CN109165806A - Risk-warning and voltage optimization regulating system and method based on trend dynamic translation - Google Patents

Risk-warning and voltage optimization regulating system and method based on trend dynamic translation Download PDF

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CN109165806A
CN109165806A CN201810707623.0A CN201810707623A CN109165806A CN 109165806 A CN109165806 A CN 109165806A CN 201810707623 A CN201810707623 A CN 201810707623A CN 109165806 A CN109165806 A CN 109165806A
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risk
dynamic translation
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CN109165806B (en
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徐玮韡
黄弘扬
马骏超
刘�东
陈飞
黄晓明
宣晓明
陆承宇
楼伯良
吴跨宇
吕文韬
徐群伟
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Shanghai Jiaotong University
Electric Power Research Institute of State Grid Zhejiang Electric Power Co Ltd
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Electric Power Research Institute of State Grid Zhejiang Electric Power Co Ltd
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Abstract

The invention discloses a kind of Risk-warnings based on trend dynamic translation and voltage optimization regulating system and method.Regulating system of the invention includes trend dynamic translation computing module, voltage limit risk evaluation module, voltage adjusts policy generation module and voltage control module, the multiple source power distribution net trend dynamic translation analysis that the system is merged by information physical deeply discloses the complicated intrinsic characteristic of operation of power networks, power grid risk assessment is carried out on this basis, identification can result in the potential key risk item of bad voltage influence with discovery, the voltage risk of operation of power networks is assessed in real time, when there is alert status in power grid, trend dynamic translation result and emulation based on multiple source power distribution net solve, the different voltage of proposition corresponding from risk indicator voltage limit risk assessment result adjusts strategy, it is flexibly controlled for distributed generation resource and the advanced decision of effectively optimizing operation provides support.

Description

Risk-warning and voltage optimization regulating system and method based on trend dynamic translation
Technical field
The present invention relates to intelligent distribution network field, it is related to the voltage out-of-limit control accessed under distributed generation resource access on a large scale With adjusting, especially a kind of Risk-warning based on trend dynamic translation and voltage optimization regulating system.
Background technique
As all types of intermittent energies access, multi-source heterogeneous power distribution network starts in face of uncertain enhancing, power disturbance Significantly increase, the problems such as trend distribution character changes, the behavioral characteristics of operating status consecutive variations are obvious, based on it is single when The applicability of traditional trend method of discontinuity surface is declining, while based on the power distribution network under current complex working condition, voltage risk Problem is also one of the great underlying issue that power grid is faced, and voltage early warning, assessment and adjustment Theory are to can be applied to reality Power grid simultaneously ensures that it operates normally necessary prerequisite property safeguards technique.
For the multi-source heterogeneous power distribution network of distributed energy and the access of diversified load, the coordinated control of distributed generation resource with The multilevel hierarchy of power dissolves bring trend bi-directional distributed, stronger random nature and time-varying characteristics, all makes traditional It is pushed forward the methods of back substitution to be no longer applicable in, existing method fails to preferably provide multi-source heterogeneous power distribution network in stochastic uncertainty fortune Certainty tidal current computing method under row scene, therefore using the multiple source power distribution net trend dynamic translation merged based on information physical Analysis method deeply discloses the complicated intrinsic characteristic of operation of power networks, has comparable necessity.On this basis, to power grid wind Danger is assessed, and identification, discovery can result in the potential key risk item of bad voltage influence, proposes the item occurred comprising risk The risk evaluation model of part probability and severity degree function, carrying out assessment in real time to the voltage risk of operation of power networks has Significance, can flexibly control for distributed generation resource and the advanced decision of effectively optimizing operation provides support.
