論文

査読有り
2018年2月2日

Stochastic optimal allocation of PMUs for improving the accuracy of state estimation

2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
  • H. Mori
  • ,
  • S. Ogawa
  • ,
  • H. D. Chiang

2018-
開始ページ
1
終了ページ
6
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/SSCI.2017.8280845
出版者・発行元
Institute of Electrical and Electronics Engineers Inc.

In this paper, a new method is proposed for the optimal allocation of Phasor Measurement Units (PMUs) in power system state estimation. They play an important role to provide more accurate measurements with state estimation. This paper focuses on the improvement of the estimates accuracy with them. In practice, it is of main concern how to optimize the allocation for a set of power system conditions. The proposed method makes use of Evolutionary Particle Swarm Optimization (EPSO) to determine the optimal allocation of PMUs. In practice, the optimal allocation is dependent upon the power system conditions. To overcome the problem, this paper introduces Monte Carlo Simulation (MCS) in consideration of the nodal correlation. Specifically, Moment Matching Method is used to evaluate the optimal allocation efficiently. The effectiveness of the proposed method is demonstrated in the IEEE 30-node power system.

リンク情報
DOI
https://doi.org/10.1109/SSCI.2017.8280845
ID情報
  • DOI : 10.1109/SSCI.2017.8280845
  • SCOPUS ID : 85046146394

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