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Optimal Reactive Power Dispatch (ORPD) using Particle Swarm Optimization based on Individual Difference Evolution Algorithm (IDE-PSO)
Ridhwan M.
Aip Conference Proceedings
Abstract
The Optimal Reactive Power Dispatch (ORPD) is one of a non-linear complex optimization problem. The main purpose of ORPD is to obtain minimum power loss by control variable system adjusting in all system limitation requirements. The control variables that need to be optimized are the value of bus generator voltage, tap transformer settings and shunt reactive elements. The Particle Swarm Optimization (PSO) has developed in several new variants. In this research, the PSO algorithm was improved using Individual Different Evolution (IDE-PSO) algorithm. This algorithm was conducted to solve ORPD problem on IEEE 30 bus test system as the research object. The simulation results show that the total value of active and reactive power losses decreased by 1.39% and 1.95% respectively, comparing with the system initial condition. The IDE-PSO algorithm results also were compared with the Standard PSO results. The IDE-PSO algorithm proved to be more effective than the Standard PSO algorithm for ORPD problem.