Summary of the invention
For the defect for overcoming the above-mentioned prior art, the purpose of the present invention is to provide a kind of wind based on trend dynamic translation Dangerous early warning and voltage optimization regulating system, the multiple source power distribution net trend dynamic translation analysis merged by information physical are deeply taken off The complicated intrinsic characteristic for showing operation of power networks, carries out power grid risk assessment on this basis, and identification can result in voltage not with discovery The potential key risk item of good influence proposes that the risk of the conditional probability occurred comprising risk and severity degree function is commented Estimate model, the voltage risk of operation of power networks is assessed in real time, is flexibly controlled and effectively optimizing operation for distributed generation resource Advanced decision provides support.
The technical solution adopted by the present invention are as follows: Risk-warning and voltage optimization regulating system based on trend dynamic translation, It includes trend dynamic translation computing module, voltage limit risk evaluation module, voltage adjusting policy generation module and voltage control Molding block;
The trend dynamic translation computing module:, which establishing multiple source power distribution net trend dynamic translation model, and carries out model asks Solution, and trend dynamic translation result in the research period is exported to voltage limit risk evaluation module;
The voltage limit risk evaluation module: establishing voltage risk indicator based on the trend dynamic translation result, Based on the weak spot and fragility of voltage risk indicator assessment distribution network system, the formulation for adjusting strategy for voltage optimization is mentioned For foundation;
The voltage adjusts policy generation module: the assessment result based on the voltage limit risk evaluation module is given Voltage optimization adjusts strategy out, and the strategy is supplied to voltage control module;
The voltage control module: control instruction is issued to all voltage adjusters in its compass of competency, is completed Voltage is adjusted.
Preferably, the mixed logic that the multiple source power distribution net trend dynamic translation model includes the controlled distribution formula energy is moved States model and network trend dynamic translation model.
Preferably, the mixed logical dynamics of the controlled distribution formula energy are to include the continuous function of the controlled distribution formula energy The hybrid system model that rate output and limited kind of discrete state feature reflect together, can be expressed as follows:
In formula, x (t) is system state variables, and u (t) is system input control quantity, and y (t) is system output quantity, by tool There is the continuous and discrete variable of certain dimension to constitute;δ (t) is the auxiliary logic variable that numerical value takes 0 or 1, and z (t) is that auxiliary is continuous Variable;A,B1、B2、B3、C、D1、D2、D3、E1、E2、E3、E4、E5For coefficient matrix corresponding to each variable.
Preferably, the network trend dynamic translation model is based on the random mutation analysis of Run-time scenario and continuous power grid Tide model develops to obtain, which comprehensively considers perception, acquisition, analysis, execution and the finite discrete shape of information propagation delay time The multidate information physical process of state, and trend update is carried out using iterative calculation equation.
Preferably, the trend dynamic translation result is to consider that the power grid under intermittent energy condition of uncertainty respectively saves Point voltage level.
Preferably, the voltage risk indicator, it is as follows that risk indicator evaluates and tests formula:
In formula, Xt,fIndicate the predicted operation state of t moment under consideration intermittent energy condition of uncertainty, Xt,jIndicate t When the feasible actual motion state of etching system, Pr (Xt,j|Xt,f) indicate X occur in t momentt,jProbability;EiIndicate i-th of thing Therefore or fault condition, Pr (Ei) be i-th of accident or failure probability of happening;Sev(Ei,Xt,j) indicate in j-th of possible fortune Severity degree function caused by i-th of forecast accident or failure occurs under row state;
The voltage risk indicator is obtained on the basis of the risk indicator evaluates and tests formula by normalization.
Preferably, the voltage risk evaluation result is by fuzzy membership function, according to risk severity with etc. Grade describes, including " low severity ", " general severity ", " higher severity ", respectively correspond basic, normal, high three kinds it is serious Grade.
