Sell Your Projects | My Account | Careers | This email address is being protected from spambots. You need JavaScript enabled to view it. | Call: +91 9573777164

Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services

1 1 1 1 1 Rating 4.89 (37 Votes)

PROJECT TITLE :

Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services

ABSTRACT:

Vehicle-to-grid (V2G), the provision of energy and ancillary services from an electric vehicle (EV) to the grid, has the potential to offer financial benefits to EV owners and system benefits to utilities. In this work a V2G algorithm is developed to optimize energy and ancillary services scheduling. The ancillary services considered are load regulation and spinning reserves. The algorithm is developed to be used by an aggregator, which may be a utility or a third party. This algorithm maximizes profits to the aggregator while providing additional system flexibility and peak load shaving to the utility and low costs of EV charging to the customer. The formulation also takes into account unplanned EV departures during the contract periods and compensates accordingly. Simulations using a hypothetical group of 10 000 commuter EVs in the ERCOT system using different battery replacement costs demonstrate these significant benefits.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services - 4.9 out of 5 based on 37 votes

Project EnquiryLatest Ready Available Academic Live Projects in affordable prices

Included complete project review wise documentation with project explanation videos and Much More...