期刊
IET RENEWABLE POWER GENERATION
卷 11, 期 6, 页码 750-762出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2016.0579
关键词
reactive power; hybrid power systems; photothermal conversion; photovoltaic power systems; diesel-electric generators; static VAr compensators; synchronous generators; asynchronous generators; voltage control; PI control; genetic algorithms; particle swarm optimisation; power generation control; reactive power performance analysis; dish-Stirling solar thermal-diesel hybrid energy system; autonomous hybrid energy system; diesel engine generator; static VAR compensator; SVC; synchronous generator; automatic voltage regulator; AVR; DSTS; induction generator; proportional-integral controllers; genetic algorithm; particle swarm optimisation; PSO; flower pollination algorithm; FPA optimised controllers; step change; random variations; reactive power load; dynamic performance improvement
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.
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