and management personnel to manage household photovoltaic power generation systems, nor to improve the management efficiency of household photovoltaic power generation systems.

[0005] 2. When analyzing the power generation efficiency of household photovoltaic power generation systems, the analysis basis is too single, which cannot effectively improve the reference and accuracy of the power generation efficiency analysis results of household power generation systems;

[0006] 3. Currently, when monitoring and managing household photovoltaic power generation systems, the grid-connected losses corresponding to the household photovoltaic power generation systems are not analyzed, and thus it is impossible to provide a clear optimization direction for the operation of the household photovoltaic power generation systems, nor to provide a decision-making reference basis for reducing power transmission losses. Summary of the Invention

[0007] In view of this, in order to solve the problems raised in the above background technology, an intelligent monitoring and management system for new energy operation system based on artificial intelligence is proposed;

[0008] The purpose of the present invention can be achieved through the following technical solutions:

[0009] The present invention provides an intelligent monitoring and management system for a new energy operation system based on artificial intelligence, the system comprising:

[0010] The regional power generation basic information acquisition module is used to obtain the number of households with photovoltaic power generation systems in the specified area, record these households as target analysis households, number each target analysis household, and mark them as 1, 2, ...i, ...n in sequence, and obtain the basic power generation information corresponding to each target analysis household;

[0011] The regional power information collection module is used to collect the power generation and grid-connected power corresponding to each target analysis household in the specified area according to the preset collection cycle, and at the same time extract the power grid account number from the basic power generation information corresponding to each target analysis household. Based on the power grid account number corresponding to each target analysis household, the actual power transmission corresponding to each target analysis household is located from the power grid management background, and the power generation, grid-connected power and actual power transmission are used as the power information corresponding to each target analysis household;

[0012] The regional power generation environment information collection module is used to collect the corresponding power generation environment information in the specified area within a preset collection period, and obtain the corresponding power generation environment information of the specified area within the preset collection period, wherein the power generation environment information is the average sunshine duration, average sunshine intensity and number of rainy days;

[0013] The regional power grid information operation analysis module is used to analyze the basic power generation information, power generation, grid connection amount, actual transmission amount and power generation environment information corresponding to each household in the designated area based on each target in the designated area. It also analyzes the comprehensive operation benefits of the photovoltaic power generation system in the designated area, outputs the comprehensive operation benefit index of the photovoltaic power generation system in the designated area, and displays it in the background.

[0014] The regional information database is used to store the geographical information, meteorological information, set direction information and photovoltaic power generation related cost information corresponding to the specified area.

[0015] In a preferred embodiment of the present invention, the basic power generation information corresponding to each target analyzed household specifically includes the power grid connection account, residential orientation, area for laying out the power generation battery group, and area of the area blocked by laying out the power generation battery group corresponding to each target analyzed household.

[0016] In a preferred embodiment of the present invention, the regional power grid information operation analysis module includes a regional power grid power generation efficiency analysis unit, a regional power grid power transmission loss analysis unit and a regional power grid return efficiency analysis unit.

[0017] In a preferred embodiment of the present invention, the regional power grid power generation efficiency analysis unit is used to analyze the power generation efficiency corresponding to the photovoltaic power generation system installed by each target analysis user in the specified area. The specific analysis process includes the following steps:

[0018] Step 1: Locate the area of the power generation battery corresponding to each target analysis household from the basic power generation information corresponding to each target analysis household, calculate the set power generation corresponding to each target analysis household, and record it as Q i预设 , where i represents the number corresponding to each target analysis household, i = 1, 2, ... n;

[0019] Step 2: Locate the power generation of each target household within the preset collection period from the power information corresponding to each target household, and record it as Q i ';

[0020] Step 3: Based on the power generation environment information corresponding to the specified area within the preset collection period, calculate the power generation environment impact weight corresponding to the specified area within the preset collection period and record it as ε;

[0021] Step 4: Based on the basic power generation information corresponding to each target analysis household, calculate the residential environmental impact weight of each target analysis household and record it as η i ;

[0022] Step 5: Based on the set power generation corresponding to each target analysis household, the power generation corresponding to each target analysis household within the preset collection period, the power generation environment impact weight corresponding to the specified area within the preset collection period, and the power generation shading impact weight corresponding to each target analysis household, the power generation efficiency index corresponding to the specified area is calculated. The specific calculation formula is: Where FX represents the power generation efficiency index corresponding to the specified area, t represents the number of days corresponding to the preset collection period, ΔQ represents the set allowable power generation difference, and σ represents the set power generation efficiency impact coefficient.

