CN103149492B - Micro-grid short circuit fault diagnose method based on intelligent electric meter - Google Patents

Micro-grid short circuit fault diagnose method based on intelligent electric meter Download PDF

Info

Publication number
CN103149492B
CN103149492B CN201310038790.8A CN201310038790A CN103149492B CN 103149492 B CN103149492 B CN 103149492B CN 201310038790 A CN201310038790 A CN 201310038790A CN 103149492 B CN103149492 B CN 103149492B
Authority
CN
China
Prior art keywords
micro
intelligent electric
electric meter
capacitance sensor
grid
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.)
Active
Application number
CN201310038790.8A
Other languages
Chinese (zh)
Other versions
CN103149492A (en
Inventor
杨宇全
袁世强
陈彦
李统焕
遇柄旭
迟福建
秦永保
杨滨
梁晓虎
李子乾
任国岐
马聪智
蔡凤军
郭新宇
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 Corp of China SGCC
Tianjin Electric Power Corp
Original Assignee
State Grid Corp of China SGCC
Tianjin Electric Power Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Tianjin Electric Power Corp filed Critical State Grid Corp of China SGCC
Priority to CN201310038790.8A priority Critical patent/CN103149492B/en
Publication of CN103149492A publication Critical patent/CN103149492A/en
Application granted granted Critical
Publication of CN103149492B publication Critical patent/CN103149492B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Photovoltaic Devices (AREA)

Abstract

The invention relates to a micro-grid short circuit fault diagnose method based on an intelligent electric meter. The method comprises the main steps: installing a micro-grid diagnosing host according to a fixed parameter; obtaining real-time data of a micro-grid; calculating a micro-grid feeder line branch; and comparing a calculation result and a reading number of the intelligent electric meter. According to the micro-grid short circuit fault diagnose method based on the intelligent electric meter, a computer of an existing micro-grid controlling system serves as the micro-grid diagnosing host, hardware devices are not needed to be additionally arranged, under the situation that the complexity degree of the system is not increased, short circuit faults in a micro-grid can be timely found and located through utilization of an existing intelligent electric meter in the micro-grid system, and operating personnel are reminded of carrying out processing. In addition, basic parameters of a diagnose system can be modified by the micro-grid operating personnel, and accuracy of a diagnose result is improved.

