Monzafari, B.; Amraee, T.; Ranjbar, A.; Shirani, A.
Sharif University of Technology
This paper deals with the application of Particle Swarm Optimization algorithm (PSO) for reactive power scheduling in a deregulated power system. Reactive power procurement is modeled as a security constraint optimal power flow incorporating voltage stability problem. The model attempts to minimize the cost of reactive power procurement and energy losses as main objectives whereas technical criteria and voltage stability margin, in special, are treated as soft constraints. From mathematical point of view, reactive power market can be expressed as a nonlinear optimization problem. Here the PSO is implemented to find the optimal point of the reactive power market. Reactive power market is simulated over the IEEE30 bus system and the results are compared with another evolutionary searching method such as genetic algorithm (GA) in terms of quantity and precision. Results indicate that the PSO has a good potential to converge to a better feasible solution in less iteration and it can be used successfully for reactive power optimization in restructured environments.