[0023] In a preferred embodiment of the present invention, the specific calculation process of the power generation environment impact weight corresponding to the preset collection period in the designated area includes the following steps:

[0024] The average sunshine duration is determined from the power generation environment information corresponding to the specified area within the preset collection period. The power generation impact weight corresponding to the sunshine duration of the specified area within the preset collection period is calculated using the calculation formula and recorded as ε1.

[0025] The average light intensity is determined from the power generation environment information corresponding to the specified area within the preset collection period. The power generation impact weight corresponding to the light intensity of the specified area within the preset collection period is calculated using the calculation formula and recorded as ε2;

[0026] Locate the number of rainy days in the designated area from the power generation environment information corresponding to the preset collection period, and use the calculation formula to calculate the power generation impact weight corresponding to the number of rainy days in the designated area within the preset collection period, and record it as ε3;

[0027] Substitute the power generation impact weights corresponding to the sunshine duration, sunshine intensity and number of rainy days in the specified area within the preset collection period into the calculation formula The corresponding power generation environment impact weights in the specified area within the preset collection period are obtained, where a1, a2, and a3 represent the preset sunshine duration, sunshine intensity, and compensation factors corresponding to rainy weather, respectively.

[0028] In a preferred embodiment of the present invention, the specific calculation process of the weight of the residential environment impact of each objective analysis is as follows:

[0029] From the basic power generation information corresponding to each target analysis household, the area of the photovoltaic array and the area of the shielding area of the photovoltaic array are located, and then the shielding area ratio corresponding to the photovoltaic array of each target analysis household is calculated and recorded as p i ;

[0030] Substitute the shielding area ratio corresponding to the layout of the power generation battery group of each target household into the calculation formula In the equation, the power generation impact weight of the shading area corresponding to the power generation group corresponding to each target analysis user is obtained, and p′ is represented by the set power generation group's permitted shading area ratio;

[0031] The residential orientation is determined from the basic power generation information corresponding to each target analysis household. Based on the residential orientation corresponding to each target analysis household, the power generation impact weight corresponding to the residential orientation of each target analysis household is determined from the regional information database and recorded as β i ;

[0032] Based on the power generation impact weight of the shielding area corresponding to the power generation group corresponding to each target analysis user and the power generation impact weight corresponding to the residential orientation, the residential environmental impact weight of each target analysis household is calculated. The specific calculation formula is: Among them, b1 and b2 represent the weights of the area blocked by the solar cell group and the residential orientation, respectively, and b1+b2=1.

[0033] In a preferred embodiment of the present invention, the regional power grid power transmission loss analysis unit is used to analyze the corresponding power transmission loss in the specified area. The specific analysis process is: locating the grid-connected power and actual transmission power corresponding to each target analysis household from the power information corresponding to each target analysis household, performing difference calculation on the grid-connected power and actual transmission power corresponding to each target analysis household, obtaining the difference between the grid-connected power of each target analysis household and its actual transmission power, recording the difference as the transmission loss power value, and then substituting the transmission loss power value corresponding to each target analysis household into the calculation formula The power transmission loss index corresponding to the specified area is obtained, Δh i It represents the transmission loss power value corresponding to the i-th target analysis household, Δh′ represents the set allowable loss power difference, and e represents a natural number. is the set grid transmission loss compensation coefficient.

[0034] In a preferred embodiment of the present invention, the regional power grid return efficiency analysis unit is used to analyze the power generation return efficiency corresponding to each target analysis household in the designated area, and the specific analysis process includes the following steps:

[0035] Locate geographic information from the regional information database, where the geographic information is the longitude and latitude corresponding to the specified region, and then use the calculation formula to calculate the power generation return efficiency impact weight corresponding to the geographic information of the specified region, and record it as δ;

[0036] Locate meteorological information from the regional information database, where the meteorological information is the average annual temperature and the longest consecutive rainy days corresponding to the specified area. Then, use the calculation formula to calculate the power generation return efficiency impact weight corresponding to the meteorological information of the specified area, and record it as φ;

[0037] Locating photovoltaic power generation related cost information from the regional information database, where the photovoltaic power generation related cost information includes the cost amount corresponding to the unit area of ​​the photovoltaic array layout, the subsidy amount corresponding to the unit power generation, and the sales amount corresponding to the unit power connected to the grid;

[0038] Substitute the photovoltaic power generation related cost information corresponding to the specified area, the geographical information of the specified area, and the power generation return efficiency impact weight corresponding to the meteorological information into the calculation formula In the equation, the power generation return efficiency index corresponding to the specified area is obtained, r represents the cost amount corresponding to the unit layout of the power generation unit, R is the set residual value of the power generation unit asset, g represents the set power generation discount rate, m represents the set licensed service life corresponding to the power generation unit, d represents the subsidy amount corresponding to the unit power generation, q represents the sales amount corresponding to the unit grid-connected power, B i It represents the grid-connected power consumption corresponding to the i-th target household in the specified area, s i′ represents the area of the solar panels deployed for the i-th target household, K represents the set reference power generation return efficiency, and ψ represents the set power generation return efficiency correction coefficient.

