Intelligent power grid planning coordination evaluation method

Abstract

The invention discloses a smart power grid planning coordination evaluation method, which relates to the technical field of power grid planning and comprises the steps of 1, data acquisition, 2, data analysis and 3, coordination evaluation. Regional division is carried out on the power grid layout, so that optimization of a power transmission path, reduction of line loss and analysis of commercial power grid quality indexes and residential power grid quality indexes of each power grid region of a city are facilitated, the power grid layout is closely combined with actual power utilization requirements of different regions, and the overall operation efficiency of the power grid is improved; whether the layout plans of the power grid areas of the city are coordinated is judged, the grade labels of the power grid areas of the city are generated, and the set of the grade labels of the power grid areas of the city is gathered, so that the coordination degree difference of the layout plans of the power grids of different areas can be visually displayed, and resources are reasonably allocated. The blind large-scale transformation or adjustment of the power grid is avoided, the coordination of the layout planning of the power grid can be improved, and the overall performance of the power grid is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid planning, and particularly relates to an intelligent power grid planning coordination evaluation method. Background Art

[0002] Intelligent power grid planning needs to comprehensively consider various factors to achieve coordinated operation of each link. However, the current intelligent power grid planning faces many challenges in terms of coordination. There are significant differences in load characteristics in different regions. The peak electricity consumption periods in commercial areas and residential areas are different, and the load change rules are also very different, which brings great difficulties to load forecasting and distribution in power grid planning. It often leads to the uncoordinated phenomenon that power supply is tense in some regions during peak hours, while there is capacity redundancy in other regions. Therefore, it is necessary to analyze an intelligent power grid planning coordination evaluation method.

[0003] The prior art, such as an invention patent application with publication number: CN118868072A, discloses a power grid investment optimization method based on big data analysis, which optimizes the construction scale data of the energy storage system in the power grid planning area according to the virtual energy storage compensation parameter of the power grid planning area. This invention comprehensively considers the charging demand and discharging capacity of electric vehicles to determine the optimal construction scale of the energy storage system, providing a more scientific basis for power grid investment optimization.

[0004] The prior art for an intelligent power grid planning coordination evaluation method can meet the basic requirements, but there are also some potential defects and challenges, which are specifically reflected in the following aspects: First, the analysis of regional division according to the power grid layout of the population density and industrial development plan of the city in the prior art summary is not accurate enough, affecting the optimization of the power transmission path, increasing the line loss. Due to the lack of analysis of the commercial power grid quality index of each power grid area in the city and the residential power grid quality index of each area in the city, it affects the problem of closely combining the power grid layout with the actual electricity demand in different regions, increasing the occurrence of power supply shortage or surplus in some regions, resulting in losses, and further reducing the overall operation efficiency of the power grid and affecting the accuracy of power grid quality assessment.

[0005] Second, the prior art does not pay enough attention to judging whether the layout planning of each power grid area in the city is coordinated, generating the grade labels of each power grid area in the city, and aggregating the set of grade labels of each power grid area in the city, thus affecting the coordination degree difference of the power grid layout planning in different regions, leading to unreasonable resource allocation, affecting the problem of large-scale transformation or adjustment of the power grid, increasing the waste of manpower, material resources and financial resources, reducing the rectification efficiency, affecting the improvement of the coordination of the power grid layout planning, and reducing the overall performance of the power grid. Summary of the Invention

[0006] The object of the present invention is to provide an intelligent power grid planning coordination evaluation method, which solves the problems existing in the background technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an intelligent power grid planning coordination evaluation method, including Step 1, data collection, Step 2, data analysis, and Step 3, coordination evaluation.

[0008] Step 1, data collection: Divide the regions according to the population density of the city and the power grid layout of the industrial development plan to obtain each power grid region, and conduct data collection to obtain the commercial data of each power grid region and the residential data of each power grid region, and analyze the commercial power grid quality index of each power grid region in the city and the residential power grid quality index of each region in the city.

[0009] Step 2, data analysis: Based on the obtained commercial power grid quality index of each power grid region in the city and the residential power grid quality index of each region in the city, judge whether the layout planning of each power grid region in the city is coordinated, and execute Step 3.

