Optimal Power Flow Incorporating Static Var Compensator using PSO Algorithm
Abstract
This paper presents a Particle Swarm Optimization based algorithm for Optimal Power Flow (OPF) incorporating Static VAR Compensator (SVC). Optimal power flow is an essential tool for the proper operation and planning of modern power systems. The main objective of an OPF is to find a stable operation point which minimizes the active power generation cost while satisfying the system and network constraints as generator capacity limits, power balance, line flow limits, bus voltages and transformer tap setting. OPF is carried out by incorporating SVC into the system for injecting required reactive power to maintain the voltage profile. Here, Particle Swarm Optimization technique, a population based stochastic optimization technique is used as the optimization tool. The ability of SVC to improve the system voltage is also analyzed here. The proposed methodology is tested and validated in a standard 5 bus system and an IEEE 30 bus test system.
Keywords: Optimal power flow, static VAR compensator, particle swarm optimization, generation Cost
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