CN117473683A - Medium-voltage distribution network grid planning method and related device - Google Patents

Medium-voltage distribution network grid planning method and related device Download PDF

Info

Publication number
CN117473683A
CN117473683A CN202311448371.1A CN202311448371A CN117473683A CN 117473683 A CN117473683 A CN 117473683A CN 202311448371 A CN202311448371 A CN 202311448371A CN 117473683 A CN117473683 A CN 117473683A
Authority
CN
China
Prior art keywords
distribution network
planning
grid
power
wiring
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311448371.1A
Other languages
Chinese (zh)
Inventor
左婧
郑剑锋
陆锦培
周龙舟
梁明铸
周磊
万敏
陈培培
刘若愚
李达凯
何其淼
刘志陆
何然
刘聪
白雪
姚远
詹睿
霍兆杰
奚泽立
祝钧
陈艺丹
张瀚夫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Power Grid Co Ltd
Foshan Power Supply Bureau of Guangdong Power Grid Corp
Original Assignee
Guangdong Power Grid Co Ltd
Foshan Power Supply Bureau of Guangdong Power Grid Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Power Grid Co Ltd, Foshan Power Supply Bureau of Guangdong Power Grid Corp filed Critical Guangdong Power Grid Co Ltd
Priority to CN202311448371.1A priority Critical patent/CN117473683A/en
Publication of CN117473683A publication Critical patent/CN117473683A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/18Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/004Artificial life, i.e. computing arrangements simulating life
    • G06N3/006Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/04Power grid distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/06Power analysis or power optimisation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computer Hardware Design (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Pure & Applied Mathematics (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application discloses a medium voltage distribution network grid planning method and a related device, wherein the method comprises the following steps: determining a distribution voltage level and a power supply mode of grid planning according to basic data of the existing power grid; dividing the power supply area to obtain a plurality of sections, and determining the number of substations and transformers according to the capacity-to-load ratio requirements corresponding to the sections; selecting a substation site according to a minimum load distance principle, and obtaining a corresponding distribution network wiring path according to the substation site selection, thereby obtaining a path planning; determining the type of a wiring mode of the power distribution network, optimizing a wiring path of the power distribution network, and planning a wire of the power distribution network by taking the shortest wire length of a wire connecting frame as a principle; based on the minimum electric energy loss of the transformer as a target, a wiring mode and a wiring plan between the power distribution network and the transformer substation are determined, so that a grid planning scheme is obtained, the electric energy loss of the power distribution network is reduced, and the energy saving effect is achieved.

