CN112736897A - Grid structure optimization method based on load peak shifting - Google Patents

Grid structure optimization method based on load peak shifting Download PDF

Info

Publication number
CN112736897A
CN112736897A CN202011460140.9A CN202011460140A CN112736897A CN 112736897 A CN112736897 A CN 112736897A CN 202011460140 A CN202011460140 A CN 202011460140A CN 112736897 A CN112736897 A CN 112736897A
Authority
CN
China
Prior art keywords
load
grid structure
structure optimization
switch
ring
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
CN202011460140.9A
Other languages
Chinese (zh)
Inventor
李海龙
阮浩洁
许晓峰
林科振
何启晨
张立
郑隽杰
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.)
Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Original Assignee
Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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 Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd filed Critical Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Priority to CN202011460140.9A priority Critical patent/CN112736897A/en
Publication of CN112736897A publication Critical patent/CN112736897A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • Power Engineering (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a grid structure optimization method based on load peak shifting, which takes a ring network station of a distribution automation main station as a minimum unit and carries out the listing of candidate grid structure optimization schemes through a program association function of the distribution automation main station, and specifically comprises the following steps: the method comprises the steps of taking the maximum number of the associated target lines, the maximum capacity of the associated target lines, the maximum N-1 capacity of the looped network lines and the minimum load rate as constraint conditions, carrying out permutation and combination processing on the program associated lines and the switching stations, sequencing the lines formed by each permutation and combination according to the load rate from high to low, taking the lines formed by each permutation and combination as a space truss structure optimization candidate scheme, and selecting an optimal space truss structure optimization scheme according to daily load characteristic curve data of the space truss structure optimization candidate scheme.

