CN110850199A - Power distribution network line heavy overload monitoring method - Google Patents

Power distribution network line heavy overload monitoring method Download PDF

Info

Publication number
CN110850199A
CN110850199A CN201911028246.9A CN201911028246A CN110850199A CN 110850199 A CN110850199 A CN 110850199A CN 201911028246 A CN201911028246 A CN 201911028246A CN 110850199 A CN110850199 A CN 110850199A
Authority
CN
China
Prior art keywords
overload
heavy
feeder
information
heavy overload
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.)
Granted
Application number
CN201911028246.9A
Other languages
Chinese (zh)
Other versions
CN110850199B (en
Inventor
王永明
陈宇星
殷自力
李宽宏
陈明
李吉昌
桂旭辉
张君泉
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.)
State Grid Fujian Electric Power Co Ltd
Integrated Electronic Systems Lab Co Ltd
Original Assignee
State Grid Fujian Electric Power Co Ltd
Integrated Electronic Systems Lab 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 State Grid Fujian Electric Power Co Ltd, Integrated Electronic Systems Lab Co Ltd filed Critical State Grid Fujian Electric Power Co Ltd
Priority to CN201911028246.9A priority Critical patent/CN110850199B/en
Publication of CN110850199A publication Critical patent/CN110850199A/en
Application granted granted Critical
Publication of CN110850199B publication Critical patent/CN110850199B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/80Information retrieval; Database structures therefor; File system structures therefor of semi-structured data, e.g. markup language structured data such as SGML, XML or HTML
    • G06F16/81Indexing, e.g. XML tags; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Tourism & Hospitality (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Water Supply & Treatment (AREA)
  • General Business, Economics & Management (AREA)
  • Power Engineering (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention relates to a method for monitoring heavy overload of a power distribution network line. The PMS system derives the ledger information such as the current-carrying capacity, the length and the like of the feeder section; the ledger information is transmitted to a DMS system of the I-area production control large area through a GOMS interface and the III management information large area; analyzing and calculating feeder sections of all lines in the DMS system, analyzing and calculating real-time current-carrying capacity, and synthesizing rated current-carrying capacity, heavy overload duration time and a set proportion to obtain heavy-load and overload feeder sections; classifying the heavy overload feeder sections, and judging whether the heavy overload feeder sections belong to too small wire diameters or too large loads in a power supply range by combining the CT transformation ratio of an outlet switch in a substation; different modes are processed for different types of heavy load overload conditions; real-time visual warning and displaying of overload information of heavy load; and counting different dimensions of historical overload information. The invention can quickly inspect and monitor the heavily overloaded feeder line section, realizes the advanced analysis of the operation trend of the power distribution network, and provides a measure for actively adopting preventive regulation and control.

