CN112132327A - Multi-source data fusion-oriented intelligent planning system for power distribution network - Google Patents

Multi-source data fusion-oriented intelligent planning system for power distribution network Download PDF

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CN112132327A
CN112132327A CN202010895061.4A CN202010895061A CN112132327A CN 112132327 A CN112132327 A CN 112132327A CN 202010895061 A CN202010895061 A CN 202010895061A CN 112132327 A CN112132327 A CN 112132327A
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赵宏大
陈琛
王哲
朱铭霞
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Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co Ltd
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Abstract

The invention relates to the technical field of power systems, in particular to a multi-source data fusion-oriented power distribution network intelligent planning system, which comprises a data acquisition module, a region division module, a current situation analysis module, a load prediction module, a power balance module, a unit system planning module, a scheme comparison module and a planning project library module, wherein advanced information communication technology is fully utilized to manufacture a power distribution network intelligent planning system with integrated figures, online interaction and intelligent high efficiency, intelligent region statistics, intelligent diagnosis analysis, intelligent scheme checking and intelligent scheme recommendation are realized, the visualization, online and intelligent operation of the whole power distribution network unit system planning service flow is promoted, and the efficiency and quality of planning work are improved; by means of a planning algorithm, information such as power grid resources, geographic terrains, corridor resources, environmental topics, local planning and city layout is widely fused by taking a power supply unit of the power distribution network as a caliber, overall consideration and comprehensive calculation are conducted, and scientificity and rationality of power distribution network planning are improved.

Description

Multi-source data fusion-oriented intelligent planning system for power distribution network
Technical Field
The invention relates to the technical field of power systems, in particular to a power distribution network intelligent planning system for multi-source data fusion.
Background
Along with the continuous development of social economy, the scale of the power distribution network is increasingly large and complex, the problems of power supply area overlapping, boundary blurring, wiring disorder, disordered contact, power supply cross roundabout and the like are gradually highlighted, the power supply requirements of different areas, different power consumption properties, different users and different power supply reliability requirements are more and more difficult to meet, how to realize differentiated planning is the key of power distribution network planning, and higher requirements are provided for planning concepts and planning software.
Meanwhile, the current economic form is also rapidly changing, a batch of novel internet technologies such as big data, internet of things, cloud computing and artificial intelligence are developed at a high speed, and the technology is deeply integrated with the traditional industry, so that important development opportunities are brought to the construction and development of the power distribution network, and meanwhile, a huge challenge is brought to the planning work of the power distribution network.
At present, the development of power distribution network planning service still has a plurality of defects. The scale of the power distribution network is increasingly large and complex, social and economic development differentiation of each region is obvious, power supply requirements of different regions, different power utilization properties, different users and different power supply reliability requirements are more and more difficult to meet, and the adoption of grid unit planning is the key for realizing the differentiated planning of the power distribution network; the power distribution network planning work is heavy, the traditional working mode only can provide partial quantitative analysis and calculation, the planning scheme is mainly made by depending on the knowledge and experience of planning personnel, the time and the labor are consumed, the working quality is difficult to guarantee, the innovative thinking is urgently needed, and the realization of the on-line planning service is accelerated; distribution network planning work does not comprehensively and comprehensively consider information of corridor resources, geographic terrains, sensitive areas, local planning, city layout and the like, automation and intelligence levels are low, and further improvement of planning work is difficult to support.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the utility model provides a distribution network intelligent planning system towards multisource data fusion.
In order to solve the technical problems, the invention adopts the technical scheme that:
the power distribution network intelligent planning system oriented to multi-source data fusion comprises a data acquisition module, a region division module, a current situation analysis module, a load prediction module, an electric power balance module, a unit system planning module, a scheme comparison module and a planning project library module;
the data acquisition module is used for importing data required by unit system planning by means of power distribution network planning resource market according to the requirements of the unit system planning service of the power distribution network;
the region division module is used for maintaining and managing power grid equipment and power users in the district by taking administrative districts as boundaries in the power supply range of each existing power supply enterprise, and further dividing the power supply area into three layers of power supply subareas, power supply grids and power supply units;
the current situation analysis module is used for carrying out classification and systematic diagnosis and analysis on the structure, equipment level, power supply capacity, intellectualization and green development of the power grid in combination with the characteristics of the power distribution network, searching problems existing in the current situation power grid from various analyses, summarizing and summarizing the problems found in the current situation analysis link according to a problem classification principle, and establishing a current situation problem library;
the load prediction module is used for adopting a method suitable for unit load prediction aiming at the characteristics of power distribution network unit system planning and predicting the load in the near-middle period by adopting a method of combining a natural growth rate with a new increment point load;
the power balance module is used for determining the power supply capacity requirement and the number of lines based on the recent load prediction result;
the unit system planning module is used for planning a power distribution network power supply unit network frame, and particularly, based on the current network frame, considering the current channel resources and the feasible channel resources in a long term, combining the distribution points of the transformer substation and the space load prediction results, and forming an implementable, differentiated and standardized target network frame according to different requirements of different power supply areas;
the scheme comparison and selection module is used for performing comparison and selection evaluation on each planning scheme formed by unit planning, performing planning scheme adaptability evaluation on the aspects of power supply capacity, power supply reliability, operation efficiency and economy based on power distribution network simulation calculation, intelligently evaluating the quality of each scheme through technical and economic comparison and selection, recommending an optimal scheme, and automatically forming an album and a planning text;
and the planning project library module is used for displaying and positioning annual planning projects on the target net rack by associating each power grid device with the project in the planning scheme and sequencing according to the importance of the project.
The invention has the beneficial effects that:
according to the intelligent planning system for the power distribution network facing to the multi-source data fusion, provided by the invention, the advanced information communication technology is fully utilized, the intelligent planning system for the power distribution network facing to the multi-source data fusion is integrated in the number of pictures, is interactive online and is intelligent and efficient, intelligent region statistics, intelligent diagnosis analysis, intelligent scheme checking and intelligent scheme recommendation are realized, the visualization, online and intelligent operation of the whole service flow of unit planning of the power distribution network is promoted, and the efficiency and quality of planning work are improved; by a planning algorithm, information such as power grid resources, geographic landforms, corridor resources, environmental topics, local planning, city layout and the like is widely fused by taking a power supply unit of the power distribution network as a caliber, overall consideration and comprehensive calculation are carried out, and the scientificity and the rationality of power distribution network planning are improved; the closed-loop management of problem finding, problem analysis, problem treatment and optimization schemes is emphasized, a problem classification system is established, and each unit is accurately positioned, so that low investment benefit is avoided from a planning source, and the project investment is converted into accurate investment.