Description

Grid structure optimization method based on load peak shifting
Technical Field
The invention relates to the field of power distribution network optimization, in particular to a grid structure optimization method based on load peak shifting.
Background
With the improvement of the living standard of people, the power load is rapidly increased, the peak-valley difference of the power grid load is continuously increased, the current power distribution equipment is designed according to the peak load demand, but the peak load duration is short, the utilization rate of a line is low, and certain waste is caused. For different types of electrical loads, their peak and valley times are not the same, and for the same type of load, the highest load generally occurs at a fixed time period, and in other time periods, the load is not high. Therefore, a new grid structure optimization method needs to be explored to utilize the peak and valley load characteristics of different types of loads to the maximum extent and improve the utilization rate of lines, line intervals and the like.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a grid structure optimization method based on load peak shifting, and improves the utilization rate of outgoing line intervals and the like of lines and transformer substations.
The purpose of the invention is realized by the following technical scheme:
a grid structure optimization method based on load peak shifting comprises the following steps:
the method comprises the following steps: collecting daily load characteristic data of each ring website by taking the ring website of the distribution automation master station as a minimum unit, and calculating the daily load characteristic data of each ring website to obtain the daily load characteristic curve data of each ring website;
step two: the automatic association function of the power distribution automation master station program is started, and the automatic association function specifically comprises the following steps: taking the maximum number of the associated target lines, the maximum capacity of the associated target lines, the maximum N-1 capacity of the looped network lines and the minimum load rate as constraint conditions, and carrying out permutation and combination processing on the program associated lines and the switching stations, wherein each permutation and combination formed line is sequenced from high to low according to the load rate, and each permutation and combination formed line is used as a grid structure optimization candidate scheme;
step three: and (3) with the ring network station of the distribution automation main station as a minimum unit, calculating daily load characteristic data of the grid structure optimization candidate scheme to obtain daily load characteristic curve data of the grid structure optimization candidate scheme, and selecting an optimal grid structure optimization scheme according to the daily load characteristic curve data of the grid structure optimization candidate scheme.
By analyzing the daily load characteristic data of each ring website, a new line is constructed, so that the power distribution equipment planned and designed according to the peak load demand can be utilized to the maximum extent. When the space truss structure optimization candidate scheme is provided, all the lines meeting the constraint conditions are used as a space truss structure optimization scheme, and the load rates of the lines are sorted from top to bottom so as to facilitate selection of the optimal space truss structure optimization scheme for subsequent selection. By comparing the curve characteristic data, the advantages and disadvantages of the grid structure optimization candidate schemes can be more visually seen.
Furthermore, each line in the ring network of the space truss structure optimization candidate scheme is connected with a ring network station with at least one load characteristic.
Different types of loads have different peak time periods, and lines with different types of load characteristics are connected, so that the line load is always in a peak state as much as possible, the line utilization rate is improved, and the load waste is reduced.
Further, the step three of selecting the optimal grid structure optimization scheme according to the daily load characteristic curve data of the grid structure optimization candidate scheme specifically includes the following steps:
1.1, calculating to obtain daily load curve variance values of all grid structure optimization candidate schemes;
1.2, sorting the variance values in a sequence from low to high;
1.3, selecting the space truss structure optimization scheme with the minimum variance value as the optimal space truss structure optimization scheme.
The smaller the variance value is, the closer the daily load curve is to a straight line, and the daily load curve close to the straight line shows that the line load service condition is always in a peak state under the space truss structure optimization scheme, so that the load utilization rate is highest.
Further, the daily load characteristic data of each ring network station in the first step includes load data of a switch station ring-in switch in each ring network station, load data of a switch station ring-out switch in each ring network station, and each distribution network bus load.
Further, the distribution network bus load is calculated by the following steps:
2.1 searching a switch on a backbone path of the ring website according to the static topology;
2.2, obtaining the corresponding relation between the distribution network bus and the distribution network switch on the main path by analyzing the connection relation between the switch station to which the distribution network switch belongs and the corresponding node;
2.3, historical sampling data of the distribution network switches on the corresponding trunk paths are obtained, the distribution network switch with the largest historical sampling data is a loop-in switch, and other distribution network switches are loop-out switches;
and 2.4, the load difference value between the ring-in switch position of the switching station and the ring-out switch position of the switching station is the distribution network bus load corresponding to the switching station.
The load service conditions in the ring network station need to be accurately acquired, so that the use peaks of different types of loads can be accurately mastered, and the construction efficiency of the grid structure optimization scheme is improved.
Further, the grid structure optimization candidate schemes are checked through load rate out-of-limit checking, ring network N-1 out-of-limit checking and checking whether the line load rate is larger than the lowest target load rate.
The safety of the wiring of the grid structure optimization candidate scheme is guaranteed, and the situation that faults such as line overload occur after the optimization is carried out according to the grid structure optimization candidate scheme is prevented.
Furthermore, when the arrangement combination processing of the program association circuit and the switch station is carried out in the step two, the necessary reserved circuit and the switch station fixed on the necessary reserved circuit are eliminated.
In order to optimize the grid structure, it is necessary to reserve necessary lines and switching stations on the lines, and to adjust the grid structure by adding other load characteristic lines mainly to the necessary lines and switching stations on the lines.
Further, the candidate grid structure optimization scheme comprises ring network station wiring recombination and ring network station wiring interval recombination.