[0010] Step 3, coordination evaluation: Generate the grade labels of each power grid region in the city, and converge the set of grade labels of each power grid region in the city.

[0011] Furthermore, the commercial data of each power grid region includes: the peak business hours and off-peak business hours of each power grid region in the city, and the corresponding business power consumption of the business hours of each power grid region in the city is matched, the carrying capacity of the commercial power grid of each power grid region in the city corresponding to the unit tie-line capacity, the transformer load rate, and the carbon emission values in each time period.

[0012] Furthermore, for the commercial power grid quality index of each power grid region in the city, its specific analysis method is: Based on the obtained commercial data of each power grid region, analyze the business power load index W i of the commercial power grid of each power grid region in the city, the equipment power quality index E i of the commercial power grid of each power grid region in the city, and the environmental quality index P i of the commercial power grid of each power grid region in the city, and evaluate the commercial power grid quality index of each power grid region in the city. Its specific calculation formula is: Among them, i represents the number of the power grid region, i = 1, 2,..., L, and L represents the number of power grid regions.

[0013] Further, for the business power consumption load index of the commercial power grids in each power grid area of the city, the specific analysis method is as follows: Based on the obtained peak business hours and off-peak business hours of each power grid area of the city, the corresponding business power consumption for the business hours of each power grid area of the city is matched. The reference business power consumption of each area of the city is extracted from the database, and the business power consumption load index of the commercial power grids in each power grid area of the city is analyzed. The specific calculation formula is: v i represents the business power consumption of the i-th power grid area of the city, and v' i represents the reference business power consumption of the i-th power grid area of the city.

[0014] Further, for the equipment power quality index of the commercial power grids in each power grid area of the city, the specific analysis method is as follows: Based on the obtained quantity, installed capacity, power, and harmonic content of each commercial assembly equipment in each power grid area of the city, the quantity, installed capacity, and power of each commercial assembly equipment in each power grid area of the city are multiplied to obtain the actual power load value of each commercial assembly equipment in each power grid area of the city. The actual power load values of each commercial assembly equipment in each power grid area of the city are averaged to obtain the average actual power load of the commercial assembly equipment in each power grid area of the city. The reference average actual power load and harmonic reference content of the commercial assembly equipment in each power grid area of the city are extracted from the database, and the equipment power quality index of the commercial power grids in each power grid area of the city is analyzed. The specific calculation formula is: where, e' i represents the reference average actual power load of the commercial assembly equipment in the i-th power grid area of the city, and e i represents the average actual power load of the commercial assembly equipment in the i-th power grid area of the city, s' i represents the harmonic reference content of the commercial assembly equipment in the i-th power grid area of the city, and s ih represents the harmonic content of the h-th commercial assembly equipment in the i-th power grid area of the city, where h represents the number of the commercial assembly equipment, h = 1, 2,..., r, and r represents the quantity of the commercial assembly equipment.

[0015] Further, for the environmental quality index of the commercial power grids in each power grid area of the city, the specific analysis method is as follows: Based on the obtained carrying electricity corresponding to the unit tie line capacity, transformer load rate, and carbon emission values in each time period of the commercial power grids in each power grid area of the city, and the reference carrying electricity corresponding to the unit tie line capacity, transformer load rate reference value, and carbon emission reference interval of the commercial power grids in each power grid area of the city are extracted from the database, and the environmental quality index of the commercial power grids in each power grid area of the city is analyzed, where, A' iThe reference carrying electricity quantity corresponding to the unit connection line capacity of the commercial power grid in the i-th power grid area of the city, A i The carrying electricity quantity corresponding to the unit connection line capacity of the commercial power grid in the i-th power grid area of the city, B' i The reference interval of the transformer load rate of the commercial power grid in the i-th power grid area of the city, B i The transformer load rate of the commercial power grid in the i-th power grid area of the city, F' i The reference carbon emission value of the commercial power grid in the i-th power grid area of the city, F in The reference carbon emission value of the commercial power grid in the i-th power grid area of the city in the n-th time period, where n represents the number of the time period, n = 1, 2,..., j, and j represents the number of time periods.

