Kinetic-Molecular Theory Optimization Algorithm Based on Crystallization Process for Optimal Reactive Power Dispatch

Abstract

In this paper, a kinetic-molecular theory optimization algorithm based on crystallization process (C-KMTOA) for optimal reactive power dispatches proposed. The method is based on kinetic-molecular theory optimization algorithm (KMTOA), the optimization process is redefined by simulating the physical crystallization process. Based on the minimum active network loss of the system, a mathematical model of reactive power optimization is established. The simulation experiment of IEEE30 node test system. The results show that compared with several other algorithms, the proposed C-KMTOA algorithm is more effective in solving the problem of reactive power optimization, more practical value.