CN106992512A - A kind of power network weakness zone on-line identification method - Google Patents

A kind of power network weakness zone on-line identification method Download PDF

Info

Publication number
CN106992512A
CN106992512A CN201611187292.XA CN201611187292A CN106992512A CN 106992512 A CN106992512 A CN 106992512A CN 201611187292 A CN201611187292 A CN 201611187292A CN 106992512 A CN106992512 A CN 106992512A
Authority
CN
China
Prior art keywords
current failure
failure
current
accident
event
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
CN201611187292.XA
Other languages
Chinese (zh)
Inventor
曾凯文
刘嘉宁
陈钢
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 Dispatch Control Center of Guangdong Power Grid Co Ltd
Original Assignee
Electric Power Dispatch Control Center of Guangdong Power Grid 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 Dispatch Control Center of Guangdong Power Grid Co Ltd filed Critical Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Priority to CN201611187292.XA priority Critical patent/CN106992512A/en
Publication of CN106992512A publication Critical patent/CN106992512A/en
Pending legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/30—Circuit design
    • G06F30/36—Circuit design at the analogue level
    • G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation

Abstract

The embodiment of the invention discloses a kind of power network weakness zone on-line identification method, for solving, existing power network weakness zone discrimination method is no and Real-Time Power System Operation States are associated, it is often on electric network composition or weakness zone of the power network under certain malfunction that it, which picks out the power network weakness zone come, is not the technical problem of the weakness zone under current electric grid running statu.A kind of power network weakness zone on-line identification method of the embodiment of the present invention includes：Operation of power networks state is obtained from current EMS system, and cascading failure emulation is carried out by OPA models of having a power failure on a large scale, and receives preset fault set；The load loss of current failure is counted, each node accident of current failure or event class is judged, and counts current failure dead electricity nodes, excision circuit number, current failure disaster degree, risk factor is calculated；By each node accident or event class of current failure, current failure disaster degree, risk factor, the accident or event harm value of each node of current failure are calculated.

