CN114243918A - Join in marriage net double balance intelligence management and control system - Google Patents

Join in marriage net double balance intelligence management and control system Download PDF

Info

Publication number
CN114243918A
CN114243918A CN202111546925.2A CN202111546925A CN114243918A CN 114243918 A CN114243918 A CN 114243918A CN 202111546925 A CN202111546925 A CN 202111546925A CN 114243918 A CN114243918 A CN 114243918A
Authority
CN
China
Prior art keywords
data
module
signal connection
statistics
control system
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
CN202111546925.2A
Other languages
Chinese (zh)
Inventor
刘晓君
樊文博
郑波
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.)
Xi'an Bozpower Technology Co ltd
Original Assignee
Xi'an Bozpower Technology 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 Xi'an Bozpower Technology Co ltd filed Critical Xi'an Bozpower Technology Co ltd
Priority to CN202111546925.2A priority Critical patent/CN114243918A/en
Publication of CN114243918A publication Critical patent/CN114243918A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • 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]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00004Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
    • 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Power Engineering (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a distribution network double-balance intelligent management and control system which comprises system data, a user acquisition digital-analog, a real-time data acquisition module, a data processing module and a calculation module, wherein the system data is in signal connection with standing account data, the standing account data finishes system data arrangement, the standing account data is connected with a data cleaning module I, the data cleaning module I is connected with a data association module, the user acquisition data is in signal connection with an operation module, the operation module is in signal connection with a data cleaning module II, the data cleaning module II is also in signal connection with the data association module, the real-time data acquisition module is also in signal connection with the data association module, the calculation module sends data to a statistics module for statistics, and the comprehensive processing module is used for optimization processing. According to the invention, by perfecting the ledger of the data and performing the correlation compensation, the station area and the line loss can be reduced by performing the optimization processing by using the comprehensive processing module, the reactive flow of the line can be greatly reduced, the heavy overload rate of the distribution network is reduced, and the method is economical and practical.