[0016] Furthermore, for the residential power grid quality index of each power grid area of the city, its specific analysis method is as follows: Based on the obtained residential data of each power grid area, where the residential data includes: residential electricity consumption, the actual electricity load value of residential assembly equipment, the carrying electricity quantity corresponding to the unit connection line capacity of the residential power grid, transmission rate, and transformer load rate, and extract from the database the intervals that meet the residential electricity consumption, the electricity load value of residential assembly equipment, the carrying electricity quantity corresponding to the unit connection line capacity of the residential power grid, the transmission rate, and the transformer load rate, and then analyze the residential power grid operation index of each power grid area of the city. Its specific calculation formula is: D ib Represents the b-th residential data in the i-th power grid area of the city, D b ' represents the safety interval of the b-th residential data of the city, b ∈ [1, 5].

[0017] Furthermore, for the judgment of whether the layout planning of each power grid area of the city is coordinated, its specific analysis method is as follows: Based on the obtained commercial power grid operation index of each power grid area of the city and the residential power grid operation index of each area of the city, if Then it is judged that the operation of this power grid area of the city is uncoordinated, and combined with the development plan of the city, this power grid area of the city is recorded as a first-class power grid functional group. Here, ∧ is a logical symbol representing and, β i ' Represents that the commercial power grid operation index of each power grid area of the city meets the threshold and the residential power grid operation index of each power grid area of the city meets the threshold.

[0018] If Then this power grid area of the city is recorded as a second-class power grid functional group. Here, ∨ is a logical symbol representing or.

[0019] If Then, the power grid area of the city is recorded as a class-three power grid functional group.

[0020] Furthermore, the grade labels of each power grid area of the city are generated, and the set of grade labels of each power grid area of the city is aggregated. The specific analysis method is as follows: count the first labels of each power grid area of the city generated by each class-one power grid functional group, count the second labels of each power grid area of the city generated by each class-two power grid functional group, and count the third labels of each power grid area of the city generated by each class-three power grid functional group.

[0021] Count the correction values of the layout plans of each power grid area within the first label of each power grid area of the city to generate the layout plan correction set of the first label of each power grid area of the city, count the correction values of the layout plans of each power grid area within the second label of each power grid area of the city to generate the layout plan correction set of the second label of each power grid area of the city, and generate the layout plan correction set of the third label of each power grid area of the city according to this method.

[0022] Furthermore, for the first label of each power grid area of the city, the second label of each power grid area of the city, and the third label of each power grid area of the city, among them, the first label of each power grid area of the city is greater than the second label of each power grid area of the city, the second label of each power grid area of the city is greater than the third label of each power grid area of the city. The rationality of the layout plan of each power grid area in the first label of each power grid area of the city is relatively low. Increasing the substation layout points and tie lines and increasing the number of daily monitoring devices is beneficial to reducing line losses and improving the flexibility and reliability of the power grid. The rationality of the layout plan of each power grid area in the second label of each power grid area of the city is average and should be maintained according to the historical number of daily monitoring devices. The rationality of the layout plan of each power grid area in the third label of each power grid area of the city is relatively high, and the historical number of daily monitoring devices can be reduced.

[0023] The beneficial effects of the present invention are as follows: First, in Step 1, data collection: The regional division is carried out according to the power grid layout of the population density and industrial development plan of the city, which helps to optimize the power transmission path, reduce line losses, and analyze the commercial power grid quality index of each power grid area of the city and the residential power grid quality index of each area of the city based on the obtained commercial data and residential data of each power grid area, so that the power grid layout is closely combined with the actual electricity demand of different regions, avoiding the situation of power shortage or power surplus in some regions, avoiding losses caused by mixed power supply, improving the overall operation efficiency of the power grid, and enhancing the accuracy of power grid quality assessment;

[0024] II. In Step 2, data analysis, and Step 3, coordination evaluation: Based on the commercial power grid quality indices of each power grid region in the city and the residential power grid quality indices of each region in the city, it is determined whether the layout planning of each power grid region in the city is coordinated, grade labels for each power grid region in the city are generated, and a set of grade labels for each power grid region in the city is aggregated, which can intuitively display the differences in the coordination degrees of the power grid layout planning in different regions, rationally allocate resources, avoid blindly carrying out large-scale renovations or adjustments to the power grid, reduce waste of manpower, material resources, and financial resources, improve the rectification efficiency, can more quickly improve the coordination of the power grid layout planning, and enhance the overall performance of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] 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 use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0026] Figure 1 It is a schematic flow chart of the implementation steps of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0028] Referring to Figure 1 as shown, the present invention provides an intelligent power grid planning coordination evaluation method, including Step 1, data collection, Step 2, data analysis, and Step 3, coordination evaluation.

