Multi-objective Shark Smell Optimization for Solving the Reactive Power Dispatch Problem

In this paper, a new multi-objective shark smell optimization (MOSSO) algorithm is proposed for solving the reactive power dispatch problem based on operational constraints of the generators. This multi-objective problem applied to discovery the settings of continuous as well as discrete control parameters i.e., tap location of tap changing transformers, voltage of generator, and the reactive compensation devices value to solve three objectives at the same time as: voltage deviation, the total voltage stability and real power loss. To improve the abilities of proposed optimization algorithm a Pareto dominance is considered to provide and sort the dominated and non-dominated solutions. Effectiveness of the proposed approach is applied on different test cases and demonstrated through comparing its performance with other algorithms. The results confirm the proposed algorithm great potential in handling the multi objective problems in power systems.