The grid structure optimization candidate scheme not only designs line recombination, but also designs a wiring interval, and due to the continuous development of cities, the interval resources of power substations and the pipe gallery resources are increasingly tense, so that the new line interval design is unrealistic, the recombination design is directly carried out according to the existing wiring interval, and the resources are saved.
Further, a standby ring network station wiring interval is generated when the ring network station wiring interval is recombined, and the standby ring network station wiring interval is vacant.
The original wiring space is vacant, and can be reused when carrying out other optimization.
Furthermore, when the permutation and combination of the program association circuit and the switching station are carried out, the in-circuit switching station is formed after the permutation and combination is eliminated.
And the in-line switching stations formed after the arrangement and the combination are eliminated, so that the workload of the arrangement and the combination is reduced, and the optimization process is simplified.
The invention has the beneficial effects that:
the peak time quantum of utilizing the load of different grade type is different, through carrying out optimization transformation to spatial grid structure, is in the peak state with the circuit load rate for a long time, improves the circuit utilization ratio, and not only recombinates the circuit, still recombinates the design to the looped netowrk line interval under the prerequisite of not detaching original looped netowrk line interval, still reduces the waste to line interval resource, piping lane resource when optimizing the wiring. The method visually expresses the achievement of the space truss structure optimization scheme by adopting a load curve mode, visually saves the calculation time, and greatly improves the scheme selection efficiency.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a graph comparing load characteristics before and after optimization according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the figures and examples.
Example (b):
a grid structure optimization method based on load peak shifting, as shown in fig. 1, includes the following steps:
the method comprises the following steps: collecting daily load characteristic data of each ring website by taking the ring website of the distribution automation master station as a minimum unit, and calculating the daily load characteristic data of each ring website to obtain the daily load characteristic curve data of each ring website;
step two: the automatic association function of the power distribution automation master station program is started, and the automatic association function specifically comprises the following steps: taking the maximum number of the associated target lines, the maximum capacity of the associated target lines, the maximum N-1 capacity of the looped network lines and the minimum load rate as constraint conditions, and carrying out permutation and combination processing on the program associated lines and the switching stations, wherein each permutation and combination formed line is sequenced from high to low according to the load rate, and each permutation and combination formed line is used as a grid optimization candidate scheme; when the permutation and combination processing of the program association line and the switchyard is carried out, the necessary reserved line and the switchyard fixed on the necessary reserved line are excluded, the load rate of the switchyard bus fixed on the necessary reserved line is used as the initial load rate, and the switchyard belonging to the bus with the largest or smallest initial load increase is selected as the object of the permutation and combination of the program association line, so as to reduce the calculation amount of the permutation and combination.
Step three: based on the distribution automation main station, the ring network station is used as the minimum unit, daily load characteristic curve data of the grid structure optimization candidate scheme is obtained by calculating daily load characteristic data of the grid structure optimization candidate scheme, the optimal grid structure optimization scheme is selected according to the daily load characteristic curve data of the grid structure optimization candidate scheme, and the reserved line and the recombined line of the optimal grid structure optimization scheme are distinguished through colors, so that the work of constructors can be conveniently carried out.
And each line in the ring network of the grid structure optimization candidate scheme is connected with a ring network station with two load characteristics, namely a pure industrial load characteristic ring network station and a pure residential load characteristic ring network station.
In the third step, the selecting the optimal space truss structure optimization scheme according to the space truss structure optimization candidate scheme daily load characteristic curve data specifically comprises the following steps:
1.1, calculating to obtain daily load curve variance values of all grid structure optimization candidate schemes;
1.2, sorting the variance values in a sequence from low to high;
1.3, selecting the space truss structure optimization scheme with the minimum variance value as the optimal space truss structure optimization scheme.
As shown in fig. 2, after the optimal grid structure optimization scheme is selected, the load characteristic curve obtained after optimization is closer to a straight line than the load characteristic curve before optimization, that is, the line load service conditions are always more balanced, the electricity consumption valley time period is shorter, and the line utilization rate is fully improved.
The daily load characteristic data of each ring network station in the step one comprise load data of a switch station ring-in switch in each ring network station, load data of a switch station ring-out switch and each distribution network bus load.
The distribution network bus load is obtained by calculation through the following steps:
2.1 searching a switch on a backbone path of the ring website according to the static topology;
2.2, obtaining the corresponding relation between the distribution network bus and the distribution network switch on the main path by analyzing the connection relation between the switch station to which the distribution network switch belongs and the corresponding node;
2.3, historical sampling data of the distribution network switches on the corresponding trunk paths are obtained, the distribution network switch with the largest historical sampling data is a loop-in switch, and other distribution network switches are loop-out switches;
and 2.4, the load difference value between the ring-in switch position of the switching station and the ring-out switch position of the switching station is the distribution network bus load corresponding to the switching station.
And the grid structure optimization candidate schemes are checked through load rate out-of-limit checking, ring network N-1 out-of-limit checking and checking whether the line load rate is greater than the lowest target load rate.
The candidate network frame optimization scheme comprises ring network station wiring recombination and ring network station wiring interval recombination.
And generating a standby ring network station wiring interval when the ring network station wiring interval is recombined, wherein the standby ring network station wiring interval is vacant.
And eliminating the completed permutation and combination to form the in-circuit switching station when the permutation and combination of the program association circuit and the switching station are carried out.
The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.

