عنوان

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

Number

TL56596

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

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

General Material Designation

[Thesis]

First Statement of Responsibility

Lambert, William Luke

Subsequent Statement of Responsibility

Alam, Mohammad

Name of Publisher, Distributor, etc.

Tennessee Technological University

Date of Publication, Distribution, etc.

2020

Text of Note

110 p.

Dissertation or thesis details and type of degree

M.S.

Body granting the degree

Tennessee Technological University

Text preceding or following the note

2020

Text of Note

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.

Subject Term

Computer science

Subject Term

Electrical engineering

Subject Term

Energy

Lambert, William Luke

Alam, Mohammad

Tennessee Technological University

Electronic name

p

[Thesis]

276903

a

Y