Description

Power distribution network line heavy overload monitoring method
Technical Field
The invention belongs to the field of power system automation, and particularly relates to a power distribution network line heavy overload monitoring method.
Background
In the actual operation process of the power distribution network, due to the fact that a special operation mode needs to be adopted for power grid maintenance or equipment failure, the power equipment can be in a heavy load or overload state for a long time in an unplanned operation mode. The abnormal operation mode can cause equipment aging and affect the service life, and if timely and effective measures are not taken, the condition is easy to worsen, and even large-area power failure can be caused. The DMS system only realizes the heavy overload monitoring of a feeder line and a distribution transformer in the aspect of line heavy overload monitoring, but lacks relatively fine technical means in the aspects of conductor sections and visual monitoring of branch lines, and besides, the DMS system researches and judges the application in the aspects of heavy fault sensing and positioning and lacks an auxiliary decision means for the whole process of fault isolation, load transfer and power restoration.
The method is quite necessary for rapidly inspecting and monitoring the heavy overload equipment in time, realizing the advanced analysis of the operation trend of the power distribution network, providing measures for actively adopting preventive regulation and control and finishing the heavy overload monitoring method of the power distribution network line.
Disclosure of Invention
The invention aims to provide a method for monitoring the heavy overload of a power distribution network line, which realizes the automatic study, judgment and processing of the heavy overload of a feeder section on the power distribution network line.
In order to achieve the purpose, the technical scheme of the invention is as follows: a method for monitoring heavy overload of a power distribution network line is characterized in that account information including current-carrying capacity and length of a feeder line section is exported by a PMS system; the ledger information is transmitted to a DMS system of the I-area production control large area through a GOMS interface and the III-area management information large area; analyzing and calculating feeder sections of all lines in the DMS system, analyzing and calculating real-time current-carrying capacity, and synthesizing rated current-carrying capacity, heavy overload duration time and a set proportion to obtain heavy-load and overload feeder sections; classifying the heavy overload feeder sections, and judging whether the heavy overload feeder sections belong to too small wire diameters or too large loads in a power supply range by combining the CT transformation ratio of an outlet switch in a substation; different types of overload conditions are processed in different modes, and real-time visual alarm and display of overload information and different dimensionality statistics of historical overload information are achieved.
In an embodiment of the present invention, the specific implementation manner of performing different types of processing on different types of heavy-load overload conditions is as follows: and initiating a defect flow when the diameter is too small, and optimizing an operation mode by adopting a power supply conversion mode when the load is too large.
In an embodiment of the invention, after receiving the feeder section ledger information, the DMS parses the XML format file, imports the ledger information into the DMS, analyzes and calculates feeder sections of all lines, analyzes and calculates real-time current-carrying capacity, and obtains the heavy-load and overloaded feeder sections by integrating rated current-carrying capacity, heavy overload duration, and a set proportion.
In an embodiment of the invention, the real-time visual warning and display of the overload information are realized by coloring the feeder line section and identifying the overload feeder line section on the single line diagram.
Compared with the prior art, the invention has the following beneficial effects:
1. the method realizes real-time alarm of the heavily overloaded feeder section on the line, and ensures that the line safely runs in a controllable and visible mode;
2. the method automatically studies and judges the overload fault of the feeder line section on the line, avoids manual intervention calculation and greatly saves manpower;
3. the method automatically calculates the power conversion scheme during heavy overload, greatly improves the safety of a power grid system, avoids further expansion of faults, and improves the economic benefit of the power grid;
4. the method is incorporated into the full flow system of the existing DMS system, and forms a closed loop for processing the heavy overload fault, thereby ensuring the thoroughness of heavy overload handling.
Detailed Description
The following specifically describes the technical means of the present invention.
The invention provides a method for monitoring heavy overload of a power distribution network line, which comprises the steps of leading out ledger information comprising the current-carrying capacity and the length of a feeder line section by a PMS (permanent magnet synchronous motor) system; the ledger information is transmitted to a DMS system of the I-area production control large area through a GOMS interface and the III-area management information large area; analyzing and calculating feeder sections of all lines in the DMS system, analyzing and calculating real-time current-carrying capacity, and synthesizing rated current-carrying capacity, heavy overload duration time and a set proportion to obtain heavy-load and overload feeder sections; classifying the heavy overload feeder sections, and judging whether the heavy overload feeder sections belong to too small wire diameters or too large loads in a power supply range by combining the CT transformation ratio of an outlet switch in a substation; different types of overload conditions are processed in different modes, and real-time visual alarm and display of overload information and different dimensionality statistics of historical overload information are achieved.
The method of the invention is concretely realized as follows:
1) and (4) exporting the ledger information such as the current-carrying capacity and the length of the feeder section by the PMS, and transmitting the ledger information to the DMS system of the I-region production control large region through the GOMS interface and the III management information large region.
2) And after receiving the feeder section account information, the DMS system analyzes and calculates feeder sections of all lines, analyzes and calculates real-time current-carrying capacity, and synthesizes rated current-carrying capacity, heavy overload duration time and a set proportion to obtain heavy-load and overload feeder sections.
a. The feeder segment overloading is specifically defined: by default, more than 80% is overloaded for 1 hour, and more than 100% is overloaded. The time and the proportion are configurable.
b. The current of the target feed-forward line segment cannot be directly acquired by a system, and needs to be calculated through measurement of a switch and a distribution transformer. Because the number of feeder sections of the power grid is too large, the current calculation of the feeder sections needs time, so that the current of the feeder sections cannot be monitored in real time, and the load condition of a line needs to be periodically calculated in a quasi-real time manner.
c. The line current value is obtained by measurement calculation, but at present, equipment possibly has no measurement or obvious wrong measurement, and the system eliminates the measurement, so that the accuracy of a calculation result is improved. The measurement with the measurement value more than 2.5 times the load limit of the equipment is defined as bad data by default.
3) And classifying the heavily overloaded feeder line sections obtained after analysis and calculation, and judging whether the heavily overloaded feeder line sections belong to too small line diameters or too large loads in a power supply range by combining the CT transformation ratio of the outgoing switch in the substation.
a. And (4) line heavy overload treatment, wherein in the analysis service, if the current carrying capacity of the heavily overloaded feeder section is less than 50% of the CT transformation ratio of the outgoing switch, the reason of the current line heavy overload is judged to be that the line diameter is too small, otherwise, the line heavy overload is judged to be distribution transformer heavy overload.
b. After the specific reasons are pushed to a man-machine interface of a DMS system for display, the heavy overload feeder section with the small wire diameter can directly initiate a defect flow on the display interface, and the feeder section with the heavy overload of the distribution transformer can release a corresponding scheme.
4) And (3) real-time visual alarm and display of the overload information, wherein the overload feeder line section is marked by coloring the feeder line section on the single line diagram.
5) And (4) counting historical heavy overload information, and analyzing according to different dimensions such as time, feeder lines, stations and the like.
The invention provides a method for monitoring the heavy overload of a power distribution network line, which is shown by practical application to be correct and effective, ensure the accuracy and timeliness of the heavy overload alarm of a feeder line section on a DMS system single line diagram and optimize the operation mode of a power grid.
The above are preferred embodiments of the present invention, and all changes made according to the technical scheme of the present invention that produce functional effects do not exceed the scope of the technical scheme of the present invention belong to the protection scope of the present invention.