Description

A kind of micro-grid short circuit fault diagnose method based on intelligent electric meter
Technical field
The invention belongs to micro-capacitance sensor fault diagnosis technology field, propose a kind of micro-grid short circuit fault diagnose method based on intelligent electric meter, find and locate the short circuit trouble point in micro-capacitance sensor.
Background technology
Modern power distribution net fault diagnosis technology is difficult point and the focus of industry research always; exist in the industry in a large number about paper and the patent of short circuit fault of power distribution network diagnostic method; mostly based on Load flow calculation, optimization, artificial intelligence scheduling algorithm, the data source used comprises voltage transformer (VT), current transformer, electrical network basic parameter database, circuit breaker switch state, relay protection actuating signal, Trouble call phone etc.
Micro-capacitance sensor is a kind of emerging generating, electricity consumption network construction form, and its service area is limited, is usually less than the power distribution network of same electric pressure; Meanwhile, the information acquisition that adopts of micro-capacitance sensor and the communication technology are better than the power distribution network of same electric pressure usually.But micro-capacitance sensor exists some distinctive technical conditions, make fault diagnosis more difficult compared with conventional electrical distribution net.
Micro-capacitance sensor has different as follows compared with conventional electrical distribution net: conventional electrical distribution net structure radially; be in operation and usually only have a power supply point to provide lasting fault current; even if the dynamic elements such as the induction motor containing suitable composition in load, also oppositely can not provide fault current constantly because induction motor installs reverse-power protection additional.In micro-capacitance sensor everywhere can distributed power source and energy-storage battery; change the key character of the single-phase flowing of power distribution network electric current; even also may there is normal bidirectional current in the micro-capacitance sensor of radial structure, if configuration longitudinal differential protection, cost will significantly increase.In addition; distributed power source and energy-storage battery adopt inverter to access micro-capacitance sensor usually; still lasting fault current can be provided to trouble spot under micro-capacitance sensor network short fault condition; and due to inverter current-limiting protection and controlling functions; the fault current that distributed power source and energy-storage battery are provided is smaller; be on close level with normal load, the overcurrent protection scheme generally adopted in conventional electrical distribution net is no longer applicable.
To sum up, can may there is bidirectional current and the smaller feature of fault current in micro-capacitance sensor, add the difficulty of fault diagnosis, therefore, micro-capacitance sensor fault diagnosis should take the thinking being different from Fault Diagnosis of Distribution Network.
Summary of the invention
The object of the invention is for the deficiencies in the prior art, a kind of micro-grid short circuit fault diagnose method based on intelligent electric meter is provided, judge whether micro-capacitance sensor is short-circuited fault, and fault point branch road.
Patent of the present invention solves its technical matters and takes following technical scheme to realize:
Based on a micro-grid short circuit fault diagnose method for intelligent electric meter, step is as follows:
(1) micro-capacitance sensor diagnosis main frame preset parameter is installed;
(2) micro-capacitance sensor Real time data acquisition;
(3) micro-capacitance sensor feeder line branch road calculates;
(4) result of calculation and intelligent electric meter read-around ratio pair.
And described step (1) micro-capacitance sensor diagnosis main frame preset parameter installation specifically comprises micro-capacitance sensor wire topologies, line resistance, reactance, over the ground charging capacitor, distributed power source and the permissible value of energy-storage battery under accidental conditions.
And, described step (2) micro-capacitance sensor Real time data acquisition was specially diagnosis main frame every 1 minute, assigns instruction, obtain whole reading information of all intelligent electric meters in micro-capacitance sensor to meter-copy collector, meanwhile, diagnose main frame by monitoring that secondary circuit obtains all isolating switch folding conditions.
And, described step (3) micro-capacitance sensor feeder line branch road calculates specifically according to the above-mentioned whole reading information (2) walking all intelligent electric meters of gained, all isolating switch folding condition information carries out three-phase power flow, calculates electric current, the power of quick change-over switch, photovoltaic system, lithium battery energy storage battery system, blower fan, reactive-load compensation and active filter, load 1 and load 2 branch road.
And, described step (4) result of calculation and intelligent electric meter read-around ratio to being specially, (3) walk obtain quick change-over switch, photovoltaic system, lithium battery energy storage battery system, blower fan, reactive-load compensation and active filter, load 1 and load 2 branch road electric current, power, with corresponding intelligent electric meter I ~ VII read-around ratio pair, if the two error is within preset value, then judge that this intelligent electric meter place branch road running status is normal; If the two error is greater than preset value, then judge that this intelligent electric meter place membership is abnormal.
And, if certain phase current of calculating gained or active power are greater than intelligent electric meter reading, then judge this fault that is short-circuited mutually of this intelligent electric meter place branch road.
And, when micro-capacitance sensor is determined to be in normal operation, using the result of calculation (4) walked and the right error of intelligent electric meter read-around ratio as objective function, according to the optimum solving method of routine, revise the and be (1) installed on fixed data in micro-capacitance sensor diagnosis main frame in step, to improve the accuracy of fault diagnosis result.