Description

Medium-voltage distribution network grid planning method and related device
Technical Field
The application relates to the technical field of medium-voltage distribution networks, in particular to a medium-voltage distribution network grid planning method and a related device.
Background
Medium voltage distribution networks are an important component connecting high voltage transmission networks and low voltage distribution networks, and play an important role in power systems. In order to better meet the electricity demand of users and improve the reliability and safety of the power distribution network, how to plan and optimize the structure and the operation mode of the medium-voltage power distribution network becomes one of important problems in the research of the power system.
The medium-voltage distribution network is mainly applied to an urban distribution network, and according to the surface of related data, the electric energy loss in the medium-voltage distribution network accounts for more than 60% of the electric energy loss of the whole electric power system, so that how to conduct medium-voltage distribution network grid planning, the electric energy loss of the distribution network can be effectively reduced is significant, and the medium-voltage distribution network grid planning method is provided for achieving the effect of energy conservation.
Disclosure of Invention
The application provides a medium-voltage distribution network grid planning method and a related device, which are used for reducing the power loss of a distribution network so as to achieve the effect of energy conservation.
In view of this, a first aspect of the present application provides a method for planning a grid of a medium voltage distribution network, the method comprising:
determining a distribution voltage level and a power supply mode of grid planning according to basic data of the existing power grid;
dividing a power supply area according to basic data of an existing power grid to obtain a plurality of sections, and determining the number of substations and transformers according to the capacity-to-load ratio requirements corresponding to the sections;
selecting a substation site according to a minimum load distance principle, and obtaining a corresponding distribution network wiring path according to the substation site selection, thereby obtaining a path planning;
determining the type of a wiring mode of a power distribution network, optimizing a wiring path of the power distribution network, and planning a tie line of the power distribution network by taking the shortest length of the tie line frame as a principle;
and determining a wiring mode and a wiring plan between the power distribution network and the transformer substation based on the aim of minimum electric energy loss on the transformer, thereby obtaining a medium-voltage power distribution network grid planning scheme.
Optionally, the basic data specifically includes: distribution of load points, load size, geographical requirements, allowed line corridor, power supply capacity, load prediction results.
Optionally, the determining the distribution voltage level and the power supply mode of the grid planning according to the basic data of the existing power grid specifically includes:
according to basic data of the existing power grid, 10kV and 20kV voltage levels are selected as distribution voltage levels of the medium-voltage power distribution network participating in grid planning, and three power supply modes of 110kV/20kV, 110kV/10kV and 35kV/10kV are selected as power supply modes of the medium-voltage power distribution network participating in grid planning.
Optionally, the dividing the power supply area according to the basic data of the existing power grid to obtain a plurality of segments, and determining the number of substations and transformers according to the capacity-to-load ratio requirement corresponding to each segment, specifically includes:
classifying land parcels with different land use properties and development depths according to basic data of the existing power grid, and partitioning a power supply area according to classification results to obtain a plurality of power supply partitions;
determining the current situation category of each power supply partition according to the administrative level and the load density of the area, and meanwhile, when the area of the power supply partition is larger than a preset threshold value, combining the current situation category and dividing the power supply partition into a plurality of power supply areas by taking villages, street communities and small parks as units so as to obtain a plurality of areas, wherein the current situation category comprises: regional positioning, development depth and power grid conditions;
and calculating the sum of the capacities of the transformer substations required by the plurality of areas according to the existing capacity ratio value range, and determining the number of the transformer substations and the number of transformers contained in a single transformer substation according to the capacity type of the transformers of each distribution voltage level.
Optionally, the selecting a substation site according to a minimum load distance principle, and obtaining a corresponding distribution network wiring path according to the substation site, thereby obtaining a path plan, specifically including:
based on the principle of minimum load distance, adopting a binary particle swarm algorithm to select the transformer substation sites, and obtaining corresponding distribution network wiring paths according to the transformer substation sites, thereby obtaining path planning.
Optionally, determining a type of a connection mode of the power distribution network, optimizing a wiring path of the power distribution network, and planning a connection line of the power distribution network by taking a shortest connection line length as a principle, including:
the cable connection is used as a connection mode of the power distribution network;
combining geographic factors and economic factors, optimizing a distribution network wiring path on the basis of meeting the radial operation of a distribution network by taking the minimum loss as a target, and obtaining an optimal line path;
and carrying out tie line planning on the circuit of the power distribution network in a mode of coexistence of a single ring network as a main network and a small number of double ring networks.
Optionally, determining the connection mode and the connection plan between the power distribution network and the substation specifically includes:
three transformers are planned for each transformer substation, a single bus three-section two-circuit breaker wiring mode is adopted, each transformer supplies power for one bus, under normal conditions, the bus-tie circuit breaker is opened, and when one bus fails, the bus-tie circuit breaker is closed for load transfer.
