A planning and design method and system for a substation

Abstract

The present invention provides a planning and design method and system for a substation, which relates to the field of data processing technology. The method includes: building an intelligent substation planning platform; obtaining regional layout information, regional electricity demand information and regional image acquisition results; performing transformer selection analysis on the electricity demand information, identifying substation planning space elements on the regional layout information and regional image acquisition results through a data analysis unit, inputting the regional electricity demand information, transformer selection analysis results and substation planning space element identification results into a planning analysis model, obtaining multiple substation planning schemes for optimal screening, obtaining the optimal substation planning scheme to carry out substation planning in the target area, solving the technical problem of insufficient control over substation planning schemes in the existing technology, resulting in mismatched transformers in the substation, realizing rational and precise control over the substation, and thereby improving the accuracy of transformer selection in the substation.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a planning and design method and system for a substation. Background Art

[0002] Power grid construction is becoming increasingly sophisticated, and reducing operating losses is a key goal of this refined construction. Transformers are numerous and concentrated in distribution networks. Transformer losses are primarily due to inaccurate transformer selection within the distribution network, leading to transformer mismatch and representing a significant portion of distribution network losses. Therefore, reducing transformer operating energy losses within distribution networks is a crucial issue for the refined construction of distribution networks and a topic that requires urgent research. Transformer losses include both no-load and loaded losses, with the total loss rate being related to the transformer's load factor. When transformers are accurately selected within the distribution network, with a load factor between 50% and 75%, the transformers exhibit the lowest loss rate, thus serving as a key factor in transformer station planning and model selection.

[0003] In the past, during the construction of power grids, there was insufficient control over transformer losses and unreasonable planning of transformer substations, which caused some transformers to work in a high-loss state for a long time, wasting a lot of precious energy. In existing cities, the construction of some areas has stabilized, and users' electricity consumption has also shown a strong regularity. In addition, the service life of some transformers is close to their design life and they are facing the task of updating.

[0004] In the prior art, insufficient control over the planning scheme of the substation results in mismatched transformers within the substation, leading to increased losses of the mismatched transformers. Summary of the Invention

[0005] The present application provides a planning and design method and system for a substation, which is used to solve the technical problem in the prior art of insufficient control over the planning scheme of the substation, resulting in mismatched transformers in the substation.

[0006] In view of the above problems, the present application provides a planning and design method and system for a substation.

[0007] In a first aspect, the present application provides a planning and design method for a substation, the method comprising: constructing an intelligent substation planning platform, wherein the intelligent substation planning platform comprises a data acquisition unit, a data analysis unit, and a substation planning unit; collecting information on a target area through the data acquisition unit to obtain regional layout information, regional electricity demand information, and regional image acquisition results; transmitting the regional layout information, the regional electricity demand information, and the regional image acquisition results to the data analysis unit; performing transformer selection analysis on the regional electricity demand information through the data analysis unit to obtain a transformer selection analysis result; performing substation planning spatial element identification on the regional layout information and the regional image acquisition result through the data analysis unit to obtain a substation planning spatial element identification result; the substation planning unit comprises a planning analysis model, inputting the regional electricity demand information, the transformer selection analysis result, and the substation planning spatial element identification result into the planning analysis model to obtain multiple substation planning schemes; performing optimal screening based on the multiple substation planning schemes to obtain an optimal substation planning scheme, and performing substation planning for the target area based on the optimal substation planning scheme.

[0008] In a second aspect, the present application provides a planning and design system for a substation, the system comprising: a platform construction module, the platform construction module being used to construct an intelligent substation planning platform, wherein the intelligent substation planning platform comprises a data acquisition unit, a data analysis unit, and a substation planning unit; an information acquisition module, the information acquisition module being used to collect information on a target area through the data acquisition unit, and obtain regional layout information, regional power demand information, and regional image acquisition results; a transmission module, the transmission module being used to transmit the regional layout information, the regional power demand information, and the regional image acquisition results to the data analysis unit; an analysis result acquisition module, the analysis result acquisition module being used to transform the regional power demand information through the data analysis unit Transformer selection analysis to obtain transformer selection analysis results; an identification result acquisition module, the identification result acquisition module is used to identify the substation planning space elements of the regional layout information and the regional image acquisition results through the data analysis unit, and obtain the substation planning space element identification results; a scheme acquisition module, the scheme acquisition module is used for the substation planning unit to include a planning analysis model, the regional electricity demand information, the transformer selection analysis results, and the substation planning space element identification results are input into the planning analysis model to obtain multiple substation planning schemes; a planning module, the planning module is used to perform optimal screening based on the multiple substation planning schemes to obtain the optimal substation planning scheme, and perform substation planning for the target area based on the optimal substation planning scheme.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] The present application provides a planning and design method for a substation, which relates to the field of data processing technology. It solves the technical problem of insufficient control over the planning scheme of the substation in the existing technology, resulting in mismatched transformers in the substation, and realizes rational and precise control over the substation, thereby improving the accuracy of transformer selection in the substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 A schematic diagram of the planning and design method flow of a substation is provided for this application;

