Solution of Reactive Power Dispatch problems using Enhanced Dwarf Mongoose Optimization Algorithm

This paper proposes a hybrid metaheuristic algorithm for solving reactive power dispatch (RPD) problem. RPD is an optimization problem that minimizes the real power loss, total deviation in voltage and enhances the stability of voltage to secure and maintain an economical operating state in power system. In this paper, an enhanced local search capacity is achieved by incorporating the symbiotic organism search (SOS) into the Dwarf Mongoose optimization Algorithm (DMOA). The DMOA handles the exploration process in the proposed algorithm, while the mutualism phase and the DMOA’s local search process work together to solve the exploitation process. The suggested technique is used to find the best settings for minimizing actual power loss, total voltage variation, and L-Index. The MATLAB program has been developed for the objectives of the RPD problem and tested for IEEE 30 bus test system. The results of the proposed method are compared to those of various other algorithms including the original DMOA, and are shown to be superior. The efficiency and robustness of the hybrid algorithm is confirmed by the statistical analysis.