Preferably, the voltage optimization adjusts strategy, different adjustings is corresponded to according to the voltage risk evaluation result Method, " low severity " corresponding alarm signal that sends to main station system, are optimized by main website and calculate progress voltage adjusting;It is " general Property severity " it is corresponding by sensitivity matrix generation power adjustment instruction collection, and by the voltage control module to it is described can Control distributed energy carries out issuing and adjusting for target power value;" higher severity " corresponding generating device opening and closing collection, and pass through The voltage control module sends full hair or halt instruction to the controlled distribution formula energy.
Preferably, the power adjustment instruction collection includes the active and reactive power value of the controlled distribution formula energy;Institute The equipment opening and closing stated integrates the state as discrete command collection, including the controlled distribution formula energy, and 0 represents the controlled distribution formula energy Source stops, and 1, which represents the controlled distribution formula energy, completely sends out.
The present invention also provides a kind of Risk-warnings based on trend dynamic translation and voltage optimization adjusting method comprising step It is rapid:
S1: the topology of power grid physical network, parameter, metric data prepare;
S2: distribution power flow dynamic translation model is established, and solution is iterated using Newton-Laphson algorithm;
S3: trend dynamic translation result in the output research period;
S4: voltage risk indicator is established based on the trend dynamic translation result, and is come by risk severity with grade Voltage risk evaluation result described, including " low severity ", " general severity ", " higher severity ", respectively correspond it is low, Middle and high three kinds of menace levels;
" low severity " goes to S51, and " general severity " goes to S52, and " higher severity " goes to S53;
S51: alarm signal is sent to main station system, goes to S61;
S52: power adjustment instruction collection is generated by sensitivity matrix, goes to S62;
S53: generating device opening and closing collection goes to S63;
S61: optimized by main website and calculate progress voltage adjusting;
S62: issuing and adjusting for target power value is carried out to the controlled distribution formula energy;
S63: full hair or halt instruction are sent to the controlled distribution formula energy.
Compared with prior art, the device have the advantages that it is as follows:
1) in the way of the present invention replaces traditional Load flow calculation in the way of trend dynamic translation, during dynamic translation, By the mixed logical dynamics and network trend dynamic translation model of the controlled distribution formula energy, by the information such as delay of control because Element is blended with physical factor, realizes more accurate trend estimation.
2) voltage out-of-limit level of the invention has comprehensively considered the uncertainty of intermittent energy power output, can actually get over Limit carries out early warning before occurring, and improves voltage recovery capability.
3) present invention can carry out voltage adjusting, voltage out-of-limit journey using corresponding mode according to voltage out-of-limit level difference Degree is lower, and the recovery process level of resources utilization is higher, then passes through simply opening and closing instruction set when voltage out-of-limit degree is higher It carries out equipment quickly to adjust, reduces the equipment voltage out-of-limit time.
Detailed description of the invention
Fig. 1 is that the present invention is based on the Risk-warnings of trend dynamic translation and the signal of the module composition of voltage optimization regulating system Figure;
Fig. 2 is that the present invention is based on the adjustings of the voltage optimization of the Risk-warning of trend dynamic translation and voltage optimization adjusting method Flow diagram.
Specific embodiment
The present invention will be further described in the following with reference to the drawings and specific embodiments.But the present invention can be with difference Form, specification etc. are realized, and should not be construed as being limited by the embodiment herein proposed.On the contrary, proposing that these embodiments are It in order to reach abundant and complete disclosure, and is that more related those skilled in the art understand the scope of the present invention completely. In these attached drawings, to clearly show that, relative size may have been zoomed in or out.
Embodiment 1
The present embodiment provides a kind of Risk-warnings based on trend dynamic translation and voltage optimization regulating system, referring to attached drawing 1, comprising: trend dynamic translation computing module, voltage limit risk evaluation module, voltage adjust policy generation module, voltage control Molding block: where trend dynamic translation computing module establishes multiple source power distribution net trend dynamic translation model and carries out model and asks Solution, and trend dynamic translation result in the research period is exported to voltage limit risk evaluation module.Voltage limit risk assessment Module establishes voltage risk indicator based on the trend dynamic translation result, assesses power distribution network based on the voltage risk indicator Where the weak spot and fragility of system, the formulation for adjusting strategy for voltage optimization provides foundation.Voltage adjusts strategy generating mould Block is provided voltage optimization and is adjusted strategy based on the assessment result of the voltage limit risk evaluation module, and the strategy is provided To voltage control module.Voltage control module issues control instruction to all voltage adjusters in its compass of competency, completes Voltage is adjusted.
