NDLI: Smart EA operators for effective service restoration of compensated distribution networks

Content Provider	IEEE Xplore Digital Library
Author	RamezanJamaat, S. Aguirre, H. Akimoto, Y. Tanaka, K.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Shinshu Univ., Nagano, Japan (RamezanJamaat, S.; Aguirre, H.; Akimoto, Y.; Tanaka, K.)
Abstract	An effective service restoration (SR) strategy for distribution network plays a key role in improving service reliability and enhancing customers' satisfaction. Several evolutionary algorithms (EAs) have been developed in order to solve this problem. However, most of them do not include compensators in the plan. Others use some simplifying assumptions in order to limit the search space, which degrade the quality of obtained results. In addition, EAs suffer from high computational burden especially when improper modeling and operators are used. This paper proposes a set of Smart operators for the EA in order to effectively solve the SR problem of compensated distribution networks in an integrated framework. The proposed operators improve the EA's performance by guiding the search to more productive areas of the search space using more information about status of the network. Simulations prove efficiency of the proposed method by providing fast and high quality results.
Starting Page	743
Ending Page	748
File Size	354643
Page Count	6
File Format	PDF
ISBN	9781479913008
DOI	10.1109/ISGT-Asia.2014.6873885
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-20
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reactive power Substations Service restoration Asia Capacitors Loading Smart operators Smart grids Evolutionary algorithms Optimization Compensated distribution networks
Content Type	Text
Resource Type	Article

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