Claims (4)

1. A method for monitoring heavy overload of a power distribution network line is characterized in that ledger information including current-carrying capacity and length of a feeder line section is derived by a PMS system; the ledger information is transmitted to a DMS system of the I-area production control large area through a GOMS interface and the III-area management information large area; analyzing and calculating feeder sections of all lines in the DMS system, analyzing and calculating real-time current-carrying capacity, and synthesizing rated current-carrying capacity, heavy overload duration time and a set proportion to obtain heavy-load and overload feeder sections; classifying the heavy overload feeder sections, and judging whether the heavy overload feeder sections belong to too small wire diameters or too large loads in a power supply range by combining the CT transformation ratio of an outlet switch in a substation; different types of overload conditions are processed in different modes, and real-time visual alarm and display of overload information and different dimensionality statistics of historical overload information are achieved.
2. The method for monitoring the heavy overload of the power distribution network line according to claim 1, wherein the specific implementation manner of processing the different types of heavy overload situations in different manners is as follows: and initiating a defect flow when the diameter is too small, and optimizing an operation mode by adopting a power supply conversion mode when the load is too large.
3. The method for monitoring the heavy overload of the power distribution network line according to claim 1, wherein the DMS parses an XML format file after receiving the account information of the feeder sections, imports the account information into the DMS, analyzes and calculates the feeder sections of all the lines, analyzes and calculates the real-time ampacity, and obtains the feeder sections of the heavy load and the overload by integrating the rated ampacity, the duration of the heavy overload, and the set proportion.
4. The method for monitoring the heavy overload of the power distribution network line according to claim 1, wherein the real-time visual alarm and display of the heavy overload information are realized by coloring feeder line segments on a single line diagram to identify the heavy overload feeder line segments.
CN201911028246.9A 2019-10-28 2019-10-28 Power distribution network line heavy overload monitoring method Active CN110850199B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911028246.9A CN110850199B (en) 2019-10-28 2019-10-28 Power distribution network line heavy overload monitoring method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911028246.9A CN110850199B (en) 2019-10-28 2019-10-28 Power distribution network line heavy overload monitoring method

Publications (2)

Publication Number Publication Date
CN110850199A true CN110850199A (en) 2020-02-28
CN110850199B CN110850199B (en) 2022-03-08

Family

ID=69598126

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911028246.9A Active CN110850199B (en) 2019-10-28 2019-10-28 Power distribution network line heavy overload monitoring method

Country Status (1)

Country Link
CN (1) CN110850199B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111308168A (en) * 2020-03-31 2020-06-19 广东电网有限责任公司 Method, device and equipment for automatically generating line current limiting value
CN112615754A (en) * 2021-01-06 2021-04-06 章伟 Network fluctuation safety processing method and device based on big data
WO2022052146A1 (en) * 2020-09-08 2022-03-17 广东电网有限责任公司江门供电局 Heavy overload check method for load transfer decision of open-loop power grid
CN114944654A (en) * 2022-07-13 2022-08-26 广东电网有限责任公司佛山供电局 Method and system for analyzing real heavy load overload of line of photovoltaic access distribution network
CN116154772A (en) * 2023-04-23 2023-05-23 广东电网有限责任公司佛山供电局 Distribution network line current-carrying capacity rationality automatic analysis method, device and equipment
CN116151509A (en) * 2023-02-13 2023-05-23 国家电投集团数字科技有限公司 Power information management method and system based on data fusion

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120089264A1 (en) * 2007-08-27 2012-04-12 Patel Sureshchandra B System and method of loadflow calculation for electrical power system
CN104362637A (en) * 2014-12-03 2015-02-18 广东电网有限责任公司电力科学研究院 Low-voltage platform region intelligent management method based on forward-backward substitution algorithm
CN106451422A (en) * 2016-09-30 2017-02-22 国网江西省电力公司电力科学研究院 Simple 10kV distribution line load transfer risk assessment platform
CN107147215A (en) * 2017-05-16 2017-09-08 国网山东省电力公司 The Distribution Fault Location System and method of combined circuit overload data analysis
CN108665186A (en) * 2018-05-22 2018-10-16 广东电网有限责任公司电力科学研究院 Distribution transforming heavy-overload blackouts monitoring method and device based on metering automation system
CN109919523A (en) * 2019-04-10 2019-06-21 广州锐敏信息科技有限公司 The power grid peak load and heavy-overload big data analysis method calculated based on MapReduce polymerization