Multiple source power distribution net trend dynamic translation model includes the mixed logical dynamics and network of the controlled distribution formula energy Trend dynamic translation model two parts.
The mixed logical dynamics of the controlled distribution formula energy are to export comprising controlled distribution formula energy continuous power The hybrid system model reflected together with limited kind of discrete state feature, can be expressed as follows.
In formula, x (t) is system state variables, and u (t) is system input control quantity, and y (t) is system output quantity, by tool There is the continuous and discrete variable of certain dimension to constitute;δ (t) is the auxiliary logic variable that numerical value takes 0 or 1, and z (t) is that auxiliary is continuous Variable.A,B1、B2、B3、C、D1、D2、D3、E1、E2、E3、E4、E5For coefficient matrix corresponding to each variable.
Network trend dynamic translation model is developed based on the random mutation analysis of Run-time scenario and continuous electric network tide model It obtains, which comprehensively considers the multidate information of the perception of information propagation delay time, acquisition, analysis, execution and finite discrete state Physical process, and trend update is carried out using iterative calculation equation.
Based on aforementioned dynamic scene, trend dynamic translation is obtained as a result, the result is to consider that intermittent energy is uncertain Under the conditions of each node voltage of power grid it is horizontal.
On the basis of trend dynamic translation result propose voltage risk indicator, for judge system voltage weak spot and Fragility, it is as follows that risk indicator evaluates and tests formula:
In formula, Xt,fIndicate the predicted operation state of t moment under consideration intermittent energy condition of uncertainty, Xt,jIndicate t When the feasible actual motion state of etching system, Pr (Xt,j|Xt,f) indicate X occur in t momentt,jProbability, a certain operation here State refers mainly to generation mode, network topology and the load level etc. that generation includes system;EiIndicate i-th of accident or failure feelings Condition, accident or failure described herein refer in particular to voltage out-of-limit, Pr (Ei) be i-th of accident or failure probability of happening;Sev(Ei, Xt,j) it is severity degree function caused by i-th of forecast accident or failure occur under j-th of possible operating status. The voltage risk indicator is obtained on the basis of the risk indicator evaluates and tests formula by normalization.
The calculation formula of voltage limit risk index may be expressed as:
In formula, Rvoltage_violateIndicate that overvoltage risk assessment value, the value are the fusion of transinformation physical space risk factors Risk indicator.CvvThe coupling function between the information and physics risk of respective risk index, Ut,fIt indicates to consider intermittent energy The anticipated voltage operating status of t moment, U under condition of uncertaintyt,jIndicate the feasible virtual voltage operating status of t moment system, Pr(Ut,j||Ut,f) indicate the U occurred in t momentt,jProbability;Sev_vv(Ei,Ut,j) indicate to run shape in j-th of possible voltage Severity degree function caused by i-th of forecast accident or failure occurs under state;Rcs_vvFor multiple source power distribution net information space Risk level, Pr (Rm) it is the probability that m kind information space risk classifications occur, Sev_cs(Rm, Asset) and indicate corresponding M kind information space risk classifications act on risk severity caused on distribution web information system.
Voltage risk evaluation result is described by fuzzy membership function, according to risk severity with grade, letter Number can be made of the piecewise combination of the common degree of membership distribution functions such as half Cauchy's type, trapezoidal and ridge type.It is believed that on the meaning of a word It is to be made of the language of " qualifier+severity ", specifically includes " low severity ", " general severity ", " higher severity ", Respectively correspond basic, normal, high three kinds of menace levels.
