Parallel Canonical Differential Evolutionary Particle Swarm Optimization for Voltage and Reactive Power Control

This paper proposes parallel canonical differential evolutionary particle swarm optimization (C-DEEPSO) for voltage and reactive power control (Volt Var Control: VVC). The problem can be formulated as a mixed integer nonlinear optimization problem (MINLP) and various evolutionary computation techniques have been applied to the problem including PSO, differential evolution (DE), and DEEPSO. Since VVC is one of the on-line controls, speed-up of computation is required. Moreover, there is still room for improvement on solution quality. This paper proposes parallel C-DEEPSO in order to speed up the calculation and improve solution quality and applies it to a VVC problem. The proposed method is applied to IEEE 118 bus system. The results indicate that the proposed method can realize fast computation and minimize active power losses more than conventional evolutionary computation techniques. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.