Description

Join in marriage net double balance intelligence management and control system
Technical Field
The invention belongs to the technical field of power distribution network management, and particularly relates to a distribution network double-balance intelligent management and control system.
Background
The power distribution network is composed of overhead lines, cables, towers, distribution transformers, isolating switches, reactive power compensators, a plurality of accessory facilities and the like, and plays a role in distributing electric energy in the power network. The topology analysis of the power distribution network is to view the whole power distribution network into a line-point combined topological graph according to the connection relation of power distribution electrical elements, then to perform topology connection analysis of the whole network according to power supply nodes, switch nodes and the like, and is the basis of other analysis of the power distribution network such as state estimation, load flow calculation, fault positioning, isolation, power supply recovery, network reconstruction and the like.
The structure of the distribution network is large and complex, and the network structure is often changed due to a fault or opening and closing of a switch in a load transfer operation. As the basis of distribution network analysis, network topology calculation can meet the requirements of different high-level functions in distribution network automation, and can also realize the rapid tracking and identification of distribution network connectivity and adapt to event changes. At present, the existing research at home and abroad has a relational expression matrix representation method, a network base matrix representation method, a node elimination method, a tree search representation method, a discrete processing method and the like.
However, in the process of managing and controlling the power distribution network, the problems of low and high voltage complaints, heavy overload, high line loss, unbalanced three phases of loads and the like exist, fine management of the power distribution network is influenced, and further the production benefit of the power grid is influenced.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a distribution network double-balanced intelligent management and control system to solve the problems in the background art.
In order to solve the technical problems, the invention adopts the technical scheme that: a distribution network double-balance intelligent management and control system comprises system data, a user acquisition digital-analog, a real-time data acquisition module, a data processing module and a calculation module, wherein the system data is connected with standing account data through a system data signal, the system data is arranged through the standing account data, the standing account data signal is connected with a data cleaning module I, the arranged system data is cleaned through the data cleaning module I, and the data cleaning module I is connected with a data association module through a signal;
the user data acquisition signal is connected with an operation module, the operation module is in signal connection with a second data cleaning module, and the second data cleaning module is also in signal connection with the data association module;
the real-time data acquisition module is also in signal connection with the data association module, system data, a user acquisition digital-analog and the real-time data acquisition module are associated through the data association module, and the data association module is in signal connection with the data processing module and the calculation module;
the data processing module processes the associated abnormal data and respectively transmits the associated abnormal data to the standing book data and the operation module;
the calculation module is used for calculating and processing the associated data, the data are sent to the statistics module for statistics, the statistics module is further in signal connection with the comprehensive processing module, and comprehensive optimization processing operation of the data is performed through the comprehensive processing module.
Further, the comprehensive optimization processing of the statistical module is to initialize a filing space and a reference point, initialize individuals, update self-adaptation of the filing space and the reference point, select parent individuals according to the fitness value of each individual in a data population, select two individuals from the parent generation to cross each other each time, obtain candidate filial generations through crossing, put the population and generated filial generations into a candidate pool, perform non-dominated sorting on the individuals in the candidate pool, finally obtain a plurality of phase modulation schemes, and finally select the scheme with the minimum overall equivalent line loss value under the specific phase modulation times on the premise of meeting the maximum allowable station area unbalance degree to complete the optimization calculation processing.
Furthermore, the statistical module is also in signal connection with a query module, and query operation of statistical data in the statistical module is completed through the query module.
Furthermore, the statistical module is also in signal connection with a data display module, and the data statistically processed by the statistical module is displayed through the data display module.
Compared with the prior art, the invention has the following advantages:
according to the invention, by the machine account perfection and the associated compensation of data, the loss of a machine area and a line can be reduced, the reactive flow of the line can be greatly reduced, the heavy overload rate of a distribution network is reduced, after a capacitor of the machine area is put into use, the power factor of the line is obviously improved, and the problem of single-phase overload in winter is solved completely by three-phase load adjustment, the integral average unbalance degree of the machine area is reduced, the number of repair work orders is reduced, the quality of medium and low voltage electric energy is improved, after the reactive balance of the line, the voltage drop of the line is gradual, after the three-phase load of the machine area is adjusted, the original light-load phase voltage of the machine area is reduced by 15.5 volts on average, and the heavy-load phase voltage is increased by 10.2 volts on average; the average fluctuation range of the voltage of the transformer area is narrowed from about 40 volts to about 27 volts, and the voltage qualification rate is improved by about 30 percent. After the operation rate of the platform area leakage protection is improved and three-phase imbalance adjustment is carried out, the zero line current of the platform area is averagely reduced by 71%, and the two-stage leakage protection can be completely put into operation, so that the platform area leakage protection device is economical and practical.
Drawings
FIG. 1 is an exploded view of the overall structure of the present invention;
description of reference numerals:
1-system data; 2, collecting a digital model by a user; 3-standing account data; 41-a data cleaning module I; 42-data cleaning module two; 5-a real-time data acquisition module; 6-a data processing module; 7-operating the module; 8-a data association module; 9-a calculation module; 10-a statistical module; 11-a comprehensive processing module; 12-a query module; 13-data presentation module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides a technical solution: the utility model provides a join in marriage net double balance intelligence management and control system, includes system data 1, user collection digifax 2, real-time data acquisition module 5, and system data 1 is the platform account data that current system provided, and user collection digifax 2 is the operating data that current system provided, and real-time data acquisition module 5 is the field data, utilizes the data that individual topology analysis appearance gathered back, including the data that on-the-spot platform district topological graph, location, nuclear phase, asset correspond to gather.
