FUKUYAMA Yoshikazu    Department   Undergraduate School  , School of Interdisciplinary Mathematical Sciences    Position   Professor
Date	2018/09/27
Presentation Theme	Modified Brain Storm Optimization for Load Adjustment 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	Daichi Azuma, Yoshikazu Fukuyama, Toru Jintsugawa, Hisashi Fujimoto, Tetsuro Matsui
Details	The paper proposes modified brain storm optimization (MBSO) for load adjustment distribution state estimation (DSE) using correntropy. Minimization of sum of square errors by a weighted least squares (WLS) method has a problem when outliers exit in measured values. This problem can be solved by correntropy. Practical equipment in distribution systems causes nonlinear characteristics in an objective function and evolutionary computation methods such as PSO, hybrid PSO (HPSO) and differential evolutionary PSO (DEEPSO) have been applied to DSE so far. However, there is still room for improvement on estimation accuracy. The proposed method is applied to a typical distribution model system. The results indicate that the proposed method can improve estimation accuracy than the conventional DEEPSO and original BSO based method.