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.

Item Type:	Conference Proceedings
Keywords:	Virtual Power Plants, intelligent control, multi-agent system, distributed energy resources, aggregation, insecurity factor, fuzzy logic
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Research Centres and Groups:	Dynamics, Control and Vehicle Research Group
Subjects:	T Technology > T Technology (General) > T0055.4 Industrial engineering. Management engineering > T0059.5 Automation T Technology > TA Engineering (General). Civil engineering (General) > TA0170 Environmental engineering T Technology > TD Environmental technology. Sanitary engineering > TD0172 Environmental pollution T Technology > TJ Mechanical engineering and machinery > TJ0163.13 Power resources T Technology > TJ Mechanical engineering and machinery > TJ0210.2 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) T Technology > TJ Mechanical engineering and machinery > TJ0212 Control engineering systems. Automatic machinery (General) T Technology > TJ Mechanical engineering and machinery > TJ0807 Renewable energy sources T Technology > TJ Mechanical engineering and machinery > TJ0807 Renewable energy sources > TJ0810 Solar energy T Technology > TJ Mechanical engineering and machinery > TJ0807 Renewable energy sources > TJ0820 Wind power T Technology > TJ Mechanical engineering and machinery > TJ0807 Renewable energy sources > TJ0820 Wind power > TJ0828 Wind turbines T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK0452 Electric apparatus and materials. Electric circuits. Electric networks T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power. Powerplants. Central stations T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3001 Distribution or transmission of electric power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4001 Applications of electric power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4601 Electric heating
Related URLs:	https://ieeexplore.ieee.org/xpl/conhome....
Depositing User:	Spyros Skarvelis-Kazakos
Date Deposited:	27 Jul 2018 14:47
Last Modified:	27 Jul 2018 15:29
URI:	http://srodev.sussex.ac.uk/id/eprint/77408

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