[0039] In a preferred embodiment of the present invention, the calculation formula for the comprehensive operation benefit index corresponding to the photovoltaic power generation system in the designated area is: Among them, λ represents the comprehensive operating benefit index of the photovoltaic power generation system corresponding to the specified area, μ1, μ2, and μ3 are the operating benefit impact weights corresponding to the set power generation benefit, transmission loss, and power generation return efficiency, respectively, and the values of μ1, μ2, and μ3 are all positive numbers.

[0040] In a preferred embodiment of the present invention, the geographical information corresponding to the designated area is the longitude and latitude; the meteorological information is the average annual temperature and the longest consecutive rainy days; the set orientation information is the power generation impact weight corresponding to the set orientation of each residential building; and the photovoltaic power generation-related cost information is the cost amount corresponding to the unit area of the photovoltaic array, the subsidy amount corresponding to the unit power generation, and the sales amount corresponding to the unit grid-connected power.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] (1) The present invention provides an intelligent monitoring and control system for a new energy operation system based on artificial intelligence. By collecting basic information, power information, and power generation environment information corresponding to each household with a photovoltaic power generation system in a designated area, the present invention analyzes the comprehensive operation benefits of the photovoltaic power generation system in the designated area. Through multi-dimensional data collection, on the one hand, it effectively solves the problem that the current technical monitoring parameters are too limited, greatly improves the comprehensiveness and accuracy of the analysis of the operation benefits of the photovoltaic power generation system in the designated area, and on the other hand, it intuitively displays the operation benefit status of the photovoltaic power generation system in the designated area, which greatly facilitates the subsequent operation and management of the photovoltaic power generation system in the designated area and promotes the development of the management of the photovoltaic power generation system in the designated area.

[0043] (2) In the regional power grid information operation analysis module of the present invention, by analyzing the return efficiency corresponding to each target analysis household in the designated area, the operation return of the photovoltaic power generation system in the designated area is effectively reflected, providing a reliable direction for the subsequent power grid operation and management personnel to manage the photovoltaic power generation system, and also greatly improving the management efficiency of the photovoltaic power generation system in the designated area;

[0044] (3) In the regional power grid information operation analysis module of the present invention, the power generation efficiency corresponding to the photovoltaic power generation system installed by the household users in the specified area is analyzed by analyzing each target, which expands the basis for the subsequent comprehensive operation benefit analysis of the photovoltaic power generation system in the specified area, avoids the problem that the current analysis basis is too single, and greatly improves the reference and accuracy of the power generation efficiency analysis results of the photovoltaic power generation system in the specified area. At the same time, by analyzing the power transmission loss in the specified area, a clear optimization direction is provided for the operation of the photovoltaic power generation system in the specified area, and a decision-making reference basis is provided for reducing the power transmission loss in the specified area. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 This is a schematic diagram of the connection of various modules of the system of the present invention;

[0047] Figure 2 This is a structural diagram of the regional power grid information operation analysis module. DETAILED DESCRIPTION

[0048] The above contents described below in conjunction with the implementation of the present invention are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall fall within the scope of protection of the present invention.

[0049] See also Figure 1 As shown, the present invention provides an intelligent monitoring and control management system for a new energy operation system based on artificial intelligence, including a regional power generation basic information acquisition module, a regional power information acquisition module, a regional power generation environment information acquisition module, a regional power grid information operation analysis module and a regional information database;

[0050] Based on the connection relationship shown in the figure, the regional power grid information operation analysis module is connected to the regional power generation basic information acquisition module, the regional power information acquisition module, the regional power generation environment information acquisition module and the regional information database respectively, and the regional power generation basic information acquisition module is connected to the regional power information acquisition module;

[0051] The regional power generation basic information acquisition module is used to obtain the number of households with photovoltaic power generation systems in a specified area, record the households as target analysis households, number each target analysis household, and mark them as 1, 2, ...i, ...n in sequence, and obtain the basic power generation information corresponding to each target analysis household;

[0052] Specifically, the basic power generation information corresponding to each target analyzed household specifically includes the power grid connection account, residential orientation, area for laying out the power generation battery group, and area of the area blocked by laying out the power generation battery group corresponding to each target analyzed household.

