CN110380411A - A kind of distribution network restoration power quantitative evaluating method for considering communication and influencing - Google Patents

A kind of distribution network restoration power quantitative evaluating method for considering communication and influencing Download PDF

Info

Publication number
CN110380411A
CN110380411A CN201910655035.1A CN201910655035A CN110380411A CN 110380411 A CN110380411 A CN 110380411A CN 201910655035 A CN201910655035 A CN 201910655035A CN 110380411 A CN110380411 A CN 110380411A
Authority
CN
China
Prior art keywords
distribution network
power
curve
load
power distribution
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
CN201910655035.1A
Other languages
Chinese (zh)
Inventor
刘冰倩
罗翔
张功林
王健
吴涵
黄建业
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.)
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
State Grid Fujian Electric Power Co Ltd
Original Assignee
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
State Grid Fujian 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 Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd, State Grid Fujian Electric Power Co Ltd filed Critical Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
Priority to CN201910655035.1A priority Critical patent/CN110380411A/en
Publication of CN110380411A publication Critical patent/CN110380411A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The present invention relates to a kind of distribution network restoration power quantitative evaluating methods for considering communication and influencing, and obtain the distribution network system running state information in extreme disaster coverage area first;After extreme disaster occurs, according to power distribution network physical state information, communication failure is not considered, consider the optimization aim including breakdown repair after the reconstruct of the rack of power distribution network and calamity, obtain the load variations curve A of regional distribution network;It is next assumed that the recovery of power distribution network cannot be completed according to set objective when communication system failure, distribution network load change curve B is obtained;Finally the influence by communication system under extreme disaster to distribution network restoration power is set to the area surrounded by curve A and curve B.The present invention can more accurately assess the restoring force size of power distribution network under extreme disaster, and quantitative analyze influence of the communication system failure to distribution network restoration power under extreme disaster.