Description

A kind of power network weakness zone on-line identification method
Technical field
The present invention relates to power network weakness zone field, more particularly to a kind of power network weakness zone on-line identification method.
Background technology
Continuous expansion and structure with power network scale is increasingly sophisticated, and worldwide large area blackout is in more Hair trend, and cause huge economic loss and serious social influence.It is straight with raising, many feed-ins of power network complexity The presence of transmission of electricity and the continuous exacerbation of load are flowed, the nargin of power grid operation is gradually reduced, receiving end net reactive power support ability Deficiency, system damping is relatively weak, once occurring such as multiple compound contingency, receiving end loses big power supply or important line peace The catastrophe failure such as full-automatic device tripping and malfunction, the possibility that occurrence of large-area has a power failure will be very big.
Research shows, power system large-scale blackout be typically due to a certain element fault in system cause it is a series of its Caused by the chain reaction that his element is stopped transport, a small number of weak link of power network is in the process for causing extensive cascading failure to occur In play a crucial role.Therefore, power network weakness zone is recognized, to improving power system power supply reliability, it is to avoid occurrence of large-area is stopped Electricity has profound significance.
At present, two classes are broadly divided on power system weakness zone discrimination method, first kind research with Load flow calculation and Stability analysis is core, using deterministic parsing method or the probability analysis method based on Risk Theory come study description electricity The system integrality and behavioral characteristic of Force system cascading failure, targetedly carry out POWER SYSTEM STATE assessment and fragility Identification.Equations of The Second Kind is studied from the angle of complex network, using power network topology as core, by electric power networks it is abstract be general Network model, by studying network topology characteristic parameter, the weak link of identification network in structure.This two classes method does not all have It is real-time change to have consideration power system real time operation mode, and the weak link of power network may also become because of power system operating mode Change and change.
The content of the invention
The embodiments of the invention provide a kind of power network weakness zone on-line identification method, existing power network weak area is solved Domain discrimination method is no and Real-Time Power System Operation States are associated, and it is often electricity that it, which picks out the power network weakness zone come, It is not the weak area under current electric grid running statu on web frame or weakness zone of the power network under certain malfunction The technical problem in domain.
A kind of power network weakness zone on-line identification method provided in an embodiment of the present invention, including：
Step 1：From current EMS system obtain operation of power networks state, and by OPA have a power failure on a large scale model carry out cascading failure Emulation, receives preset fault set；
Step 2：The load loss of current failure is counted, each node accident of current failure or event class is judged, and count Current failure dead electricity nodes, excision circuit number, calculate current failure disaster degree, risk factor；
Step 3：Pass through each node accident or event class of current failure, current failure disaster degree, risk factor, meter Calculate the accident or event harm value of each node of current failure.
Preferably,
The step 2 is specifically included：
The load loss of current failure is counted, by preset criterion, each node accident of current failure or thing is judged Part grade, and count current failure dead electricity nodes NBP, excision circuit number NBL, pass through disaster degree formula：
Current failure disaster degree λ is calculated, passes through Hazard factor formula：
Current failure j interior joints i accident or event are calculated for the Hazard factor η of the whole network, wherein NLIt is total for circuit Number, N are node total number, NBPFor current failure dead electricity nodes, NBLFor current failure excision circuit number, Ploss,iFor current event Subtracting for barrier j interior joints i supplies load, Pj,lossAlways subtract for current failure j the whole network and supply load.
Preferably,
The step 3 is specifically included：
By each node incident classification of current failure, current failure disaster degree λ, Hazard factor η, pass through harm value meter Calculate formula w=α λ [dk,min+η(dk,max-dk,min)], calculate the accident or event harm value w, wherein α of each node of current failure For regulatory factor, k is that, by subtracting the incident classification judged for load proportion, k=1~6 correspond to major accident to three-level respectively Event, dk,min、dk,maxRespectively respective level accident, event endanger the interval upper limit value and lower limit value of score value.
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below：
A kind of power network weakness zone on-line identification method provided in the embodiment of the present invention, including step 1：From current EMS System obtains operation of power networks state, and carries out cascading failure emulation by OPA models of having a power failure on a large scale, and receives preset fault set；Step Rapid 2：The load loss of current failure is counted, each node accident of current failure or event class is judged, and count current failure mistake Electrical nodes number, excision circuit number, calculate current failure disaster degree, risk factor；Step 3：Pass through each node thing of current failure Therefore or event class, current failure disaster degree, risk factor, calculate each node of current failure accident or event harm value.This In embodiment, by from current EMS system obtain operation of power networks state, and by OPA have a power failure on a large scale model carry out cascading failure Emulation, receives preset fault set；The load loss of current failure is counted, each node accident of current failure or event etc. is judged Level, and current failure dead electricity nodes, excision circuit number are counted, calculate current failure disaster degree, risk factor；By current Each node accident or event class of failure, current failure disaster degree, risk factor, calculate the accident of each node of current failure Or event harm value, solve existing power network weakness zone discrimination method not and Real-Time Power System Operation States be associated, It is often on electric network composition or weakness zone of the power network under certain malfunction that it, which picks out the power network weakness zone come, It is not the technical problem of the weakness zone under current electric grid running statu.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will to embodiment or The accompanying drawing used required in description of the prior art is briefly described, it should be apparent that, drawings in the following description are only Some embodiments of the present invention, for those of ordinary skill in the art, without having to pay creative labor, Other accompanying drawings can also be obtained according to these accompanying drawings.