[0029] Step 1, data collection: According to the population density of the city and the power grid layout of the industrial development plan, regional division is carried out to obtain each power grid region, and data collection is carried out to obtain the commercial data of each power grid region and the residential data of each power grid region, and the commercial power grid quality indices of each power grid region in the city and the residential power grid quality indices of each region in the city are analyzed.

[0030] In the above embodiment, the commercial data of each power grid region includes: the peak business hours and off-peak business hours of each power grid region in the city, the corresponding business electricity consumption of the business hours of each power grid region in the city, the load-bearing electricity corresponding to the unit tie line capacity of the commercial power grid of each power grid region in the city, the transformer load rate, and the carbon emission values in each time period.

[0031] In the above embodiments, for the commercial power grid quality index of each power grid area in the city, the specific analysis method is as follows: Based on the obtained commercial data of each power grid area, analyze the operating power load index W of the commercial power grid in each power grid area of the city i , the equipment power quality index E of the commercial power grid in each power grid area of the city i and the environmental quality index P of the commercial power grid in each power grid area of the city i , and evaluate the commercial power grid quality index of each power grid area in the city. The specific calculation formula is as follows: where i represents the number of the power grid area, i = 1, 2,..., L, and L represents the number of power grid areas.

[0032] In the above embodiments, for the operating power load index of the commercial power grid in each power grid area of the city, the specific analysis method is as follows: Based on the obtained peak operating duration and off-peak operating duration of each power grid area in the city, match the corresponding operating power consumption of the operating duration of each power grid area in the city, extract the reference operating power consumption of each area in the city from the database, and analyze the operating power load index of the commercial power grid in each power grid area of the city. The specific calculation formula is as follows: v i represents the operating power consumption of the i-th power grid area in the city, and v' i represents the reference operating power consumption of the i-th power grid area in the city.

[0033] It should be noted that the reference operating power consumption of each power grid area in the city is the maximum power consumption during planning.

[0034] In the above embodiments, for the equipment power quality index of the commercial power grid in each power grid area of the city, the specific analysis method is as follows: Based on the obtained quantity, installed capacity, power, and harmonic content of each commercial assembly device in each power grid area of the city, multiply the quantity, installed capacity, and power of each commercial assembly device in each power grid area of the city to obtain the actual power load value of each commercial assembly device in each power grid area of the city, and perform an averaging process on the actual power load values of each commercial assembly device in each power grid area of the city to obtain the average actual power load of the commercial assembly devices in each power grid area of the city. Then, extract the average reference actual power load and harmonic reference content of the commercial assembly devices in each power grid area of the city from the database, and analyze the equipment power quality index of the commercial power grid in each power grid area of the city. The specific calculation formula is as follows: where e' i represents the average reference actual power load of the commercial assembly devices in the i-th power grid area of the city, and e i represents the average actual power load of the commercial assembly devices in the i-th power grid area of the city, and s'i It is represented as the reference harmonic content of commercial installations in the i-th grid area of the city, s ih It represents the harmonic content of the h-th commercial installation equipment in the i-th power grid area of the city, where h represents the number of the commercial installation equipment, h=1,2,...,r, and r represents the number of commercial installation equipment.

[0035] It should be noted that the commercial assembly equipment in each power grid area of the city includes central air-conditioning systems, large cold storage, escalators, etc.

[0036] It should be noted that harmonic content: harmonics will cause additional losses to power grid equipment, reduce equipment efficiency, and may also interfere with communication systems. If the harmonic content in commercial areas exceeds the standard due to the large-scale use of nonlinear electrical equipment, and no corresponding harmonic control measures are taken in the power grid layout planning, it will not only affect the operation of commercial equipment, but may also be transmitted to residential areas through the power grid, affecting the normal operation of residential electrical equipment. This shows that the power grid is insufficient in considering the power quality requirements of different types of loads, and the layout planning is not coordinated. Therefore, the filtering content is analyzed.