The system data processing system comprises a data processing module 6 and a calculating module 9, wherein the system data 1 is in signal connection with the standing book data 3, the system data arrangement is completed through the standing book data 3, the standing book data 2 is in signal connection with a data cleaning module I41, the system data after the arrangement is cleaned through the data cleaning module I41, and the data cleaning module I41 is in signal connection with a data correlation module 8;
the user data acquisition 2 is in signal connection with an operation module 7, the operation module 7 is in signal connection with a second data cleaning module 42, and the second data cleaning module 42 is also in signal connection with a data association module 8;
the real-time data acquisition module 5 is also in signal connection with the data association module 8, the system data 1, the user acquisition digital-analog 2 and the real-time data acquisition module 5 are associated through the data association module 8, and the data association module 8 is in signal connection with the data processing module 6 and the calculation module 9;
the data processing module 6 processes the associated abnormal data and respectively transmits the associated abnormal data to the standing book data 3 and the operation module 7; finishing the system data arrangement again through the standing book data 3, and cleaning the system data after the arrangement through the data cleaning module I41, so that the association is performed again through the data association module 8, and the operation is repeated until all the association of the data is finished;
similarly, the abnormal data transmitted to the operation module 7 through the data processing module 6 is processed again through the operation module 7, and is cleaned again through the second data cleaning module 42, so that association is performed again through the second data association module 8, and the association is repeated until all association of the data is completed.
The calculation module 9 performs calculation processing on the associated data, and sends the calculated data to the statistics module 10 for statistics, the statistics module 10 is further in signal connection with the comprehensive processing module 11, and the comprehensive optimization processing operation of the data is performed through the comprehensive processing module 11.
The comprehensive optimization processing of the comprehensive processing module 11 is to initialize the filing space and the reference point, initialize the individuals, update the files and the self-adaptation of the reference point, select the parent individuals according to the fitness value of each individual in the data population, select two individuals from the parent for crossing each time, obtain candidate filial generations through crossing, put the population and the generated filial generations into a candidate pool, perform non-dominated sorting on the individuals in the candidate pool, finally obtain a plurality of phase modulation schemes, and finally select the scheme with the minimum overall equivalent line loss value under the specific phase modulation times on the premise of meeting the maximum allowable station area unbalance degree, thereby completing the optimization calculation processing.
The method specifically comprises the following steps:
s1, initializing an archiving space A and reference points R, wherein the number of the reference points is not more than the number of the population size on the premise of meeting the requirement of uniform distribution;
s2, initializing individuals, wherein the length of each individual, namely the problem dimension, is the number n of phase modulation units; for each phase modulation unit, there are and only three phase modulation options, denoted 0, -1, 1 respectively, for these three phase modulation operations, each of which can be initialized to:
x=(x1,...,xi,...,xn),xi∈{0,-1,1}
s3, self-adaptive updating of an archive A and a reference point R, putting the target vector value of each individual into the archive, then performing non-dominated sorting on all vectors in the archive, adjusting the individual and the reference point in the archive, calculating the distance from each point in the archive A to each reference point, and updating the archive;
s4, selecting a parent individual according to the fitness value of each individual in the population;
s5, performing crossover operation, namely selecting two individuals from the parent generation for crossover each time, obtaining 200 candidate filial generations through crossover, evaluating each filial generation, and updating a file and a reference point;
s6, selecting, namely, putting the population and the generated filial generation into a candidate pool, firstly, carrying out non-dominant sequencing on the individuals in the candidate pool, if the space remains in the population, calculating the fitness value of each individual in the k level according to IGD-NS, and then selecting the individual with the maximum fitness value to put into the population. Repeating the operation until the population is full;
s7, judging whether a stopping condition is met, and if so, outputting non-dominant individuals in the population; if not, repeating the steps S4-S6, and finally obtaining a plurality of phase modulation schemes;
and S8, after obtaining a plurality of non-dominated schemes, selecting the scheme with the minimum overall equivalent line loss value under a specific phase modulation frequency to complete optimization on the premise of meeting the maximum allowable station area unbalance degree.
The statistical module 10 is further connected with a query module 12 through a signal, and the query module 12 is used for completing query operation of statistical data in the statistical module 10.
The statistical module 10 is further connected with a data display module 13 through signals, and the data statistically processed by the statistical module 10 are displayed through the data display module 13.
The distribution network double-balance intelligent control system in the embodiment 1 can reduce the loss of the distribution area and the line, the specific line loss rate of the distribution area is reduced to 4.01% from 4.54% before adjustment, and the average reduction range is 11.74%; the reactive flow of the line can be greatly reduced, the maximum reduction amplitude is 51 percent, and the average reduction is 26 percent. The distribution network heavy overload rate is reduced;
and after the platform capacitor is put into use, the power factor of the line is obviously improved, the line with the maximum amplitude is improved from 0.868 to 0.964, the current is reduced from 87.2A to 78.3A, and the reduction amplitude is 10.2%. The average current of 5 lines is reduced by 4.6%. The platform area with the single-phase overload problem in winter is completely solved through three-phase load adjustment, the overload phase load rate is reduced to 65.2% from 128.7%, the integral average unbalance degree of the platform area is reduced to 27.19% from 73.32% before adjustment, and the average reduction range is 62.40%. The number of repair work orders is reduced, and the problem of low voltage at the tail ends of two lines is solved after the lines are subjected to reactive power adjustment in the using process; after the three-phase load is adjusted, the problem that end users of eight distribution areas cannot use electric appliances such as induction cookers in a load peak period is solved. The quality of the medium and low voltage electric energy is improved, the voltage drop of the line is gradually reduced after the line is in reactive balance, and the voltage at the tail end is increased by 0.08-0.12 kilovolt. After the three-phase load of the transformer area is adjusted, the original light-load phase voltage of the transformer area is averagely reduced by 15.5 volts, and the heavy-load phase voltage is averagely increased by 10.2 volts; the average fluctuation range of the voltage of the transformer area is narrowed from about 40 volts to about 27 volts, and the voltage qualification rate is improved by about 30 percent. After the operation rate of the transformer area leakage protection is improved and three-phase imbalance adjustment is carried out, the zero line current of the transformer area is averagely reduced by 71%, and the two-stage leakage protection can be completely put into operation.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (4)

