Relay Protection Condition Assessment Based on Variable Weight Fuzzy Synthetic Evaluation

Transcription

1 Relay Protection Condition Assessment Based on Variable Weight Fuzzy Synthetic Evaluation Speaker: Liang Weichen School : North China Electric Power University liangweichenheng@163.com

2 Introduction A method Variable Weight Fuzzy Synthetic Evaluation (VWFSE) It is used for relay protection condition assessment. It is a improved method of fuzzy synthetic evaluation (FSE).

3 Contents Methods Fuzzy Synthetic Evaluation Variable Weight Fuzzy Synthetic Evaluation Case Study Conclusion

4 Methods Fuzzy Synthetic Support Expert Evaluation Vector scoring Machine rules A considerable ambiguity and Artificial Not uncertainty objective Methods Neural relationship enough Networks between the condition of relay Lack Bayesian protections of theoretical Network and their assessment parameters. basis Expert Assessment Model Intelligent Technologies Fuzzy Theory

5 Fuzzy Synthetic Evaluation (FSE) FSE - It is a common method for condition assessment and is getting more and more attention. - FSE is designed to group raw data into several different categories according to membership functions. Deficiency - The weights of assessment parameters are constant. - The assessment result is not satisfied.

6 Variable Weight Fuzzy Synthetic Evaluation (VWFSE) 1 The Key Point of VWFSE Build of Synthetic Evaluation System 2 3 Membership Function Determining Weights 4 Fuzzy Judgment Result Vector

7 VWFSE-Hierarchy Assessment Structure Environment Temperature a1 Basic Condition A Relative Humidity a2 Relay Protection System Synthetic Assessment Parameter B Synthetic Assessment Parameter C Anti-accident Mesasure an Assessment Parameter b1 Assessment Parameter bn Assessment Parameter c1 Assessment Parameter c2 Assessment Parameter cn

8 VWFSE-Membership Function Fuzzy Distribution Method Relative Humidity Normal Condition Caution Condition Abnormal Condition Failure Condition 1 x x 0.75 x x 0 x 0 x 0 x x x 0.85 x x 0 x 0 x 0 x x x 0.95 x x 0 x 0.75 x x x trapezoid distribution

9 VWFSE - Membership Function Fuzzy relation matrixes Rn m R nm r r 11 1m n r r nm r nm where function. is the value of membership

10 VWFSE Determining Weights Fuzzy Analytic Hierarchy Process The weights Variable Weight Theory

11 VWFSE Determining Weights Fuzzy Consistent Judgment Matrix J nn j j... j j n nn j nn Constant Weights n ( n 1) wi jik a n 2a na 2 k 1 (1) Variable Weights v i X i C C w x i i a a C C p1 i p (2) n wp / (3) x p

12 VWFSE-Fuzzy Judgment Result Vector B V Rn m (4) where denotes the fuzzy operator. Weighted averaging operator

13 VWFSE - The Procedure Select assessment parameters Build the hierarchy assessment structure Part one Build the fuzzy relation matrix Rn m Form the variable weight vector V Part two Part three Calculate the fuzzy judgment result vector B Confirm the assessment result Part four

14 Case Study Relay protection device Assessment parameters Value Environment Temperature 42 Relative Humidity 86% Familial Defects Once and repaired Operating Life 3 years Anti-accident Measure All done Beyond Periodical Inspection Period Half a year Software Fault Condition 10 times Module Fault Condition Communication Equipment Fault Condition Power Supply Operating Life Twice Once 3 years Operating Environment 59 Secondary circuit Operation Box Familial Defects Circuit Anti-accident Measure Circuit Infrared Temperature Circuit Fault Condition Once and unrepaired All done 13 beyond environment temperature Twice Insulation Resistance 0.9MΩ Corrosion 5% Blocking Twice in cable holes The Value of Differential Current 0.5 times smaller than normal range Channel condition The error rate of Optical Fiber Channel The interruption of Optical Fiber Channel 0.5 times smaller than alarm value None

15 Case Study The Weights Comparison Table FSE VWFSE A1 0.14,0.16,0.26,0.12,0.22,0.1 W V A ,0.4,0.2,0.133 A ,0.502,0.136,0.071,0.092,0.05 W V A2 1,0,0,0 W V B ,0.358,0.292,0.192 B ,0.467,0.19,0.147 W V B ,0.308,0.208,0.142 B ,0.719,0.052,0.088

16 Case Study Fuzzy Relation Matrix Table FSE VWFSE R A ' R A R B ' R B R B ' R B

17 Case Study FSE VWFSE Normal Caution Abnormal Failure Normal Caution Abnormal Failure B ' B

18 Conclusion VWFSE is proposed variable weights are the main feature VWFSE solves the deficiency of FSE s result is more objectively and accurately the example proves the effectiveness

19 Conclusion Title Add your text Parameters More teleindication information Running condition data of power grids Structure Improve the hierarchy assessment structure

20 Welcome Criticism! My