Advantage and the good effect of patent of the present invention are:
1, the present invention just utilizes the computing machine of existing micro grid control system to diagnose main frame as micro-capacitance sensor, additionally do not add hardware device, when not increasing system complexity, utilize the short trouble that occurs in existing intelligent electric meter Timeliness coverage micro-capacitance sensor in micro-grid system and locate, reminding operations staff to be processed.
2, the present invention can in micro-capacitance sensor debug process, and micro-capacitance sensor operations staff can revise this diagnostic system underlying parameter, improves the accuracy of diagnostic result.
Accompanying drawing explanation
Fig. 1 is the system circuit diagram that the inventive method is applied.
Embodiment
Below in conjunction with accompanying drawing, patent Example of the present invention is further described: it is emphasized that embodiments of the invention are illustrative, instead of determinate, can not using the present embodiment as the restriction to patent of the present invention.
A kind of micro-grid short circuit fault diagnose method based on intelligent electric meter, the method for the micro-capacitance sensor of intelligent electric meter, for 0.4 kilovolt of micro-capacitance sensor, as shown in Figure 1, give a kind of 0.4 kilovolt of micro-grid system pie graph of typical structure, this system comprises photovoltaic system, lithium battery energy storage battery system, blower fan, reactive-load compensation and active filter, load 1, load 2, quick change-over switch, intelligent electric meter I, meter-copy collector and communication port thereof, wherein photovoltaic system comprises photovoltaic power generation apparatus, the combining inverter of photovoltaic power generation apparatus, the Intelligent electric Table II of photovoltaic power generation apparatus and isolating switch, lithium battery energy storage battery system comprises lithium ion battery energy storage device, two-way combining inverter, the Intelligent electric Table III of energy storage device and isolating switch, blower fan comprises wind power generation plant, the load governor of wind power generation plant and combining inverter, the Intelligent electric Table IV of wind power generation plant and isolating switch, reactive-load compensation and active filter comprise reactive-load compensation and active filter, intelligent electric meter V and isolating switch, feeder line branch road comprises load 1, load 2 and feeder line branch road, Intelligent electric Table VI, Intelligent electric Table VII and isolating switch.
The present invention arranges a micro-capacitance sensor short trouble diagnosis main frame on the basis of existing micro-grid system, this diagnosis main frame can be connected with meter-copy collector by means of communications such as RS-485 bus, Ethernets, and meter-copy collector is connected with the intelligent electric meter be distributed in micro-capacitance sensor by various means of communications such as RS-485 bus, ZigBee WLAN (wireless local area network), low voltage power line carrier, radio frequencies.Meanwhile, main frame is diagnosed to gather each isolating switch folding condition by traditional secondary circuit monitoring means.
Based on a micro-grid short circuit fault diagnose method for intelligent electric meter, its job step is as follows:
(1) micro-capacitance sensor diagnosis main frame preset parameter is installed:
Be installed to by the basic preset parameter meeting the calculating of micro-capacitance sensor conventional Load Flow on micro-capacitance sensor diagnosis main frame, these basic preset parameters comprise micro-capacitance sensor wire topologies, line resistance, reactance, over the ground charging capacitor, distributed power source and the permissible value of energy-storage battery under accidental conditions.
(2) micro-capacitance sensor Real time data acquisition:
Diagnosis main frame, every the set time, as 1 minute, assigns instruction to meter-copy collector, obtains whole reading information of all intelligent electric meters in micro-capacitance sensor, and meanwhile, diagnosis main frame is by monitoring that secondary circuit obtains all isolating switch folding conditions.
(3) each feeder line branch road of micro-capacitance sensor calculates:
(2) whole reading information of all intelligent electric meters of gained are walked according to above-mentioned the, all isolating switch folding condition information carries out three-phase power flow, calculates electric current, the power of quick change-over switch, photovoltaic system, lithium battery energy storage battery system, blower fan, reactive-load compensation and active filter, load 1 and load 2 branch road.
(4) result of calculation and intelligent electric meter read-around ratio pair:
(3) walk obtain quick change-over switch, photovoltaic system, lithium battery energy storage battery system, blower fan, reactive-load compensation and active filter, load 1 and load 2 branch road electric current, power, with corresponding intelligent electric meter I ~ VII read-around ratio pair, if error is all in preset range, as being not more than 5%, then judge that this feeder line branch road running status is normal; If the electric current of a certain intelligent electric meter reading and its place branch road, the relative error error of power exceed in preset range, as being greater than 5%, then judge the abnormal state of this intelligent electric meter place branch road, especially, if calculate certain phase current of gained or active power is greater than intelligent electric meter reading, then judge the corresponding branch road of this intelligent electric meter this fault that is short-circuited mutually.
Such as, if between Fig. 1 median generatrix B and bus C, there is single-phase grounding fault corresponding on the feeder line branch road of load 1,
If under micro-capacitance sensor operations staff certainty annuity is in normal operation, the result of calculation (4) walked and the right error of intelligent electric meter read-around ratio then can also be made to be objective function, according to the optimum solving method of routine, revise the fixed data that (1) the be installed on micro-capacitance sensor diagnosis main frame in step, to improve the accuracy of fault diagnosis result.