[0012] Figure 2 A schematic diagram of the regional electricity demand information flow in a planning and design method for a substation is provided for this application;

[0013] Figure 3 A schematic diagram of the transformer selection analysis results process in a planning and design method for a substation is provided for this application;

[0014] Figure 4 A schematic diagram of the process of identifying spatial elements of a metropolitan area planning in a metropolitan area planning and design method is provided for this application;

[0015] Figure 5 A schematic diagram of the optimal planning scheme flow in a planning and design method for a substation is provided for this application;

[0016] Figure 6 A schematic diagram of the planning and design system structure of a substation is provided for this application.

[0017] Explanation of the accompanying drawings: platform construction module 1, information collection module 2, transmission module 3, analysis result acquisition module 4, recognition result acquisition module 5, solution acquisition module 6, planning module 7. Implementation Method

[0018] The present application provides a planning and design method for a substation to solve the technical problem in the prior art of insufficient control over the planning scheme of the substation, which leads to mismatched transformers in the substation. Example

[0019] like Figure 1 As shown, an embodiment of the present application provides a method for planning and designing a substation, which is applied to a planning and design system for a substation, and includes:

[0020] Step S100: constructing an intelligent area planning platform, wherein the intelligent area planning platform includes a data collection unit, a data analysis unit, and an area planning unit;

[0021] Specifically, a planning and design method for a metropolitan area provided in an embodiment of the present application is applied to a planning and design system for a metropolitan area. The planning and design system for a metropolitan area is communicatively connected to an image acquisition device, and the image acquisition device is used to acquire spatial parameters of the metropolitan area.

[0022] First, an intelligent substation planning platform is constructed, wherein the constructed intelligent substation planning platform includes a data acquisition unit, a data analysis unit, and a substation planning unit. The data acquisition unit in the intelligent substation planning platform is used to collect regional layout information, power demand information in the region, and regional image acquisition results in the target area within the substation. The data analysis unit in the intelligent substation planning platform is used to analyze and identify the data collected in the data acquisition unit, and generate corresponding analysis and identification results. The substation planning unit in the intelligent substation planning platform is used to integrate the regional power demand information collected in the data acquisition unit with the corresponding analysis and identification results obtained in the data analysis unit, and further obtain corresponding different substation planning schemes, which serve as an important reference for the later realization of substation planning for the target area based on the optimal substation planning scheme.

[0023] Step S200: collecting information on the target area through the data collection unit to obtain regional layout information, regional power demand information and regional image collection results;

[0024] Specifically, based on the data acquisition unit in the constructed intelligent substation planning platform, information is collected on the target area in the substation through the obtained data acquisition unit. The information collection refers to the corresponding collection of the layout information of the transformer in the target area. The regional electricity demand information refers to the demand for electricity by users in the target area, which includes the peak electricity consumption of users in the target area and the time period of users' electricity consumption, etc. The regional image acquisition result refers to the image acquisition of the substation spatial area in the target area through the image acquisition device. Finally, the corresponding regional layout information, regional electricity demand information and regional image acquisition results are obtained through the data acquisition unit in the intelligent substation planning platform, thereby ensuring the realization of substation planning for the target area based on the optimal substation planning scheme.

[0025] Step S300: transmitting the regional layout information, the regional electricity demand information and the regional image acquisition result to the data analysis unit;

[0026] Specifically, after the above-mentioned data acquisition unit collects information on the target area, the obtained regional layout information, regional electricity demand information and regional image acquisition results are transmitted to the data analysis unit in the constructed intelligent substation planning platform. Furthermore, the regional electricity demand information obtained in the target area, that is, the user's demand for electricity, including the peak value of user electricity consumption in the target area and the time period of user electricity consumption, etc., is analyzed by the data analysis unit in the constructed intelligent substation planning platform. On this basis, the selection of the transformer is analyzed to obtain the transformer selection analysis result. Then, the data analysis unit in the constructed intelligent substation planning platform is used to analyze the obtained regional layout information and the obtained regional image acquisition results, that is, the layout information of the transformer in the target area, and the image acquisition device is used to collect images of the substation spatial area to identify the substation planning spatial elements, thereby obtaining the substation planning spatial element identification result, laying a solid foundation for the subsequent realization of substation planning for the target area based on the optimal substation planning scheme.