Description

A kind of distribution network restoration power quantitative evaluating method for considering communication and influencing
Technical field
The present invention relates to electric power automation of distributive net technical field, especially a kind of distribution network restoration power for considering communication and influencing Quantitative evaluating method.
Background technique
Distribution network restoration power is used to the ability that description distribution system resists extreme natural calamity, is elastic power distribution network One of important indicator.How the status to take place frequently in face of extreme disaster effectively assesses the restoring force of power distribution network, reduces disaster to distribution It is lost caused by net, is that power distribution network develops one of critical issue urgently to be resolved.
Due to the extreme disaster such as typhoon destructive power with super strength, the electric system of power distribution network and communication system are all extensive Damage, traditional distribution network restoration force estimation method is not yet counted and communication systems leverage.On the one hand, distribution network restoration power at present It being established correlative study on the basis of power distribution network information is completely reachable more, once extreme disaster leads to distribution network communication system event Barrier, commanding can not will likely obtain in time state of electric distribution network information, and when restoring distribution network system, the damage of communication system Monitoring and control of the bad strong influence to distribution network system lead to the reduction of dispatching automation level, and then influence distribution The assessment of network recovery power;On the other hand, with the development of Information and Communication Technology, conventional electrical distribution net evolves as information and electric power The power distribution network information physical emerging system of depth integration, influence of the communication system to electric power is increasingly deep, and therefore, it is necessary in information Again distribution network restoration power is examined under the visual angle of physics closely.
Summary of the invention
In view of this, the purpose of the present invention is to propose to a kind of distribution network restoration power qualitative assessment sides for considering communication and influencing Method can more accurately assess the restoring force size of power distribution network under extreme disaster, and quantitative analyzing communicates under extreme disaster Influence of the system failure to distribution network restoration power.
The present invention is realized using following scheme: a kind of distribution network restoration power quantitative evaluating method for considering communication and influencing, tool Body the following steps are included:
Step S1: obtaining the distribution network system running state information in extreme disaster coverage area, including physical system with Communication system status information;
Step S2: after extreme disaster occurs, according to power distribution network physical state information, do not consider communication failure, consider packet The rack reconstruct for including power distribution network and the optimization aim including breakdown repair after calamity, obtain the load variations curve A of regional distribution network;
Step S3: assuming that when communication system failure, the recovery of power distribution network cannot be completed according to set objective, obtain power distribution network Load variations curve B;
Step S4: load curve A and F (t)=F0The area surrounded is the restoring force of power distribution network under conventional situation, and definition is negative Lotus curve B and F (t)=F0The area surrounded is the restoring force of power distribution network under extreme disaster, then communication system pair under extreme disaster The influence of distribution network restoration power is the area surrounded by curve A and curve B;Wherein F (t) is that distribution network system load performance is bent Line, F0For distribution network load original state.
Further, in step S2, the optimization aim includes that distribution network structure reconstruct objective function and repairing restore mesh Scalar functions;Wherein, distribution network structure reconstructs objective function are as follows:
Repairing restores objective function are as follows:
In formula, f1The non-faulting region load that can restore is reconstructed by rack for power distribution network, n is non-for that can restore electricity Malfunctioning node number, PLiFor the load of node i, f2The least disadvantage of Restoration stage is repaired for power distribution network, v is that power distribution network loss is single The value of position unit demand time, m are distribution network failure node total number, TLiFor the out-of-service time of node i.
Further, in step S3: considering communication system failure factor, the true load curve of obtained power distribution network is not lower than Consider distribution network load curve when communication systems leverage, obtain the restoring force of power distribution network after extreme calamity are as follows:
In formula, S1' it for the practical restoring force size of power distribution network under extreme disaster, F'(t) is power distribution network system under extreme disaster The actual load performance curve of system, t0For initial time, t3Moment, F are completed for repairing0Indicate distribution network load original state.
Further, in step S4: influence of the communication system to distribution network restoration power is calculated using following formula under extreme disaster:
In formula, S1The size of distribution network restoration power when not consider that communication influences, F (t) are what optimization object function obtained Distribution network system load performance curve, S1' it for the practical restoring force size of power distribution network under extreme disaster, F'(t) is extreme disaster The actual load performance curve of lower distribution network system, t0For initial time, t3The moment is completed for repairing.
Compared with prior art, the invention has the following beneficial effects: the present invention is directed to the assessment of current distribution network restoration power The status that Communication Information System influences had not been considered, and based on traditional distribution network restoration force estimation method, communication letter is added Influence of the breath system to power distribution network repairing process, the evaluation index of distribution network restoration power is redefined with the visual angle of information physical, The restoring force of power distribution network, and communication system caused by the extreme disaster of analysis that can be quantified can be more accurately assessed after extreme calamity Influence of the failure of uniting to distribution network restoration power.
Detailed description of the invention
Fig. 1 is distribution network load curve after calamity extreme under the conventional situation of the embodiment of the present invention.
Fig. 2 is distribution network load curve after the extreme calamity of the embodiment of the present invention.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
It is noted that described further below be all exemplary, it is intended to provide further instruction to the application.Unless another It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
A kind of distribution network restoration power quantitative evaluating method for considering communication and influencing is present embodiments provided, is specifically included following Step:
Step S1: obtaining the distribution network system running state information in extreme disaster coverage area, including physical system with Communication system status information;
Step S2: after extreme disaster occurs, according to power distribution network physical state information, do not consider communication failure, consider packet The rack reconstruct for including power distribution network and the optimization aim including breakdown repair after calamity, obtain the load variations curve A of regional distribution network;
Step S3: assuming that when communication system failure, the recovery of power distribution network cannot be completed according to set objective, obtain power distribution network Load variations curve B;
Step S4: load curve A and F (t)=F0The area surrounded is the restoring force of power distribution network under conventional situation, and definition is negative Lotus curve B and F (t)=F0The area surrounded is the restoring force of power distribution network under extreme disaster, then communication system pair under extreme disaster The influence of distribution network restoration power is the area surrounded by curve A and curve B;Wherein F (t) is that distribution network system load performance is bent Line, F0For distribution network load original state.
Preferably, for step S2, Communication Information System completely up to when, repairing process is divided into two after the calamity of power distribution network Step, each step is all the optimal restoration methods under power distribution network current state.The first step is that distribution network structure reconstructs fast quick-recovery The load in non-faulting region, second step are the load in repairing recovery distribution network failure region after calamity.
In the present embodiment, in step S2, the optimization aim includes that distribution network structure reconstruct objective function and repairing are extensive Complicated target function;Wherein, distribution network structure reconstructs objective function are as follows:
Repairing restores objective function are as follows:
In formula, f1The non-faulting region load that can restore is reconstructed by rack for power distribution network, n is non-for that can restore electricity Malfunctioning node number, PLiFor the load of node i, f2The least disadvantage of Restoration stage is repaired for power distribution network, v is that power distribution network loss is single The value of position unit demand time, m are distribution network failure node total number, TLiFor the out-of-service time of node i.
Preferably, for step S3, after extreme disaster occurs, after communication system failure leads to distribution network structure reconstruct and calamity Repairing cannot be carried out according to set reset mode, cause the load performance curve B of power distribution network lower than load curve A.
In the present embodiment, as shown in Figure 1, traditional distribution network restoration power Indexes Comparison commonly distribution network load lack The integral S of vector and time1, it calculates as follows:
However in practical situations, due to the obstruction of communication system failure, lead to the reduction of distribution network restoration power, such as Fig. 2 institute Show, the practical restoring force size of power distribution network under extreme disaster are as follows:
In formula, S1' it for the practical restoring force size of power distribution network under extreme disaster, F'(t) is power distribution network system under extreme disaster The actual load performance curve of system, t0For initial time, t3Moment, F are completed for repairing0Indicate distribution network load original state.
From which further follow that, as shown in Fig. 2, hatched area be under extreme disaster communication system failure it is extensive to power distribution network The influence of multiple power, i.e. in step S4: influence of the communication system to distribution network restoration power is using following formula calculating under extreme disaster:
In formula, S1The size of distribution network restoration power when not consider that communication influences, F (t) are what optimization object function obtained Distribution network system load performance curve, S1' it for the practical restoring force size of power distribution network under extreme disaster, F'(t) is extreme disaster The actual load performance curve of lower distribution network system, t0For initial time, t3The moment is completed for repairing.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
The above described is only a preferred embodiment of the present invention, being not that the invention has other forms of limitations, appoint What those skilled in the art changed or be modified as possibly also with the technology contents of the disclosure above equivalent variations etc. Imitate embodiment.But without departing from the technical solutions of the present invention, according to the technical essence of the invention to above embodiments institute Any simple modification, equivalent variations and the remodeling made, still fall within the protection scope of technical solution of the present invention.

