Multi-Objective Optimal Reactive Power Dispatch Considering Probabilistic Load Demand Along with Wind and Solar Power Integration

Fast growing of uncertain renewable energy sources (RES) in power system results difficult to control reactive power. The purpose of optimal reactive power dispatch (ORPD) is to find the appropriate values of PV bus voltages, transformer tapings and shunt var compensation. For the solution to ORPD two conflicting objective functions, active power loss and voltage deviation are minimized simultaneously. Because of the stochastic behavior of wind and solar power generation, appropriate probability distribution functions are considered to model them with Monte-Carlo simulation technique. Solution to multi-objective ORPD (MO-ORPD) problem, NSGA-II along with constraint technique is proposed. Furthermore, IEEE standard 30-bus system is adopted to find the superiority and effectiveness of NSGA-II. Two study cases such as deterministic and stochastic (scenario-based) are considered to analyze the simulation results. The obtained simulation results show that the proposed algorithm has the ability to find the global optimal solution in all the scenarios.