[0027] Step S400: performing transformer selection analysis on the regional electricity demand information by the data analysis unit to obtain a transformer selection analysis result;

[0028] Specifically, based on the data analysis unit in the constructed intelligent substation planning platform, a transformer selection analysis is conducted on the regional electricity demand information, that is, the user's demand for electricity, which includes the peak power consumption of users in the target area and the time period of user electricity consumption. On this basis, the transformer selection is analyzed, and the optimal load factor, minimum power loss, energy-saving load factor and economic load factor of the transformer are determined through technical analysis and calculation. In addition, the reasonable transformer operation mode and transformer capacity are determined while comprehensively considering the peak power consumption of users in the target area and the time period of user electricity consumption, so as to achieve the economic operation of the transformer, reduce the active power loss of the transformer, and obtain the transformer selection analysis results, which have a restrictive effect on the realization of substation planning for the target area based on the optimal substation planning scheme.

[0029] Step S500: performing area planning spatial element recognition on the area layout information and the area image acquisition result by the data analysis unit to obtain an area planning spatial element recognition result;

[0030] Specifically, based on the data analysis unit in the constructed intelligent substation planning platform, the regional layout information and regional image acquisition results are used to identify the substation planning spatial elements, that is, the layout information of the transformer in the target area, the image acquisition device is used to acquire the image of the substation spatial area, etc. On this basis, the substation planning spatial elements are identified, and the target area image acquisition results are grid-divided, and the image division data information is traversed and convolved with the predetermined convolution feature set obtained based on the preset substation planning spatial obstacle data set. The transformer layout information in the target area is marked based on the image convolution calculation results obtained after the calculation, and finally the substation planning spatial element identification result is obtained, which has a far-reaching impact on the later realization of substation planning for the target area based on the optimal substation planning scheme.

[0031] Step S600: The substation planning unit includes a planning analysis model, and the regional electricity demand information, the transformer selection analysis result, and the substation planning spatial element identification result are input into the planning analysis model to obtain multiple substation planning schemes;

[0032] Specifically, based on the substation planning unit in the constructed intelligent substation planning platform, which includes a planning analysis model, the regional electricity demand information obtained in the data acquisition unit, the transformer selection analysis results obtained by performing transformer selection analysis on the regional electricity demand information in the data analysis unit, and the substation planning space element identification results obtained by performing substation planning space element identification on the regional layout information and regional image acquisition results in the data analysis unit are input together into the planning analysis model in the substation planning unit. After matching and integrating the obtained regional electricity demand information, the obtained transformer selection analysis results, and the obtained substation planning space element identification results, finally, in the target area, the transformer selection analysis is performed for different regional electricity demands and substation planning space element identification results, and multiple corresponding substation planning schemes are output. According to the obtained multiple substation planning schemes, the optimal substation planning scheme is better screened out and substation planning is performed for the target area.

[0033] Step S700: performing optimization screening based on the multiple substation planning schemes to obtain an optimal substation planning scheme, and performing substation planning for the target area based on the optimal substation planning scheme.

[0034] Specifically, based on the multiple substation planning schemes obtained by inputting the regional electricity demand information, transformer selection analysis results, and substation planning spatial element identification results into the planning analysis model, the multiple substation planning schemes are screened for optimization. First, the economic benefits and operational benefits of the multiple substation planning schemes are predicted, and weights are allocated to the predicted economic benefits and operational benefits. According to the allocated weights, the predicted economic benefits and operational benefits are weightedly calculated. On this basis, the multiple substation planning schemes are further screened to obtain the optimal substation planning scheme. Based on the obtained optimal substation planning scheme, a more reasonable substation planning is carried out for the target area.

[0035] Furthermore, the present invention provides a planning and design method and system for a substation, which relates to the field of data processing technology. The method includes: constructing an intelligent substation planning platform, collecting information on the target area through a data acquisition unit, obtaining regional layout information, regional electricity demand information and regional image acquisition results, and transmitting the regional image acquisition results to a data analysis unit, performing transformer selection analysis on the electricity demand information, and obtaining transformer selection analysis results, performing substation planning spatial element identification on the regional layout information and the regional image acquisition results through the data analysis unit, and obtaining substation planning spatial element identification results, inputting the regional electricity demand information, transformer selection analysis results, and substation planning spatial element identification results into a planning analysis model, obtaining multiple substation planning schemes and performing optimal screening, obtaining the optimal substation planning scheme to carry out substation planning for the target area. The present invention solves the technical problem of insufficient control over substation planning schemes in the prior art, which leads to mismatched transformers in the substation, realizes rational and precise control over the substation, and thereby improves the accuracy of transformer selection in the substation.

[0036] Furthermore, if Figure 2 As shown, step S200 of this application also includes:

[0037] Step S210: Dividing the target area based on the area layout information to obtain a plurality of target divided areas;

[0038] Step S220: collecting periodic historical electricity consumption information for the multiple target divided areas to obtain regional periodic electricity consumption distribution;

[0039] Step S230: performing regional electricity demand analysis based on the regional periodic electricity consumption distribution to obtain a regional electricity demand analysis result;

[0040] Step S240: Based on the regional electricity demand analysis result, obtain the regional electricity demand information.