A second aspect of the present application provides a medium voltage distribution network grid planning system, the system comprising:
the first planning unit is used for determining distribution voltage levels and power supply modes of grid planning according to basic data of the existing power grid;
the second planning unit is used for dividing the power supply area according to the basic data of the existing power grid to obtain a plurality of sections, and determining the number of substations and transformers according to the capacity-to-load ratio requirements corresponding to the sections;
the third planning unit is used for selecting the sites of the transformer substations according to the minimum load distance principle, and obtaining corresponding distribution network wiring paths according to the sites of the transformer substations so as to obtain path planning;
the fourth planning unit is used for determining the type of the wiring mode of the power distribution network, optimizing the wiring path of the power distribution network and planning the wiring of the power distribution network by taking the shortest length of the wiring line of the wiring frame as the principle;
and the fifth planning unit is used for determining a wiring mode and a wiring plan between the power distribution network and the transformer substation based on the aim of minimizing the electric energy loss on the transformer, so as to obtain a medium-voltage power distribution network grid planning scheme.
A third aspect of the present application provides a medium voltage distribution network grid planning apparatus, the apparatus comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the steps of the medium voltage grid planning method according to the first aspect described above according to instructions in the program code.
A fourth aspect of the present application provides a computer readable storage medium for storing program code for performing the medium voltage grid planning method of the first aspect described above.
From the above technical scheme, the application has the following advantages:
the utility model provides a medium voltage distribution network grid planning method, plan the site selection of transformer and the wiring of electric wire netting, through the continuous optimization to distribution network line frame, optimize wiring to transmission line and tie line, greatly reduced the electric energy loss of distribution network in the operation in-process, given the concrete method and the realization flow of planning method, provided the reference for the energy-conserving loss-reduction planning of medium voltage distribution network.
Drawings
Fig. 1 is a schematic flow chart of a medium voltage distribution network grid planning method provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a grid planning system for a medium voltage distribution network according to an embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, a method for planning a grid of a medium voltage distribution network provided in an embodiment of the present application includes:
step 101, determining distribution voltage levels and power supply modes of grid planning according to basic data of an existing power grid;
it should be noted that, first, the existing power grid basic data is collected, which specifically includes: distribution of load points, load size, geographical requirements, allowed line corridor, power supply capacity, load prediction results. And selecting a proper voltage level as a distribution voltage level of the medium-voltage distribution network participating in grid planning according to the power grid basic data, selecting a proper power supply mode to participate in the next planning analysis, specifically selecting 10kV and 20kV voltage levels as distribution voltage levels of the medium-voltage distribution network participating in grid planning, and selecting three power supply modes of 110kV/20kV, 110kV/10kV and 35kV/10kV as power supply modes of the medium-voltage distribution network participating in grid planning.
It will be appreciated that the use of different voltage levels will have a significant impact on the power distribution network planning. The planning scheme with higher voltage level can obtain smaller electric energy loss than the planning scheme with lower voltage level, meanwhile, the number of outgoing lines and the length of the lines, voltage drop on the lines and the like can be reduced by adopting the higher voltage level, so that the electric energy loss of a network is reduced from another aspect, the construction investment of the whole power grid can be greatly reduced, and therefore, the voltage level and the power supply mode need to be determined in the early stage of planning.
102, dividing a power supply area according to basic data of an existing power grid to obtain a plurality of sections, and determining the number of substations and transformers according to the capacity-to-load ratio requirements corresponding to the sections;
it should be noted that, according to the basic data of the existing power grid, land plots with different land use properties and development depths are classified, and according to the classification result, the power supply area is partitioned to obtain a plurality of power supply partitions; determining the current situation category of each power supply partition according to the administrative level and the load density of the area, and meanwhile, when the area of the power supply partition is larger than a preset threshold value, combining the current situation category and dividing the power supply partition into a plurality of power supply areas by taking villages, street communities and small parks as units so as to obtain a plurality of areas, wherein the current situation category comprises: regional positioning, development depth and grid conditions.
When the number of the substations is determined, firstly, a corresponding capacity-to-capacity ratio value range is obtained according to the existing power grid basic data and the regulations of the capacity-to-capacity ratio in the urban power grid planning and design guide rule, then, the sum of the capacities of the substations required by the plurality of areas is calculated according to the capacity-to-capacity ratio value range, and the number of the substations and the number of transformers contained in a single substation are determined according to the capacity types of the transformers of each distribution voltage level.
Step 103, selecting transformer substation sites according to a minimum load distance principle, and obtaining corresponding distribution network wiring paths according to the transformer substation sites, thereby obtaining path planning;
