Optimal Location and Sizing of SVC for Minimization of Power Loss and Voltage Deviation Using NSGA II

The paper proposes an algorithm which is based on NSGA-II (Non Dominated Sorting Genetic Algorithm) having feature of adaptive crowding distance for finding optimal location and sizing of Static Var Compensators (SVC) in order to minimize real power losses and voltage deviation and also to improve voltage profile of a power system at the same time. While finding the optimal location and size of SVC, single line outages are considered as contingencies and voltage limits for the buses are taken as security constraints. To demonstrate the effectiveness of the proposed approach, NSGA-II has been applied for finding optimal location and sizing of SVC on IEEE 30-bus test system. The obtained results are highly encouraging and reveal the capability of the NSGA II to generate well-distributed non-dominated Pareto front.