[0041] Specifically, based on the transformer area layout information collected in the target area, the target area is divided, wherein the concentration of the transformer layout can be used as a standard to divide the target area, thereby obtaining a plurality of corresponding target divided areas. Furthermore, periodic historical electricity consumption information is collected for the obtained plurality of target divided areas, wherein the historical electricity consumption information can be periodically collected in units of months, that is, the electricity consumption of users in the target area in that month and the electricity consumption time period of the users in that month are extracted each month, thereby generating a regional periodic electricity consumption distribution based on the extracted electricity consumption of users in the target area in that month and the electricity consumption time period of the users in that month. On this basis, the regional electricity demand analysis is carried out on the obtained regional periodic electricity consumption distribution, wherein the regional electricity demand analysis refers to the electricity consumption decomposition analysis of the electricity consumption of users in the extracted target area in the current month, and the peak value of the user's electricity consumption in the current month and the change curve of the user's electricity consumption in the current month are obtained, as well as the electricity consumption time period decomposition analysis of the user's electricity consumption time period in the current month, and the most intensive electricity consumption time period of the user in the current month and the change curve of the user's electricity consumption time period in the current month are obtained, and the two are integrated to obtain the regional electricity demand analysis result, and based on the obtained regional electricity demand analysis result, the regional electricity demand information is obtained, so as to achieve the technical effect of providing an important basis for the later realization of substation planning for the target area.

[0042] Furthermore, step S230 of the present application includes:

[0043] Step S231: constructing a regional periodic electricity consumption distribution curve based on the regional periodic electricity consumption distribution;

[0044] Step S232: Based on the regional periodic electricity consumption distribution curve, obtain regional electricity consumption mean distribution and regional electricity consumption peak distribution;

[0045] Step S233: obtaining a regional power consumption center based on the regional power consumption peak distribution;

[0046] Step S234: Based on the regional electricity consumption mean distribution, the regional electricity consumption peak distribution, and the regional electricity consumption center, obtain the regional electricity demand analysis result.

[0047] Specifically, based on the regional periodic electricity consumption distribution, a regional periodic electricity consumption distribution curve is constructed, wherein the regional periodic electricity consumption distribution can be based on months, and historical electricity consumption information is periodically collected, that is, each month the electricity consumption of users in the target area in that month and the electricity consumption period of the users in that month are extracted, thereby establishing a rectangular coordinate system, wherein the month is used as the x-axis and the degree is used as the y-axis, and then the monthly electricity consumption of users in the extracted target area is punctuated and connected in the established rectangular coordinate system, thereby generating a regional periodic electricity consumption distribution curve, and according to the generated regional periodic electricity consumption distribution curve line, obtain the mean electricity consumption distribution of users in the target area and the peak electricity consumption distribution of users in the target area, extract the regional electricity peak distribution in the obtained regional periodic electricity consumption distribution curve, and correspond the position of the peak in the regional electricity peak distribution in the target area, integrate all the corresponding positions in the target area, and thus obtain the regional electricity consumption center. Further, summarize and correlate the obtained regional electricity consumption mean distribution, the obtained regional electricity consumption peak distribution, and the obtained regional electricity consumption center, and then obtain the analytical result of the regional electricity demand to ensure the efficiency of substation planning in the target area.

[0048] Furthermore, if Figure 3 As shown, step S400 of this application also includes:

[0049] Step S410: obtaining a transformer demand parameter set based on the regional power demand information;

[0050] Step S420: constructing a transformer selection list, and embedding the transformer selection list into the data analysis unit;

[0051] Step S430: performing a matching analysis on the transformer requirement parameter set based on the transformer selection list to obtain a transformer matching analysis result;

[0052] Step S440: screening the transformer matching analysis results based on matching analysis constraints to obtain an optimal matching analysis result;

[0053] Step S450: Based on the optimal matching analysis result, obtain the transformer selection analysis result.

[0054] Specifically, based on the regional electricity demand information obtained above, the average user electricity consumption and the peak user electricity consumption in the regional electricity demand information are matched one-to-one with the parameters of the required transformer, so as to obtain a transformer demand parameter set, and further construct a transformer selection list, wherein the transformer selection list can be based on transformer capacity, distribution transformer, low-voltage integrated distribution box, incoming line (TN system), incoming line (TT system), outgoing line (TN system), outgoing line (TT system), metering current transformer, outgoing cable terminal (TN), equipment wire clamp-transformer pole wire clamp, drop-out fuse, etc. as vertical columns, and model and material code as horizontal columns for corresponding construction, wherein the obtained transformer selection list includes multiple transformer working parameter sets and multiple transformer loss parameter sets, and then the transformer demand parameter set is matched with A plurality of transformer operating parameter sets are evaluated for adaptability, and a plurality of transformer loss parameter sets are matched with the obtained adaptability evaluation results. Furthermore, the obtained adaptability evaluation results and the obtained adaptation loss parameter sets are weighted, and a weighted calculation is performed based on the weights assigned to the obtained adaptability evaluation results and the obtained adaptation loss parameter sets, thereby obtaining transformer matching analysis results, and screening the obtained transformer matching analysis results based on matching analysis constraints, wherein the obtained matching analysis constraints are preset by relevant technical personnel based on the parameter constraint data of the transformer, thereby obtaining the preferred matching analysis results after screening by the matching analysis constraints, and based on the obtained preferred matching analysis results, obtaining the transformer selection analysis results, and ultimately achieving the technical effect of providing a reference for substation planning in the target area.