Voltage optimization adjusts strategy, corresponds to different adjusting methods according to the voltage risk evaluation result, " low serious The corresponding alarm signal that sends of degree " optimizes calculating by main website and carries out voltage adjusting to main station system;" general severity " is corresponding By sensitivity matrix generate power adjustment instruction collection, and by the voltage control module to the controlled distribution formula energy into Row target power value issuing and adjusting;" higher severity " corresponding generating device opening and closing collection, and mould is controlled by the voltage Block sends full hair or halt instruction to the controlled distribution formula energy.The power adjustment instruction collection includes the controlled distribution formula The active and reactive power value of the energy.The equipment opening and closing collection, is discrete command collection, the shape including the controlled distribution formula energy State, 0, which represents the controlled distribution formula energy, stops, and 1, which represents the controlled distribution formula energy, completely sends out.
Embodiment 2
The present embodiment provides a kind of Risk-warnings based on trend dynamic translation and voltage optimization adjusting method, referring to attached drawing 2, comprising the following specific steps
S1: the topology of power grid physical network, parameter, metric data prepare;
S2: the distribution power flow dynamic translation model is established, and solution is iterated using Newton-Laphson algorithm.
S3: trend dynamic translation result in the output research period;
S4: voltage risk indicator is established based on the trend dynamic translation result, and is come by risk severity with grade Voltage risk evaluation result described, including " low severity ", " general severity ", " higher severity " respectively correspond it is low, in, High three kinds of menace levels;
" low severity " goes to S51, and " general severity " goes to S52, and " higher severity " goes to S53;
S51: alarm signal is sent to main station system, goes to S61;
S52: power adjustment instruction collection is generated by sensitivity matrix, goes to S62;
S53: generating device opening and closing collection goes to S63;
S61: optimized by main website and calculate progress voltage adjusting;
S62: issuing and adjusting for target power value is carried out to the controlled distribution formula energy;
S63: full hair or halt instruction are sent to the controlled distribution formula energy.
Generally speaking, the multiple source power distribution net trend dynamic translation analysis that the present invention is merged by information physical deeply discloses electricity The complicated intrinsic characteristic for netting operation, carries out power grid risk assessment on this basis, and identification can result in bad voltage shadow with discovery Loud potential key risk item proposes the risk assessment mould of the conditional probability occurred comprising risk and severity degree function Type assesses the voltage risk of operation of power networks in real time, flexibly controls for distributed generation resource advanced with effectively optimizing operation Decision provides support.
Present invention disclosed above preferred embodiment is only intended to help to illustrate the present invention.There is no detailed for preferred embodiment All details are described, also not limiting the invention is the specific embodiment.It obviously, can according to the content of this specification Do many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to better explain the present invention Principle and practical application, so that skilled artisan be enable to better understand and utilize the present invention.The present invention only by The limitation of claims and its full scope and equivalent.

Claims (10)

1. Risk-warning and voltage optimization regulating system based on trend dynamic translation, which is characterized in that turn including trend dynamic It changes computing module, voltage limit risk evaluation module, voltage and adjusts policy generation module and voltage control module;
The trend dynamic translation computing module: establishing multiple source power distribution net trend dynamic translation model and carries out model solution, And trend dynamic translation result in the research period is exported to voltage limit risk evaluation module;
The voltage limit risk evaluation module: voltage risk indicator is established based on the trend dynamic translation result, is based on The weak spot and fragility of voltage risk indicator assessment distribution network system, for voltage optimization adjust tactful formulation provide according to According to;
The voltage adjusts policy generation module: the voltage risk assessment knot based on the voltage limit risk evaluation module Fruit provides voltage optimization and adjusts strategy, and the strategy is supplied to voltage control module;
The voltage control module: control instruction is issued to all voltage adjusters in its compass of competency, completes voltage It adjusts.