Drawings
Fig. 1 is a schematic structural diagram of a power distribution network intelligent planning system for multi-source data fusion according to the present invention;
FIG. 2 is a business flow diagram of a region division module of the multi-source data fusion-oriented power distribution network intelligent planning system of the invention;
FIG. 3 is a schematic diagram of problem classification of a multi-source data fusion-oriented power distribution network intelligent planning system according to the invention;
FIG. 4 is a schematic diagram of a system hierarchical design of the multi-source data fusion-oriented power distribution network intelligent planning system of the invention;
description of reference numerals:
1. a data acquisition module; 2. a region dividing module; 3. a status quo analysis module; 4. a load prediction module; 5. a power balancing module; 6. a unit system planning module; 7. a scheme comparing and selecting module; 8. and the planning project library module.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
In order to realize the differentiated power distribution network planning, the power distribution network intelligent planning research application oriented to multi-source data fusion adopts power distribution network unit system planning as the core construction content of the intelligent planning research application, and realizes the overall fine planning and lean management of the power distribution network through the detailed planning of specific power supply units, and mainly comprises service points such as data acquisition, area division, current situation analysis, load prediction, power balance, scheme design and comparison selection, planning project library interaction and presentation and the like.
Referring to fig. 1, the multi-source data fusion-oriented power distribution network intelligent planning system provided by the invention comprises a data acquisition module 1, an area division module 2, a current situation analysis module 3, a load prediction module 4, an electric power balance module 5, a unit system planning module 6, a scheme comparison module 7 and a planning project library module 8;
the data acquisition module 1 is used for importing data required by unit system planning by means of power distribution network planning resource market according to the requirements of the unit system planning service of the power distribution network;
in this embodiment, the data in the data acquisition module includes standing book data, GIS coordinate data, topology data, and operation data; and acquiring detailed government prospect year-controlled planning data by combining with a construction project in the government and enterprise data. The data acquisition module is also used for checking and repairing data, simplifying a power grid and importing a control and regulation diagram, and matching and managing the data to form power distribution network planning mature data which can be continuously updated and used and can meet planning service requirements.
Namely, the basic functions of the data acquisition module comprise data import, control map import, data check and repair and power grid simplification.
And data import, namely accessing GIS platform data containing a grid structure, topological information and geographic information through a data warehouse, accessing data information except the grid structure, including ledger data, acquisition data, scheduling state and the like, and accessing external data of state network enterprises, such as administrative area planning data, power plant data, social and economic data and the like, through a mode of platform import or entry in government and enterprise data. Meanwhile, the data version can select the historical version data which is imported into the system as the blueprint to finish the subsequent planning business.
And data checking and repairing, namely matching and fusing the accessed data and the power grid network frame, and comprehensively checking and processing the data after fusion. Such as data correspondence verification, logical relationship verification, data attribute verification, topology verification, and other verification and corresponding repair functions. And in the verification result, the data with definite repair rules are repaired in an automatic repair mode, and the data with complicated conditions and needing to be verified and investigated are repaired in a manual repair mode. And after the data are fused and repaired, the current power grid data meeting the planning requirement are formed.
The power grid is simplified, and because the attention angle of a grid structure required by planning is different from the attention angle of the power grid operated in the current situation, equipment (such as grounding devices, common towers and the like) which is not concerned by the planning specialty is simplified and operated in order to improve data display and analysis performance. And forming a simplified state power grid required by planning after extraction from the power grid GIS platform.
The functional division shows that the grid structure data of the grid GIS platform is the key and core of all data of the power distribution grid unit system planning, and the professional business data of a company needs to be comprehensively collected and arranged by taking the existing grid resource data of the grid GIS platform as a frame, so that the mature data capable of covering the power distribution grid unit system planning full business is formed, and a foundation is laid for further advanced analysis and use of a power grid.
The region division module 2 is used for maintaining and managing power grid equipment and power users in the district by taking administrative districts as boundaries in the power supply range of each existing power supply enterprise, and further dividing the power supply range into three layers of power supply subareas, power supply grids and power supply units;
in this embodiment, the division of the power supply units of the power distribution network is global system work, and the scientific division needs to be realized according to the principle of 'resource planning, size, degree, clear wiring, power supply nearby and transition order' before the distribution network planning is completed, and the analysis and the comprehensive consideration are performed from multiple dimensions such as space and power grid. The spatial dimension refers to objective conditions such as administrative divisions, geographical topography, land forms, traffic roads, jurisdictions and the like which need to be reasonably considered. The power grid dimension refers to the consideration of factors such as the current situation of a power grid, power distribution, the jurisdiction range of a power supply station, a grid structure, channel resources and the like, and the factors supplement each other and are inseparable.
The power supply range of each existing power supply enterprise is basically defined by administrative districts, maintenance management is carried out on power grid equipment, power users and the like in the district, and the power supply enterprise is further divided into three levels of power supply subareas, power supply grids and power supply units on the basis, wherein the main division mode is as follows:
(1) and (3) power supply partitioning: the power supply subarea consists of power supply grids, and generally, city areas and counties of administrative departments are used as one power supply subarea.
(2) Power grid: the power supply grid consists of power supply units, and should not cross power supply areas (A-E) and should not cross 220kV power supply subareas. For convenience of construction and maintenance, the power grid is divided into independent power grids according to the administrative villages, towns and regions, and can also be used as a power grid according to the jurisdiction range of a power supply business department (power supply station).
(3) A power supply unit: the size principle of the power supply unit should be suitable for 6-8 lines, the boundary is clear, the power supply management range cannot be crossed, and the power supply subareas and the power supply grids cannot be crossed. The power supply unit is reasonably divided according to natural geographical layout of streets, rivers, mountainous areas and the like, is not suitable for crossing expressways and railways, and blocks with the same land property are divided in the same power supply unit as much as possible.
In this embodiment, the division of the power supply units of the power distribution network needs to be combined with power grid and space information, a visualization engine is utilized, the division is performed according to three levels of power supply partitions, power supply grids and power supply units, the principle of 'resource overall planning, size degree, clear wiring, nearby power supply and ordered transition' is complied with, and specific function points include partition drawing, grid drawing, unit drawing, region management, region modification, deletion, splitting and merging and region relation maintenance.
Basis of region division
1) And (3) overall resource planning, wherein the influence of distribution positions, capacity sizes, interval resources and the like of the transformer substation is considered in regional division, and optimization suggestions can be provided for the planning of a superior power grid if necessary. In addition, the influence of channel resources should be considered, and the partitioning result should be optimally adjusted according to the use situation of the channel resources.
2) The size is certain, and the power supply subareas are divided according to the boundaries of large administrative districts of urban areas, suburbs and counties; the power supply grids are divided according to administrative (district, town, village) boundaries; the size of the power supply unit of the power distribution network in a developed area is preferably 6-8 loops, and the power supply unit of the power distribution network in a less developed area can be divided by administrative (village and street) boundaries.