[0055] Furthermore, step S430 of this application includes:

[0056] Step S431: the transformer selection list includes multiple transformer data sets, wherein the multiple transformer data sets include multiple transformer operating parameter sets and multiple transformer loss parameter sets;

[0057] Step S432: performing a compatibility evaluation on the transformer demand parameter set and the plurality of transformer operating parameter sets to obtain a compatibility evaluation result;

[0058] Step S433: matching the multiple transformer loss parameter sets based on the adaptability evaluation result to obtain an adapted loss parameter set;

[0059] Step S434: obtaining a first weight distribution condition, wherein the first weight distribution condition includes a fitness weight coefficient and a loss weight coefficient;

[0060] Step S435: performing weighted calculation on the adaptability evaluation result and the adaptation loss parameter set based on the first weight distribution condition to obtain the transformer matching analysis result.

[0061] Specifically, based on the above-mentioned transformer selection list, it contains multiple transformer data sets, and in the multiple transformer data sets contained therein, there are multiple transformer working parameter sets and multiple transformer loss parameter sets, wherein the multiple transformer working parameter sets can be the transformer model, the rated capacity, rated voltage, rated current, rated frequency and temperature rise of the transformer, etc., and the multiple transformer loss parameter sets can be no-load loss, load loss, etc., and further, the transformer demand parameter set obtained based on the regional electricity demand information and the multiple transformer working parameters in the multiple transformer data sets are subjected to adaptability evaluation, and the corresponding adaptability evaluation results of the required transformer parameter set and the multiple transformer working parameter sets are obtained, and based on the obtained adaptability evaluation results, the multiple transformer loss parameters in the multiple transformer working parameter sets are evaluated. The parameter set is matched to obtain the corresponding adaptation loss parameter set, and a first weight distribution is performed on the adaptation evaluation result and the adaptation loss parameter set, wherein the weight distribution condition includes the adaptation weight coefficient and the loss weight coefficient, and the obtained adaptation evaluation result and the obtained adaptation loss parameter set are weighted calculated according to the first weight distribution condition, wherein the weighted calculation needs to be based on a large amount of data aggregation and accurate determination of the weights before targeted calculation. For example, the weight ratio of the adaptation evaluation result and the adaptation loss parameter set can be the adaptation weight coefficient: the loss weight coefficient is 6:4, then the weighted calculation process is respectively adaptation evaluation result*0.6, adaptation loss parameter set*0.4, and the final value of the transformer matching analysis result is obtained according to the weighted calculation result, so as to achieve the technical effect of substation planning for the target area.

[0062] Furthermore, if Figure 4 As shown, step S500 of this application also includes:

[0063] Step S510: obtaining a predetermined convolution feature set based on a preset area planning spatial obstacle dataset;

[0064] Step S520: performing grid division on the regional image acquisition result to obtain image division data information;

[0065] Step S530: performing a traversal convolution calculation on the image segmentation data information based on the predetermined convolution feature set to obtain an image convolution calculation result;

[0066] Step S540: Marking the regional layout information based on the image convolution calculation result to obtain the identification result of the substation planning space element.

[0067] Specifically, the spatial obstacle dataset of the substation planning is preset to obtain a predetermined convolution feature set, wherein the predetermined convolution feature set is the area in the substation planning space where it is inconvenient or impossible to install the transformer, and the obtained regional image acquisition results are gridded into equal blocks to obtain image division data information, and then traversed, identified and screened according to the image information captured by each equal block. In the process of image division data recognition of the predetermined convolution feature set, it can be achieved by comparing convolution kernel features. For example, according to the regional image acquisition result obtained by the image acquisition device, on the basis of the obtained regional image acquisition result, the regional image acquisition result is divided into equal parts, and at the same time, the first area in the equal division of the regional image acquisition result is set as the starting point, that is, the first area obtained. The area is marked as the zero-point area, and then traversal is performed starting from the first area. The information obtained in each area is matched with the spatial obstacle features of the substation planning in the predetermined convolution feature set, so as to generate the spatial obstacle information of the target substation planning. Subsequently, according to the changes in the regional image acquisition results obtained by real-time image acquisition of the target area by the image acquisition device, the zero-point position is used as the reference point, and the change information is marked and recorded. Then, by marking and partitioning the area, the regional image acquisition results obtained by real-time image acquisition are regionally partitioned and encoded, so as to obtain the image convolution calculation results, and further mark the obtained image volume and calculation results in the obtained regional layout information, so as to improve the accuracy of subsequent judgment of whether there is obstacle information in the target area, thereby achieving the accuracy of substation planning for the target area.