A kind of stream of one embodiment of the power network weakness zone on-line identification method provided in Fig. 1 embodiment of the present invention Journey schematic diagram；
A kind of another embodiment of the power network weakness zone on-line identification method provided in Fig. 2 embodiment of the present invention Schematic flow sheet；
The a certain moment running status schematic diagram of a kind of power network 500kv main grid structures provided in Fig. 3 embodiment of the present invention；
A kind of power network 500kv main grid structures weakness zone identification result schematic diagram provided in Fig. 4 embodiment of the present invention.
Embodiment
It is weak for solving existing power network the embodiments of the invention provide a kind of power network weakness zone on-line identification method Domain identification method is not and Real-Time Power System Operation States are associated, and its power network weakness zone picked out is often It is not the weakness under current electric grid running statu on electric network composition or weakness zone of the power network under certain malfunction The technical problem in region.
To enable goal of the invention, feature, the advantage of the present invention more obvious and understandable, below in conjunction with this hair Accompanying drawing in bright embodiment, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that retouched below The embodiment stated is only a part of embodiment of the invention, and not all embodiment.Based on the embodiment in the present invention, sheet All other embodiment that field those of ordinary skill is obtained under the premise of creative work is not made, belongs to this hair The scope of bright protection.
Referring to Fig. 1, an a kind of implementation of the power network weakness zone on-line identification method provided in the embodiment of the present invention Example includes：
101st, from current EMS system obtain operation of power networks state, and by OPA have a power failure on a large scale model carry out cascading failure imitate Very, preset fault set is received；
102nd, the load loss of current failure is counted, each node accident of current failure or event class is judged, and statistics is worked as Prior fault dead electricity nodes, excision circuit number, calculate current failure disaster degree, risk factor；
103rd, by each node accident or event class of current failure, current failure disaster degree, risk factor, calculate The accident or event harm value of each node of current failure.
The above is that a kind of power network weakness zone on-line identification method is described in detail, below will be to a kind of power network The detailed process of weakness zone on-line identification method is described in detail, and a kind of power network provided in the embodiment of the present invention is thin Another embodiment of weak-strong test on-line identification method includes：
201st, from current EMS system obtain operation of power networks state, and by OPA have a power failure on a large scale model carry out cascading failure imitate Very, preset fault set is received；
Operation of power networks state, including electricity grid network topological structure, electric network swim, grid equipment are obtained from current EMS system State, grid generation unit limit for height of exerting oneself limit the data such as low situation, main transformer capacity, circuit cut-off current.
Using OPA have a power failure on a large scale model carry out cascading failure emulation.OPA models are ORNL, Wisconsin university power train The chain event of a power system that the multidigit researcher of system ERC (PSERC) and Alaska universities proposes jointly Hinder and simulation model of having a power failure on a large scale.It is made up of fast dynamic and two iterative process of slow motion state, and fast dynamic process is used to simulate electric power System cascading failure, and slow dynamic process is then used for the evolution for simulating power system.Its basic thought is：With power train System development, system generating capacity and load level are improved constantly, and Line Flow accordingly increases, when it reaches line transmission capacity Line disconnection can be caused during the limit, and cut-offfing for circuit can cause trend to move to All other routes, may then draw Send out these circuits to cut-off in succession, ultimately form cascading failure.In addition, the circuit cut-off by overload, typically can be by power planning Department thinks to need to be transformed, and such as increases its transmission capacity, to improve the security of transmission system.
Fault set is set, and fault set includes：N-1 failures, joint use N-2 failures.
202nd, the load loss of current failure is counted, by preset criterion, each node accident of current failure is judged Or event class, and count current failure dead electricity nodes NBP, excision circuit number NBL, pass through disaster degree formula：
Current failure disaster degree λ is calculated, passes through Hazard factor formula：
Current failure j interior joints i accident or event are calculated for the Hazard factor η of the whole network, wherein NLIt is total for circuit Number, N are node total number, NBPFor current failure dead electricity nodes, NBLFor current failure excision circuit number, Ploss,iFor current event Subtracting for barrier j interior joints i supplies load, Pj,lossAlways subtract for current failure j the whole network and supply load；
Load loss is counted, each node accident/event class is judged.Its criterion is as shown in table 1.
Table 1
Cascading failure disaster degree λ：
λ is triggers the cascading failure disaster degree of this accident event, according to removed circuit number and dead electricity nodes meter Calculate, as shown in formula (1)：
In formula, NBLFor the circuit number being removed in cascading failure, NLFor circuit sum, NBPFor dead electricity nodes, N is section Point sum.
Hazard factor η：
