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Microgrid distribution system dynamic reactive power optimization based on improved particle swarm algorithms

Microgrid distribution system dynamic reactive power optimization based on improved particle swarm algorithms

Wenhao Zhu1,2,  Qiyi Guo1,  Jianyun Lei3

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 485-488

1 Department of Electrical Engineering, Tongji University, Shanghai, 200092, China;

2 Schneider Shanghai Low Voltage Terminal Apparatus Co., Ltd. Shanghai, 201109, China;

3 College of Computer Science, South-Central University for Nationalities, Wuhan, 430074, China;

Due to the low accuracy and convergence of existing particle swarm algorithm in the micro power dynamic reactive power opti­mi­zation in distribution system, this paper proposes an improved particle swarm algorithm based on the state of the particle and inertia weight optimization. This algorithm first adjusts the status of the states of the particles. Then using Sigmoid mapping to optimize the search ability of the inertia weight in particle swarms algorithm. Finally, using the optimal learning strategies to improve the con­ver­gence of particle swarm optimization algorithm. Through simulation experiments, the proposed improving particle swarm algo­rithm based on particle state and inertia weight optimization owing better convergence than traditional particle swarm opti­mi­zation. Only small error was obtained during dynamic reactive power optimization in micro power distribution system.