[0053] It should be noted that the designated area is the area where the current household photovoltaic power generation system is installed;

[0054] The regional power information collection module is used to collect the power generation and grid-connected power corresponding to each target analysis household in the specified area according to a preset collection cycle, and at the same time extract the power grid account number from the basic power generation information corresponding to each target analysis household. Based on the power grid account number corresponding to each target analysis household, the actual power transmission corresponding to each target analysis household is located from the power grid management background, and the power generation, grid-connected power and actual power transmission are used as the power information corresponding to each target analysis household;

[0055] It should be noted that the grid-connected mode described in the present invention is a self-generated and self-used surplus power grid-connected mode. The power generation is read from the installed power generation meters corresponding to the target analysis households in the designated area, and the grid-connected power is read from the middle of the installed power consumption meters corresponding to the target analysis households in the designated area, and then the power generation is subtracted from the power consumption to obtain the grid-connected power.

[0056] The regional power generation environment information collection module is used to collect the corresponding power generation environment information in the specified area within a preset collection period, and obtain the corresponding power generation environment information of the specified area within the preset collection period, wherein the power generation environment information is the average sunshine duration, average sunshine intensity and number of rainy days;

[0057] The regional power grid information operation analysis module is used to analyze the basic power generation information, power generation, grid connection amount, actual transmission amount and power generation environment information corresponding to each household in the designated area based on each target in the designated area. It also analyzes the comprehensive operation benefits of the photovoltaic power generation system in the designated area, outputs the comprehensive operation benefit index of the photovoltaic power generation system in the designated area, and displays it in the background.

[0058] Specifically, see Figure 2 As shown, the regional power grid information operation analysis module includes a regional power grid power generation efficiency analysis unit, a regional power grid power transmission loss analysis unit and a regional power grid return efficiency analysis unit.

[0059] Exemplarily, the regional power grid power generation efficiency analysis unit is used to analyze the power generation efficiency corresponding to the photovoltaic power generation system installed by each target analysis user in the designated area. The specific analysis process includes the following steps:

[0060] Step 1: Locate the area of the power generation battery corresponding to each target analysis household from the basic power generation information corresponding to each target analysis household, calculate the set power generation corresponding to each target analysis household, and record it as Q i预设 , where i represents the number corresponding to each target analysis household, i = 1, 2, ... n;

[0061] The calculation formula for the set power generation is: set power generation = rated power generation per unit power generation battery group area × power generation battery group area;

[0062] Step 2: Locate the power generation corresponding to each target household within a preset collection period from the power information corresponding to each target household, and record it as Q′;

[0063] Step 3: Based on the power generation environment information corresponding to the specified area within the preset collection period, calculate the power generation environment impact weight corresponding to the specified area within the preset collection period and record it as ε;

[0064] The specific calculation process of the power generation environment impact weight corresponding to the preset collection period in the designated area includes the following steps:

[0065] The average sunshine duration is determined from the power generation environment information corresponding to the specified area within the preset collection period. The power generation impact weight corresponding to the sunshine duration of the specified area within the preset collection period is calculated using the calculation formula and recorded as ε1. T 参考 The reference average illumination duration corresponding to the preset collection period, Indicates the average illumination duration of the specified area within the preset collection period;

[0066] The average light intensity is located from the power generation environment information corresponding to the specified area within the preset collection period, and the power generation impact weight corresponding to the light intensity of the specified area within the preset collection period is calculated using the calculation formula and recorded as ε2. C 参考 It represents the reference average light intensity corresponding to the preset collection period. Indicates the average light intensity of the specified area during the preset collection period;

[0067] The number of rainy days is determined from the power generation environment information corresponding to the specified area within the preset collection period. The power generation impact weight corresponding to the number of rainy days in the specified area within the preset collection period is calculated using the calculation formula and recorded as ε3. y represents the number of rainy days in the specified area within the preset collection period, and k represents the set reference rainy weather occurrence ratio;

[0068] Substitute the power generation impact weights corresponding to the sunshine duration, sunshine intensity and number of rainy days in the specified area within the preset collection period into the calculation formula The corresponding power generation environment impact weights in the specified area within the preset collection period are obtained, where a1, a2, and a3 represent the preset sunshine duration, sunshine intensity, and compensation factors corresponding to rainy weather, respectively.