1. The utility model provides a join in marriage net double balance intelligence management and control system which characterized in that: the system comprises system data (1), a user acquisition digital-analog (2), a real-time data acquisition module (5), a data processing module (6) and a calculation module (9), wherein the system data (1) is in signal connection with account data (3), the system data is sorted through the account data (3), the account data (2) is in signal connection with a data cleaning module I (41), the sorted system data is cleaned through the data cleaning module I (41), and the data cleaning module I (41) is in signal connection with a data association module (8);
the user data acquisition module (2) is in signal connection with an operation module (7), the operation module (7) is in signal connection with a second data cleaning module (42), and the second data cleaning module (42) is also in signal connection with the data association module (8);
the real-time data acquisition module (5) is also in signal connection with the data association module (8), the system data (1), the user acquisition digital-analog (2) and the real-time data acquisition module (5) are associated through the data association module (8), and the data association module (8) is in signal connection with the data processing module (6) and the calculation module (9);
the data processing module (6) processes the associated abnormal data and respectively transmits the associated abnormal data to the standing book data (3) and the operation module (7);
the calculation module (9) calculates the associated data, the calculated data are sent to the statistics module (10) for statistics, the statistics of the statistics module (10) is carried out, the statistics module (10) is in signal connection with the comprehensive processing module (11), and the comprehensive processing operation of the data is carried out through the comprehensive processing module (11) to complete the optimization of the data.
2. The distribution network double-balance intelligent management and control system according to claim 1, characterized in that the comprehensive processing module (11) is optimized by initializing an archive space and a reference point, initializing individuals, adaptively updating the archive space and the reference point, selecting parent individuals according to the fitness value of each individual in a data population, selecting two individuals from the parent for crossing each time, obtaining candidate offspring through crossing, putting the population and the generated offspring into a candidate pool, performing non-dominated sorting on the individuals in the candidate pool, finally obtaining a plurality of phase modulation schemes, and finally selecting the scheme with the minimum overall equivalent line loss value under a specific phase modulation frequency to complete optimization processing on the premise of meeting the maximum allowable station area imbalance degree.
3. The distribution network double-balance intelligent management and control system according to claim 2, characterized in that the statistical module (10) is further connected with a query module (12) through a signal, and query operation of statistical data in the statistical module (10) is completed through the query module (12).
4. The distribution network double-balance intelligent management and control system according to claim 2, characterized in that the statistical module (10) is further connected with a data display module (13) through a signal, and data statistically processed by the statistical module (10) is displayed through the data display module (13).
CN202111546925.2A 2021-12-16 2021-12-16 Join in marriage net double balance intelligence management and control system Pending CN114243918A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111546925.2A CN114243918A (en) 2021-12-16 2021-12-16 Join in marriage net double balance intelligence management and control system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111546925.2A CN114243918A (en) 2021-12-16 2021-12-16 Join in marriage net double balance intelligence management and control system

