Fuzzy Logic Based Efficient Load Management Scheme in Vehicle-To-Grid (V2G) Environments

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" Fuzzy Logic Based Efficient Load Management Scheme in Vehicle-To-Grid (V2G) Environments "
Lambert, William Luke Alam, Mohammad

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	1057479
Doc. No	:	TL56596
Main Entry	:	Lambert, William Luke
Title & Author	:	Fuzzy Logic Based Efficient Load Management Scheme in Vehicle-To-Grid (V2G) Environments\ Lambert, William LukeAlam, Mohammad
College	:	Tennessee Technological University
Date	:	2020
Degree	:	M.S.
student score	:	2020
Note	:	110 p.
Abstract	:	As the use of Vehicle-to-Grid (V2G) increases in popularity, so does the need for an efficient energy management scheme. Just as solar power can be used as a supplement to grid power in order to either charge Plug-in Electric Vehicles (PEVs) or appliances connected to the grid, PEVs have a large energy storage capacity that can be utilized as a backup generator in the case of low grid availability or blackout. In this paper, a Fuzzy Logic Inference System is proposed that predicts the energy load management of a Smart Home with access to both PEV energy storage and a Photovoltaic Array (PVA). The system is modeled using a Bayesian Network, and utilizes information on grid availability, solar availability, PEV State of Charge (SoC), pricing demand, and charge urgency to simulate the process of deciding when to charge or discharge PEV energy, as well as when to utilize solar energy from the PVA. Results show that following the proposed scheme reduces monthly and yearly costs for the smart grid prosumer.
Descriptor	:	Computer science
	:	Electrical engineering
	:	Energy
Added Entry	:	Alam, Mohammad
Added Entry	:	Tennessee Technological University