Evolutionary Particle Swarm Optimization (EPSO) based technique considering Voltage Stability Margin for Reactive Power Reserve Optimization

Abstract

Reactive power reserve and voltage stability are one of the important parameters required for proper operation of the electrical power system. Voltage stability covers a broad span of phenomena in power systems and its applications. Voltage stability is defined as ability of power system to assist fixed bearable potential at every single bus of the system under standard operating conditions and when put through to a disturbance. At any instant of time, the power system consisting of generating system, transmission system and distribution system its operating condition should be stable. It should meet different functioning criteria. The power system should also be secure in the circumstance of any dependable incidence. Now a day, the power systems are being managed closer to their stability limits due to economic and environmental limitations. Keeping a stable as well as secure operation condition of a power system i.e. generating system, transmission system and distribution system is therefore a very predominant and demanding affair. Evolutionary Particle Swarm Optimization (EPSO) is a variant of Particle Swarm Optimization (PSO) optimization algorithm. PSO is one of the most well-known and applied high-level problem-independent algorithmic framework. Particle swarm optimization (PSO) is a population-based optimization technique motivated by the motion of bird flocks. PSO has been extensively used and it is the inspiration for a new research area called swarm intelligence. PSO is been used for many real-world complex engineering problems. Particle Swarm Optimization (PSO) optimization algorithm reproduce the interactivity between members to share information. Particle swarm optimization (PSO) has been applied to different areas in optimization and in combination with other existing algorithms also. In view of the above, in this paper Evolutionary Particle Swarm Optimization (EPSO) technique is developed for optimizing reactive power reserve maintaining voltage stability margin. The proposed method is implemented on two IEEE test systems, IEEE 14-bus and 30-bus standard test systems respectively. The results obtained by implementation of the Evolutionary Particle Swarm Optimization (EPSO) technique are supported by various Statistics parameters, such as mean value, Median value, mean deviation variance, standard deviation, best value, worst value, frequency of convergence, confidence level, standard error of the mean, confidence interval and length of confidence interval.