3) The boundary is clear, the power supply subareas and the grids are coordinated with municipal planning subarea fragments, and the power supply grids are not suitable for crossing the municipal planning subareas and the control rule boundaries; the power supply units are reasonably divided according to natural geographical layout of streets, bridges, rivers, hills, lakes and the like, and are not suitable for crossing highways, railways and rivers.
4) And (5) supplying power nearby, and taking the electrical distance as a basis for judging the distance of the power supply.
5) The transition is orderly, the region division is defined once according to the perspective, and no adjustment is generally made if the detailed control planning and the upper power supply point change are available. For the power supply unit, the requirements of economy and power supply reliability need to be combined, the smooth transition of the planning construction of the power distribution network is considered, part of the power supply units can be integrated, and the planning construction scheme is considered comprehensively.
(II) Business Process architecture
As shown in fig. 2, the division of each stage of power supply area is a scientific engineering, and the actual division flow, taking the division flow of the power supply unit as an example, is divided into three stages, namely a preparation stage, a division stage and a verification stage.
1) A preparation stage, which is mainly to plan a channel for the current situation of the area to form a preliminary target net rack;
2) a dividing stage, namely performing unit division on the region according to a dividing principle to form a primary dividing result;
3) and in the checking stage, the scientificity of the primary division is checked through load checking, and finally the division of the power supply units of the power distribution network is completed.
The project needs to fully understand the work of each stage in the actual operation process, and provides the following main functions to complete the division of each stage of power supply area.
(III) functional description of the subject
1) The method comprises the steps of area drawing, including partition drawing, grid drawing and unit drawing, wherein corresponding models need to be created, and mainly comprises power supply partitions, power supply grids and power supply units, relevant drawing specifications and primitive style specifications (including boundary line styles, filling styles, transparency and the like) are made by using a visualization engine, grid drawing tools are provided, and the grid drawing tools comprise capturing, recording (the grid relation needs to be checked when recording, if the grid relation cannot be crossed, overlapped, nested and the like), relation maintenance (the relation between power supply grids and the affiliated power supply partitions is recorded and maintained, the relation between the affiliated power supply grids needs to be maintained by the power supply units and the like), power grid relation processing (power grid equipment contained in the recorded power supply grids) and the like.
2) And the region management step comprises the steps of combing the relations among administrative regions, power supply partitions, power supply grids, power supply units, current state net racks and the like, establishing the relations among the administrative regions, the power supply partitions, the power supply grids, the power supply units, the current state net racks and the like, including the relations of inclusion, intersection, overlapping, nesting and the like, and performing associated maintenance, inquiry, management and the like among the regions through the related relations to form a three-level tree-shaped management structure of the power supply partitions, the power supply grids and the.
3) Region modification
And editing the drawn partitions, grids and cells, wherein the editing operation comprises boundary editing, property change, relationship maintenance and the like.
4) Region splitting
Splitting a specific partition, a grid and a unit to generate more than 2 regions of the same type, supporting the division of cutting lines or capturing geographical background streets, rivers and high-speed rails in the regions, and generating the region interval according to a tangent buffer range (the buffer value can be set) after the division, wherein various conditions of the tangent lines, such as intersection points, side lines and the like, need to be considered.
5) Region merging
And carrying out merging operation on the two selected areas with the same level, taking the actual conditions of the properties, the adjacency and the like of the areas into consideration, carrying out logic judgment on the merging of the areas, generating a new area corresponding to the area meeting the merging condition, and endowing the new area with attributes according to specific conditions.
6) Region deletion
And (3) carrying out deletion operation on the partitions, the grids and the units, wherein the relation between areas (such as the inclusion relation between the power supply grids and the power supply units) and the relation between the grids and the power grid are considered during deletion, and the like.
The names, properties and areas of the individual power supply partitions, power supply grids and power supply units need to be maintained throughout all functional operations.
The current situation analysis module 3 is used for diagnosing and analyzing a classification system of the power grid structure, the equipment level, the power supply capacity, the intellectualization and the green development by combining the characteristics of the power distribution network, searching problems existing in the current situation power grid from various analyses, summarizing and summarizing the problems found in the current situation analysis link according to a problem classification principle, and establishing a current situation problem library; the present situation analysis needs to be combined with a geographic information visualization engine to perform intelligent advanced application, namely intelligent regional statistics and intelligent diagnosis analysis.
In this embodiment, the current situation analysis aims at data accuracy and problem accuracy, comprehensively makes full touch with and diagnoses the current situation power grid according to the ripe data after data acquisition and power grid simplification have been completed, adopts the method of combining quantitative analysis and qualitative analysis, gives priority to quantification and gives priority to qualification, discovers the weak link of the current situation power grid, and carries out multi-dimensional display on the diagnosis result on a map, and the basic function is divided into three parts: summarizing statistics, analyzing diagnosis and problem summarization, and intelligent planning functions are built by utilizing intelligent and automatic technologies, including intelligent area statistics and intelligent diagnosis analysis, and the problems are arranged in a grading way to form a problem library classified according to the degree of urgency.
(1) Summary statistics
A basic part: and collecting and counting the basic data in the region to form region general information, wherein the raw data of the information is acquired from a data warehouse. The main information should cover the basic information of regional environment, social economy, frequent population, urbanization rate and the like, and also should include the power grid scale data in the covered region, including the power grid information of regional power supply condition, current load, distribution and transformation capacity number, line length number and the like.
The intelligent part: the intelligent dynamic statistics is realized for the power grid scale in the power supply unit of the power distribution network, the statistical information mainly comprises the power supply condition, the current load, the distribution and transformation capacity number and the line length number in the region, the existing power supply unit can be directly selected on a graph to complete the statistics, and a user-defined region can be drawn through a polygon selection tool provided by a visual engine to perform the statistics.
(2) Analytical diagnosis
The analysis and diagnosis consider starting from aspects of power grid structure, equipment level, power supply capacity, intellectualization, green development and the like, the system evaluates the current situation of the power grid, and diagnoses weak links of the power grid. And making differential evaluation indexes for different development levels of the region where the power supply unit is located, analyzing the existing problems, and automatically generating a grading problem library and a management problem library.
A basic part:
1) grid structure analysis
The power grid structure analysis is carried out by taking a power supply unit as a unit, and the following contents are mainly analyzed: the system comprises a single main transformer substation, a single power supply incoming line substation, a single radiation medium-voltage line, a line contact condition, a power supply radius condition and a line N-1 passing condition.
