A Hierarchical Scheme for Voltage and Reactive Power Control with Predator-Prey Brain Storm Optimization

This paper proposes a new method for hierarchical Voltage and Reactive Power Control (VQC) with Predator-Prey Brain Storm Optimization (PPBSO) of high performance evolutionary computation. The objective of VQC is to maintain nodal voltage profiles within certain bounds. Recently, the penetration of renewables has been widely spread in power systems, which has brought about large fluctuations on nodal voltage and system frequency due to weather-dependable generation output. In this paper, an efficient VQC method is proposed with three strategies, i.e., hierarchical optimization, PPBSO and parallel computation of OpenMP. The proposed method is tested in the IEEE 57-node system.