Abstract
Improved particle swarm optimization algorithm was applied to power system reactive power optimization overcomes the traditional particle swarm optimization algorithm's problems, which are easy to fall into local optimum and with low precision. At the same time in the process of operation, this paper proposes a limit on the compensation capacity with dynamic adjustment to avoid over compensation. The proposed algorithm has been successfully applied to IEEE6 bus system, and the comparative results show that active loss and voltage levels have significant improvement. Keywords—reactive power optimization, improved particle swarm algorithm, over compensation
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