η is represented in this whole network cascading failure, and accident/event that the node occurs, can be with for the Hazard factor of the whole network Subtracted to account for the whole network for load value and subtract the ratio for load total value with the node and represented, as shown in formula (2)：
In formula, Ploss,iLoad is supplied for this subtracting for cascading failure j interior joints i, Pj,lossCaused for this cascading failure j The whole network always subtract and supply load.
203rd, by each node incident classification of current failure, current failure disaster degree λ, Hazard factor η, harm is passed through It is worth calculation formula w=α λ [dk,min+η(dk,max-dk,min)], the accident or event harm value w of each node of current failure are calculated, its Middle α is regulatory factor, and k is that, by subtracting the incident classification judged for load proportion, k=1~6 correspond to major accident and arrived respectively Three-level event, dk,min、dk,maxRespectively respective level accident, event endanger the interval upper limit value and lower limit value of score value.
By each node incident classification of current failure, current failure disaster degree λ, Hazard factor η, harm score value w is obtained Computational methods, as shown in formula (3)：
W=α λ [dk,min+η(dk,max-dk,min)] (3)
In formula, α is regulatory factor, to avoid w values excessive, may be configured as a ten thousandth.Subtract according to k and supply duty ratio Accident/event class that example is judged, k=1~6 correspond to major accident to three-level event, d respectivelyk,min、dk,maxRespectively phase The upper limit value and lower limit value for answering grade accident, event harm score value interval.
The above is that a kind of process of power network weakness zone on-line identification method is described in detail, below will be to one The detailed process for planting power network weakness zone on-line identification method is described in more detail, referring to Fig. 2, the embodiment of the present invention A kind of another embodiment of power network weakness zone on-line identification method of middle offer includes：
S1：Operation of power networks state, including electricity grid network topological structure, electric network swim, power network are obtained from current EMS system Equipment state, grid generation unit limit for height of exerting oneself limit the data such as low situation, main transformer capacity, circuit cut-off current.
S2：Using OPA have a power failure on a large scale model carry out cascading failure emulation.OPA models are ORNL, Wisconsin university electric power The power system that the multidigit researcher of system engineering research center (PSERC) and Alaska universities proposes jointly is chain Failure and simulation model of having a power failure on a large scale.It is made up of fast dynamic and two iterative process of slow motion state, and fast dynamic process is used to simulate electricity Force system cascading failure, and slow dynamic process is then used for the evolution for simulating power system.Its basic thought is：With electric power System Development, system generating capacity and load level are improved constantly, and Line Flow accordingly increases, when it reaches that line transmission holds It can cause line disconnection during the amount limit, and cut-offfing for circuit can cause trend to move to All other routes, then may Trigger these circuits to cut-off in succession, ultimately form cascading failure.In addition, the circuit cut-off by overload, can typically be advised by electric power The department of drawing thinks to need to be transformed, and such as increases its transmission capacity, to improve the security of transmission system.
S3:Fault set is set, and fault set includes：N-1 failures, joint use N-2 failures.
S4：Load loss is counted, each node accident/event class is judged.Its criterion is as shown in table 1.
S5：The failure situations such as dead electricity nodes, excision circuit number are counted, this fault harm degree is calculated.
Cascading failure disaster degree λ：
λ is triggers the cascading failure disaster degree of this accident event, according to removed circuit number and dead electricity nodes meter Calculate, as shown in formula (1)：
In formula, NBLFor the circuit number being removed in cascading failure, NLFor circuit sum, NBPFor dead electricity nodes, N is section Point sum.
Hazard factor η：
η is represented in this whole network cascading failure, and accident/event that the node occurs, can be with for the Hazard factor of the whole network Subtracted to account for the whole network for load value and subtract the ratio for load total value with the node and represented, as shown in formula (2)：
In formula, Ploss,iLoad is supplied for this subtracting for cascading failure j interior joints i, Pj,lossCaused for this cascading failure j The whole network always subtract and supply load.
Thus obtain endangering score value w computational methods, as shown in formula (3)：
W=α λ [dk,min+η(dk,max-dk,min)] (3)
In formula, α is regulatory factor, to avoid w values excessive, may be configured as a ten thousandth.Subtract according to k and supply duty ratio Accident/event class that example is judged, k=1~6 correspond to major accident to three-level event, d respectivelyk,min、dk,maxRespectively phase The upper limit value and lower limit value for answering grade accident, event harm score value interval.
S6：For prefecture-level city/state power network and County Power Grid, " investigation code " be concerned with major accident, compared with major break down, Ordinary accident and electric power safety event, meanwhile, " specification " is done to the harm score value interval of electric power safety accidents at different levels, event Regulation, accident/event class and harm score value are as shown in table 2.
Table 2
By taking some provincial power network 500kV main grid structures as an example, with a kind of power network weakness zone on-line identification in the present embodiment Method has carried out weakness zone identification to it, and some running status of system is as shown in figure 3, identification result is as shown in Figure 4.
It is apparent to those skilled in the art that, for convenience and simplicity of description, foregoing description is The specific work process of system, device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
Described above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although reference The present invention is described in detail previous embodiment, it will be understood by those within the art that：It still can be right Technical scheme described in foregoing embodiments is modified, or carries out equivalent substitution to which part technical characteristic；And this A little modifications are replaced, and the essence of appropriate technical solution is departed from the spirit and model of various embodiments of the present invention technical scheme Enclose.