Claims (2)

1. based on a micro-grid short circuit fault diagnose method for intelligent electric meter, it is characterized in that: step is as follows:
(1) micro-capacitance sensor diagnosis main frame preset parameter is installed;
(2) micro-capacitance sensor Real time data acquisition;
(3) micro-capacitance sensor feeder line branch road calculates;
(4) result of calculation and intelligent electric meter read-around ratio pair;
Wherein, described step (1) micro-capacitance sensor diagnosis main frame preset parameter install and specifically comprise micro-capacitance sensor wire topologies, line resistance, reactance, over the ground charging capacitor, distributed power source and the permissible value of energy-storage battery under accidental conditions;
Wherein, described step (2) micro-capacitance sensor Real time data acquisition was specially diagnosis main frame every 1 minute, assigns instruction, obtain whole reading information of all intelligent electric meters in micro-capacitance sensor to meter-copy collector, meanwhile, diagnose main frame by monitoring that secondary circuit obtains all isolating switch folding conditions;
Wherein, described step (3) micro-capacitance sensor feeder line branch road calculates specifically according to the above-mentioned whole reading information (2) walking all intelligent electric meters of gained, all isolating switch folding condition information carries out three-phase power flow, calculates electric current, the power of quick change-over switch, photovoltaic system, lithium battery energy storage battery system, blower fan, reactive-load compensation and active filter, load 1 and load 2 branch road;
Wherein, described step (4) result of calculation and intelligent electric meter read-around ratio to being specially, (3) walk obtain quick change-over switch, photovoltaic system, lithium battery energy storage battery system, blower fan, reactive-load compensation and active filter, load 1 and load 2 branch road electric current, power, with corresponding intelligent electric meter I ~ VII read-around ratio pair, if the two error is within preset value, then judge that this intelligent electric meter place branch road running status is normal; If the two error is greater than preset value, then judge that this intelligent electric meter place membership is abnormal;
And, if certain phase current of calculating gained or active power are greater than intelligent electric meter reading, then judge this fault that is short-circuited mutually of this intelligent electric meter place branch road.
2. the micro-grid short circuit fault diagnose method based on intelligent electric meter according to claim 1, it is characterized in that: when micro-capacitance sensor is determined to be in normal operation, using the result of calculation (4) walked and the right error of intelligent electric meter read-around ratio as objective function, according to the optimum solving method of routine, revise the and be (1) installed on fixed data in micro-capacitance sensor diagnosis main frame in step, to improve the accuracy of fault diagnosis result.
CN201310038790.8A 2013-02-01 2013-02-01 Micro-grid short circuit fault diagnose method based on intelligent electric meter Active CN103149492B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310038790.8A CN103149492B (en) 2013-02-01 2013-02-01 Micro-grid short circuit fault diagnose method based on intelligent electric meter

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310038790.8A CN103149492B (en) 2013-02-01 2013-02-01 Micro-grid short circuit fault diagnose method based on intelligent electric meter

Publications (2)

Publication Number Publication Date
CN103149492A CN103149492A (en) 2013-06-12
CN103149492B true CN103149492B (en) 2015-04-29

Family

ID=48547685

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310038790.8A Active CN103149492B (en) 2013-02-01 2013-02-01 Micro-grid short circuit fault diagnose method based on intelligent electric meter

Country Status (1)