The following factors need to be considered when diagnosing and analyzing the power grid structure: when the transformer substations normally operate, the transformer substations are provided with mutually independent power supply areas, the power supply areas are not crossed or overlapped, and when the transformer substations are in fault or are overhauled, the load transfer capacity of a certain proportion is required among the transformer substations; in the same power supply area, the lengths of medium-voltage outgoing lines and loads carried by the medium-voltage outgoing lines in the transformer substation are balanced, and reasonable segmentation and connection are needed; when in fault or maintenance, the medium-voltage line has the capacity of transferring the load of the non-outage section; when a distributed power supply with a certain capacity is accessed, an access point is reasonably selected to control the short-circuit current and the voltage level; the high-reliability power distribution network structure has the network reconstruction capability, and automatic fault isolation is convenient to realize.
When the wiring mode is analyzed, the contact point setting needs to be considered, and the following requirements can be met, wherein the main wiring modes of the medium-voltage distribution network comprise single radiation, double radiation, multi-section moderate contact, single-ring type, double-ring type, multi-supply and one-standby mode and the like. The wiring mode of the overhead line is determined according to the condition of a peripheral power supply and the load of the line, generally, one line does not exceed 3 contact points, the contact points are arranged on a main line, and each section does not exceed one contact point; the cable net generally adopts a double-ring single-ring net structure, and when a single-ring net is not formed, the cable net can be temporarily pulled by hands with the existing overhead line; the contact point should not be set at the head end because the line connected to the contact point cannot be used for switching after the line has failed when set at the head end. It is not suitable for the connection between the same-pole erecting lines. When a line erected on the same pole breaks down or is overhauled, the line on the same pole can be powered off at the same time, and after communication, the operation is difficult to play in the actual operation process.
2) Device level analysis
The method for analyzing the equipment level by taking a power supply unit as a unit is used for analyzing the equipment levels of lines and distribution transformers in the power supply unit and mainly comprises the following steps: the cross-section condition of a medium-voltage line, the operational life of operating equipment, and the condition of a high-loss distribution transformer.
3) Power supply capability analysis
The power supply capacity analysis is carried out by taking a power supply unit as a unit, the operation levels of a main transformer, a line and a distribution transformer in the power supply unit are analyzed, and the main content comprises the following steps: medium voltage line load conditions, substation load conditions, distribution transformer load conditions.
4) Intelligent and green development analysis
The intelligent and green development analysis with the power supply unit as a unit needs to analyze the clean energy consumption condition, the distribution automation coverage condition and the distribution transformer information acquisition coverage condition, the analysis depends on the acquisition condition of a data warehouse for relevant data, and when the data acquisition has problems, the analysis can be omitted.
5) Main mode of display
And checking detailed results of various analyses in a table mode, positioning specific equipment in a graphic mode, and marking the detailed conditions of the analysis results in different theme rendering modes.
The intelligent part:
1) intelligent diagnostic analysis
By means of an automatic processing technology, the analysis work to be completed is split and combined, the power grid structure, the equipment level, the power supply capacity, the intellectualization and the green development can be analyzed in a single analysis mode, one-key integrated analysis can be performed on a package of analysis, and the current situation automatic analysis is achieved.
In the organization form, clear hierarchical structure decomposition complex indexes are established, the conditions of the power grid development in the aspects of speed, quality, efficiency, benefits and the like are comprehensively diagnosed and analyzed by adopting a multi-dimensional and multi-level analysis mode combining quantitative analysis and qualitative analysis, weak links are found out, and a basis is provided for the power grid development direction and the investment focus.
(3) Summary of problems
The main purpose of the current situation power grid diagnosis and analysis is to find out the problems existing in the power grid through clear and definite indexes which can be quantized as much as possible, process the problems in a grading way by taking the problems as a guide, and summarize the problems found in the current situation analysis link.
A basic part:
1) electric network structure
On the basis of power grid structure analysis, the problems existing in a power grid structure are found, and the power grid structure mainly comprises a single main transformer substation, a single radiation line, a medium-voltage line with less than 3 sections in sections, a line which does not pass through an N-1 verification line and a line with an overproof power supply radius.
2) Level of the equipment
The horizontal analysis of equipment in the power supply unit relates to several related problems such as small wire section, neck clamping, old equipment, high-loss distribution transformer and the like.
3) Power supply capability
Based on the result of power supply capacity analysis, the condition that the load level in the equipment is abnormal is mainly found out, and the problems of overload, heavy load, light load and the like of a main transformer, a distribution transformer and a medium-voltage line are involved.
4) Main mode of display
The problem data is checked in a table mode, specific equipment with problems is located in a graphic mode, and problem distribution conditions are marked in different theme rendering modes.
The intelligent part:
1) automatic problem grading
The problem automatic grading of all the problems means that due to the fact that the problems of the power grid are various in types and the problems of the power distribution network are more in types, large-scale power grid investment is needed to be completely solved, grading and sequencing of the problems of the power grid are conducted, funds and projects are conveniently arranged overall, and power grid construction is conducted in a targeted mode.
The method comprises the steps of dividing problems into three levels according to the emergency degree of the problems by presetting a template and establishing a classification system, wherein the three levels are respectively a first level, a second level and a third level, the emergency degree of the first level is the lightest, and the emergency degree of the third level is the heaviest. By grading the current problems, the planning projects can be sequenced in the future, and the problems and projects with high levels are preferentially arranged in the investment process.
The main principle and mode of problem classification is shown in fig. 3.
2) Intelligent diagnostic advice
According to the preset template and the establishment of the power grid development diagnosis experience base, development diagnosis suggestions are intelligently provided, the data collection and sorting efficiency and the diagnosis and analysis quality are improved, and reasonable and accurate guidance is provided for scientific and efficient planning of power grid development.
The load prediction module 4 is used for adopting a method suitable for unit load prediction aiming at the characteristics of power distribution network unit system planning, and predicting the load in the near-middle period by adopting a method of combining a natural growth rate with a new increment point load;
in this embodiment, the natural growth rate refers to a natural growth rate set by combining a historical growth law and an economic development trend for the existing load characteristics and development conditions in the power supply unit, so as to obtain the natural development conditions of the existing load. And predicting the middle year load of the user according to the user perspective saturation load and the construction and production time. And predicting the load of the distant view year by adopting a space load density method, and calculating a distant view year load prediction result based on graph distribution by utilizing detailed control planning information collected from municipal departments and combining the setting of load density indexes and the area of each block.
And the load prediction of the power supply unit of the power distribution network comprises near-medium-period load prediction and distant view annual load prediction. And actually planning a business process, namely performing long-term annual load prediction and then performing load prediction in near and medium term.
(1) Long-term load forecast
The distant view annual load forecast needs to utilize the construction project of the government and enterprise data to collect municipal planning data collected from the local government. When the planning unit has detailed plot controllability planning, a building area load density index method is adopted during space load prediction, and otherwise, a floor area load density index method is adopted.
