Enhanced transient search optimization algorithm-based optimal reactive power dispatch including electric vehicles

Optimal reactive power dispatch (ORPD) in electrical networks is essential for the secure and stable operation of the entire power system; it also significantly impacts the economic situation. However, the solution of ORPD is highly complex while considering the multiple variables, time-varying characteristics, dynamic loads such as electric vehicles, and operational constraints. The ORPD problem is classified as a non-linear, non-convex complex problem. Thus, a robust optimization technique should be utilized to solve the ORPD. This paper presents a novel Enhanced Transient Search Optimization (ETSO) technique for the optimal solution of the ORPD problem by integrating electric vehicles (EVs). The proposed ETSO implemented for the optimal solution of ORPD consequently minimize the active power loss and voltage deviation at the load buses. The proposed method is tested and verified on the IEEE 30-bus, the IEEE-57 bus, and IEEE 118-bus systems. The simulation results show the robustness and efficiency of the proposed ETSO optimization in solving the ORPD problem by evaluating and comparing it with other well-established metaheuristic optimization methods under the same system data, control variables, and constraints. Statistical features of the proposed ETSO algorithm and the re-sults obtained led to an improvement in the performance of the power systems.

Automated summary

This paper proposes a novel Enhanced Transient Search Optimization (ETSO) technique that integrates electric vehicles (EVs) for the optimal solution of the Optimal Reactive Power Dispatch (ORPD) problem. The proposed method minimizes the active power loss and voltage deviation at the load buses. It is tested and compared with other metaheuristic optimization methods on different IEEE bus systems, showing robustness and efficiency in solving the ORPD problem and improving the performance of power systems.