عنوان

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

شماره

TLpq2487471191

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

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

نام عام مواد

[Thesis]

نام نخستين پديدآور

Lambert, William Luke

نام ساير پديدآوران

Alam, Mohammad

نام ناشر، پخش کننده و غيره

Tennessee Technological University

تاریخ نشرو بخش و غیره

2020

نام خاص و کميت اثر

110

جزئيات پايان نامه و نوع درجه آن

M.S.

کسي که مدرک را اعطا کرده

Tennessee Technological University

امتياز متن

2020

متن يادداشت

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.

موضوع مستند نشده

Computer science

موضوع مستند نشده

Electrical engineering

موضوع مستند نشده

Energy

مستند نام اشخاص تاييد نشده

Alam, Mohammad

مستند نام اشخاص تاييد نشده

Lambert, William Luke

نام الکترونيکي

فرمت انتشار

p

نوع ماده

[Thesis]

کد کاربرگه

276903

سطح دسترسي

a

تكميل شده

Y