When the load prediction is carried out by the space load density index method, a 'bottom-up' prediction idea is adopted, the load of each block in each power supply unit is calculated firstly, and the load of each block is obtained by superposition calculation under the condition of considering the demand coefficient; and under the condition that the simultaneity rate among loads is considered, the total load value of the power supply unit in the saturation year is obtained through superposition calculation. The purpose of predicting the saturated load of the block is to determine the number of distribution transformers and the capacity configuration. With this prediction method, the load distribution of each block, and power supply unit needs to be displayed in the graphic space.
The long-term load forecast mainly comprises the following functional points.
1) Control plan import
And acquiring detailed land planning of municipal departments from construction projects in the government and enterprise data, importing detailed information such as land property, occupied area, volume ratio and the like, and establishing space partitions. When the current data are difficult to obtain, the space partition is established in a manual input mode, and a tool for inputting detailed information of the plot needs to be provided.
2) Spatial zoning rendering
The method comprises the steps of recording a plot and a block by utilizing related drawing specifications and primitive style specifications (including boundary line styles, filling styles, transparency and the like) formulated by a visualization engine, wherein the recording comprises capturing, recording (when recording, the spatial partition relation needs to be checked, such as the relation that the plot cannot be crossed, overlapped and nested), relation maintenance (the relation between the plot and the block to which the plot belongs is recorded and maintained, the relation between the block to which the block belongs and the power supply unit to which the block belongs needs to be maintained and the like).
When the space is drawn in a partition mode, the occupied area of the space, the property of land, the occupied area, the volume ratio, the building area (which can be automatically converted according to the occupied area and the volume ratio) and other information need to be automatically acquired.
After the space partition is drawn, the partition boundary can be modified, the partition can be deleted, and the partition information can be modified.
3) Calculating parameter settings
And setting the load density index, namely setting the load density index of the occupied area and setting the load density index of the building area. And providing a load density index setting interface, and giving typical values under various geological properties by default. Because the load density index span is large, in order to load the local actual situation, the load density conditions of different types in the local area need to be investigated, the load density index of the unit building area and the load density index of the occupied area of the planning area are summarized and extracted, and once the load density index is set, the load density index can be stored in the system for the next use.
Setting a demand coefficient, wherein the demand coefficient is empirical data, a specific value is different for each urban power grid, the value is used when a building area density index method is adopted for calculation, an input interface classified according to different land properties needs to be provided, a typical value is given by default, and once the value is set, the typical value can be stored in the system for the next use.
And setting a synchronization rate, namely providing an interface to set the synchronization rate between the blocks, wherein the default value is 0.8 generally, and the default value is 0.9 generally when the synchronization rate between the units is set.
4) Predictive computation
And calculating by a building area load density index method, and calculating and summarizing in a grading manner from bottom to top according to the building area load density index method to finally obtain a power supply unit load value and a total load value. And after the calculation is finished, the graph is rendered by using the cold and warm tones according to the load density distribution condition.
The method for calculating the floor area load density index method, the calculating method and the steps are the same as the building area load density index method, only the parameters adopt the indexes related to the building area and the building area, and the required coefficient is not required to be considered during calculation.
(2) Near-mid load prediction
The load prediction in the near-middle period needs to acquire large user installation data collected by a reward part from a data warehouse, wherein the large user installation data comprises information such as user names, load properties, planned electricity utilization time, installation capacity and geographic positions, and historical loads of distribution transformers in a power supply unit are acquired.
In the load prediction in the near-middle period, a method of 'natural increase of the existing load + load S curve of a newly added point' is adopted, and the increase conditions of the existing load and the newly added load of the unit are calculated year by combining factors such as the construction stage of the unit, the development environment and the like.
The near-intermediate load prediction mainly comprises the following functional points:
1) existing load growth rate setup and calculation
And automatically calculating the average historical annual increase rate as the load increase rate in the near-intermediate period by utilizing the load information of the distribution transformer collected during the current situation analysis and if the historical annual distribution transformer load information exists. And if not, providing a setting interface to record the growth rate. The setting of the increase rate should be considered to be possible to set the load increase rate of a certain distribution individually or to set the load increase rates of a plurality of distributions in a block in a batch.
2) Existing load near-mid-term prediction
And calculating the year-by-year load value of the existing distribution change in recent period by using the set growth rate in consideration of the characteristics of the power supply unit such as economic development level, unit construction stage and natural environment.
3) Point load logging
And when the geographic information exists in the data collected from the data warehouse, automatically drawing point loads on the map in an automatic mapping mode. And if not, using a point load input tool to manually click a load position on a map to input the load, and simultaneously, inputting information such as the user name, the load property, the planned electricity utilization time, the installation reporting capacity and the like of the load.
4) Modification of point loads
Modification and deletion tools are provided for the load at a given location on the map. The point load can be modified by moving the point load on the map to modify the point load position; and modifying information such as user names, load properties, planned electricity utilization time, installation capacity and the like through the attribute window.
5) Calculation of point load S curve method
And providing an interface for the S-curve load increase parameters for maintenance, and setting according to the properties of different lands in different years. And after the setting is finished, the middle year load condition of the user is pushed back according to the distant view year saturation load and the construction and production time of the user.
6) Near-mid load prediction
After the current load near-middle period prediction and the annual load prediction of the newly added point load in the power supply unit are finished, the sum of the current load near-middle period prediction and the annual load prediction is the near-middle period load prediction value of the power supply unit.
The power balance module 5 is used for determining the power capacity requirement and the number of lines based on the recent load prediction result; the calculation method of the power supply capacity requirement is that the newly-added transformation capacity is determined by combining the existing transformation capacity according to the capacity-load ratio of a power supply unit being 1.8-2.2; the line number calculation method is to calculate the line number of each unit according to the network supply load of the power supply unit of the power distribution network and the load carried by each line.
In this embodiment, the power balance is to determine the demand of the distribution network power supply unit recent medium voltage equipment, including the power capacity demand and the line number demand, according to the recent load development level. The data required by the power balance comprises the current power grid power supply capacity condition, the line distribution condition and the recent load prediction result.
Calculating the power balance, namely firstly calculating the medium-voltage network supply load of the unit year by year according to the near-medium load prediction result of the unit and a balance table calculation formula; then, according to the set capacity-to-load ratio, the difference between the network load and the existing power supply capacity is analyzed and compared, and the annual demand condition of the power supply capacity is determined; and finally, determining the power supply capacity of the single-circuit feeder line according to the section of the lead and the wiring mode, and further calculating the number of the feeder lines required by the unit year by year: and subtracting the number of the existing feeders by the number of the required feeders to obtain the number of the feeders required to be newly built in the unit. When the number of the existing feeders of the unit is determined, if some lines simultaneously supply power for two or more units, the lines are classified to a certain unit according to the principles of optimal power supply paths and the like, and the number of the feeders of other units is not counted when the statistics is carried out.