Claims (4)

1. a kind of distribution network restoration power quantitative evaluating method for considering communication and influencing, which comprises the following steps:
Step S1: obtaining the distribution network system running state information in extreme disaster coverage area, including physical system with communicate System status information;
Step S2: after extreme disaster occurs, according to power distribution network physical state information, not considering communication failure, considers to include matching Optimization aim after the rack reconstruct of power grid and calamity including breakdown repair, obtains the load variations curve A of regional distribution network;
Step S3: assuming that when communication system failure, the recovery of power distribution network cannot be completed according to set objective, obtain distribution network load Change curve B;
Step S4: load curve A and F (t)=F0The area surrounded is the restoring force of power distribution network under conventional situation, and it is bent to define load Line B and F (t)=F0The area surrounded be extreme disaster under power distribution network restoring force, then under extreme disaster communication system to distribution The influence of network recovery power is the area surrounded by curve A and curve B;Wherein F (t) is distribution network system load performance curve, F0 For distribution network load original state.
2. a kind of distribution network restoration power quantitative evaluating method for considering communication and influencing according to claim 1, feature exist In in step S2, the optimization aim includes that distribution network structure reconstruct objective function and repairing restore objective function;Wherein, match Net Frame of Electric Network reconstructs objective function are as follows:
Repairing restores objective function are as follows:
In formula, f1The non-faulting region load that can restore is reconstructed by rack for power distribution network, n is the non-faulting that can be restored electricity Number of nodes, PLiFor the load of node i, f2The least disadvantage of Restoration stage is repaired for power distribution network, v is that power distribution network loss unit is negative The value of lotus unit time, m are distribution network failure node total number, TLiFor the out-of-service time of node i.
3. a kind of distribution network restoration power quantitative evaluating method for considering communication and influencing according to claim 1, feature exist In in step S3: considering communication system failure factor, the true load curve of obtained power distribution network, which is lower than, does not consider communication system shadow Distribution network load curve when ringing, obtains the restoring force of power distribution network after extreme calamity are as follows:
In formula, S1' for the practical restoring force size of power distribution network under extreme disaster, F'(t) be distribution network system under extreme disaster reality Border load performance curve, t0For initial time, t3Moment, F are completed for repairing0Indicate distribution network load original state.
4. a kind of distribution network restoration power quantitative evaluating method for considering communication and influencing according to claim 1, feature exist In in step S4: influence of the communication system to distribution network restoration power is calculated using following formula under extreme disaster:
In formula, S1The size of distribution network restoration power when not consider that communication influences, F (t) are the power distribution network that optimization object function obtains System loading performance curve, S1' it for the practical restoring force size of power distribution network under extreme disaster, F'(t) is distribution under extreme disaster The actual load performance curve of net system, t0For initial time, t3The moment is completed for repairing.
CN201910655035.1A 2019-07-19 2019-07-19 A kind of distribution network restoration power quantitative evaluating method for considering communication and influencing Pending CN110380411A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910655035.1A CN110380411A (en) 2019-07-19 2019-07-19 A kind of distribution network restoration power quantitative evaluating method for considering communication and influencing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910655035.1A CN110380411A (en) 2019-07-19 2019-07-19 A kind of distribution network restoration power quantitative evaluating method for considering communication and influencing