[0069] Step 4: Based on the basic power generation information corresponding to each target analysis household, calculate the residential environmental impact weight of each target analysis household and record it as η i ;

[0070] The specific calculation process of the residential environmental impact weights for each target analysis is as follows:

[0071] From the basic power generation information corresponding to each target analysis household, the area of the photovoltaic array and the area of the shielding area of the photovoltaic array are located, and then the shielding area ratio corresponding to the photovoltaic array of each target analysis household is calculated and recorded as p i , s i It is expressed as the area of the shielding area corresponding to the layout of the power generation group for the i-th target analysis household, s′ i It represents the area of ​​the battery group deployed for the i-th target analysis household.

[0072] Substitute the shielding area ratio corresponding to the layout of the power generation battery group of each target household into the calculation formula In the equation, the power generation impact weight of the shading area corresponding to the power generation group corresponding to each target analysis user is obtained, and p′ is represented by the set power generation group's permitted shading area ratio;

[0073] The residential orientation is determined from the basic power generation information corresponding to each target analysis household. Based on the residential orientation corresponding to each target analysis household, the power generation impact weight corresponding to the residential orientation of each target analysis household is determined from the regional information database and recorded as β i ;

[0074] Based on the power generation impact weight of the shielding area corresponding to the power generation group corresponding to each target analysis user and the power generation impact weight corresponding to the residential orientation, the residential environmental impact weight of each target analysis household is calculated. The specific calculation formula is: Among them, b1 and b2 represent the weights of the area blocked by the solar cell group and the residential orientation, respectively, and b1+b2=1.

[0075] Step 5: Based on the set power generation corresponding to each target analysis household, the power generation corresponding to each target analysis household within the preset collection period, the power generation environment impact weight corresponding to the specified area within the preset collection period, and the power generation shading impact weight corresponding to each target analysis household, the power generation efficiency index corresponding to the specified area is calculated. The specific calculation formula is: Where FX represents the power generation efficiency index corresponding to the specified area, t represents the number of days corresponding to the preset collection period, ΔQ represents the set allowable power generation difference, and σ represents the set power generation efficiency impact coefficient.

[0076] Exemplarily, the regional power grid power transmission loss analysis unit is used to analyze the corresponding power transmission loss in the specified area. The specific analysis process is: locating the grid-connected power and actual transmission power corresponding to each target analysis household from the power information corresponding to each target analysis household, performing difference calculation on the grid-connected power and actual transmission power corresponding to each target analysis household, obtaining the difference between the grid-connected power of each target analysis household and its actual transmission power, recording the difference as the transmission loss power value, and then substituting the transmission loss power value corresponding to each target analysis household into the calculation formula The power transmission loss index corresponding to the specified area is obtained, Δh i It represents the transmission loss power value corresponding to the i-th target analysis household, Δh′ represents the set allowable loss power difference, and e represents a natural number. is the set grid transmission loss compensation coefficient.

[0077] The embodiment of the present invention analyzes the power generation efficiency corresponding to the photovoltaic power generation system installed by each target analysis household user in the specified area, expands the basis for subsequent comprehensive operation benefit analysis of the photovoltaic power generation system in the specified area, avoids the problem that the current analysis basis is too single, and greatly improves the reference and accuracy of the power generation efficiency analysis results corresponding to the photovoltaic power generation system in the specified area. At the same time, by analyzing the power transmission loss in the specified area, a clear optimization direction is provided for the operation of the photovoltaic power generation system in the specified area, and a decision-making reference basis is provided for reducing the power transmission loss in the specified area.

[0078] In another exemplary embodiment, the regional power grid return efficiency analysis unit is used to analyze the power generation return efficiency corresponding to each target analysis household in the designated area, and the specific analysis process includes the following steps:

[0079] Locate the geographic information from the regional information database, where the geographic information is the longitude and latitude corresponding to the specified area. Then, use the calculation formula to calculate the power generation return efficiency impact weight corresponding to the geographic information of the specified area, and record it as δ. W, N represent the longitude and latitude of the designated area, respectively; W′ and N′ represent the appropriate reference longitude and latitude for the set photovoltaic power generation; f1 and f2 represent the power generation impact weight corresponding to the longitude and latitude, respectively; ΔW and ΔN represent the permitted longitude difference and permitted latitude difference for the set photovoltaic power generation, respectively;

[0080] Locate meteorological information from the regional information database, where the meteorological information is the average annual temperature and the longest consecutive rainy days corresponding to the specified area. Then, use the calculation formula to calculate the power generation return efficiency impact weight corresponding to the meteorological information of the specified area, and record it as φ;

