Title: Optimisation of the dynamic performance of the photo-voltaic and wind-turbine hybrid-energy system using the particle-swarm optimisation technique
Authors: Hilmy Awad; Mostafa S. Fathy; Hosam Hegazy; E.E. Elkholy
Addresses: Faculty of Industrial Education, Helwan University, Egypt ' Ministry of Higher Education, College of Technology, Egypt ' Faculty of Industrial Education, Helwan University, Egypt ' Engineering Department, Faculty of Engineering, Menoufia University, Egypt
Abstract: In order to overcome the intermittence of renewable energy sources, such sources are connected in parallel forming hybrid systems. One of these hybrid systems is presented in this paper aiming to investigate and improve its dynamic performance. The hybrid energy system is composed of photovoltaic (PV) arrays and wind turbine (WT) that drives a doubly-fed induction generator (DFIG). Both the PV and WT are linked together through a DC-capacitor link. In order to improve the dynamic performance, a particle-swarm optimisation algorithm is implemented to tune the gains of the applied controllers. The obtained optimum gains are then implemented in a simulation model using the Simulink program (MATLAB). Results in the case of optimised gains are compared with initial design results in the relevant literature. Results show that the dynamic performance of the hybrid energy system with PSO is improved in terms of speed and steady-state error.
Keywords: doubly-fed induction generator; DFIG; wind turbine; maximum power point tracking; MPPT; particle-swarm optimisation algorithm; photovoltaic; PV.
International Journal of Industrial Electronics and Drives, 2020 Vol.5 No.2, pp.78 - 84
Received: 11 Sep 2019
Accepted: 19 Dec 2019
Published online: 03 Jun 2021 *