CN103544545B - Electric system risk evaluation accelerating sampling method based on fault set matching - Google Patents
Electric system risk evaluation accelerating sampling method based on fault set matching Download PDFInfo
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- CN103544545B CN103544545B CN201310522382.XA CN201310522382A CN103544545B CN 103544545 B CN103544545 B CN 103544545B CN 201310522382 A CN201310522382 A CN 201310522382A CN 103544545 B CN103544545 B CN 103544545B
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- 238000005070 sampling Methods 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000011156 evaluation Methods 0.000 title claims abstract description 12
- 238000005457 optimization Methods 0.000 claims abstract description 14
- 230000008878 coupling Effects 0.000 claims description 21
- 238000010168 coupling process Methods 0.000 claims description 21
- 238000005859 coupling reaction Methods 0.000 claims description 21
- 230000007257 malfunction Effects 0.000 claims description 20
- 238000004458 analytical method Methods 0.000 claims description 9
- 238000012502 risk assessment Methods 0.000 claims description 8
- 230000004888 barrier function Effects 0.000 claims description 2
- 230000013011 mating Effects 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 abstract description 2
- 230000001133 acceleration Effects 0.000 description 3
- 230000005611 electricity Effects 0.000 description 2
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Abstract
An electric system risk evaluation accelerating sampling method based on fault set matching comprises the steps that a non-load shedding fault set of an electric system is given, wherein any fault state in the fault set cannot cause the electric system to generate load shedding; when a certain fault state of the electric system is obtained through sampling, the certain fault state is matched with the fault states in the fault set; if the certain fault state is matched with one fault state in the electric system, optimization computation is not carried out; if the certain fault state is not matched with the fault states in the electric system, the optimization computation is carried out, the sampling state is added to the non-load shedding fault set for matching in afterward computation if the calculation result shows non-load shedding. The failure rate of elements in the electric system is relatively low, the failure of individual element normally cannot cause load shedding, and the optimization computation for computing the load shedding amount after the sampling extremely consumes time. Therefore, the method avoids a lot of unnecessary optimization computation, saves a large amount of operation time, and improves the efficiency of sampling and computing procedures in the risk evaluation of the electric system.
Description
Technical field
The present invention relates to a kind of Study of Risk Evaluation Analysis for Power System based on fault set coupling accelerates the method for sampling, belong to electricity
Force system risk assessment technology field.
Background technology
In Study of Risk Evaluation Analysis for Power System, conventional DSMC method is sampled, by the knot sampled several times
Fruit is averaged and obtains the result of risk assessment.In each sampling process, obtained according to the fault rate of each element
Each element Qualitative state really, and then it is optimized calculating, obtained under this sample states with the method optimizing
A series of index such as cutting load amount of power system.Optimizing the process calculating is that in each sampling computing cost is
Big part.But in the calculating process of Study of Risk Evaluation Analysis for Power System, due to the fault of power system component
Rate is typically small, and single element fault is typically not result in that load is lost in power system, therefore optimizes and calculates
The result of obtained cutting load amount is mostly zero, i.e. power system does not occur the fault of cutting load.Therefore in electricity
In Force system risk assessment, if clearly knowing, certain sample states obtaining will not occur cutting load, jumps
Cross optimization to calculate, directly giving cutting load amount is zero, then can save the time of this suboptimization calculating, improves
Computational efficiency.Therefore, based on above-mentioned thought it is necessary to a set of effective method realizes risk assessment
Acceleration sampling, save computing cost.
Content of the invention
The purpose of the present invention is that the calculating calculating for sampling process optimization each in Study of Risk Evaluation Analysis for Power System is opened
Sell larger, the bad problem of economy, proposition is a kind of to be added based on the Study of Risk Evaluation Analysis for Power System of fault set coupling
The fast method of sampling, to be judged with the mating of malfunction in not cutting load fault set by each sample states
The need of being optimized calculating, and then the time that saving is sampled every time, reduce computing cost.
Realization the technical scheme is that, the inventive method is in the condition of given system not cutting load fault set
Under, by mate sample states and not the malfunction in cutting load fault set judge whether to need to carry out excellent
Changing and calculate, and constantly update not cutting load fault set, thus reduce unnecessary optimization calculating, saving every time
The time of sampling, improve program computational efficiency.