[0081] Among the above, T max It represents the annual average temperature and the longest continuous rainy days corresponding to the specified area, w′, T′ represents the suitable annual average temperature and the longest continuous rainy days corresponding to the set photovoltaic power generation area, Δw, ΔT represents the set allowable temperature difference and the allowable rainy days difference, c1, c2 represent the influence proportion weight corresponding to the set temperature and the influence proportion weight corresponding to the weather, respectively;

[0082] Locating photovoltaic power generation related cost information from the regional information database, where the photovoltaic power generation related cost information includes the cost amount corresponding to the unit area of ​​the photovoltaic array layout, the subsidy amount corresponding to the unit power generation, and the sales amount corresponding to the unit power connected to the grid;

[0083] Substitute the photovoltaic power generation related cost information corresponding to the specified area, the geographical information of the specified area, and the power generation return efficiency impact weight corresponding to the meteorological information into the calculation formula In the equation, the power generation return efficiency index corresponding to the specified area is obtained, r represents the cost amount corresponding to the unit layout of the power generation unit, R is the set residual value of the power generation unit asset, g represents the set power generation discount rate, m represents the set licensed service life corresponding to the power generation unit, d represents the subsidy amount corresponding to the unit power generation, q represents the sales amount corresponding to the unit grid-connected power, B i It represents the grid-connected power consumption corresponding to the i-th target household in the specified area, s′ i It represents the area of ​​the solar battery array for the i-th target analysis household, K represents the set reference power generation return efficiency, and ψ is the set power generation return efficiency correction coefficient.

[0084] The embodiment of the present invention analyzes the return efficiency corresponding to each target analysis household in the specified area, effectively reflecting the operating return of the photovoltaic power generation system in the specified area, providing a reliable direction for subsequent power grid operation and management personnel to manage the photovoltaic power generation system, and also greatly improving the management efficiency of the photovoltaic power generation system in the specified area.

[0085] It should also be noted that the calculation formula for the comprehensive operation benefit index of the photovoltaic power generation system in the specified area is: Among them, λ represents the comprehensive operating benefit index of the photovoltaic power generation system corresponding to the specified area, μ1, μ2, and μ3 are the operating benefit impact weights corresponding to the set power generation benefit, transmission loss, and power generation return efficiency, respectively, and the values of μ1, μ2, and μ3 are all positive numbers.

[0086] The regional information database is used to store geographic information, meteorological information, set orientation information and photovoltaic power generation related cost information corresponding to the specified area, wherein the geographic information corresponding to the specified area is longitude and latitude; the meteorological information is the average annual temperature and the longest consecutive number of rainy days; the set orientation information is the power generation impact weight corresponding to the set orientation of each residential building; and the photovoltaic power generation related cost information is the cost amount corresponding to the unit area of the photovoltaic battery array, the subsidy amount corresponding to the unit power generation, and the sales amount corresponding to the unit grid-connected power.

[0087] The embodiment of the present invention collects basic information, power information, and power generation environment information corresponding to each household with a photovoltaic power generation system installed in a designated area, and then analyzes the comprehensive operating benefits of the photovoltaic power generation system in the designated area. Through multi-dimensional data collection, on the one hand, it effectively solves the problem that the current technical monitoring parameters are too limited, and greatly improves the comprehensiveness and accuracy of the operating benefit analysis of the photovoltaic power generation system in the designated area. On the other hand, it intuitively displays the operating benefit status of the photovoltaic power generation system in the designated area, which provides great convenience for the subsequent operation and management of the photovoltaic power generation system in the designated area, and promotes the development of the management of the photovoltaic power generation system in the designated area.

[0088] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. An intelligent monitoring and management system for new energy operation systems based on artificial intelligence, characterized in that: include: The regional power generation basic information acquisition module is used to obtain the number of households with photovoltaic power generation systems in the specified area, record these households as target analysis households, number each target analysis household, and mark them as 1, 2, ...i, ...n in sequence, and obtain the basic power generation information corresponding to each target analysis household; The regional power information collection module is used to collect the power generation and grid-connected power corresponding to each target analysis household in the specified area according to the preset collection cycle, and at the same time extract the power grid account number from the basic power generation information corresponding to each target analysis household. Based on the power grid account number corresponding to each target analysis household, the actual power transmission corresponding to each target analysis household is located from the power grid management background, and the power generation, grid-connected power and actual power transmission are used as the power information corresponding to each target analysis household; The regional power generation environment information collection module is used to collect the corresponding power generation environment information in the specified area within a preset collection period, and obtain the corresponding power generation environment information of the specified area within the preset collection period, wherein the power generation environment information is the average sunshine duration, average sunshine intensity and number of rainy days; The regional power grid information operation analysis module is used to analyze the basic power generation information, power generation, grid connection amount, actual transmission amount and power generation environment information corresponding to each household in the designated area based on each target in the designated area. It also analyzes the comprehensive operation benefits of the photovoltaic power generation system in the designated area, outputs the comprehensive operation benefit index of the photovoltaic power generation system in the designated area, and displays it in the background. The regional information database is used to store geographic information, meteorological information, set orientation information and photovoltaic power generation related cost information corresponding to the specified area.

