Skarvelis-Kazakos, Spyros (2018) Automating virtual power plant decision making with fuzzy logic and human psychology. 53rd International Universities Power Engineering Conference, Glasgow, UK, 4th-7th September 2018. Published in: 2018 53nd International Universities Power Engineering Conference (UPEC). Institute of Electrical and Electronics Engineers (Accepted)
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Abstract
This paper presents a Virtual Power Plant (VPP) decision making approach which uses fuzzy logic and a novel “insecurity” metric, based on human psychology. The VPP approach is modelled as a multi-agent system, which aims to minimize carbon emissions and/or energy cost, using an aggregation structure similar to energy or carbon markets. The “insecurity factor” reflects the operational flexibility of micro-generators, translated to a numerical value through fuzzy logic. The system was able to create a functional internal VPP market, where the micro-generators were trading autonomously according to external price signals and taking into account their own needs and limitations, as well as short-term forecasts.
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