Claims (10)

1.一种基于负荷错峰的网架结构优化方法，其特征在于，包括以下步骤：1. a grid structure optimization method based on load staggered peak, is characterized in that, comprises the following steps: 步骤一：以配电自动化主站的环网站为最小单元，采集每个环网站的日负荷特性数据并通过计算每个环网站的日负荷特性数据得到每个环网站的日负荷特性曲线数据；Step 1: Take the ring site of the main power distribution automation station as the smallest unit, collect the daily load characteristic data of each ring site, and obtain the daily load characteristic curve data of each ring site by calculating the daily load characteristic data of each ring site; 步骤二：开启配电自动化主站程序自动联想功能，具体为：以最大联想目标线路数、联想目标线路的最大容量、环网线路最大N-1容量和最低负荷率为约束条件，对程序联想线路和开关站进行排列组合处理，每一个排列组合形成线路按照负荷率从高到低进行排序，每一个通排列组合形成线路作为一种网架优化候选方案；Step 2: Turn on the automatic association function of the power distribution automation master station program, specifically: with the constraints of the maximum number of association target lines, the maximum capacity of the association target lines, the maximum N-1 capacity of the ring network line and the minimum load rate, the program association Lines and switch stations are arranged and combined, each arrangement and combination forming lines are sorted according to the load rate from high to low, and each permutation and combination forming line is used as a grid optimization candidate scheme; 步骤三：以配电自动化主站的环网站为最小单元，通过计算网架结构优化候选方案的日负荷特性数据得到网架结构优化候选方案日负荷特性曲线数据，根据网架结构优化候选方案日负荷特性曲线数据选择最优网架结构优化方案。Step 3: Taking the ring site of the main power distribution automation station as the smallest unit, by calculating the daily load characteristic data of the grid structure optimization candidate scheme, the daily load characteristic curve data of the grid structure optimization candidate scheme is obtained. The optimal grid structure optimization scheme is selected from the load characteristic curve data. 2.根据权利要求1所述的一种基于负荷错峰的网架结构优化方法，其特征在于，所述网架结构优化候选方案的环网内每条线路上均连接有具备至少一种负荷特性的环网站。2 . The method for optimizing a grid structure based on load staggering according to claim 1 , wherein each line in the ring network of the candidate grid structure optimization scheme is connected with at least one load. 3 . Features of the Ring site. 3.根据权利要求1所述的一种基于负荷错峰的网架结构优化方法方法，其特征在于，步骤三中所述根据网架结构优化候选方案日负荷特性曲线数据选择最优网架结构优化方案具体包括以下步骤：3. a kind of grid structure optimization method method based on load staggered peak according to claim 1, is characterized in that, described in step 3, selects optimal grid structure according to grid structure optimization candidate plan daily load characteristic curve data The optimization plan specifically includes the following steps: 1.1计算得到所有网架结构优化候选方案日负荷曲线方差值；1.1 Calculate the variance value of daily load curve of all grid structure optimization candidates; 1.2将方差值按照从低到高的顺序进行排序；1.2 Sort the variance values in order from low to high; 1.3选取方差值最小的网架结构优化方案为最优网架结构优化方案。1.3 Select the grid structure optimization scheme with the smallest variance value as the optimal grid structure optimization scheme. 4.根据权利要求1所述的一种基于负荷错峰的网架结构优化方法方法，其特征在于，步骤一中所述每个环网站的日负荷特性数据包括每个环网站内开关站环进开关的负荷数据、开关站环出开关的负荷数据以及每个配网母线负荷。4. a kind of grid structure optimization method method based on load staggered peak according to claim 1, is characterized in that, the daily load characteristic data of each ring site described in step 1 comprises the switch station ring in each ring site The load data of the incoming switch, the load data of the outgoing switch of the switch station, and the load of each distribution network bus. 5.根据权利要求4所述的一种基于负荷错峰的网架结构优化方法方法，其特征在于，所述配网母线负荷通过以下步骤计算得到：5. a kind of grid structure optimization method method based on load staggered peak according to claim 4, is characterized in that, described distribution network busbar load is calculated and obtained by following steps: 2.1根据静态拓扑搜索环网站主干路径上的开关；2.1 Search the switches on the backbone path of the ring website according to the static topology; 2.2通过分析配网开关所属开关站以及相应节点的连接关系得到配网母线与主干路径上配网开关的对应关系；2.2 The corresponding relationship between the distribution network busbar and the distribution network switch on the main path is obtained by analyzing the connection relationship between the switch station to which the distribution network switch belongs and the corresponding node; 2.3获取对应的主干路径上配网开关的历史采样数据，历史采样数据最大配网开关为环进开关，其他配网开关均为环出开关；2.3 Obtain the historical sampling data of the distribution network switch on the corresponding trunk path. The largest distribution network switch in the historical sampling data is the loop-in switch, and other distribution network switches are loop-out switches; 2.4开关站环进开关处和开关站环出开关处的负荷差值即为开关站对应的配网母线负荷。2.4 The load difference between the ring-in switch of the switch station and the ring-out switch of the switch station is the bus load of the distribution network corresponding to the switch station. 6.根据权利要求1所述的一种基于负荷错峰的网架结构优化方法方法，其特征在于，所述线路校核包括负载率越限校核、环网N-1越限校核和线路负荷率是否大于最低目标负荷率条件的校核。6. a kind of grid structure optimization method method based on load staggered peak according to claim 1, is characterized in that, described line check comprises load rate over-limit check, ring network N-1 over-limit check and Check whether the line load rate is greater than the minimum target load rate condition. 7.根据权利要求1所述的一种基于负荷错峰的网架结构优化方法方法，其特征在于，步骤二中进行程序联想线路和开关站的排列组合处理时，排除必要保留线路和固定在所述必要保留线路上的开关站。7. a kind of grid structure optimization method method based on load staggered peak according to claim 1, is characterized in that, when carrying out the arrangement and combination processing of program association line and switch station in step 2, eliminates necessary reservation line and is fixed in It is necessary to reserve the switchyard on the line. 8.根据权利要求1所述的一种基于负荷错峰的网架结构优化方法方法，其特征在于，网架优化候选方案包括环网站接线重组以及环网站接线间隔重组。8 . The method for optimizing the structure of a grid structure based on load staggering according to claim 1 , wherein the grid optimization candidate scheme includes the reorganization of ring site wiring and the reorganization of ring site wiring intervals. 9 . 9.根据权利要求7所述的一种基于负荷错峰的网架结构优化方法方法，其特征在于，所述环网站接线间隔重组时产生待用环网站接线间隔，所述待用环网站接线间隔空置。9. a kind of grid structure optimization method based on load staggered peak according to claim 7, is characterized in that, when described ring site wiring interval reorganization produces standby ring site wiring interval, described standby ring site wiring Space is vacant. 10.根据权利要求1所述的一种基于负荷错峰的网架结构优化方法方法，其特征在于，进行程序联想线路和开关站的排列组合时排除所述通过校验的排列组合形成线路内开关站。10. A kind of grid structure optimization method method based on load staggered peak according to claim 1, is characterized in that, when carrying out the arrangement and combination of program association line and switch station, the described arrangement and combination of passing verification are excluded to form in-line. switch station.
CN202011460140.9A 2020-12-11 2020-12-11 Grid structure optimization method based on load peak shifting Pending CN112736897A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011460140.9A CN112736897A (en) 2020-12-11 2020-12-11 Grid structure optimization method based on load peak shifting