Publications (1)

Publication Number Publication Date
CN110380411A true CN110380411A (en) 2019-10-25

Family

ID=68254278

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910655035.1A Pending CN110380411A (en) 2019-07-19 2019-07-19 A kind of distribution network restoration power quantitative evaluating method for considering communication and influencing

Country Status (1)

Country Link
CN (1) CN110380411A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111144704A (en) * 2019-12-03 2020-05-12 积成电子股份有限公司 High-strength concurrent scheduling method for dealing with power distribution network disasters
CN111799785A (en) * 2020-07-03 2020-10-20 国网新疆电力有限公司电力科学研究院 Power and communication coordination recovery method and system for power distribution network after extreme disasters

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111144704A (en) * 2019-12-03 2020-05-12 积成电子股份有限公司 High-strength concurrent scheduling method for dealing with power distribution network disasters
CN111144704B (en) * 2019-12-03 2023-07-11 积成电子股份有限公司 High-strength concurrency scheduling method for dealing with power distribution network disasters
CN111799785A (en) * 2020-07-03 2020-10-20 国网新疆电力有限公司电力科学研究院 Power and communication coordination recovery method and system for power distribution network after extreme disasters
CN111799785B (en) * 2020-07-03 2023-11-28 国网新疆电力有限公司电力科学研究院 Method and system for coordinated recovery of power and communication of power distribution network after extreme disasters

Similar Documents

Publication Publication Date Title
US9625887B2 (en) Contingency screening in multi-control area electrical power systems using coordinated DC power flow
US20170214242A1 (en) System and method for assessing smart power grid networks
CN107862103B (en) Simulation model generation method and system based on ADPSS
Shuvro et al. Modeling cascading-failures in power grids including communication and human operator impacts
CN113420290B (en) Security detection method and system for power Internet of things equipment
CN113676360B (en) Link diagram repairing method based on Glangel causal relationship inspection and diagram similarity technology
CN110380411A (en) A kind of distribution network restoration power quantitative evaluating method for considering communication and influencing
CN113094975B (en) Smart grid node vulnerability assessment method, smart grid node vulnerability assessment system, smart grid node vulnerability assessment device and storage medium
US12039045B2 (en) Event analysis in an electric power system
Xu et al. Risk‐averse multi‐objective generation dispatch considering transient stability under load model uncertainty
Trakas et al. A severity risk index for high impact low probability events in transmission systems due to extreme weather
CN110187275A (en) A kind of magneto method for detecting health status and system
CN111159922A (en) Key line identification method and device for cascading failure of power system
CN108334427A (en) Method for diagnosing faults in storage system and device
KR102166116B1 (en) Method and apparatus for calculation of failure event probabilities from partially correlated combination probabilities for seismic probabilistic safety assessment of nuclear power plants
WO2014185921A1 (en) Systems and methods for meter placement in power grid networks
CN111598377A (en) Method and system for acquiring regional power grid reference risk on line
Nijhawan et al. On development of change point based generalized SRGM for software with multiple releases
CN109525437A (en) Distribution Network Communication node restoration methods and system
JP6811066B2 (en) Risk evaluation device, risk change evaluation method and program
CN112613626B (en) Method and device for monitoring running state of standby system and computer equipment
CN110391935B (en) Measurement degree evaluation method and system considering information physical coupling characteristics and information disturbance
CN114022013A (en) System protection fault scene generation method and device
CN106571969A (en) Cloud service availability assessment method and system
CN107194594B (en) IEC 61850-based back-to-back converter station physical information system reliability evaluation method

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: 20191025