Reactive power optimization model and its algorithms for distribution system with wind farm in electricity market

From the perspective of electricity market and based on the research of variable-speed constantfrequency DFIG(Doubly-Fed Induction Generator),the output power of DFIG is divided into three operational zones according to the direction of reactive power and the relationship between reactive power and active power,and the corresponding function for calculating the reactive power costs is given for each zone.The reactive power optimization model is established,which takes the minimum power loss,reactive power cost and voltage limit violation as its objectives,and solved by the hybrid intelligent algorithm of bacteria foraging optimization and particle swarm optimization with adaptive step-size,which improves the global searching ability in early stage and the local searching ability in late stage to avoid the easy local optimal solution of bacteria foraging optimization.Case simulation shows that,the proposed method effectively reduces the network loss and fully mobilizes the wind farm in the reactive voltage regulation.