[0068] Furthermore, if Figure 5 As shown, step S700 of this application also includes:

[0069] Step S710: performing economic benefit forecasting based on the multiple substation planning schemes to obtain multiple economic benefit forecasting results;

[0070] Step S720: performing operation benefit prediction based on the multiple substation planning schemes to obtain multiple operation benefit prediction results;

[0071] Step S730: obtaining a second weight distribution condition;

[0072] Step S740: performing weighted calculation on the multiple economic benefit forecast results and the multiple operational benefit forecast results based on the second weight distribution condition to obtain multiple scheme evaluation results;

[0073] Step S750: Screening the multiple substation planning schemes based on the multiple scheme evaluation results to obtain the optimal substation planning scheme.

[0074] Specifically, based on the obtained multiple substation planning schemes, economic benefit forecasts are conducted on the obtained multiple substation planning schemes, wherein the economic benefit forecast refers to the efficiency evaluation of economy and transformer allocation and transformer utilization, thereby obtaining multiple economic benefit forecast results, and then operation benefit forecasts are conducted on the obtained multiple substation planning schemes, wherein the operation benefit forecast refers to selecting transformers in the distribution network so that the lower the loss rate of the transformer, the higher the operation benefit, thereby obtaining multiple operation benefit forecast results, and at the same time, a second weight distribution is conducted on the multiple economic benefit forecast results and the multiple operation benefit forecast results, and a weighted calculation is performed on the obtained multiple economic benefit forecast results and the obtained multiple operation benefit forecast results according to the second weight distribution condition. Calculation, wherein weighted calculation needs to be based on a large amount of data aggregation and accurate determination of weights before targeted calculation. For example, the weight ratio of multiple economic benefit forecast results to multiple operating benefit forecast results can be the first influence coefficient: the second influence coefficient is 3:7, then the weighted calculation process is the first influence parameter * 0.3, the second influence parameter * 0.7, and multiple scheme evaluation results are obtained according to the weighted calculation results. Furthermore, based on the obtained multiple scheme evaluation results, multiple substation planning schemes are screened and optimized, that is, the multiple scheme evaluation results have the highest matching degree with the multiple substation planning schemes, and finally the optimal substation planning scheme is generated, and the technical effect of substation planning for the target area is achieved through the most effective planning scheme. Example

[0075] Based on the same inventive concept as the planning and design method of a station area in the above embodiment, Figure 6 As shown, the present application provides a planning and design system for a substation, the system comprising:

[0076] Platform construction module 1, the platform construction module 1 is used to build an intelligent area planning platform, wherein the intelligent area planning platform includes a data acquisition unit, a data analysis unit, and an area planning unit;

[0077] An information acquisition module 2 is configured to acquire information about a target area through the data acquisition unit, and obtain regional layout information, regional power demand information, and regional image acquisition results;

[0078] a transmission module 3, configured to transmit the regional layout information, the regional electricity demand information, and the regional image acquisition result to the data analysis unit;

[0079] An analysis result obtaining module 4 is configured to perform a transformer selection analysis on the regional electricity demand information through the data analysis unit to obtain a transformer selection analysis result;

[0080] The recognition result obtaining module 5 is used to identify the spatial elements of the substation planning on the regional layout information and the regional image acquisition results through the data analysis unit to obtain the recognition results of the spatial elements of the substation planning;

[0081] A scheme obtaining module 6 is used for the substation planning unit to include a planning analysis model, inputting the regional electricity demand information, the transformer selection analysis results, and the substation planning spatial element identification results into the planning analysis model to obtain multiple substation planning schemes;

[0082] The planning module 7 is used to perform optimal screening based on the multiple substation planning schemes to obtain the optimal substation planning scheme, and perform substation planning for the target area based on the optimal substation planning scheme.

[0083] Furthermore, the system also includes:

[0084] Multiple target area division modules, the multiple target area division modules are used to divide the target area based on the area layout information to obtain multiple target area divisions;

[0085] A periodic power consumption distribution module is used to collect periodic historical power consumption information of the multiple target divided areas to obtain regional periodic power consumption distribution;

[0086] An analysis result module is used to analyze regional electricity demand based on the regional periodic electricity consumption distribution to obtain regional electricity demand analysis results;

[0087] The regional electricity demand information module is used to obtain the regional electricity demand information based on the regional electricity demand analysis result.