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011460140.9A CN112736897A (en) 2020-12-11 2020-12-11 Grid structure optimization method based on load peak shifting

Publications (1)

Publication Number Publication Date
CN112736897A true CN112736897A (en) 2021-04-30

Family

ID=75599534

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011460140.9A Pending CN112736897A (en) 2020-12-11 2020-12-11 Grid structure optimization method based on load peak shifting

Country Status (1)

Country Link
CN (1) CN112736897A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117236530A (en) * 2023-11-16 2023-12-15 国网湖北省电力有限公司 Power energy consumption optimization method based on 4G/5G short shared power wireless communication
CN118295763A (en) * 2024-06-06 2024-07-05 邯郸鉴晨网络科技有限公司 Website construction system and method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104917173A (en) * 2015-06-01 2015-09-16 国网天津市电力公司 Power distribution network optimization method adapting to power distribution network high capacity load transfer
CN108879670A (en) * 2018-07-17 2018-11-23 国家电网公司 A kind of high voltage distribution network partition zone optimizing method
CN109256775A (en) * 2018-11-15 2019-01-22 南方电网科学研究院有限责任公司 Load combination optimization method and device based on demand side and storage medium
CN110490464A (en) * 2019-08-21 2019-11-22 国网浙江省电力有限公司杭州供电公司 A kind of urban power distribution network power supply capacity Tapping Potential Method based on line load recombination
CN111431173A (en) * 2020-03-30 2020-07-17 国网经济技术研究院有限公司 Medium-voltage distribution network ring network structure determination method and system considering load complementary characteristics