2. The intelligent monitoring and management system for a new energy operation system based on artificial intelligence according to claim 1 is characterized by: The basic power generation information corresponding to each target analyzed household specifically includes the power grid connection account, residential orientation, area for laying out the power generation battery group, and area of the area blocked by laying out the power generation battery group corresponding to each target analyzed household.

3. The intelligent monitoring and management system for a new energy operation system based on artificial intelligence according to claim 1 is characterized by: The regional power grid information operation analysis module includes a regional power grid power generation efficiency analysis unit, a regional power grid power transmission loss analysis unit and a regional power grid return efficiency analysis unit.

4. The intelligent monitoring and management system for a new energy operation system based on artificial intelligence according to claim 3 is characterized by: The regional power grid power generation efficiency analysis unit is used to analyze the power generation efficiency corresponding to the photovoltaic power generation system installed by each target analysis user in the designated area. The specific analysis process includes the following steps: Step 1: Locate the area of the power generation battery corresponding to each target analysis household from the basic power generation information corresponding to each target analysis household, calculate the set power generation corresponding to each target analysis household, and record it as , where i represents the number corresponding to each target analysis household, i=1,2,......n; Step 2: Locate the power generation corresponding to each target household in the preset collection period from the power information corresponding to each target household, and record it as ; Step 3: Based on the power generation environment information corresponding to the specified area within the preset collection period, calculate the power generation environment impact weight corresponding to the specified area within the preset collection period and record it as ; Step 4: Based on the basic power generation information corresponding to each target analysis household, calculate the residential environmental impact weight of each target analysis household and record it as ; Step 5: Based on the set power generation corresponding to each target analysis household, the power generation corresponding to each target analysis household within the preset collection period, the power generation environment impact weight corresponding to the specified area within the preset collection period, and the power generation shading impact weight corresponding to each target analysis household, the power generation efficiency index corresponding to the specified area is calculated. The specific calculation formula is: ,in Expressed as the power generation efficiency index corresponding to the specified area, Indicates the number of days corresponding to the preset collection cycle. Indicates the set permissible power generation difference, Expressed as the set power generation efficiency influence coefficient.

5. The intelligent monitoring and management system for a new energy operation system based on artificial intelligence according to claim 4 is characterized in that: The specific calculation process of the power generation environment impact weight corresponding to the preset collection period in the specified area includes the following steps: The average sunshine duration is determined from the power generation environment information corresponding to the specified area within the preset collection period, and the power generation impact weight corresponding to the sunshine duration of the specified area within the preset collection period is calculated using the calculation formula and recorded as ; The average light intensity is located from the power generation environment information corresponding to the specified area within the preset collection period, and the power generation impact weight corresponding to the light intensity of the specified area within the preset collection period is calculated using the calculation formula and recorded as ; The number of rainy days in the designated area during the preset collection period is determined from the power generation environment information. The power generation impact weight corresponding to the number of rainy days in the designated area during the preset collection period is calculated using the calculation formula and recorded as ; Substitute the power generation impact weights corresponding to the sunshine duration, sunshine intensity and number of rainy days in the specified area within the preset collection period into the calculation formula The corresponding power generation environment impact weights in the specified area within the preset collection period are obtained, where a1, a2, and a3 represent the preset sunshine duration, sunshine intensity, and compensation factors corresponding to rainy weather, respectively.

