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Model predictive control of EV storage battery with HEMS based on particle swarm optimization | IEEE Conference Publication | IEEE Xplore

Model predictive control of EV storage battery with HEMS based on particle swarm optimization


Abstract:

Electric Vehicle (EV) which has a large amount of storage battery can contribute to make Energy Management System (EMS) more effective. While an EV is parking at home or ...Show More

Abstract:

Electric Vehicle (EV) which has a large amount of storage battery can contribute to make Energy Management System (EMS) more effective. While an EV is parking at home or at company, the battery of an EV can be used as an energy storage for smart grids. In this paper, we propose a model predictive control of EV storage battery in Home Energy Management System (HEMS) based on an auto-regressive model and Particle Swarm Optimization (PSO). We also study the effectiveness of Photovoltaics (PV) equipped with EVs. The proposed method controls the states of EV storage battery to minimize the electricity cost of HEMS and evaluates the electric company's profit.
Date of Conference: 03-06 November 2015
Date Added to IEEE Xplore: 21 January 2016
ISBN Information:
Electronic ISSN: 2378-8542
Conference Location: Bangkok, Thailand

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