Country Link
CN (1) CN103149492B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103472351B (en) * 2013-09-12 2016-02-03 国家电网公司 Distribution line abnormality monitoring method and device
CN104020393B (en) * 2014-04-15 2017-01-04 国家电网公司 A kind of with electrical network one-phase short-circuit current Fault Locating Method
CN104267313A (en) * 2014-09-25 2015-01-07 广东易事特电源股份有限公司 Micro grid system feeder line fault type distinguishing and fault point positioning method
CN106526425A (en) * 2016-11-23 2017-03-22 衢州学院 Low-voltage diagnosis method based on real collected data of intelligent electric meter
CN106646038A (en) * 2016-11-30 2017-05-10 衢州学院 Low-voltage diagnosis system on basis of data acquired by intelligent electric meter in real time
CN111767292B (en) * 2020-05-26 2024-07-02 宁波三星医疗电气股份有限公司 File fault-tolerant method for ammeter communication module
CN114172270B (en) * 2021-12-06 2024-08-13 广东电网有限责任公司 Distribution area intelligent terminal computing resource self-adaptive allocation method and system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201332267Y (en) * 2008-12-31 2009-10-21 中国神华能源股份有限公司 Electric energy monitoring system
CN101968525A (en) * 2010-10-09 2011-02-09 杭州市电力局 Fault positioning method for power distribution network by combining simulation calculation and real-time monitoring
EP2388879A1 (en) * 2010-04-29 2011-11-23 ABB Research Ltd. Protection of power lines
CN102497021A (en) * 2011-12-14 2012-06-13 广东电网公司佛山供电局 Real-time monitoring and analysis system for distribution circuit
CN102495333A (en) * 2011-11-25 2012-06-13 北京金风科创风电设备有限公司 Internal fault judgment method for micro-grid power system
CN102901868A (en) * 2012-09-14 2013-01-30 安徽省电力公司 Method for electric energy acquisition system data checking

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201332267Y (en) * 2008-12-31 2009-10-21 中国神华能源股份有限公司 Electric energy monitoring system
EP2388879A1 (en) * 2010-04-29 2011-11-23 ABB Research Ltd. Protection of power lines
CN101968525A (en) * 2010-10-09 2011-02-09 杭州市电力局 Fault positioning method for power distribution network by combining simulation calculation and real-time monitoring
CN102495333A (en) * 2011-11-25 2012-06-13 北京金风科创风电设备有限公司 Internal fault judgment method for micro-grid power system
CN102497021A (en) * 2011-12-14 2012-06-13 广东电网公司佛山供电局 Real-time monitoring and analysis system for distribution circuit
CN102901868A (en) * 2012-09-14 2013-01-30 安徽省电力公司 Method for electric energy acquisition system data checking

Also Published As

Publication number Publication date
CN103149492A (en) 2013-06-12

Similar Documents

Publication Publication Date Title
CN103149492B (en) Micro-grid short circuit fault diagnose method based on intelligent electric meter
Talaat et al. Hybrid-cloud-based data processing for power system monitoring in smart grids
Bayindir et al. Smart grid technologies and applications
Kabalci et al. Introduction to smart grid architecture
CN103337869B (en) A kind of method of novel battery energy-storage system and function integration design thereof
CN102611172B (en) Standard design of electric automobile charging facility
FI126892B (en) Felströmindikator
CN203166626U (en) Intelligent traction substation
CN106199341A (en) Faulty line recognition methods under a kind of single-phase fault ground connection operating mode and device
WO2020143492A1 (en) Terminal phase sequence automatic identification method
CN103956716A (en) Micro-grid dynamic self-adapting relay protection method and self-adapting protection device
CN108649575B (en) Alternating current-direct current hybrid micro-grid and protection control center and protection control method thereof
CN109086518A (en) A kind of method of intelligent substation power transmission and transformation primary equipment status assessment
Bindhu et al. Effective automatic fault detection in transmission lines by hybrid model of authorization and distance calculation through impedance variation
CN105071429A (en) Feasibility analyzing method for accessing distributed power supplies into transformer station based on voltage deviation
Yinger et al. Good vibrations
CN205622226U (en) Contain single triphase many microgrids of series -parallel connection structured light storage type system
Miller et al. Smart grid opportunities in islanding detection
CN114287093A (en) Method and system for estimating and monitoring power distribution network conditions
CN104698342B (en) A kind of electrical power distribution network fault location method based on load point state and path logic computing
CN201378176Y (en) High-precision anti-interference excitation power supply for ground screen flaw comprehensively-diagnosing system in transformer substation
CN204287858U (en) A kind of intelligent agriculture row table
CN104460459A (en) Intelligent agricultural drainage meter
CN203117343U (en) Microgrid short circuit fault diagnosis system based on intelligent electric meters
Liao et al. Optimal smart grid operation and control enhancement by edge computing

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant