Optimal placement of wind farm on the power system topology

Abstract

Wind farms can be used in domestic, community and smaller wind energy projects and these can be either stand-alone or grid-connected systems. The stand-alone systems are used to generate electricity for charging batteries to run small electrical applications, often in remote locations where connection to a main power supply is expensive or not physically possible. With grid-connected turbines, the output from the wind turbine is directly connected to the existing main electricity supply. This type of system can be used both for individual wind turbines and for wind farms exporting electricity to the electricity network. A grid-connected wind turbine can be a good proposition if consumption of electricity is high. In this paper, we formulated a wind farm in form of doubly-fed induction generator penetrating into an existing power system. An optimal placement of a wind farm on the power system topology is proposed aiming to minimize fuel and emission costs of the overall system. The multiobjective particle swarm optimization (MPSO) is used to minimize simultaneously fuel cost and emission of existing thermal units by changing location and varying sizes of new wind farm candidate. We employ IEEE 30-bus system to verify the proposed technique. The results show that the proposed method found the optimal position of the wind farm with minimum cost of fuel and environmental pollution.