Optimal Distribution of Reactive Power based on Shark Smell Optimization with Pareto Criterion in Power System

In recent years, the electrical industrial convert to a competitive market in some of the countries which is named a deregulated systems. To maintain the stability of power grids and reliable power transmission, in addition to providing active power, reactive power supply is also needed to improve the safety system should be optimized by the operation of the power system. In this paper, we proposed a new solution to management the reactive power which is presented as a long term and non-linear optimization problem. Hence, the planning and improving the power market based on optimal distribution of reactive power has been presented as an optimization problem. The mentioned problem is solved by a new meta-heuristic algorithm which is based on shark smell abilities named Shark Smell Optimization (SSO). This algorithm improved with Pareto criterion to increase the abilities of proposed strategy in nonlinear problem with different constrains. The effectiveness of the proposed method has been applied over tow power system case studies through the comparison with other techniques.