Abstract:

For the problems of changing flow distribution and increasing network losses as the wind farm incorporates into the power network,a new algorithm for bacteria foraging optimization is proposed and applied to the reactive power optimization of wind farms by establishing the mathematical model of the reactive power optimization of asynchronous wind generators.Taking IEEE-30 node for example,we use the traditional algorithms,particle swarm optimization algorithm and bacteria foraging optimization algorithm to achieve rates of network loss decline of 30.29%,28.70% and 36.98%,respectively.Experiments and analysis show that the method is efficient,strong in global search capability and easy to be out of local extremes.

Key words: wind farm;reactive power optimization;wind generator;bacteria foraging optimization algorithm