A self-supporting approach to EV agent participation in smart grid. (July 2018)

• Record Type: Journal Article
• Authors: Habibidoost, Mahdi; Bathaee, Seyyed Mohammad Taghi
• Is Part Of: International journal of electrical power & energy systems. Volume 99(2018)
• Page Start: 394
• Page End: 403
• Publication Date: 2018-07
• Subjects: Decentralized control -- Electric vehicles -- Energy management -- Machine learning -- Multi-agent systems -- Smart grids; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2018.01.003
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Electric Vehicle (EV) as emergency power source is investigated. Stochastic behavior of the EVs are inferred and considered. A multi-agent system in smart microgrid is defined to manage outages. Smart homes in the faulty region optimize their cost during the outage. Abstract: The capability of an Electric Vehicle (EV) as an emergency power source for self-supporting in a Smart Grid is investigated. A multi-agent system including microgrid agent, home agents, and EV agents is defined to manage outages. The functions of agents are explained during the outage and in normal conditions. The microgrid agent orders the islanding operation of the homes in the faulty region. The home agent allocates the loads and the required power from the EVs to optimize the costs during the outage. The EV agent infers the stochastic behavior of the EV used for optimization. It also controls the active and reactive power flow of the EV according to the smart home commands. The simulations of the energy management of the proposed system during a fault in the microgrid for the faulty region, or a fault at the main feeder of the microgrid show promising results.