Multi-Objective ORPD Considering Different Load Models for Active Distribution Networks

Secure and economical operation of distribution networks needs the management of reactive power resources. Optimal Reactive Power Dispatch (ORPD) optimally manages the reactive power scheduling of generators and distribution generations, as well as the Reactive Power Compensation (RPC) devices. This paper investigates the effect of load models on the multi-objective ORPD problem in active distribution networks. Moreover, a modified Grey Wolf Optimizer (GWO), called Civilized GWO (CGWO), is introduced in this paper to solve the ORPD problem. The proposed strategy, including multi-objective function, various load models, DG’s reactive power, RPCs, and the introduced CGWO, is tested on standard IEEE 33- and 69-bus distribution systems. The results indicate that the load models have a significant impact on the cost function amount. Moreover, the performance of the proposed algorithm is evaluated using ten standard benchmark functions. The optimization results demonstrate the robustness of the introduced optimization algorithm and its capability in finding better solutions than the Particle Swarm Optimization (PSO), Exchange Market Algorithm (EMA), and the original GWO.