Claims (3)

1. a kind of power network weakness zone on-line identification method, it is characterised in that including：
Step 1：From current EMS system obtain operation of power networks state, and by OPA have a power failure on a large scale model carry out cascading failure emulation, Receive preset fault set；
Step 2：The load loss of current failure is counted, each node accident of current failure or event class is judged, and count current Failure dead electricity nodes, excision circuit number, calculate current failure disaster degree, risk factor；
Step 3：By each node accident or event class of current failure, current failure disaster degree, risk factor, calculate current The accident or event harm value of each node of failure.
2. power network weakness zone on-line identification method according to claim 1, it is characterised in that the step 2 is specifically wrapped Include：
The load loss of current failure is counted, by preset criterion, each node accident of current failure or event etc. is judged Level, and count current failure dead electricity nodes NBP, excision circuit number NBL, pass through disaster degree formula：
Current failure disaster degree λ is calculated, passes through Hazard factor formula：
Current failure j interior joints i accident or event are calculated for the Hazard factor η of the whole network, wherein NLIt is section for circuit sum, N Point sum, NBPFor current failure dead electricity nodes, NBLFor current failure excision circuit number, Ploss,iFor current failure j interior joints i Subtract and supply load, Pj,lossAlways subtract for current failure j the whole network and supply load.
3. power network weakness zone on-line identification method according to claim 2, it is characterised in that the step 3 is specifically wrapped Include：
By each node incident classification of current failure, current failure disaster degree λ, Hazard factor η, calculation formula is worth by harm W=α λ [dk,min+η(dk,max-dk,min)], calculate the accident or event harm value w of each node of current failure, wherein α for regulation because Son, k is that, by subtracting the incident classification judged for load proportion, k=1~6 correspond to major accident to three-level event respectively, dk,min、dk,maxRespectively respective level accident, event endanger the interval upper limit value and lower limit value of score value.
CN201611187292.XA 2016-12-20 2016-12-20 A kind of power network weakness zone on-line identification method Pending CN106992512A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611187292.XA CN106992512A (en) 2016-12-20 2016-12-20 A kind of power network weakness zone on-line identification method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611187292.XA CN106992512A (en) 2016-12-20 2016-12-20 A kind of power network weakness zone on-line identification method