6. The intelligent monitoring and management system for a new energy operation system based on artificial intelligence according to claim 4 is characterized by: The specific calculation process of the household residential environmental impact weights for each target analysis is as follows: From the basic power generation information corresponding to each target analysis household, the area of the layout of the power generation battery group and the area of the shielding area of the layout of the power generation battery group are located, and then the shielding area ratio corresponding to the layout of the power generation battery group of each target analysis household is calculated and recorded as ; Substitute the shielding area ratio corresponding to the layout of the power generation battery group of each target household into the calculation formula In the above example, we can get the power generation impact weight of the shading area corresponding to the power generation battery group of each target analysis user. It is expressed as the set permissible shading area ratio of the power generation battery group; The residential orientation is determined from the basic power generation information corresponding to each target analysis household. Based on the residential orientation corresponding to each target analysis household, the power generation impact weight corresponding to the residential orientation of each target analysis household is determined from the regional information database and recorded as ; Based on the power generation impact weight of the shielding area corresponding to the power generation group corresponding to each target analysis user and the power generation impact weight corresponding to the residential orientation, the residential environmental impact weight of each target analysis household is calculated. The specific calculation formula is: , where b1 and b2 represent the weights of the area blocked by the power generation group and the residential orientation respectively. .

7. The intelligent monitoring and management system for a new energy operation system based on artificial intelligence according to claim 3 is characterized by: The regional power grid power transmission loss analysis unit is used to analyze the corresponding power transmission loss in the specified area. The specific analysis process is as follows: locate the grid-connected power and actual transmission power corresponding to each target analysis household from the power information corresponding to each target analysis household, calculate the difference between the grid-connected power and the actual transmission power corresponding to each target analysis household, obtain the difference between the grid-connected power of each target analysis household and its actual transmission power, record the difference as the transmission loss power value, and then substitute the transmission loss power value corresponding to each target analysis household into the calculation formula , the power transmission loss index corresponding to the specified area is obtained. It represents the transmission loss power value corresponding to the i-th target analysis household, It is expressed as the set allowable power loss difference, e is expressed as a natural number, is the set grid transmission loss compensation coefficient.

8. The intelligent monitoring and management system for a new energy operation system based on artificial intelligence according to claim 3 is characterized by: The regional power grid return efficiency analysis unit is used to analyze the power generation return efficiency corresponding to each target analysis household in the designated area. The specific analysis process includes the following steps: Locate the geographical information from the regional information database, where the geographical information is the longitude and latitude corresponding to the specified area, and then use the calculation formula to calculate the power generation return efficiency impact weight corresponding to the geographical information of the specified area, and record it as ; The meteorological information is located from the regional information database, where the meteorological information is the average annual temperature and the longest continuous rainy days corresponding to the specified area. Then, the calculation formula is used to calculate the power generation return efficiency impact weight corresponding to the meteorological information of the specified area, and it is recorded as ; Locating photovoltaic power generation related cost information from the regional information database, where the photovoltaic power generation related cost information includes the cost amount corresponding to the unit area of ​​the photovoltaic array layout, the subsidy amount corresponding to the unit power generation, and the sales amount corresponding to the unit power connected to the grid; Substitute the photovoltaic power generation related cost information corresponding to the specified area, the geographical information of the specified area, and the power generation return efficiency impact weight corresponding to the meteorological information into the calculation formula The power generation return efficiency index corresponding to the specified area is obtained, r represents the cost amount corresponding to the unit layout of the power generation unit, R is the set residual value of the power generation unit asset, g represents the set power generation discount rate, m represents the set licensed service life corresponding to the power generation unit, d represents the subsidy amount corresponding to the unit power generation, and q represents the sales amount corresponding to the unit grid-connected power. It represents the grid-connected power consumption corresponding to the i-th target household in the specified area, It represents the area of ​​the battery group for the i-th target analysis household, K represents the set reference power generation return efficiency, It is the set power generation return efficiency correction coefficient.

9. The intelligent monitoring and management system for a new energy operation system based on artificial intelligence according to claim 1 is characterized by: The calculation formula for the comprehensive operation benefit index of the photovoltaic power generation system in the specified area is: ,in, It is expressed as the comprehensive operation benefit index of the photovoltaic power generation system corresponding to the specified area, are the operating benefit impact weights corresponding to the set power generation benefit, transmission loss, and power generation return efficiency, The values are all positive numbers. Expressed as the power generation efficiency index corresponding to the specified area, Indicates the power transmission loss index corresponding to the specified area, Indicates the power generation return efficiency index corresponding to the specified area.

10. The intelligent monitoring and management system for a new energy operation system based on artificial intelligence according to claim 1, characterized in that: The geographical information corresponding to the designated area is the longitude and latitude; the meteorological information is the average annual temperature and the longest consecutive rainy days; the set orientation information is the power generation impact weight corresponding to the set orientation of each residential building; the photovoltaic power generation related cost information is the cost amount corresponding to the unit area of the photovoltaic array, the subsidy amount corresponding to the unit power generation and the sales amount corresponding to the unit grid-connected power.

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