2. Risk-warning and voltage optimization regulating system as described in claim 1 based on trend dynamic translation, feature exist In the multiple source power distribution net trend dynamic translation model includes the mixed logical dynamics and network of the controlled distribution formula energy Trend dynamic translation model.
3. Risk-warning and voltage optimization regulating system as claimed in claim 2 based on trend dynamic translation, feature exist In the mixed logical dynamics of, the controlled distribution formula energy be comprising controlled distribution formula energy continuous power output and limited The hybrid system model that kind discrete state feature reflects together, can be expressed as follows:
In formula, x (t) is system state variables, and u (t) is system input control quantity, and y (t) is system output quantity, by with one The continuous and discrete variable for determining dimension is constituted;δ (t) is the auxiliary logic variable that numerical value takes 0 or 1, and z (t) is auxiliary continuous variable; A、B1、B2、B3、C、D1、D2、D3、E1、E2、E3、E4、E5For coefficient matrix corresponding to each variable.
4. Risk-warning and voltage optimization regulating system as claimed in claim 2 or claim 3 based on trend dynamic translation, feature It is, the network trend dynamic translation model is based on the random mutation analysis of Run-time scenario and drills with continuous electric network tide model Change obtains, which comprehensively considers the dynamic letter of the perception of information propagation delay time, acquisition, analysis, execution and finite discrete state Physical process is ceased, and carries out trend update using iterative calculation equation.
5. Risk-warning and voltage optimization regulating system as described in claim 1 based on trend dynamic translation, feature exist In the trend dynamic translation result is to consider that each node voltage of power grid under intermittent energy condition of uncertainty is horizontal.
6. Risk-warning and voltage optimization regulating system as described in claim 1 based on trend dynamic translation, feature exist In the voltage risk indicator, it is as follows that risk indicator evaluates and tests formula:
In formula, Xt,fIndicate the predicted operation state of t moment under consideration intermittent energy condition of uncertainty, Xt,jIndicate t moment The feasible actual motion state of system, Pr (Xt,j|Xt,f) indicate X occur in t momentt,jProbability;EiIndicate i-th of accident or Fault condition, Pr (Ei) be i-th of accident or failure probability of happening;Sev(Ei,Xt,j) indicate in j-th of possible operation shape Severity degree function caused by i-th of forecast accident or failure occurs under state;
The voltage risk indicator is obtained on the basis of the risk indicator evaluates and tests formula by normalization.
7. Risk-warning and voltage optimization regulating system as described in claim 1 based on trend dynamic translation, feature exist In, the voltage risk evaluation result by fuzzy membership function, described according to risk severity with grade, including " low severity ", " general severity ", " higher severity " respectively correspond basic, normal, high three kinds of menace levels.
8. Risk-warning and voltage optimization regulating system as claimed in claim 7 based on trend dynamic translation, feature exist In the voltage optimization adjusts strategy, corresponds to different adjusting methods according to the voltage risk evaluation result, " low serious The corresponding alarm signal that sends of degree " optimizes calculating by main website and carries out voltage adjusting to main station system;" general severity " is corresponding By sensitivity matrix generate power adjustment instruction collection, and by the voltage control module to the controlled distribution formula energy into Row target power value issuing and adjusting;" higher severity " corresponding generating device opening and closing collection, and mould is controlled by the voltage Block sends full hair or halt instruction to the controlled distribution formula energy.
9. Risk-warning and voltage optimization regulating system as claimed in claim 8 based on trend dynamic translation, feature exist In the power adjustment instruction collection includes the active and reactive power value of the controlled distribution formula energy;The equipment opening and closing Integrate the state as discrete command collection, including the controlled distribution formula energy, 0, which represents the controlled distribution formula energy, stops, and 1 represents The controlled distribution formula energy is completely sent out.