based on the principle of minimum load distance, binary particle swarm optimization is adopted to select the transformer substation sites, and corresponding distribution network wiring paths are obtained according to the transformer substation sites, so that path planning is obtained. The particle swarm optimization algorithm is an evolutionary computing method based on swarm intelligence, which is inspired by the prey of the bird swarm, and is widely applied to various intelligent optimization fields at present. The traditional vertical sub-group optimization algorithm is mainly used for solving a plurality of continuous space optimization problems and solving the discrete space optimization problem in an uncomfortable manner. The binary particle swarm optimization algorithm is used for solving the optimization problem of the discrete space.
It can be understood that the optimization planning of the grid is an optimization model with discrete variables, and the planned line has only two cases: selected and unselected, it is therefore in fact an optimization model with binary discrete variables. The optimal path is obtained by optimizing the method, so that the optimal wiring of the line is determined, the electric energy loss is minimum as a daily function, the corresponding line length is calculated, and the corresponding optimal schemes are output, so that the path planning is obtained.
104, determining the type of a wiring mode of the power distribution network, optimizing a wiring path of the power distribution network, and planning a tie line of the power distribution network by taking the shortest length of the tie line frame as a principle;
the cable connection is used as a connection mode of the power distribution network; combining geographic factors and economic factors, optimizing a distribution network wiring path on the basis of meeting the radial operation of a distribution network by taking the minimum loss as a target, and obtaining an optimal line path; and carrying out tie line planning on the circuit of the power distribution network in a mode of coexistence of a single ring network as a main network and a small number of double ring networks.
And 105, determining a wiring mode and a wiring plan between the power distribution network and the transformer substation based on the minimum electric energy loss on the transformer as a target, thereby obtaining a medium-voltage power distribution network grid planning scheme.
It should be noted that, based on the minimum electric energy loss on the transformers as a goal, three transformers are planned for each transformer substation, a single bus three-section two-circuit breaker wiring mode is adopted, each transformer supplies power for one bus, under normal conditions, the bus-tie circuit breaker is opened, and when one bus fails, the bus-tie circuit breaker is closed for load transfer.
Further, in one embodiment, the method further comprises: the method comprises the steps of optimizing a wiring plan of a transformer by taking the minimum electric energy loss on the transformer as a target;
and (3) carrying out reliability verification on the transformer and the circuit, analyzing and comparing the verification result, and re-optimizing the data which do not meet the planning requirement until the set requirement is met.
According to the medium-voltage distribution network grid planning method, the site selection of the transformer and the wiring of the power grid are planned, the power transmission line and the connecting line are optimized and wired through continuous optimization of the distribution network frame, the electric energy loss of the distribution network in the operation process is greatly reduced, a specific method and an implementation flow of the planning method are provided, and references are provided for energy-saving and loss-reducing planning of the medium-voltage distribution network.
The foregoing is a medium voltage distribution network grid planning method provided in the embodiments of the present application, and the following is a medium voltage distribution network grid planning system provided in the embodiments of the present application.
Referring to fig. 2, a medium voltage distribution network grid planning system provided in an embodiment of the present application includes:
a first planning unit 201, configured to determine a distribution voltage level and a power supply mode of grid planning according to basic data of an existing power grid;
the second planning unit 202 is configured to divide a power supply area according to basic data of an existing power grid to obtain a plurality of segments, and determine the number of substations and transformers according to the capacity-to-load ratio requirements corresponding to each segment;
the third planning unit 203 is configured to perform substation site selection according to a minimum load distance principle, and obtain a corresponding distribution network wiring path according to the substation site selection, thereby obtaining a path plan;
the fourth planning unit 204 is configured to determine a type of a connection mode of the power distribution network, optimize a wiring path of the power distribution network, and plan a line of the power distribution network by using a shortest line length of the line connecting frame as a principle;
and a fifth planning unit 205, configured to determine a connection mode between the power distribution network and the substation and a connection plan based on the minimum electric energy loss on the transformer as a target, so as to obtain a medium-voltage power distribution network grid planning scheme.
Further, in an embodiment of the present application, there is further provided a medium voltage distribution network grid planning apparatus, where the apparatus includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the steps of the medium voltage distribution network grid planning method according to the instructions in the program code.
Further, in an embodiment of the present application, a computer readable storage medium is further provided, where the computer readable storage medium is configured to store program code, where the program code is configured to execute the medium voltage distribution network grid planning method described in the foregoing method embodiment.
It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working procedures of the above-described system and unit may refer to the corresponding procedures in the foregoing method embodiments, which are not repeated here.
The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be capable of operation in sequences other than those illustrated or described herein, for example. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in this application, "at least one" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
The above embodiments are merely for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (10)