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104917173A (en) * 2015-06-01 2015-09-16 国网天津市电力公司 Power distribution network optimization method adapting to power distribution network high capacity load transfer
CN108879670A (en) * 2018-07-17 2018-11-23 国家电网公司 A kind of high voltage distribution network partition zone optimizing method
CN109256775A (en) * 2018-11-15 2019-01-22 南方电网科学研究院有限责任公司 Load combination optimization method and device based on demand side and storage medium
CN110490464A (en) * 2019-08-21 2019-11-22 国网浙江省电力有限公司杭州供电公司 A kind of urban power distribution network power supply capacity Tapping Potential Method based on line load recombination
CN111431173A (en) * 2020-03-30 2020-07-17 国网经济技术研究院有限公司 Medium-voltage distribution network ring network structure determination method and system considering load complementary characteristics

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
姜建等: "基于负荷重组的城市配电网供电能力提升研究", 《浙江电力》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117236530A (en) * 2023-11-16 2023-12-15 国网湖北省电力有限公司 Power energy consumption optimization method based on 4G/5G short shared power wireless communication
CN117236530B (en) * 2023-11-16 2024-02-09 国网湖北省电力有限公司 Power energy consumption optimization method based on 4G/5G short shared power wireless communication
CN118295763A (en) * 2024-06-06 2024-07-05 邯郸鉴晨网络科技有限公司 Website construction system and method
CN118295763B (en) * 2024-06-06 2024-08-30 合肥新理科技有限公司 Website construction system and method

Similar Documents

Publication Publication Date Title
CN110120668B (en) A method and system for automatic identification of station topology
CN110429714B (en) Cloud platform intelligent power distribution system based on big data
CN107730093B (en) System and method for power grid accident re-routing path
CN109447416B (en) A Reliability Analysis and Comprehensive Evaluation Method of Modular Distribution Network
Yang et al. Resilience-oriented hierarchical service restoration in distribution system considering microgrids
Huang et al. Three-phase balancing of distribution feeders using immune algorithm
CN105356610A (en) Configuration method of distribution automation terminal of intelligent power distribution network
CN111428376A (en) CIM (common information model) -based power distribution network feeder contact mode identification method and system
CN104318374A (en) Method for assessing reliability of medium voltage distribution network for calculating upstream power restoration operation time
CN103914788A (en) Reliability assessment method for power grid multi-link system
CN103944162A (en) Power distribution network fault recovery method based on real-time contingency sets
CN112134277B (en) Power grid topology optimization checking method and system based on full-grid marketing and distribution multi-source data
CN112736897A (en) Grid structure optimization method based on load peak shifting
CN107846015B (en) Optimal path selection method for load transfer in intelligent distribution network based on peer-to-peer communication
CN112950172A (en) Method for identifying topology of transformer area
CN113239526A (en) Power distribution network fault risk assessment method based on comprehensive probability algorithm
CN104778632A (en) Intelligent decision making aiding method and system for transfer power supply
CN113793039A (en) Medium and low voltage distribution network reliability assessment method considering multi-type terminals
CN105139081A (en) Highly reliable planning method for contact points in power distribution system
CN112907066A (en) Power distribution network online evaluation system based on network frame topology and multi-source data fusion
CN104537161B (en) A kind of medium voltage distribution network diagnostic analysis method based on power supply safety standard
CN110197302B (en) A Distribution Network Planning Method Considering Topological Constraints of Wiring Modes
CN112414462A (en) Multistage abnormal data processing method in transformer load condition monitoring
CN114336794B (en) Performance evaluation method and device for power distribution system
CN104242448A (en) Feeder automation and differentiation optimal configuration method for 10-kV power distribution network

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210430