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Intelligent power management in micro grids with EV penetration |
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| Authors: | Bhuvaneswari Ramachandran Sanjeev K Srivastava David A Cartes |
| Affiliation: | 1. Department of Electrical and Computer Engineering, University of West Florida, Pensacola, FL 32514, USA;2. Siemens Corporate Research, 755 College Rd. E, Princeton, NJ 08540, USA;3. Institute for Energy Systems, Economics and Sustainability (IESES), Program Lead, Control and Automation, Center for Advanced Power Systems (CAPS), Florida State University, 2000 Levy Ave., Suite 360, Tallahassee, FL 32310, USA |
| Abstract: | Large deployment of Electric Vehicles (EVs) adds new challenges in the operation of a microgrid. Assuming that a number of EV owners allow their batteries to charge when their cars are parked, this paper proposes an approach that aims to find suitable individual active power set-points corresponding to the hourly charging rate of each EV battery connected to the microgrid. A multi agent system based controller is designed to find these active power set points for optimal power management of EVs, distributed energy resources in the microgrid, and the loads. |
| Keywords: | Artificial immune system Decentralized control Microgrid Multi agent system Electric vehicles Power management |
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