1. A medium voltage distribution network grid planning method, comprising:
determining a distribution voltage level and a power supply mode of grid planning according to basic data of the existing power grid;
dividing a power supply area according to basic data of an existing power grid to obtain a plurality of sections, and determining the number of substations and transformers according to the capacity-to-load ratio requirements corresponding to the sections;
selecting a substation site according to a minimum load distance principle, and obtaining a corresponding distribution network wiring path according to the substation site selection, thereby obtaining a path planning;
determining the type of a wiring mode of a power distribution network, optimizing a wiring path of the power distribution network, and planning a tie line of the power distribution network by taking the shortest length of the tie line frame as a principle;
and determining a wiring mode and a wiring plan between the power distribution network and the transformer substation based on the aim of minimum electric energy loss on the transformer, thereby obtaining a medium-voltage power distribution network grid planning scheme.
2. The medium voltage distribution network grid planning method according to claim 1, wherein the basic data specifically comprises: distribution of load points, load size, geographical requirements, allowed line corridor, power supply capacity, load prediction results.
3. The medium voltage distribution network grid planning method according to claim 1 or 2, wherein the determining the distribution voltage level and the power supply mode of the grid plan according to the basic data of the existing power grid specifically comprises:
according to basic data of the existing power grid, 10kV and 20kV voltage levels are selected as distribution voltage levels of the medium-voltage power distribution network participating in grid planning, and three power supply modes of 110kV/20kV, 110kV/10kV and 35kV/10kV are selected as power supply modes of the medium-voltage power distribution network participating in grid planning.
4. The medium voltage distribution network grid planning method according to claim 2, wherein the dividing the power supply area according to the basic data of the existing power grid to obtain a plurality of segments, and determining the number of substations and transformers according to the capacity-to-load ratio requirements corresponding to each segment, specifically comprises:
classifying land parcels with different land use properties and development depths according to basic data of the existing power grid, and partitioning a power supply area according to classification results to obtain a plurality of power supply partitions;
determining the current situation category of each power supply partition according to the administrative level and the load density of the area, and meanwhile, when the area of the power supply partition is larger than a preset threshold value, combining the current situation category and dividing the power supply partition into a plurality of power supply areas by taking villages, street communities and small parks as units so as to obtain a plurality of areas, wherein the current situation category comprises: regional positioning, development depth and power grid conditions;
and calculating the sum of the capacities of the transformer substations required by the plurality of areas according to the existing capacity ratio value range, and determining the number of the transformer substations and the number of transformers contained in a single transformer substation according to the capacity type of the transformers of each distribution voltage level.
5. The medium voltage distribution network grid planning method according to claim 1, wherein the step of performing substation location according to a minimum load distance principle and obtaining a corresponding distribution network wiring path according to the substation location to obtain a path plan comprises the following steps:
based on the principle of minimum load distance, adopting a binary particle swarm algorithm to select the transformer substation sites, and obtaining corresponding distribution network wiring paths according to the transformer substation sites, thereby obtaining path planning.
6. The medium voltage distribution network grid planning method according to claim 1, wherein determining the type of the connection mode of the distribution network, optimizing the distribution network wiring path, and planning the connection line of the distribution network based on the shortest connection line length, specifically comprising:
the cable connection is used as a connection mode of the power distribution network;
combining geographic factors and economic factors, optimizing a distribution network wiring path on the basis of meeting the radial operation of a distribution network by taking the minimum loss as a target, and obtaining an optimal line path;
and carrying out tie line planning on the circuit of the power distribution network in a mode of coexistence of a single ring network as a main network and a small number of double ring networks.
7. The medium voltage distribution network grid planning method according to claim 1, wherein determining a connection mode and a connection plan between a distribution network and a substation specifically comprises:
three transformers are planned for each transformer substation, a single bus three-section two-circuit breaker wiring mode is adopted, each transformer supplies power for one bus, under normal conditions, the bus-tie circuit breaker is opened, and when one bus fails, the bus-tie circuit breaker is closed for load transfer.
8. A medium voltage distribution grid planning system, comprising:
the first planning unit is used for determining distribution voltage levels and power supply modes of grid planning according to basic data of the existing power grid;
the second planning unit is used for dividing the power supply area according to the basic data of the existing power grid to obtain a plurality of sections, and determining the number of substations and transformers according to the capacity-to-load ratio requirements corresponding to the sections;
the third planning unit is used for selecting the sites of the transformer substations according to the minimum load distance principle, and obtaining corresponding distribution network wiring paths according to the sites of the transformer substations so as to obtain path planning;
the fourth planning unit is used for determining the type of the wiring mode of the power distribution network, optimizing the wiring path of the power distribution network and planning the wiring of the power distribution network by taking the shortest length of the wiring line of the wiring frame as the principle;
and the fifth planning unit is used for determining a wiring mode and a wiring plan between the power distribution network and the transformer substation based on the aim of minimizing the electric energy loss on the transformer, so as to obtain a medium-voltage power distribution network grid planning scheme.
9. A medium voltage distribution grid planning apparatus, the apparatus comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the medium voltage power distribution grid planning method according to any one of claims 1-7 according to instructions in the program code.
10. A computer readable storage medium for storing program code for performing the medium voltage distribution grid planning method of any one of claims 1-7.
CN202311448371.1A 2023-11-01 2023-11-01 Medium-voltage distribution network grid planning method and related device Pending CN117473683A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311448371.1A CN117473683A (en) 2023-11-01 2023-11-01 Medium-voltage distribution network grid planning method and related device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311448371.1A CN117473683A (en) 2023-11-01 2023-11-01 Medium-voltage distribution network grid planning method and related device