[0088] Furthermore, the system also includes:

[0089] A curve construction module, the curve construction module is used to construct a regional periodic electricity consumption distribution curve based on the regional periodic electricity consumption distribution;

[0090] A power consumption peak distribution module, which is used to obtain regional power consumption mean distribution and regional power consumption peak distribution based on the regional periodic power consumption distribution curve;

[0091] A power consumption center module, which is used to obtain a regional power consumption center based on the regional power consumption peak distribution;

[0092] The regional electricity demand analysis module is used to obtain the regional electricity demand analysis result based on the regional electricity consumption mean distribution, the regional electricity consumption peak distribution, and the regional electricity consumption center.

[0093] Furthermore, the system also includes:

[0094] A parameter set module, the parameter set module is used to obtain a transformer demand parameter set based on the regional power demand information;

[0095] An embedding module, the embedding module is used to construct a transformer selection list and embed the transformer selection list into the data analysis unit;

[0096] A transformer matching analysis module is used to perform a matching analysis on the transformer requirement parameter set based on the transformer selection list to obtain a transformer matching analysis result;

[0097] An optimal matching analysis module is used to screen the transformer matching analysis results based on matching analysis constraints to obtain optimal matching analysis results;

[0098] The transformer selection analysis module is used to obtain the transformer selection analysis result based on the optimal matching analysis result.

[0099] Furthermore, the system also includes:

[0100] A data set module, wherein the data set module is used for the transformer selection list to include multiple transformer data sets, wherein the multiple transformer data sets include multiple transformer operating parameter sets and multiple transformer loss parameter sets;

[0101] A suitability evaluation module is used to perform suitability evaluation on the transformer demand parameter set and the plurality of transformer operating parameter sets to obtain a suitability evaluation result;

[0102] A matching module, the matching module is used to match the multiple transformer loss parameter sets based on the adaptability evaluation result to obtain an adapted loss parameter set;

[0103] A first weight allocation module, the first weight allocation module is used to obtain a first weight allocation condition, wherein the first weight allocation condition includes a fitness weight coefficient and a loss weight coefficient;

[0104] A weighted calculation module is used to perform weighted calculation on the adaptability evaluation result and the adaptation loss parameter set based on the first weight distribution condition to obtain the transformer matching analysis result.

[0105] Furthermore, the system also includes:

[0106] A predetermined convolution feature set module is used to obtain a predetermined convolution feature set based on a preset area planning spatial obstacle dataset;

[0107] An image division module is used to perform grid division on the regional image acquisition result to obtain image division data information;

[0108] A convolution calculation module, configured to perform a traversal convolution calculation on the image segmentation data information based on the predetermined convolution feature set to obtain an image convolution calculation result;

[0109] The marking module is used to mark the regional layout information based on the image convolution calculation result to obtain the identification result of the station area planning space element.

[0110] Furthermore, the system also includes:

[0111] An economic benefit prediction module, which is used to perform economic benefit prediction based on the multiple substation planning schemes to obtain multiple economic benefit prediction results;

[0112] An operation benefit prediction module is used to perform operation benefit prediction based on the multiple substation planning schemes to obtain multiple operation benefit prediction results;

[0113] A second weight allocation module, the second weight allocation module is used to obtain a second weight allocation condition;

[0114] a plurality of scheme evaluation modules, the plurality of scheme evaluation modules being configured to perform weighted calculation on the plurality of economic benefit forecast results and the plurality of operational benefit forecast results based on the second weight distribution condition to obtain a plurality of scheme evaluation results;

[0115] The screening module is used to screen the multiple substation planning schemes based on the multiple scheme evaluation results to obtain the optimal substation planning scheme.

[0116] Through the detailed description of a planning and design method for a substation in the above specification, those skilled in the art can clearly understand the planning and design method and system for a substation in this embodiment. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0117] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A planning and design method for a substation, characterized in that: The method is applied to a planning and design system for a substation, and the method includes: Constructing an intelligent area planning platform, wherein the intelligent area planning platform includes a data collection unit, a data analysis unit, and an area planning unit; The data acquisition unit collects information about the target area to obtain regional layout information, regional power demand information and regional image acquisition results; transmitting the regional layout information, the regional electricity demand information, and the regional image acquisition result to the data analysis unit; Performing transformer selection analysis on the regional electricity demand information by the data analysis unit to obtain a transformer selection analysis result; The data analysis unit performs area planning spatial element recognition on the area layout information and the area image acquisition result to obtain an area planning spatial element recognition result; The substation planning unit includes a planning analysis model, which inputs the regional electricity demand information, the transformer selection analysis results, and the substation planning spatial element identification results into the planning analysis model to obtain multiple substation planning schemes; Performing optimization screening based on the multiple substation planning schemes to obtain an optimal substation planning scheme, and performing substation planning for the target area based on the optimal substation planning scheme; The method of obtaining the identification result of the area planning spatial elements further includes: Based on the preset area planning spatial obstacle dataset, a predetermined convolution feature set is obtained; Performing grid division on the image acquisition result of the region to obtain image division data information; Performing a traversal convolution calculation on the image segmentation data information based on the predetermined convolution feature set to obtain an image convolution calculation result; The regional layout information is marked based on the image convolution calculation result to obtain the identification result of the substation planning space element.