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120089264A1 (en) * 2007-08-27 2012-04-12 Patel Sureshchandra B System and method of loadflow calculation for electrical power system
CN104362637A (en) * 2014-12-03 2015-02-18 广东电网有限责任公司电力科学研究院 Low-voltage platform region intelligent management method based on forward-backward substitution algorithm
CN106451422A (en) * 2016-09-30 2017-02-22 国网江西省电力公司电力科学研究院 Simple 10kV distribution line load transfer risk assessment platform
CN107147215A (en) * 2017-05-16 2017-09-08 国网山东省电力公司 The Distribution Fault Location System and method of combined circuit overload data analysis
CN108665186A (en) * 2018-05-22 2018-10-16 广东电网有限责任公司电力科学研究院 Distribution transforming heavy-overload blackouts monitoring method and device based on metering automation system
CN109919523A (en) * 2019-04-10 2019-06-21 广州锐敏信息科技有限公司 The power grid peak load and heavy-overload big data analysis method calculated based on MapReduce polymerization

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张翠媚 等: "重过载设备监测功能在电力系统中的研究与应用", 《通讯世界》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111308168A (en) * 2020-03-31 2020-06-19 广东电网有限责任公司 Method, device and equipment for automatically generating line current limiting value
WO2022052146A1 (en) * 2020-09-08 2022-03-17 广东电网有限责任公司江门供电局 Heavy overload check method for load transfer decision of open-loop power grid
CN112615754A (en) * 2021-01-06 2021-04-06 章伟 Network fluctuation safety processing method and device based on big data
CN114944654A (en) * 2022-07-13 2022-08-26 广东电网有限责任公司佛山供电局 Method and system for analyzing real heavy load overload of line of photovoltaic access distribution network
CN116151509A (en) * 2023-02-13 2023-05-23 国家电投集团数字科技有限公司 Power information management method and system based on data fusion
CN116154772A (en) * 2023-04-23 2023-05-23 广东电网有限责任公司佛山供电局 Distribution network line current-carrying capacity rationality automatic analysis method, device and equipment
CN116154772B (en) * 2023-04-23 2023-07-04 广东电网有限责任公司佛山供电局 Distribution network line current-carrying capacity rationality automatic analysis method, device and equipment

Also Published As

Publication number Publication date
CN110850199B (en) 2022-03-08

Similar Documents

Publication Publication Date Title
CN110850199B (en) Power distribution network line heavy overload monitoring method
US8135550B2 (en) System for monitoring and assessing electrical circuits and method of operation
CN104407260A (en) Latent fault pre-warning method and device for distribution transformer
CN108667145A (en) Based on real-time online load intelligent terminal and its management control system
CN112946530A (en) Transformer turn-to-turn fault and phase identification method and system based on power loss
CN112001686A (en) Overhead line power failure studying and judging system
CN111077362A (en) Method and system for online monitoring running state of reactor in capacitor assembly
CN111142047B (en) Automatic studying and judging method based on power distribution internet of things power failure
CN108879948A (en) A kind of intelligent low-pressure cable branch box and its operation method and intelligent distribution area
CN201789274U (en) Intelligent monitor protective device of motor
CN104731037A (en) Energy-saving monitoring and controlling system
CN112737106B (en) Line loss abnormal segmentation control method
CN212433321U (en) On-line insulation monitoring device for turns of dry-type reactor
CN111426983A (en) Single-phase earth fault positioning system of power distribution overhead cable hybrid line
CN111426982A (en) Single-phase earth fault positioning method for power distribution overhead cable hybrid line
CN117129766A (en) Measurement method based on high-voltage side wireless transmission CT and fusion terminal
CN112067942A (en) 10 kV distribution line power failure research and judgment system and method
CN112448478B (en) Transformer load control method
CN112448479B (en) Comprehensive judging method for load condition of transformer
CN108258648A (en) A kind of low-voltage network malfunction monitoring localization method
CN211452651U (en) Transformer temperature electric power operation maintenance monitoring devices
WO2010130275A2 (en) Electrical power meter
CN106469902A (en) 10KV phase-loss low-voltage intelligent tripping protection device
CN107154674B (en) Power grid equipment linkage defect eliminating method based on Internet of things and framework thereof
CN216718521U (en) Portable distribution lines current detection device

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
GR01 Patent grant
GR01 Patent grant