The power balance mainly comprises the following functional points:
(1) medium voltage network supply load calculation
The calculation of the medium-voltage network load needs to acquire data such as medium-voltage special line user load, power supply load of a low-voltage power supply of a switched-in public power grid and the like, and when the data are missing, an input interface is provided for inputting annual values. And after the direct supply load of the voltage class of 35kV or more is deducted from the total load of the power supply unit of the power distribution network, the load of a medium-voltage special line user is deducted, and the power supply load of a low-voltage power supply accessed to a public power grid is deducted, the residual load is the medium-voltage power supply load.
(2) Capacity to load ratio setting
And providing an interface to set a capacity-load ratio, wherein the default value of the capacity-load ratio is set between 1.8 and 2.2 because the development level and the development stage of the city are different. The capacity-to-load ratio can be set independently by a single power supply unit, or a plurality of power supply units can be set simultaneously in batches.
(3) Power supply capacity demand calculation
And analyzing the requirement of the newly increased medium voltage transformation capacity by combining the capacity-load ratio according to the result of the network power supply load prediction.
(4) Line count calculation
And determining the number of feeders of each unit in the target year according to the network supply load of the power distribution network power supply unit and the load carried by each line. Different net rack and space frame structures, the power supply capacity of the line will be different, the N-1 conveying capacity is considered in the design interface setting, and the default value is set to 4000 MW. And automatically calculating the number of newly added lines, wherein the difference value of the number of the lines in the power supply unit in the target year and the current year is the number of the lines needing to be newly added.
All of the above calculations require calculation of the results of each middle year.
The unit system planning module 6 is used for planning a power distribution network power supply unit network frame, and specifically, based on a current network frame, considering the current channel resources and feasible channel resources in a long term, combining substation distribution points and space load prediction results, and forming an implementable, differentiated and standardized target network frame according to different requirements of different power supply areas; in the process, the rationality and feasibility of the access scheme need to be intelligently checked according to the adjustment of the local net rack.
In this embodiment, the unit system planning is to design and arrange facilities for a planning grid after combining the current grid diagnosis and analysis results, the spatial load distribution prediction, the power balance power supply and the line demand. The required data is obtained by collecting channel resource data from a data warehouse, outgoing line interval data of a 10kV (20kV) side of a transformer substation, newly-built power point data and conventional planning scheme data in addition to the result data after the analysis.
The unit system planning firstly inspects the existing channel resources, fully utilizes the existing channel resources and the channel resources which are feasible in a long term, and combines the substation offline and outgoing line planning requirements to form a long-range channel planning with a certain implementation basis; then, determining the outgoing direction and position based on the distant view year space load distribution and the municipal function partition, forming an outgoing line plan, and combining the outgoing line plan with the distant view channel plan to construct a distant view year net rack plan; and finally, determining the direction and the position of the near-middle-period outgoing line according to the near-middle-period construction time sequence of the transformer substation and by combining near-middle-period load prediction and power balance results, and in the process, adopting a targeted solution strategy based on the problems existing in the current power grid and related requirements to form a transition scheme and make a transition year grid planning.
The unit system planning mainly comprises the following functional points:
a basic part:
(1) selecting a basic data version;
(2) channel resource entry and maintenance;
(3) newly building a transformer substation for inputting and maintaining;
(4) newly building a line for inputting and maintaining;
(5) recording and maintaining a station house;
(6) customizing and maintaining templates of a transformer substation and a station house;
(7) association and maintenance of items and devices;
(8) managing the power grid versions in multiple schemes and multiple years;
the intelligent part:
the intelligent scheme checking refers to visual grid planning design based on scene simulation, load estimation can be rapidly carried out on adjustment of a local access scheme in a power supply unit, the cross section of a lead and the power supply radius are checked, and whether preliminary reliability target requirements can be met or not is rapidly checked.
The scheme comparison and selection module 7 is used for performing comparison and selection evaluation on each planning scheme formed by unit planning, performing adaptive evaluation on the planning schemes from the aspects of power supply capacity, power supply reliability, operation efficiency and economy based on power distribution network simulation calculation, intelligently evaluating the advantages and disadvantages of each scheme through technical and economic comparison and recommending an optimal scheme, and automatically forming an album and a planning text;
in the embodiment, simulation calculation such as short circuit calculation, N-1 analysis and reliability analysis is performed on each planning scheme formed by unit planning, the scientificity and rationality of the scheme are preliminarily screened, the scheme quality is intelligently evaluated through technological-economic comparison, and the optimal scheme is recommended.
The main functional points of the scheme selection are as follows:
a basic part:
(1) simulation calculation
And providing power grid topological data, calling an auxiliary planning tool for calculation according to a unit system, and integrally calling and displaying.
(2) Investment estimation
Setting and maintaining unit price of equipment and calculating total investment.
(3) Album generation
Text marking, graphical marking, print setting preview, graphical export.
(4) Planning text generation
And automatic export of the words and tables of the planning result is provided.
The intelligent part:
(1) intelligent solution recommendation
And establishing an index system structure in the aspects of power grid structure, equipment level, power supply capacity, intellectualization, green development and the like, comprehensively evaluating the advantages and disadvantages of all schemes, and intelligently recommending the optimal scheme.
And the planning project library module 8 is used for displaying and positioning annual planning projects on a target net rack by associating each power grid device with the project in the planning scheme and sequencing according to the importance of the project.
In this embodiment, the planning project library mainly includes the following functional points:
(1) and performing distribution display on the historical power grid projects which are already put into production, wherein the main information comprises project names, planning production time, actual scale and the like.
(2) And displaying the distribution condition of the equipment influenced by the construction project.
(3) And performing distributed display on the items entering the reserve library, and performing differentiated display on the established priority of the reserve items.
(4) The distribution of the planning projects is shown on the graph, and the main information comprises project names, planning production time, planning scale and the like.
(5) Item location and item query.
From the system layered design, the system is mainly divided into a view layer, a control layer, a business logic layer, a data service layer, a data access layer, a data transmission object, an integrated basic platform and related supporting services (including an infrastructure layer), and the specific technical architecture is shown in fig. 4.
Viewing the image layer: the user interaction function is mainly completed. The function menu is entered through an HTML page, an interface is displayed through a Bootstrap frame, the page style is specified by using a CSS, and a JS is used for foreground service logic and page control; and submitting the data submitted to the server to an Action class in a background in an AJAX mode for processing.
A control layer: the system comprises a Controller, an exception handling module, a log record module, an authority control module and other functional components.
The Controller is realized by using a Controller of spring MVC, adopts spring4.3.16 (security version), and separates page data processing, page flow control and page generation by a built-in MVC development mode. The project mainly uses the method to control the page circulation.
