Stochastic optimal reactive power planning and active power dispatch with large penetration of wind generation

Abstract

In this paper, an optimal probabilistic reactive power planning and active power dispatch method considering uncertain loads and intermittent wind generation is proposed. Four types of wind generator models, viz, simple PQ model of an induction generator and pitch regulated fixed speed, semi-variable speed, and doubly fed induction generator models, have been considered in this work. The objective of the planning strategy adopted is to maximize the annual profit of the utility. To maximize the profit, a modified particle swarm optimization gravitational search algorithm based optimization technique has been developed. The performance of this developed technique has been compared with those obtained from genetic algorithm, gravitational search algorithm, and modified particle swarm optimization gravitational search algorithm optimization methods. Extensive simulation studies on IEEE-30, IEEE-57, and IEEE-118 bus systems show that the performance of the modified algorithm technique is superior to that of other methods in terms of the value of both the objective function and the reproducibility of results.