2. The method according to claim 1, wherein The method further comprises: Dividing the target area based on the area layout information to obtain a plurality of target divided areas; Collecting periodic historical electricity consumption information for the multiple target divided areas to obtain regional periodic electricity consumption distribution; Performing regional electricity demand analysis based on the regional periodic electricity consumption distribution to obtain regional electricity demand analysis results; Based on the regional electricity demand analysis result, the regional electricity demand information is obtained.

3. The method according to claim 2, wherein The method of obtaining the regional electricity demand analysis result further includes: Based on the regional periodic electricity consumption distribution, constructing a regional periodic electricity consumption distribution curve; Based on the regional periodic electricity consumption distribution curve, obtaining regional electricity consumption mean distribution and regional electricity consumption peak distribution; Obtaining a regional power consumption center based on the regional power consumption peak distribution; Based on the regional electricity consumption mean distribution, the regional electricity consumption peak distribution, and the regional electricity consumption center, the regional electricity demand analysis result is obtained.

4. The method according to claim 1, wherein The method of obtaining the transformer selection analysis result further includes: Based on the regional electricity demand information, obtaining a transformer demand parameter set; Constructing a transformer selection list, and embedding the transformer selection list into the data analysis unit; Performing a matching analysis on the transformer requirement parameter set based on the transformer selection list to obtain a transformer matching analysis result; Screening the transformer matching analysis results based on matching analysis constraints to obtain optimal matching analysis results; Based on the optimal matching analysis result, the transformer selection analysis result is obtained.

5. The method according to claim 4, wherein The method of obtaining the transformer matching analysis result further includes: The transformer selection list includes a plurality of transformer data sets, wherein the plurality of transformer data sets include a plurality of transformer operating parameter sets and a plurality of transformer loss parameter sets; Performing a compatibility evaluation on the transformer demand parameter set and the plurality of transformer operating parameter sets to obtain a compatibility evaluation result; Matching the multiple transformer loss parameter sets based on the adaptability evaluation result to obtain an adapted loss parameter set; Obtaining a first weight distribution condition, wherein the first weight distribution condition includes a fitness weight coefficient and a loss weight coefficient; The adaptability evaluation result and the adaptation loss parameter set are weightedly calculated based on the first weight distribution condition to obtain the transformer matching analysis result.

6. The method according to claim 1, wherein To obtain an optimal station area planning scheme, the method further includes: Perform economic benefit forecasting based on the multiple substation planning schemes to obtain multiple economic benefit forecasting results; Performing an operation benefit forecast based on the multiple substation planning schemes to obtain multiple operation benefit forecast results; Obtaining a second weight distribution condition; Performing weighted calculation on the multiple economic benefit forecast results and the multiple operational benefit forecast results based on the second weight distribution condition to obtain multiple scheme evaluation results; The multiple substation planning schemes are screened based on the multiple scheme evaluation results to obtain the optimal substation planning scheme.

7. A planning and design system for a substation, characterized in that: The system comprises: A platform construction module, wherein the platform construction module is used to construct an intelligent area planning platform, wherein the intelligent area planning platform includes a data acquisition unit, a data analysis unit, and an area planning unit; An information collection module, configured to collect information about the target area through the data collection unit to obtain regional layout information, regional power demand information, and regional image collection results; a transmission module, configured to transmit the regional layout information, the regional electricity demand information, and the regional image acquisition result to the data analysis unit; An analysis result obtaining module, configured to perform transformer selection analysis on the regional electricity demand information through the data analysis unit to obtain a transformer selection analysis result; An identification result obtaining module, wherein the identification result obtaining module is used to identify the spatial elements of the substation planning on the regional layout information and the regional image acquisition result through the data analysis unit, and obtain the identification result of the spatial elements of the substation planning; A scheme acquisition module, wherein the scheme acquisition module is used for the substation planning unit to include a planning analysis model, inputting the regional electricity demand information, the transformer selection analysis results, and the substation planning spatial element identification results into the planning analysis model to obtain multiple substation planning schemes; A planning module, the planning module is used to perform optimization screening based on the multiple station area planning schemes, obtain the optimal station area planning scheme, and perform station area planning for the target area based on the optimal station area planning scheme; The system also includes: A predetermined convolution feature set module is used to obtain a predetermined convolution feature set based on a preset area planning spatial obstacle dataset; An image division module is used to perform grid division on the regional image acquisition result to obtain image division data information; A convolution calculation module, configured to perform a traversal convolution calculation on the image segmentation data information based on the predetermined convolution feature set to obtain an image convolution calculation result; The marking module is used to mark the regional layout information based on the image convolution calculation result to obtain the identification result of the station area planning space element.

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