The business logic layer and the data access layer do not intercept the exception in principle, and the exception is encapsulated and then thrown outwards and processed at the control layer. And the control layer performs exception handling, records exception logs, assembles error information and displays the error information in a unified mode on the foreground.
The control layer simultaneously carries out background verification of authority control, and each controller method corresponds to a certain menu function or a menu function object in the unified authority. And unified authority verification is performed through the base class, so that the HTTP request is prevented from being assembled to perform unauthorized operation.
And the control layer calls the service logic layer to perform service processing, transmits the parameters in the request of the service module to the service logic layer, converts the data returned by the service logic layer into a JSON format and writes the JSON format into response. The request and response are not allowed to pass into the business logic layer if there is no special case.
And a service logic layer: the system is composed of a series of Service interfaces and Service implementation, mainly performs Service processing, each Service is a group of closely associated Service functions, and the Service functions call data Service layer (DAO) interfaces to complete persistence.
The business logic layer and the data access layer are realized by adopting an interface mode, a single-case mode is adopted, the initialization and assembly work of the class is completed by a Spring IOC container, the initialization of the class is declared in a Spring configuration file, the assembly of the class is realized by the annotation of @ autofire in a Controller class or a service class, and no extra calling code of a factory class or a class is needed.
The control of the database transaction is carried out in a service logic layer, one method of the service logic layer is a database transaction, one method of the service logic layer can call one or more DAO methods, even the DAO methods are called repeatedly in a loop, and the operation of the DAO is in one transaction. The specific implementation method adopts Spring AOP declaration type affairs, and @ transitional and corresponding parameters are added in front of the method needing affair control.
A data service layer: the system is mainly responsible for accessing data sources such as relational databases and converting data into Java objects for programs of other layers to call; and solidifying the Java object data of other layers into the database.
Data access layer (DAO): all database access operations must be completed in the DAO class, including the assembly of query statements, parameter setting, and parsing of query results. SQL assembly is not recommended in the business logic layer, and ResultSet or other database operation related classes/interfaces are not allowed to be transmitted to the business logic layer for operation. All DAO classes inherit the BaseDaoDboper class, within which two operation classes of DBOper, DBOper and DBTableOper, will be provided.
Data Transfer Object (DTO): for data transmission in a system, Java entity classes, DBTableObject objects and DBTableRow objects of DBOper are generally not recommended to be used as DTOs, so that attribute setting codes of the entity classes can be saved, and the conversion into a JSON format is convenient.
Pass parameter and return value if single value, use class like java. If the passed parameters are complex values (such as complex filtering conditions or data sets), JSONObject or HashMap objects can be considered. The request and response objects are not allowed to pass to the business logic layer or the DAO layer for operation. The data access layer is mainly responsible for accessing data sources such as relational databases and converting data into Java objects, providing the Java objects for program calling of other layers, and solidifying Java object data of other layers into the databases. All database access operations must be completed in the DAO class, including the assembly of query statements, parameter setting, and parsing of query results.
The infrastructure layer is developed based on a unified authority platform.
The unified rights platform provides the following common functions:
unified authentication: the user is provided with the support that all service systems can use after logging in once. The system uses the interface provided by the unified login to verify whether the current user logs in, and if the user does not log in, the system turns to the login page of the unified login.
Organization mechanism: the maintenance of the service organization of the system is completed in the unified authority platform and automatically synchronized to the system database; an interface is provided for the business system to query for data.
User management: the users in the project are provided by the unified authority platform, and the purpose of using the project by the users is achieved by configuring the business organization role for the users.
And (3) menu management: the menu of the project is all registered on the unified authority platform, and the user accesses the project by logging in the unified authority platform.
And (3) role management: providing maintenance and personnel role distribution of role groups/enterprise roles/business organization roles, and providing an interface for a business system to inquire data;
and (3) authority management: after the system registers the menu and the function button to the unified authority platform, authorization is carried out on the unified authority platform; after logging in, a user enters the system from a menu of the unified authority platform; and providing an interface for the business system to inquire the authority.
In conclusion, the intelligent power distribution network planning system for multi-source data fusion provided by the invention fully utilizes the advanced information communication technology, creates an intelligent power distribution network planning system for multi-source data fusion with integrated graph number, online interaction and intelligent high efficiency, realizes intelligent region statistics, intelligent diagnosis and analysis, intelligent scheme check and intelligent scheme recommendation, promotes the realization of visualization, online and intelligent operation of the whole service flow of power distribution network unit planning, and improves the efficiency and quality of planning work; by a planning algorithm, information such as power grid resources, geographic landforms, corridor resources, environmental topics, local planning, city layout and the like is widely fused by taking a power supply unit of the power distribution network as a caliber, overall consideration and comprehensive calculation are carried out, and the scientificity and the rationality of power distribution network planning are improved; the closed-loop management of problem finding, problem analysis, problem treatment and optimization schemes is emphasized, a problem classification system is established, and each unit is accurately positioned, so that low investment benefit is avoided from a planning source, and the project investment is converted into accurate investment. Through the information-based construction, the working efficiency and the planning quality of the auxiliary planning can be improved. By maintaining knowledge bases of national standard and enterprise standards, user manuals, typical designs and other data, professional technicians are facilitated to reduce research time and make correct decisions so as to adapt to rapid changes of planning business requirements and methods. By establishing the cooperative work module, the communication and cooperative work among the personnel in the planning project management process are facilitated, and the efficiency of cross-department personnel management and business communication is improved. By utilizing a big data technology, core data are mined, counted and analyzed from the distribution network resource market and the management module to form a visual chart, so that management departments can conveniently develop overall planning work, manual modes are reduced, and the work efficiency is greatly improved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.

Claims (5)

1. The multi-source data fusion-oriented power distribution network intelligent planning system is characterized by comprising a data acquisition module, a region division module, a current situation analysis module, a load prediction module, an electric power balance module, a unit system planning module, a scheme comparison module and a planning project library module;
the data acquisition module is used for importing data required by unit system planning by means of power distribution network planning resource market according to the requirements of the unit system planning service of the power distribution network;
the region division module is used for maintaining and managing power grid equipment and power users in the district by taking administrative districts as boundaries in the power supply range of each existing power supply enterprise, and further dividing the power supply area into three layers of power supply subareas, power supply grids and power supply units;
the current situation analysis module is used for carrying out classification and systematic diagnosis and analysis on the structure, equipment level, power supply capacity, intellectualization and green development of the power grid in combination with the characteristics of the power distribution network, searching problems existing in the current situation power grid from various analyses, summarizing and summarizing the problems found in the current situation analysis link according to a problem classification principle, and establishing a current situation problem library;
the load prediction module is used for adopting a method suitable for unit load prediction aiming at the characteristics of power distribution network unit system planning and predicting the load in the near-middle period by adopting a method of combining a natural growth rate with a new increment point load;
the power balance module is used for determining the power supply capacity requirement and the number of lines based on the recent load prediction result;
the unit system planning module is used for planning a power distribution network power supply unit network frame, and particularly, based on the current network frame, considering the current channel resources and the feasible channel resources in a long term, combining the distribution points of the transformer substation and the space load prediction results, and forming an implementable, differentiated and standardized target network frame according to different requirements of different power supply areas;
the scheme comparison and selection module is used for performing comparison and selection evaluation on each planning scheme formed by unit planning, performing planning scheme adaptability evaluation on the aspects of power supply capacity, power supply reliability, operation efficiency and economy based on power distribution network simulation calculation, intelligently evaluating the quality of each scheme through technical and economic comparison and selection, recommending an optimal scheme, and automatically forming an album and a planning text;
and the planning project library module is used for displaying and positioning annual planning projects on the target net rack by associating each power grid device with the project in the planning scheme and sequencing according to the importance of the project.