[0037] In the above embodiment, the environmental quality index of the commercial power grid in each power grid area of the city is specifically analyzed by: based on the obtained carrying capacity corresponding to the unit interconnection line capacity of the commercial power grid in each power grid area of the city, the transformer load rate and the carbon emission value in each time period, and extracting the carrying reference capacity corresponding to the unit interconnection line capacity of the commercial power grid in each power grid area of the city, the transformer load rate reference value and the carbon emission reference interval from the database, analyzing the environmental quality index of the commercial power grid in each power grid area of the city, Among them, A' i It is represented as the reference power load corresponding to the unit interconnection line capacity of the commercial power grid in the i-th power grid area of the city, A i It is represented by the carrying capacity of the commercial power grid per unit interconnection line capacity of the i-th power grid area of the city, B' i It is represented as the reference interval of transformer load rate of commercial power grid in the i-th power grid area of the city, B i It is represented by the transformer load factor of the commercial power grid in the i-th power grid area of the city, F' i It is represented as the carbon emission reference value of the commercial power grid in the i-th power grid area of the city, F in It is represented as the carbon emission reference value of the commercial power grid in the i-th power grid area of the city in the n-th time period, n is represented as the number of the time period, n=1,2,...,j, and j is represented as the number of time periods.

[0038] It should be noted that the transformer load factor is the average load factor of each transformer.

[0039] It should be noted that the reference carrying electricity quantity corresponding to the unit connection line capacity of the commercial power grid in each power grid area of the city is expressed as the electricity quantity transmitted from the commercial power grid to the residential power grid.

[0040] In the above embodiments, for the residential power grid quality index of each power grid area of the city, the specific analysis method is as follows: Based on the obtained residential data of each power grid area, where the residential data includes: residential electricity consumption, actual electricity load values of residential equipped devices, carrying electricity quantity corresponding to the unit connection line capacity of the residential power grid, transmission rate, and transformer load rate, and extract from the database the intervals that the residential electricity consumption conforms to, the intervals that the electricity load values of residential equipped devices conform to, the intervals that the carrying electricity quantity corresponding to the unit connection line capacity of the residential power grid conforms to, the intervals that the transmission rate conforms to, and the intervals that the transformer load rate conforms to, and then analyze the residential power grid operation index of each power grid area of the city. The specific calculation formula is: D ib represents the b-th residential data of the i-th power grid area of the city, D b ' represents the safety interval of the b-th residential data of the city, b ∈ [1, 5].

[0041] It should be noted that each residential equipped device in each area of the city includes elevators, street lamps, charging piles, etc.

[0042] It should be noted that the reference carrying electricity quantity corresponding to the unit connection line capacity of the residential power grid in each power grid area of the city is expressed as the electricity quantity dispatched from the residential power grid to the commercial power grid.

[0043] It should be noted that during some special periods, such as in summer when commercial places use a large number of cooling devices such as air conditioners, or during winter commercial promotion activities when the business hours of shopping malls are extended and the use of lighting, electrical appliances and other devices increases, resulting in the commercial power grid load exceeding its power supply capacity. At this time, in order to ensure the normal power supply in the commercial area and avoid power outages caused by overload, a part of the electricity is dispatched from the residential power grid to meet the emergency demand for commercial electricity.

[0044] In Step 1, data collection: Divide the regions according to the power grid layout of the population density and industrial development plan of the city, which helps to optimize the power transmission path, reduce line losses, and analyze the commercial power grid quality index of each power grid area of the city and the residential power grid quality index of each area of the city based on the obtained commercial data and residential data of each power grid area, so that the power grid layout is closely combined with the actual electricity demand of different regions, avoiding the situation of power supply shortage or surplus in some regions, avoiding losses caused by mixed power supply, improving the overall operation efficiency of the power grid, and enhancing the accuracy of power grid quality assessment;

[0045] Step 2. Data analysis: Based on the commercial power grid quality indices of each power grid area in the city and the residential power grid quality indices of each area in the city, determine whether the layout planning of each power grid area in the city is coordinated, and execute Step 3.

