A Rule-Network Based Approach for Fault Diagnosis of HV Transmission Lines and Protection Action Performance Evaluation

doi:10.3969/j.issn.1000-7229.2016.02.005

Abstract

Abstract:

For the situations of complicated and multiple faults with missing and/or false alarms, it is still a challenging task to develop an accurate approach for fault diagnosis of high-voltage （HV） lines and operating behavior evaluation of protective devices. Given this background, this paper presents a rule-network based approach for this purpose by employing fault recorder data. Firstly, the fault recorder data are pre-processed by using the well-developed wavelet transform to extract the fault characteristics of HV lines from analogue electrical information, and the events of sudden current change and protection action are obtained. On this basis, we construct a rule-network based model for fault diagnosis of HV lines with considering the temporal characteristics of alarm messages, determine the sets of fault hypotheses as well as the expected states of protective relays and circuit breaker, and determine the fault cause and evaluate the performance of protection and circuit breaker with using the causal and temporal relationships between them. In addition, we further analyze the fault recorder to determine the type, characteristics and location of fault. Finally, we adopt actual power system fault cases to demonstrate the proposed method.

Key words: high-voltage lines, fault diagnosis, fault recorder information, rule network, wavelet theory

CLC Number:

TM 755

LIAO Zhiwei，YUE Ling，WEN Fushuan，ZHU Bingquan，XU Lizhong. A Rule-Network Based Approach for Fault Diagnosis of HV Transmission Lines and Protection Action Performance Evaluation[J]. Electric Power Construction, 2016, 37(2): 34-41.

References

［1］LEE H J，AHN B S，PARK Y M. A fault diagnosis expert system for distribution substations［J］. IEEE Transactions on Power Delivery，2000，15（1）：92-97.
［2］MIAO H J，SFORNA M，LIU C C. A new logic-based alarm analyzer for on-line operational environment［J］. IEEE Transactions on Power Systems，1996，11（3）：1600-1606.
［3］文福拴，韩祯祥. 基于覆盖集理论和Tabu搜索方法的电力系统警报处理［J］. 电力系统自动化，1997，21（2）：18-23.
WEN Fushuan，HAN Zhenxiang. A new approach to alarm processing in power systems based upon the set covering theory and Tabu search method ［J］. Automation of Electric Power Systems，1997，21（2）：18-23.
［4］束洪春，孙向飞，司大军. 基于粗糙集理论的配电网故障诊断研究［J］. 中国电机工程学报，2001，21（10）：73-77.
SHU Hongchun，SUN Xiangfei，SI Dajun. A study of fault diagnosis in distribution line based on rough set theory ［J］. Proceedings of the CSEE，2001，21（10）：73-77.
［5］廖志伟，孙雅明. 基于数据挖掘模型的高压输电线系统故障诊断［J］. 电力系统自动化，2001，25（15）：15-19.
LIAO Zhiwei，SUN Yaming. A new data mining approach for fault diagnosis of high voltage transmission line based on rough set theory［J］. Automation of Electric Power Systems，2001，25（15）：15-19.
［6］何赞峰，赵冬梅，高曙，等.一种基于故障录波信息的电网故障诊断方法［J］. 电网技术，2002，26（5）：39-43.
HE Zanfeng，ZHAO Dongmei，GAO Shu，et al. A power system fault diagnosis method based on recorded data ［J］. Power System Technology，2002，26（5）：39-43.
［7］KEZUNOVIC M，PREDRAG S，FROMEN C W，et al. An expert system for transmission substation event analysis ［J］. IEEE Transactions on Power Delivery，1993，8（4）：1942-1949.
［8］乐全明，董志赟，郑华珍，等. 基于时态逻辑技术的高压输电线系统故障诊断［J］. 电力系统自动化，2006，30（6）：38-43.
YUE Quanming，DONG Zhiyun，ZHENG Huazhen，et al. Fault diagnosis based on temporal logic technology in HV transmission system ［J］. Automation of Electric Power Systems，2006，30（6）：38-43.
［9］郑华珍，乐全明，郁惟镛，等. 基于小波理论的超高压电网故障时刻提取［J］. 电网技术，2005，29（19）：33-38.
ZHENG Huazhen，YUE Quanming，YU Weiyong，et al. Location of fault moment by wavelet in ultra-high-voltage network based on fault record data［J］. Power System Technology，2005，29（19）：33-38.
［10］费铭薇，乐全明，张沛超，等. 电力系统故障录波数据压缩与重构小波基选择［J］. 电力系统自动化，2005，29（17）：64-67，97.
FEI Mingwei，YUE Quanming，ZHANG Peichao，et al. Wavelets selection of compression and reconstruction algorithm based on digital recorded data from a faulted power system［J］. Automation of Electric Power Systems，2005，29（17）：64-67，97.
［11］张岩，张勇，文福拴，等. 融合信息理论的电力系统故障诊断解析模型［J］. 电力自动化设备，2014，34（2）：158-164，174.
ZHANG Yan，ZHANG Yong，WEN Fushuan，et al. An analytical model for power system fault diagnosis integrated with information theory［J］. Electric Power Automation Equipment，2014，34（2）：158-164，174.
［12］钟锦源，张岩，文福拴，等. 基于时间序列相似性匹配的输电系统故障诊断方法［J］. 电力系统自动化，2015，39（6）：60-67.
ZHONG Jinyuan，ZHANG Yan，WEN Fushuan，et al. A fault diagnosing method in power transmission systems based on time series similarity matching［J］. Automation of Electric Power Systems，2015，39（6）：60-67.
［13］郭文鑫，文福拴，廖志伟，等. 基于时序约束网络的电力系统在线警报处理解析模型［J］. 电力系统自动化，2009，33（21）：36-42.
GUO Wenxin，WEN Fushuan，LIAO Zhiwei，et al. An analytic model for power system on-line alarm processing based on temporal constraint network［J］. Automation of Electric Power Systems，2009，33（21）：36-42.
［14］郭文鑫，廖志伟，文福拴，等. 计及警报信息时序特性的电网故障诊断解析模型［J］. 电力系统自动化，2008，32（22）：26-31.
GUO Wenxin，LIAO Zhiwei，WEN Fushuan，et al. An analytic model for power network fault diagnosis with the temporal information of alarm messages taken into account ［J］. Automation of Electric Power Systems，2008，32（22）：26-31.
［15］吴文可，文福拴，薛禹胜，等. 基于多源信息的延时约束加权模糊Petri网故障诊断模型［J］. 电力系统自动化，2013，37（24）：43-52.
WU Wenke，WEN Fushuan，XUE Yusheng，et al. A weighted fuzzy time Petri net based model with time-delay constraints for power system fault diagnosis employing information from multiple sources［J］. Automation of Electric Power Systems，2013，37（24）：43-52.
［16］张岩，张勇，文福拴，等. 容纳时序约束的改进模糊Petri网故障诊断模型［J］. 电力系统自动化，2014，38（5）：66-72.
ZHANG Yan，ZHONG Yong，WEN Fushuan，et al. Power system fault diagnosis with an enhanced fuzzy Petri net accommodating temporal constraints［J］. Automation of Electric Power Systems，2014，38（5）：66-72.
［17］钟锦源，张岩，文福拴，等. 利用电气量和时序信息的改进Petri网故障诊断模型［J］. 电力系统自动化，2015，39（11）：152-159.
ZHONG Jinyuan，ZHANG Yan，WEN Fushuan，et al. An improved Petri net model for power system fault diagnosis employing electrical data and temporal constraints［J］. Automation of Electric Power Systems，2015，39（11）：152-159.

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