Application of SPEA2 and Monte-Carlo Simulation in Correlation of Specific Values to Multi-objective Optimal Allocations of SVRs
Takafumi Yoshida, Hiroyuki Mori · IEEJ Transactions on Power and Energy · 2011
This paper proposes an efficient multi-objective meta-heuristics (MOMH) for optimal allocation of step voltage regulators. The step voltage regulators (SVRs) deal with the voltage deviations in distribution networks. Recently, the deregulated and competitive power markets bring about uncertainties such as load growths and output of renewable energy like wind power generators, etc. This paper considers the uncertainties in Monte-Carlo-simulation-based method. Also, this paper makes use of improved the strength pareto evolutionary algorithm (SPEA2) for the problems efficiently. It has the remarkable accuracy and the diversity of the solution sets in MOMH. Therefore, it allows system planners to evaluate with many high quality solutions. The proposed method is successfully applied to a sample system.