Title :
Field Tests of a Microgrid Control System
Author :
Funabashi, T. ; Fujita, Goro ; Koyanagi, Kaoru ; Yokoyama, Ryuichi
Author_Institution :
Meidensha Corp.
Abstract :
A microgrid control system using multi-agent technologies is proposed. In this control system, operation planning is realized based on generation and load forecasting by using artificial neural network and fuzzy systems. Unit commitment of generations includes start/stop of power generations and energy storages. Load following function is accomplished by an adaptive control system based on conventional PI control scheme. To include, in a flexible manner, new generations or loads into the microgrid, multi-agent technologies might be applied. In this paper, at first proposed microgrid control system is outlined and then field tests outline is stated
Keywords :
adaptive control; fuzzy control; load forecasting; multi-agent systems; neurocontrollers; power engineering computing; power generation control; power generation dispatch; power generation planning; power generation scheduling; power grids; adaptive control; artificial neural network; energy storage; field tests; fuzzy system; load forecasting; microgrid control; multiagent technology; power generation operation planning; unit commitment; Adaptive control; Artificial neural networks; Control systems; Energy storage; Fuzzy systems; Load forecasting; Power generation; Power generation planning; Power system planning; System testing; Microgrid; generation and load forecasting; load following; multi-agent system; operation planning;
Conference_Titel :
Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International
Conference_Location :
Newcastle upon Tyne
Print_ISBN :
978-186135-342-9
DOI :
10.1109/UPEC.2006.367750