The inventive method comprises the following steps:
(1) set the maximum malfunction number n being considered in fault set matching algorithmFaultSetMatch
(nFaultSetMatch≥0);
(2) sample states, record circuit now are obtained according to the fault rate of element each in power system
Fault sum nLineFaults, unit EIAJ summation P of starting shootingTotalUnitPowerMax, the load of the node of non-faulting is total
And PTotalNodeLoad, malfunctioning node sum nNodeFaults;
(3) if malfunctioning node sum nNodeFaultsIt is zero, and line fault sum nLineFaultsIt is not more than fault
The maximum malfunction number n being considered in collection matching algorithmFaultSetMatch, and unit EIAJ summation of starting shooting
PTotalUnitPowerMaxLoad summation P more than the node of non-faultingTotalNodeLoad1.05 times, then carry out fault set
Join, if condition is unsatisfactory for, think that fault set coupling is unsuccessful, and directly carry out step (6) optimization calculating;
That is, if nNodeFaults=0, and nLineFaults≤nFaultSetMatch, and PTotalUnitPowerMax>1.05PTotalNodeLoad, then enter
Row fault set is mated, otherwise it is assumed that fault set coupling is unsuccessful, and directly carries out step (6) optimization calculating;
(4) if fault set coupling need to be carried out, step (4.1)~(4.3) are carried out;
(4.1) not cutting load fault set is traveled through, obtain not a certain malfunction in cutting load fault set
Line status;
(4.2) if all of line status is obtained with sampling in this malfunction not in cutting load fault set
Line status completely the same then it is assumed that fault set the match is successful, and no longer mated, directly carried out
Step (5);
(4.3) if after completing to not cutting load fault set traversal, not with the line status obtaining of sampling
Join then it is assumed that fault set coupling is unsuccessful, carry out step (5);
(5) if the match is successful for fault set, do not carry out step (6) and optimize calculating, directly by all nodes
Cutting load amount be all entered as zero, and carry out step (8);If fault set coupling is unsuccessful, carry out step
(6) optimization calculates;
(6) optimize the cutting load amount being calculated each node, and be calculated the cutting load total amount of all nodes
PTotalCutdownLoad;
(7) update not cutting load fault set:
(7.1) if malfunctioning node sum nNodeFaultsIt is zero, and line fault sum nLineFaultsIt is not more than event
The maximum malfunction number n being considered in barrier collection matching algorithmFaultSetMatch, and unit EIAJ summation of starting shooting
PTotalUnitPowerMaxLoad summation P more than the node of non-faultingTotalNodeLoad1.05 times, and the cutting of all nodes
Load total amount PTotalCutdownLoadIt is zero, then carries out step (7.2) and update fault set, otherwise carry out step 8);
That is, if nNodeFaults=0, and nLineFaults≤nFaultSetMatch, and PTotalUnitPowerMax>1.05PTotalNodeLoad, and
PTotalCutdownLoad=0, then carry out step (7.2) and update fault set, otherwise carry out step (8);
(7.2) record the malfunction of each circuit in the sample states of power system obtaining in this sampling,
As one not cutting load fault be added to not cutting load fault set;
(8) repeat step (2) until sampling reaches requirement, risk assessment procedures terminate.
The invention has the beneficial effects as follows, the acceleration method of sampling proposed by the present invention, be do not cut in power system negative
On the basis of lotus fault set coupling, by mate sample states and not the malfunction in cutting load fault set Lai
Judge whether that needs are optimized calculating, and constantly update not cutting load fault set, thus reduce unnecessary
Optimize and calculate, save the time of sampling every time, improve program computational efficiency.The present invention takes full advantage of sampling
During obtained information carry out more new system not cutting load fault set, effectively reduce and optimize the number of times calculating,
Save the sampling time, improve the efficiency of risk assessment calculation procedure.
Brief description
Fig. 1 is to accelerate method of sampling flow chart based on the Study of Risk Evaluation Analysis for Power System of fault set coupling in the present invention.
Specific embodiment
Study of Risk Evaluation Analysis for Power System of the present invention accelerates the specific embodiment of the method for sampling, describes in detail as follows:
(1) set the maximum malfunction number n being considered in fault set matching algorithmFaultSetMatch=2;
(2) sample states, record circuit now are obtained according to the fault rate of element each in power system
Fault sum nLineFaults=1, unit EIAJ summation P of starting shootingTotalUnitPowerMax=3385MW, non-faulting
Load summation P of nodeTotalNodeLoad=2850MW, malfunctioning node sum nNodeFaults=0;
(3) above-mentioned each value meets malfunctioning node sum nNodeFaultsIt is zero, and line fault sum nLineFaultsNo
More than the maximum malfunction number n being considered in fault set matching algorithmFaultSetMatch, and unit maximum of starting shooting goes out
Power summation PTotalUnitPowerMaxLoad summation P more than the node of non-faultingTotalNodeLoad1.05 times of condition, need to enter
The coupling of row fault set;
(4) carry out fault set coupling, not cutting load fault set is traveled through, obtains not cutting load fault set
In a certain malfunction line status;After not cutting load fault set traversal is completed, do not have and sample
The line status coupling arriving, fault set coupling is unsuccessful, carries out step (5);
(5) fault set coupling is unsuccessful, then carry out step (6) and optimize calculating;
(6) optimize the cutting load amount being calculated each node, and be calculated the cutting load total amount of all nodes
PTotalCutdownLoad=0;
(7) update not cutting load fault set:
(7.1) above-mentioned condition meets condition nNodeFaults=0, and nLineFaults≤nFaultSetMatch, and
PTotalUnitPowerMax>1.05PTotalNodeLoad, and PTotalCutdownLoad=0, carry out step (7.2) and update fault set;
(7.2) record the malfunction of each circuit in the sample states of power system obtaining in this sampling,
As one not cutting load fault be added to not cutting load fault set;
(8) repeat step 2) until sampling reaches requirement, sample 260000 times altogether, risk assessment journey
Sequence terminates, and takes 11.984 seconds altogether.