Publications (1)

Publication Number Publication Date
CN114243918A true CN114243918A (en) 2022-03-25

Family

ID=80757484

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111546925.2A Pending CN114243918A (en) 2021-12-16 2021-12-16 Join in marriage net double balance intelligence management and control system

Country Status (1)

Country Link
CN (1) CN114243918A (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008172923A (en) * 2007-01-11 2008-07-24 Toshiba Corp Distribution system control system
CN102722851A (en) * 2012-06-08 2012-10-10 上海市电力公司 Multi-data interface comprehensive line loss management system based on intelligent power grid technology
CN103914741A (en) * 2014-04-04 2014-07-09 上海君世电气科技有限公司 Line loss intelligent evaluation and assistant decision-making system for power distribution network
CN104680427A (en) * 2015-03-06 2015-06-03 国家电网公司 Planning system for comprehensive optimization of regional power distribution network
CN109086963A (en) * 2018-06-27 2018-12-25 国网浙江省电力有限公司电力科学研究院 A kind of line loss theoretical calculation lean management method
CN109189847A (en) * 2018-09-11 2019-01-11 国网山东省电力公司莱芜供电公司 A kind of distribution transforming decreasing loss detection prompt system and method
CN110942173A (en) * 2019-10-15 2020-03-31 合肥工业大学 Power distribution station energy-saving loss-reducing method based on load prediction and phase sequence optimization
WO2020147349A1 (en) * 2019-01-14 2020-07-23 中国电力科学研究院有限公司 Power distribution network operation aided decision-making analysis system and method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008172923A (en) * 2007-01-11 2008-07-24 Toshiba Corp Distribution system control system
CN102722851A (en) * 2012-06-08 2012-10-10 上海市电力公司 Multi-data interface comprehensive line loss management system based on intelligent power grid technology
CN103914741A (en) * 2014-04-04 2014-07-09 上海君世电气科技有限公司 Line loss intelligent evaluation and assistant decision-making system for power distribution network
CN104680427A (en) * 2015-03-06 2015-06-03 国家电网公司 Planning system for comprehensive optimization of regional power distribution network
CN109086963A (en) * 2018-06-27 2018-12-25 国网浙江省电力有限公司电力科学研究院 A kind of line loss theoretical calculation lean management method
CN109189847A (en) * 2018-09-11 2019-01-11 国网山东省电力公司莱芜供电公司 A kind of distribution transforming decreasing loss detection prompt system and method
WO2020147349A1 (en) * 2019-01-14 2020-07-23 中国电力科学研究院有限公司 Power distribution network operation aided decision-making analysis system and method
CN110942173A (en) * 2019-10-15 2020-03-31 合肥工业大学 Power distribution station energy-saving loss-reducing method based on load prediction and phase sequence optimization

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
曹磊: "低压台区三相负荷不平衡治理与监控系统", 中国优秀硕士学位论文全文数据库 (工程科技Ⅱ辑), vol. 2019, no. 5, pages 25 - 36 *

Similar Documents

Publication Publication Date Title
Haghifam et al. Genetic algorithm-based approach for fixed and switchable capacitors placement in distribution systems with uncertainty and time varying loads
Huang et al. Three-phase balancing of distribution feeders using immune algorithm
Kaur et al. Network reconfiguration of unbalanced distribution networks using fuzzy-firefly algorithm
Sardou et al. Modified shuffled frog leaping algorithm for optimal switch placement in distribution automation system using a multi-objective fuzzy approach
CN108280539A (en) The drops such as the reactive-load compensation based on rural power grids typical case's taiwan area line loss calculation damage optimization method
Anteneh et al. Distribution network reliability enhancement and power loss reduction by optimal network reconfiguration
CN106655207A (en) Power distribution network reactive power optimization system and method based on multi-data analysis
CN105932690B (en) A kind of distribution running optimizatin method of comprehensive idle work optimization and network reconfiguration
CN108462194B (en) Wide area optimization method for three-phase load imbalance of low-voltage power distribution network
CN109449934B (en) Transmission network blocking management and control method based on high-voltage distribution network partition reconstruction
Rong et al. Reconfiguration and capacitor placement for loss reduction of distribution system
CN114243918A (en) Join in marriage net double balance intelligence management and control system
CN112734590B (en) Two-stage regional power grid reactive power optimization method based on interior point method and dynamic programming method of variable domain search
Mahdavi et al. Genetic algorithm application in distribution system reconfiguration
Syahputra et al. An artificial immune system algorithm approach for reconfiguring distribution network
CN210224970U (en) Three-phase unbalanced phase-changing device for single-phase load
Bijwe et al. Ranking of line outages in an AC-DC system causing overload and voltage problems
CN105576658A (en) Method for analyzing economy of power distribution network reconstruction project on basis of wiring mode
Tzeng et al. Generic switching actions of distribution system operation using dynamic programming method
Ou et al. A hybrid programming for distribution reconfiguration of dc microgrid
Prakash et al. Optimal planning of DG and shunt capacitor in a harmonic distorted distribution network
CN104377689A (en) Loss reduction method and device for power distribution network
Ren et al. A comprehensive evaluation system of smart distribution grid based on AHP and adaptive correction
Salman et al. Optimal network reconfiguration for voltage sag mitigation in distribution systems using improved genetic algorithm
Lin et al. Optimal phase arrangement of distribution feeders using immune algorithm

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