10. Risk-warning and voltage optimization adjusting method based on trend dynamic translation, which is characterized in that comprising steps of
S1: the topology of power grid physical network, parameter, metric data prepare;
S2: distribution power flow dynamic translation model is established, and solution is iterated using Newton-Laphson algorithm;
S3: trend dynamic translation result in the output research period;
S4: establishing voltage risk indicator based on the trend dynamic translation result, and is described by risk severity with grade Voltage risk evaluation result, including " low severity ", " general severity ", " higher severity ", respectively correspond basic, normal, high Three kinds of menace levels;" low severity " goes to S51, and " general severity " goes to S52, and " higher severity " goes to S53;
S51: alarm signal is sent to main station system, goes to S61;
S52: power adjustment instruction collection is generated by sensitivity matrix, goes to S62;
S53: generating device opening and closing collection goes to S63;
S61: optimized by main website and calculate progress voltage adjusting;
S62: issuing and adjusting for target power value is carried out to the controlled distribution formula energy;
S63: full hair or halt instruction are sent to the controlled distribution formula energy.
CN201810707623.0A 2018-07-02 2018-07-02 Risk early warning and voltage optimization adjusting system and method based on dynamic power flow conversion Active CN109165806B (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111967738A (en) * 2020-07-31 2020-11-20 华中科技大学 Risk early warning method, system and medium for power grid information energy fusion system
CN113487169A (en) * 2021-07-02 2021-10-08 浙江大学 Comprehensive energy system safety assessment method and system based on vulnerability index
CN113919162A (en) * 2021-10-15 2022-01-11 福州大学 Voltage sag risk early warning method based on simulation and multi-source measured data fusion

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101800426A (en) * 2010-03-31 2010-08-11 河南电力试验研究院 Safety level evaluation method of power grid
CN102930175A (en) * 2012-03-28 2013-02-13 河海大学 Assessment method for vulnerability of smart distribution network based on dynamic probability trend
CN103632310A (en) * 2013-11-19 2014-03-12 中国南方电网有限责任公司 Risk evaluation method for operation of large power grid
CN103797464A (en) * 2011-09-13 2014-05-14 国际商业机器公司 Fault isolation and service restoration in an electric grid
CN105186498A (en) * 2015-09-08 2015-12-23 国家电网公司 Voltage and power flow combined control method considering running cost for active power distribution network

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101800426A (en) * 2010-03-31 2010-08-11 河南电力试验研究院 Safety level evaluation method of power grid
CN103797464A (en) * 2011-09-13 2014-05-14 国际商业机器公司 Fault isolation and service restoration in an electric grid
CN102930175A (en) * 2012-03-28 2013-02-13 河海大学 Assessment method for vulnerability of smart distribution network based on dynamic probability trend
CN103632310A (en) * 2013-11-19 2014-03-12 中国南方电网有限责任公司 Risk evaluation method for operation of large power grid
CN105186498A (en) * 2015-09-08 2015-12-23 国家电网公司 Voltage and power flow combined control method considering running cost for active power distribution network

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
孙辰 等: "《信息物理融合的主动配电网动态潮流研究》", 《中国电机工程学报》 *
王云 等: "《电网信息物理系统的混合系统建模方法研究》", 《中国电机工程学报》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111967738A (en) * 2020-07-31 2020-11-20 华中科技大学 Risk early warning method, system and medium for power grid information energy fusion system
CN111967738B (en) * 2020-07-31 2023-11-14 华中科技大学 Risk early warning method, system and medium of power grid information energy fusion system
CN113487169A (en) * 2021-07-02 2021-10-08 浙江大学 Comprehensive energy system safety assessment method and system based on vulnerability index
CN113487169B (en) * 2021-07-02 2023-07-28 浙江大学 Comprehensive energy system safety evaluation method and system based on vulnerability index
CN113919162A (en) * 2021-10-15 2022-01-11 福州大学 Voltage sag risk early warning method based on simulation and multi-source measured data fusion

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