Particle Swarm optimization Algorithm for Optimal Power Flow Incorporating Wind Farms

Nowadays conventional power plants are widely used because of the increasing concerns on power demand. But the conventional power plants affect humans in many ways like global warming, public health and environment. The development of renewable energy resources has given the promising solution to this problem. Many renewable energy resources are available. Among those, wind energy is one of the rapidly growing renewable energy resources. One of the major benefits associated with wind power is that, wind energy resources are available in abundance both on land (onshore) and at sea (offshore). In addition to that, wind farms are available in variety of range. They normally occupy less land space compared to conventional power stations. In this paper, optimal power flow problem in power system which includes wind farm is considered. IEEE 30 bus power system which is modified by replacing three conventional generators with wind farms is considered. Particle swarm optimization algorithm is applied to determine the optimal solution. The optimal solution obtained by particle swarm optimization algorithm has been found to give best result compared to Newton Raphson method.