Optimal Network Decomposition for Voltage and Reactive Power Control with Discrete Parallel Predator-Prey Brain Storm Optimization

Abstract

This paper proposes a new optimal network decomposition method with Discrete Parallel Predator-Prey Brain Storm Optimization (DPPPBSO) for Voltage and Reactive Power Control (VQC) in power systems. Recently, parallel or distributed control is required for complicated power systems. To achieve that, power network decomposition plays a key role to improve VQC. The problem formulation may be expressed as one of combinatorial problems. However, it is difficult to solve them due to the NP-hard problem. In this paper, DPPPBSO is proposed to evaluate better solutions with a couple of strategies of the island model for parallel computation and discretization of solutions through the sigmoid function into PPBSO. The proposed method is successfully applied to the IEEE 57-bus system.