[0046] Step 3. Coordination evaluation: Generate the grade labels of each power grid area in the city, and aggregate the set of grade labels of each power grid area in the city.

[0047] In the above embodiment, the method for specifically analyzing whether the layout planning of each power grid area in the city is coordinated is as follows: Based on the commercial power grid operation indices of each power grid area in the city and the residential power grid operation indices of each area in the city, if then it is determined that the operation of this power grid area in the city is uncoordinated, and in combination with the development plan of the city, this power grid area in the city is recorded as a type I power grid functional group, where ∧ is a logical symbol representing and, and β i ' represents that the commercial power grid operation indices of each power grid area in the city meet the threshold and the residential power grid operation indices of each power grid area in the city meet the threshold.

[0048] If then this power grid area in the city is recorded as a type II power grid functional group, where ∨ is a logical symbol representing or.

[0049] If then this power grid area in the city is recorded as a type III power grid functional group.

[0050] In the above embodiment, the method for specifically analyzing the generation of the grade labels of each power grid area in the city and aggregating the set of grade labels of each power grid area in the city is as follows: Count the one-label of each power grid area in the city generated by each type I power grid functional group, count the two-label of each power grid area in the city generated by each type II power grid functional group, and count the three-label of each power grid area in the city generated by each type III power grid functional group.

[0051] Count the correction values of the layout planning of each power grid area within the one-label of each power grid area in the city to generate the layout planning correction set of the one-label of each power grid area in the city, count the correction values of the layout planning of each power grid area within the two-label of each power grid area in the city to generate the layout planning correction set of the two-label of each power grid area in the city, and in accordance with this method, generate the layout planning correction set of the three-label of each power grid area in the city.

[0052] In the above embodiments, there are a first label, a second label, and a third label for each power grid area of the city. Among them, the first label of each power grid area of the city is greater than the second label of each power grid area of the city, and the second label of each power grid area of the city is greater than the third label of each power grid area of the city. The rationality of the layout planning of each power grid area in the first label of each power grid area of the city is relatively low. By increasing the substation layout points and tie lines, and increasing the number of daily monitoring devices, it is beneficial to reduce line losses, improve the flexibility and reliability of the power grid. The rationality of the layout planning of each power grid area in the second label of each power grid area of the city is average and should be maintained according to the number of historical daily monitoring devices. The rationality of the layout planning of each power grid area in the third label of each power grid area of the city is relatively high, and the number of historical daily monitoring devices can be reduced.

[0053] In Step 2, data analysis and Step 3, coordination evaluation: Based on the obtained commercial power grid quality index of each power grid area of the city and the residential power grid quality index of each area of the city, it is judged whether the layout planning of each power grid area of the city is coordinated, a grade label for each power grid area of the city is generated, and a set of grade labels for each power grid area of the city is aggregated. This can intuitively display the difference in the coordination degree of the power grid layout planning in different regions, reasonably allocate resources, avoid blindly carrying out large-scale transformation or adjustment of the power grid, reduce waste of manpower, material resources and financial resources, improve the rectification efficiency, and can improve the coordination of the power grid layout planning faster and enhance the overall performance of the power grid.

[0054] It should be noted that the reference electricity consumption for business of each area of the city, the reference average value of the actual power consumption load and harmonic reference content of the commercial assembly equipment of each power grid area of the city, the reference power carrying capacity corresponding to the unit tie line capacity of the commercial power grid of each power grid area of the city, the reference value of the transformer load rate and the reference carbon emission interval, the residential electricity consumption compliance interval, the power consumption load value compliance interval of the residential assembly equipment, the power carrying capacity compliance interval corresponding to the unit tie line capacity of the residential power grid, the transmission rate compliance interval and the transformer load rate compliance interval, the commercial power grid operation index compliance threshold of each power grid area of the city and the residential power grid operation index compliance threshold of each power grid area of the city stored in the database are all standards set by power experts or industry standards.