With the above-mentioned acceleration method of sampling as a comparison, without accelerating the sampling method of sampling, sample 260000 times,
Take 331.015 seconds.
Claims (1)
1. a kind of Study of Risk Evaluation Analysis for Power System based on fault set coupling accelerate the method for sampling it is characterised in that
Methods described under conditions of given system not cutting load fault set, by mating sample states and not cutting load
Malfunction in fault set is optimized calculating judging whether needs, and constantly updates not cutting load fault
Collection, thus reduce unnecessary optimization calculating, saving the time of sampling every time, improving program computational efficiency;
Methods described step is:
(1) set the maximum malfunction number n being considered in fault set matching algorithmFaultSetMatch
(nFaultSetMatch≥0);
(2) sample states, record circuit now are obtained according to the fault rate of element each in power system
Fault sum nLineFaults, unit EIAJ summation P of starting shootingTotalUnitPowerMax, the load of the node of non-faulting is total
And PTotalNodeLoad, malfunctioning node sum nNodeFaults;
(3) if malfunctioning node sum nNodeFaultsIt is zero, and line fault sum nLineFaultsIt is not more than fault
The maximum malfunction number n being considered in collection matching algorithmFaultSetMatch, and unit EIAJ summation of starting shooting
PTotalUnitPowerMaxLoad summation P more than the node of non-faultingTotalNodeLoad1.05 times, then carry out fault set
Join, if condition is unsatisfactory for, think that fault set coupling is unsuccessful, and directly carry out step (6) optimization calculating;
That is, if nNodeFaults=0, and nLineFaults≤nFaultSetMatch, and PTotalUnitPowerMax> 1.05PTotalNodeLoad, then enter
Row fault set is mated, otherwise it is assumed that fault set coupling is unsuccessful, and directly carries out step (6) optimization calculating;
(4) if fault set coupling need to be carried out, step (4.1)~(4.3) are carried out:
(4.1) not cutting load fault set is traveled through, obtain not a certain malfunction in cutting load fault set
Line status;
(4.2) if all of line status is obtained with sampling in this malfunction not in cutting load fault set
Line status completely the same then it is assumed that fault set the match is successful, and no longer mated, directly carried out
Step (5);
(4.3) if after completing to not cutting load fault set traversal, not with the line status obtaining of sampling
Join then it is assumed that fault set coupling is unsuccessful, carry out step (5);
(5) if the match is successful for fault set, do not carry out step (6) and optimize calculating, directly by all nodes
Cutting load amount be all entered as zero, and carry out step (8);If fault set coupling is unsuccessful, carry out step
(6) optimization calculates;
(6) optimize the cutting load amount being calculated each node, and be calculated the cutting load total amount of all nodes
PTotalCutdownLoad;
(7) update not cutting load fault set:
(7.1) if malfunctioning node sum nNodeFaultsIt is zero, and line fault sum nLineFaultsIt is not more than event
The maximum malfunction number n being considered in barrier collection matching algorithmFaultSetMatch, and unit EIAJ summation of starting shooting
PTotalUnitPowerMaxLoad summation P more than the node of non-faultingTotalNodeLoad1.05 times, and the cutting of all nodes
Load total amount PTotalCutdownLoadIt is zero, then carry out step (7.2) and update fault set, otherwise carry out step (8);
That is, if nNodeFaults=0, and nLineFaults≤nFaultSetMatch, and PTotalUnitPowerMax> 1.05PTotalNodeLoad, and
PTotalCutdownLoad=0, then carry out step (7.2) and update fault set, otherwise carry out step (8);
(7.2) record the malfunction of each circuit in the sample states of power system obtaining in this sampling,
As one not cutting load fault be added to not cutting load fault set;
(8) repeat step (2) until sampling reaches requirement, risk assessment procedures terminate.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1805234A (en) * | 2005-12-21 | 2006-07-19 | 长沙理工大学 | Pattern matching based security protection method for relay protection information of electric system in network environment |
CN101299536A (en) * | 2007-11-08 | 2008-11-05 | 江苏省电力公司 | Power system safety stabilization emergency control policy automatically matching method |
CN103336994A (en) * | 2013-04-16 | 2013-10-02 | 南京南瑞集团公司 | Rapid screening method of expected failure sets in electric power system transient stability assessment |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN1805234A (en) * | 2005-12-21 | 2006-07-19 | 长沙理工大学 | Pattern matching based security protection method for relay protection information of electric system in network environment |
CN101299536A (en) * | 2007-11-08 | 2008-11-05 | 江苏省电力公司 | Power system safety stabilization emergency control policy automatically matching method |
CN103336994A (en) * | 2013-04-16 | 2013-10-02 | 南京南瑞集团公司 | Rapid screening method of expected failure sets in electric power system transient stability assessment |
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影响特高压电网运行的因素及应对策略;张宁 等;《电力系统保护与控制》;20130101;第41卷(第1期);第109-114页 * |
省级电网中短期风险评估系统及其不确定性建模方法研究;辛建波 等;《电力系统保护与控制》;20130101;第41卷(第1期);第84-89页 * |
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