عنوان

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

TLpq2487471191

انگلیسی

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

[Thesis]

Lambert, William Luke

Alam, Mohammad

Tennessee Technological University

2020

110

M.S.

Tennessee Technological University

2020

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.

Computer science

Electrical engineering

Energy

Alam, Mohammad

Lambert, William Luke

p

[Thesis]

276903

a

Y