Voltage Control of Wind and Diesel-Based Distributed Generating System Using PSO and CSA

Abstract

The power sector worldwide promotes more penetration of distributed generation (DG) at distribution network (DN) as a cost-effective solution to supply ever increasing power demand. DG is one of the promising solutions to supply smaller isolated system where diesel- and wind-based generating units operate in parallel to achieve greater reliability. In this work, transient performance of such hybrid power system has been analyzed using its state-space model in the event of reactive power load perturbations. The performances of three types of static var compensators (SVC) are compared to ascertain their capabilities to quickly damp out the terminal voltage deviations. Two evolutionary optimization techniques, namely cuckoo search algorithm (CSA) and particle swarm optimization (PSO), are presented for the tuning of SVCs controller gains. It is revealed that gains tuned with CSA and PSO present significant improvement in the dynamic behavior of the system as compared to conventional optimization technique.