Nontechnical Loss and Outage Detection Using Fractional-Order Self-Synchronization Error-Based Fuzzy Petri Nets in Micro-Distribution Systems

被引:48
作者
Chen, Shi-Jaw [1 ]
Zhan, Tung-Sheng [2 ]
Huang, Cong-Hui [3 ]
Chen, Jian-Liung [2 ]
Lin, Chia-Hung [2 ]
机构
[1] Kao Yuan Univ, Dept Greenergy Sci & Technol, Kaohsiung 814, Taiwan
[2] Kao Yuan Univ, Dept Elect Engn, Kaohsiung 814, Taiwan
[3] Far East Univ, Dept Automat & Control Engn, Tainan 744, Taiwan
关键词
Advanced metering infrastructure (AMI); fractional-order self-synchronization error (FOSE); fuzzy petri net (FPN); nontechnical loss (NTL); CHAOS SYNCHRONIZATION; MANAGEMENT;
D O I
10.1109/TSG.2014.2345780
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Load management is a challenging issue in microdistribution systems dealing with power utilities. To efficiently detect fraudulent and abnormal consumption, this paper proposes the use of fractional-order self-synchronization error-based Fuzzy Petri nets (FPNs) to detect nontechnical losses and outage events. Under the advanced metering infrastructure technique, the Sprott system is a feature extractor, which tracks the differences between profiled usages and irregular usages, such as illegal and fault events. Thus, fraudulent consumption, outages, and service restoration activities can be pointed out, randomly initiated, and terminated in a real-time application. Multiple FPNs-based making-decision systems are used to locate abnormalities. Computer simulations are conducted using an IEEE 30-bus power system and medium-scale microdistribution systems to show the effectiveness of the proposed method.
引用
收藏
页码:411 / 420
页数:10
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