[0055] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent power grid planning coordination evaluation method, characterized in that Including: Step 1, data collection: Divide the area according to the power grid layout of the population density and industrial development plan of the city to obtain each power grid area, and conduct data collection to obtain the commercial data of each power grid area and the residential data of each power grid area, and analyze the commercial power grid quality index of each power grid area of the city and the residential power grid quality index of each area of the city; Step 2, data analysis: Based on the commercial power grid quality index of each power grid area of the city and the residential power grid quality index of each area of the city obtained, judge whether the layout plan of each power grid area of the city is coordinated, and execute Step 3; Step 3, coordination evaluation: Generate the grade labels of each power grid area of the city, and converge the set of grade labels of each power grid area of the city.

2. The intelligent power grid planning coordination evaluation method according to claim 1, characterized in that The commercial data of each power grid area includes: the peak business hours and off-peak business hours of each power grid area of the city, and the corresponding business electricity consumption for the business hours of each power grid area of the city, the carrying electricity corresponding to the unit tie line capacity of the commercial power grid of each power grid area of the city, the transformer load rate, and the carbon emission values in each time period are matched.

3. The intelligent power grid planning coordination evaluation method according to claim 2, characterized in that, The specific analysis method of the commercial power grid quality index of each power grid area of the city is: Based on the obtained commercial data of each power grid area, analyze the operating power load index W of the commercial power grid in each power grid area of the city i and the equipment power quality index E of the commercial power grid in each power grid area of the city i and the environmental quality index P of the commercial power grid in each power grid area of the city i , and evaluate the commercial power grid quality index of each power grid area of the city. The specific calculation formula is as follows: Among them, i represents the number of the power grid area, i = 1, 2,..., L, and L represents the number of power grid areas.

4. The intelligent power grid planning coordination evaluation method according to claim 3, characterized in that The specific analysis method of the business electricity load index of the commercial power grid of each power grid area of the city is: Based on the peak business hours and off-peak business hours of each power grid area in the city obtained, the business electricity consumption corresponding to the business hours of each power grid area in the city is matched, the business reference electricity consumption of each area in the city is extracted from the database, and the business electricity load index of the commercial power grid in each power grid area of the city is analyzed. The specific calculation formula is as follows: v i represents the business electricity consumption of the i-th power grid area in the city, and v' i represents the business reference electricity consumption of the i-th power grid area in the city.

5. The intelligent power grid planning coordination evaluation method according to claim 3, characterized in that, The specific analysis method of the equipment electricity quality index of the commercial power grid of each power grid area of the city is: Based on the quantity, installed capacity, power, and harmonic content of each commercial assembly device in each power grid area of the city, multiply the quantity, installed capacity, and power of each commercial assembly device in each power grid area of the city to obtain the actual power consumption load value of each commercial assembly device in each power grid area of the city, and perform an averaging process on the actual power consumption load values of each commercial assembly device in each power grid area of the city to obtain the average actual power consumption load of the commercial assembly devices in each power grid area of the city. Then, extract the average reference actual power consumption load and harmonic reference content of the commercial assembly devices in each power grid area of the city from the database, and analyze the equipment power consumption quality index of the commercial power grid in each power grid area of the city. The specific calculation formula is as follows: Among them, e' i represents the average reference actual power consumption load of the commercial assembly devices in the i-th power grid area of the city, and e i represents the average actual power consumption load of the commercial assembly devices in the i-th power grid area of the city, s' i represents the harmonic reference content of the commercial assembly devices in the i-th power grid area of the city, and s ih represents the harmonic content of the h-th commercial assembly device in the i-th power grid area of the city, where h represents the number of the commercial assembly device, h = 1, 2,..., r, and r represents the quantity of the commercial assembly devices.

