FUKUYAMA Yoshikazu    Department   Undergraduate School  , School of Interdisciplinary Mathematical Sciences    Position   Professor
Date	2018/09/27
Presentation Theme	Multi-population Differential Evolutionary Particle Swarm Optimization for Distribution State Estimation using Correntropy
Conference	Workshop on Electric Power Technology and Power System Technology of IEE of Japan
Promoters	Technical Committees of Electric Power Technology and Power System of Power & Energy Society of IEE of Japan
Conference Type	Workshop/Symposium
Presentation Type	Speech (General)
Contribution Type	Collaborative
Venue	Nagoya Institute of Technology
Publisher and common publisher	Sohei Iwata, Yoshikazu Fukuyama, Toru Jintsugawa, Hisashi Fujimoto, Tetsuro Matsui,
Details	This paper proposes Multi-population differential evolutionary particle swarm optimization (DEEPSO) for distribution state estimation (DSE) using correntropy. This paper applies Multi-population DEEPSO in order to improve estimation quality. Minimization of sum of square errors by the weighted least mean square (WLS) has a problem when outliers exist in the measure values. Quality of estimated results is largely affected by the outliers using the WLS, while correntropy has a possibility not to be affected by the outliers. The proposed method applies to a typica distribution system. The results indicate that the proposed multi-population DEEPSO based method can improve estimation results compared with conventional DEEPSO based method without outliers. Moreover, the proposed multi-population DEEPSO based method using correntropy can estimate distribution system conditions with outliers more accurately than the proposed multi-population DEEPSO using conventional WLS.