4.5 Article

Comparative performance evaluation of WCA-optimised non-integer controller employed with WPG-DSPG-PHEV based isolated two-area interconnected microgrid system

期刊

IET RENEWABLE POWER GENERATION
卷 13, 期 5, 页码 725-736

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2018.5419

关键词

power generation control; solar power; power system interconnection; sensitivity analysis; three-term control; solar power stations; wind power plants; control system synthesis; frequency control; distributed power generation; hybrid electric vehicles; diesel engines; particle swarm optimisation; power grids; WCA-optimised noninteger controller; WPG-DSPG-plug-in; hybrid electric vehicle; two-area interconnected microgrid system; dish-Stirling solar power generation system; diesel engine; heat pump; freezer; water cycle algorithm; fractional-order proportional-integral-derivative controllers; comparative performance analysis; PID; filter; particle swarm optimisation; firefly algorithm; frequency deviation; tie-line power; WCA-optimised FOPID controller; frequency bias; wind power generation; distributed generation systems; heuristic optimisation technique; frequency control

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This study endeavours an effective frequency control of renewable-based isolated two-area interconnected microgrid (IC mu G) without battery, incorporating wind power generation in area-1, dish-Stirling solar power generation system in area-2 and other common distributed generation systems such as diesel engine driven generator, plug-in hybrid electric vehicle, heat pump and freezer in both the areas. A recently developed heuristic optimisation technique called water cycle algorithm (WCA) is applied to optimally tune the parameters of the non-integer fractional-order proportional-integral-derivative (FOPID) controllers employed with IC mu G. Application of WCA-based FOPID controllers in frequency control two-area IC mu G without battery is a novel work. The comparative performance analysis of proportional-integral-derivative (PID), PID with filter and non-integer order-based FOPID controller with their gains tuned by particle swarm optimisation (PSO), improved PSO, firefly algorithm and WCA algorithms indicates the superiority of WCA-based FOPID controller's under different case studies (considering different load disturbances, wind speed variation with real data, and solar irradiance) in terms of frequency deviation, tie-line power, and objective function. Furthermore, the sensitivity analysis contemplates that WCA-optimised FOPID controller can withstand +/- 25% change in synchronising coefficient, +20% change in loading condition and +/- 25% change in frequency bias constant without resetting the gain values.

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