6. The intelligent power grid planning coordination evaluation method according to claim 3, characterized in that The specific analysis method of the environmental quality index of the commercial power grid of each power grid area of the city is: Based on the carried electricity corresponding to the unit tie-line capacity of the commercial power grids in each power grid area of the city obtained, the transformer load rate, and the carbon emission values in each time period, and extracting from the database the reference carried electricity corresponding to the unit tie-line capacity of the commercial power grids in each power grid area of the city, the reference transformer load rate, and the carbon emission reference interval, analyze the environmental quality index of the commercial power grids in each power grid area of the city. Among them, A' i represents the reference carried electricity corresponding to the unit tie-line capacity of the commercial power grid in the i-th power grid area of the city, and A i represents the carried electricity corresponding to the unit tie-line capacity of the commercial power grid in the i-th power grid area of the city, B' i represents the reference transformer load rate interval of the commercial power grid in the i-th power grid area of the city, and B i represents the transformer load rate of the commercial power grid in the i-th power grid area of the city, F' i represents the carbon emission reference value of the commercial power grid in the i-th power grid area of the city, and F in represents the carbon emission reference value of the commercial power grid in the i-th power grid area of the city in the n-th time period, where n represents the number of the time period, n = 1, 2,..., j, and j represents the number of time periods.

7. The intelligent power grid planning coordination evaluation method according to claim 1, characterized in that The specific analysis method of the residential power grid quality index of each power grid area of the city is: Based on the obtained residential data of each power grid area, where the residential data includes: residential electricity consumption, actual electricity load value of residential equipped devices, carrying electricity corresponding to the unit tie line capacity of the residential power grid, transmission rate, and transformer load rate, and extract from the database the intervals that the residential electricity consumption conforms to, the intervals that the electricity load values of residential equipped devices conform to, the intervals that the carrying electricity corresponding to the unit tie line capacity of the residential power grid conforms to, the intervals that the transmission rate conforms to, and the intervals that the transformer load rate conforms to, and then analyze the residential power grid operation index of each power grid area in the city. The specific calculation formula is as follows: D ib represents the b-th residential data of the i-th power grid area in the city, D b ' represents the safety interval of the b-th residential data in the city, b ∈ [1, 5].

8. The intelligent power grid planning coordination evaluation method according to claim 1, characterized in that The specific analysis method of judging whether the layout plan of each power grid area of the city is coordinated is: Based on the commercial power grid operation index of each power grid area in the city and the residential power grid operation index of each area in the city, if It is judged that the operation of the power grid area in the city is not coordinated, and combined with the city's development plan, the power grid area in the city is recorded as a type of power grid function group, where ∧ is a logical symbol, indicating that and, β i '、 It is expressed as the commercial power grid operation index of each power grid area in the city meets the threshold value and the residential power grid operation index of each power grid area in the city meets the threshold value; If then the power grid area of the city is recorded as a secondary power grid functional group, where ∨ is a logical symbol representing "or"; If then the power grid area of the city is recorded as a class-three power grid functional group.

9. The intelligent power grid planning coordination evaluation method according to claim 8, characterized in that The specific analysis method of generating the grade labels of each power grid area of the city and converging the set of grade labels of each power grid area of the city is: Count the first-level labels of each power grid area of the city generated by each first-level power grid function group, count the second-level labels of each power grid area of the city generated by each second-level power grid function group, and count the third-level labels of each power grid area of the city generated by each third-level power grid function group; Count the correction values of the layout plans of each power grid area within the first-level label of each power grid area of the city to generate the layout plan correction set of the first-level label of each power grid area of the city, count the correction values of the layout plans of each power grid area within the second-level label of each power grid area of the city to generate the layout plan correction set of the second-level label of each power grid area of the city, and generate the layout plan correction set of the third-level label of each power grid area of the city in accordance with this method.

10. An intelligent power grid planning coordination evaluation method according to claim 9, characterized in that, A label for each power grid area in the city, a second label for each power grid area in the city, and a third label for each power grid area in the city. Among them, the first label of each power grid area in the city is greater than the second label of each power grid area in the city, and the second label of each power grid area in the city is greater than the third label of each power grid area in the city. The rationality of the layout plan of each power grid area in the first label of each power grid area in the city is relatively low. Increasing the substation layout points and tie lines and increasing the number of daily monitoring devices is beneficial to reducing line losses and improving the flexibility and reliability of the power grid. The rationality of the layout plan of each power grid area in the second label of each power grid area in the city is average and should be maintained according to the historical number of daily monitoring devices. The rationality of the layout plan of each power grid area in the third label of each power grid area in the city is relatively high, and the historical number of daily monitoring devices can be reduced.

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