Title: PSO-based control optimisation of microgrid with D-FACTS

Authors: Hossam A. Gabbar; Abdelazeem A. Abdelsalam; Adel M. Sharaf

Addresses: Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology, Canada ' Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology, Canada; Department of Electrical Engineering, Faculty of Engineering, Suez Canal University, 41522, Ismailia, Egypt ' Sharaf Energy Inc., New Brunswick, Canada

Abstract: Distributed energy resources are widely used within microgrid to offer optimised electricity supply to meet demand patterns in local regions. A proposed microgrid design comprising novel distribution FACTS devices is presented in this paper. The proposed design is used to stabilise the bus voltages, reduce the feeder losses, improve the power factor and mitigate the harmonic distortion. Modulated power filter compensators and green plug filter compensator are presented as AC-side and DC-side D-FACTS devices, respectively. D-FACTS devices are controlled using multi-loop error driven self-tuned PID controllers. The particle swarm optimisation is developed to optimise the self-tuning of PID controllers to achieve an effective integration of distributed energy resources technologies and to give higher microgrid performance. The results shown are generated from MATLAB simulation of the presented microgrid, where comparisons of the results with and without D-FACTS devices are presented. Results show superiority and improved performance using the presented D-FACTS.

Keywords: distributed energy resources; DER; microgrid control; D-FACTS; particle swarm optimisation; PSO; control optimisation; microgrid design; FACTS; self-tuning control; PID controllers; bus voltages; feeder losses; harmonic distortion; modulated power filter compensators; green plug filter compensators; simulation.

DOI: 10.1504/IJPEC.2016.075066

International Journal of Power and Energy Conversion, 2016 Vol.7 No.1, pp.21 - 41

Received: 10 Nov 2014
Accepted: 27 Mar 2015

Published online: 02 Mar 2016 *

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