Publications (1)

Publication Number Publication Date
CN106992512A true CN106992512A (en) 2017-07-28

Family

ID=59414324

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611187292.XA Pending CN106992512A (en) 2016-12-20 2016-12-20 A kind of power network weakness zone on-line identification method

Country Status (1)

Country Link
CN (1) CN106992512A (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102157938A (en) * 2011-04-12 2011-08-17 哈尔滨工业大学 Method for online identifying lower-voltage stability nodes of power system
CN106058847A (en) * 2016-04-05 2016-10-26 国网重庆市电力公司电力科学研究院 Method used for identifying area being weak in voltage stability of power grid

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102157938A (en) * 2011-04-12 2011-08-17 哈尔滨工业大学 Method for online identifying lower-voltage stability nodes of power system
CN106058847A (en) * 2016-04-05 2016-10-26 国网重庆市电力公司电力科学研究院 Method used for identifying area being weak in voltage stability of power grid

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
卢恩等: ""电力系统停电风险评估指标及方法"", 《电力自动化设备》 *
曾凯文: ""电力系统自愈控制中的薄弱环节辨识与主动控制方法研究"", 《万方数据》 *

Similar Documents

Publication Publication Date Title
Jamborsalamati et al. Enhancing power grid resilience through an IEC61850-based EV-assisted load restoration
Ali et al. Communication modeling for differential protection in IEC-61850-based substations
CN102193504B (en) Safety and stability control system modeling method in power system dynamic simulation
CN103887810B (en) Straight-flow system based on short-circuit ratio dynamic tracking continues phase conversion failure judgment method
CN104901306B (en) Power grid operation safety margin calculating method taking cascading faults into consideration
CN105117839B (en) A kind of power system weak link identification method based on cascading failure
CN102982230B (en) A kind of short circuit current based on node impedance sensitivity exceeds standard aid decision-making method
CN105576660B (en) Local distribution network in-circuit emulation analytical equipment and system
CN107292481B (en) Power grid key node evaluation method based on node importance
CN108075476A (en) A kind of security constraint optimal load flow method based on power flow transfer relation
CN104392083A (en) Analysis method for power outage risk and reliability based on full-web topology
CN107947151A (en) A kind of recognition methods of electric system key node
CN107622360A (en) A kind of critical circuits recognition methods for considering subjective and objective factor
CN109687410A (en) A kind of cascading failure collection construction method increased based on maximum entropy
CN107069705A (en) A kind of electric network element cascading failure analogy method
CN107942197A (en) A kind of transmission line of electricity one-end fault ranging method
CN110148937A (en) A kind of large-area power-cuts event intelligence deduction method based on Bayesian network
CN105552899B (en) A kind of method of power system restoration power after calculating is had a power failure on a large scale
CN105160148B (en) A kind of alternating current-direct current power network cascading failure critical circuits discrimination method
CN105226666B (en) To the check method of reactive apparatus running status in transformer station's automatism voltage control
CN106712030A (en) Voltage stability discrimination method for DC receiving end AC system based on WAMS (Wide Area Measurement System) dynamic tracking
CN109687437A (en) A kind of electrical simulation method of the exchange energy-consuming device of flexible DC transmission
CN110797863B (en) Economic dispatching method considering safety constraints of N-1 and N-2 of power grid
CN106992512A (en) A kind of power network weakness zone on-line identification method
CN104009470B (en) Electric power networks fault simulation method based on AC power flow

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

Application publication date: 20170728

RJ01 Rejection of invention patent application after publication