2. The multi-source data fusion-oriented power distribution network intelligent planning system of claim 1, wherein the data in the data acquisition module comprises standing book data, GIS coordinate data, topology data and operation data;
the data acquisition module is also used for checking and repairing data, simplifying a power grid and importing a control and regulation diagram, and matching and managing the data to form power distribution network planning mature data which can be continuously updated and used and can meet planning service requirements.
3. The multi-source data fusion-oriented power distribution network intelligent planning system of claim 1, wherein the power supply partition is composed of power supply grids, and an administrative urban area and an administrative county are used as one power supply partition;
the power supply grid consists of power supply units and is divided into independent power supply grids according to the administrative villages, towns and regions;
the size of the power supply unit is divided reasonably according to natural geographical layout by taking 6-8 lines as boundaries, and blocks of the same land property are divided in the same power supply unit.
4. The multi-source data fusion-oriented power distribution network intelligent planning system according to claim 1, wherein the natural growth rate is a growth rate set according to existing load characteristics and development conditions in a power supply unit and by combining historical growth rules and economic development trends.
5. The multi-source data fusion-oriented power distribution network intelligent planning system of claim 1, wherein the power supply capacity requirement is calculated by determining newly-added transformation capacity according to the capacity-to-load ratio of a power supply unit of 1.8-2.2 in combination with the existing transformation capacity;
the line number calculation method is to calculate the line number of each unit according to the network supply load of the power supply unit of the power distribution network and the load carried by each line.
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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112785084A (en) * 2021-02-08 2021-05-11 珠海市鸿瑞信息技术股份有限公司 Power distribution network system based on artificial intelligence simulation analysis
CN113505951A (en) * 2021-03-31 2021-10-15 国网山西省电力公司吕梁供电公司 Distribution network planning overall process evaluation management system
CN113642850A (en) * 2021-07-20 2021-11-12 国网江苏省电力有限公司南通供电分公司 Data fusion method and terminal for power distribution network planning
CN113657800A (en) * 2021-08-26 2021-11-16 广东电网有限责任公司 Planning scheme compiling method and device for distribution network project, computer equipment and medium
CN113723719A (en) * 2021-11-03 2021-11-30 国网北京市电力公司 Distribution transformation-based near-intermediate load prediction method, device, equipment and medium
CN113743683A (en) * 2021-11-04 2021-12-03 国网北京市电力公司 Urban and rural control rule-based saturated annual load prediction method, system, equipment and medium
CN113888350A (en) * 2021-09-26 2022-01-04 国网湖北省电力有限公司经济技术研究院 Power grid planning project ordering method considering power supply reliability in transition period
CN114065554A (en) * 2022-01-11 2022-02-18 国网北京市电力公司 Power distribution network online planning method, device, equipment and medium
CN114169751A (en) * 2021-12-06 2022-03-11 广东电网有限责任公司 Power supply partition-based power grid project planning verification method and related device
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CN114372594B (en) * 2021-12-08 2024-09-06 国网山东省电力公司烟台供电公司 Distributed power comprehensive analysis and safety control system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109980642A (en) * 2019-04-26 2019-07-05 云南电网有限责任公司信息中心 A kind of digital intelligent distribution network planning auxiliary system
CN110570009A (en) * 2019-07-31 2019-12-13 中国电力科学研究院有限公司 power distribution network analysis and planning system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109980642A (en) * 2019-04-26 2019-07-05 云南电网有限责任公司信息中心 A kind of digital intelligent distribution network planning auxiliary system
CN110570009A (en) * 2019-07-31 2019-12-13 中国电力科学研究院有限公司 power distribution network analysis and planning system

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CN112785084A (en) * 2021-02-08 2021-05-11 珠海市鸿瑞信息技术股份有限公司 Power distribution network system based on artificial intelligence simulation analysis
CN113505951A (en) * 2021-03-31 2021-10-15 国网山西省电力公司吕梁供电公司 Distribution network planning overall process evaluation management system
CN113642850A (en) * 2021-07-20 2021-11-12 国网江苏省电力有限公司南通供电分公司 Data fusion method and terminal for power distribution network planning
CN113642850B (en) * 2021-07-20 2024-08-16 国网江苏省电力有限公司南通供电分公司 Data fusion method and terminal for power distribution network planning
CN113657800A (en) * 2021-08-26 2021-11-16 广东电网有限责任公司 Planning scheme compiling method and device for distribution network project, computer equipment and medium
CN113888350A (en) * 2021-09-26 2022-01-04 国网湖北省电力有限公司经济技术研究院 Power grid planning project ordering method considering power supply reliability in transition period
CN113723719B (en) * 2021-11-03 2022-02-11 国网北京市电力公司 Distribution transformation-based near-intermediate load prediction method, device, equipment and medium
CN113723719A (en) * 2021-11-03 2021-11-30 国网北京市电力公司 Distribution transformation-based near-intermediate load prediction method, device, equipment and medium
CN113743683A (en) * 2021-11-04 2021-12-03 国网北京市电力公司 Urban and rural control rule-based saturated annual load prediction method, system, equipment and medium
CN114169751A (en) * 2021-12-06 2022-03-11 广东电网有限责任公司 Power supply partition-based power grid project planning verification method and related device
CN114372594A (en) * 2021-12-08 2022-04-19 国网山东省电力公司烟台供电公司 Distributed power supply comprehensive analysis and safety management and control system
CN114372594B (en) * 2021-12-08 2024-09-06 国网山东省电力公司烟台供电公司 Distributed power comprehensive analysis and safety control system
CN114065554A (en) * 2022-01-11 2022-02-18 国网北京市电力公司 Power distribution network online planning method, device, equipment and medium
CN115186944A (en) * 2022-09-15 2022-10-14 合肥优晟电力科技有限公司 Urban power distribution network planning method and system

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Application publication date: 20201225