Publications (1)

Publication Number Publication Date
CN117473683A true CN117473683A (en) 2024-01-30

Family

ID=89627078

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311448371.1A Pending CN117473683A (en) 2023-11-01 2023-11-01 Medium-voltage distribution network grid planning method and related device

Country Status (1)

Country Link
CN (1) CN117473683A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117764258A (en) * 2024-02-22 2024-03-26 广东电网有限责任公司广州供电局 Power supply path optimization method and device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117764258A (en) * 2024-02-22 2024-03-26 广东电网有限责任公司广州供电局 Power supply path optimization method and device

Similar Documents

Publication Publication Date Title
Gomez et al. Ant colony system algorithm for the planning of primary distribution circuits
CN109980642A (en) A kind of digital intelligent distribution network planning auxiliary system
Huang et al. Three-phase balancing of distribution feeders using immune algorithm
Hsiao et al. Optimal capacitor placement in distribution systems using a combination fuzzy-GA method
CN105141464A (en) Grid structure planning method for coordinated power transmission and distribution
CN104835018B (en) The reliability estimation method and device of medium voltage distribution network rack
CN117473683A (en) Medium-voltage distribution network grid planning method and related device
Florez et al. Multi-objective transmission expansion planning considering multiple generation scenarios
CN104766140A (en) Layered and segmented modularized power grid scheduling method
Mahdavi et al. Evaluating the effect of load growth on annual network losses in TNEP considering bundle lines using DCGA
CN112994017A (en) Distributed photovoltaic power supply site selection optimization method based on power distribution network probability load flow calculation
CN112329997A (en) Power demand load prediction method and system, electronic device, and storage medium
CN112989531B (en) Method and system for automatically generating platform-to-platform project planning scheme
CN105162110A (en) Configuration method for sectionalizing and interconnection switches of power distribution network
CN108155649A (en) A kind of consideration probabilistic distribution network structure Fuzzy Programmings of DG
Fletcher et al. A case study on optimizing an electrical distribution network using a genetic algorithm
CN112531655A (en) Rapid optimization configuration method and system for distribution network feeder line section switch
CN110414796B (en) AC/DC hybrid power distribution network frame planning method and device and storage medium
CN103020290B (en) Electric network information method of calibration and system
CN112446175B (en) Distributed power supply site selection optimization method based on power distribution network probability load flow calculation
Vítor et al. Optimal Volt/Var control applied to modern distribution systems
CN112116152A (en) Line loss double-rate optimization method and system based on synchronous data
CN102315646A (en) Maximum power capability based power distribution network communication validity and communication simplifying method
CN112365035B (en) Optimization method based on GIS map and non-dominated sorting differential evolution algorithm
CN114693094A (en) Converter station planning method and device, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination