Open AccessReactive power performance analysis of dish–Stirling solar thermal–diesel hybrid energy system
Author(s) -
Hussain Israfil,
Das Dulal Chandra,
Sinha Nidul
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2016.0579
Subject(s) - control theory (sociology) , ac power , static var compensator , stirling engine , diesel generator , particle swarm optimization , electric power system , diesel engine , voltage regulator , automotive engineering , hybrid power , engineering , permanent magnet synchronous generator , diesel fuel , computer science , power (physics) , voltage , electrical engineering , physics , mechanical engineering , algorithm , control (management) , artificial intelligence , quantum mechanics
Reactive power analysis of an autonomous hybrid energy system consisting of dish–Stirling solar thermal system (DSTS), diesel engine generator and static VAR compensator (SVC) has been conducted. Diesel engine coupled to a synchronous generator equipped with automatic voltage regulator (AVR) and DSTS is connected to an induction generator. The parameters of the proportional–integral controllers, employed with SVC and AVR are optimised simultaneously using genetic algorithm (GA), particle swarm optimisation (PSO) and flower pollination algorithm (FPA) techniques. The comparative performance of GA, PSO and FPA optimised controllers on the hybrid system model has been presented considering step change and random variations of solar thermal power as well as reactive power load. Simulation results revealed that FPA optimised controllers for AVR and SVC can provide the improved dynamic performance of the hybrid energy system as compared with GA and PSO optimised controllers.