Abstract:
Evolution to the new “smart” era requires the implementation of smart technology systems through comprehensive and effective energy management concepts. This paper propos...View moreMetadata
Abstract:
Evolution to the new “smart” era requires the implementation of smart technology systems through comprehensive and effective energy management concepts. This paper proposes a bi-directional energy management system framework for a smart household including renewable energy sources (RES), an energy storage system (ESS) and an electric vehicle (EV). The developed mixed integer linear programming (MILP) model utilizes two-way energy exchange using net metering technology and incorporates an optimizer which decides the power flow among the distributed energy resources (DER) components of the microgrid. Real smart-metering data for PV generation and real-time household load were classified using a clustering technique in order to formulate probabilistic scenarios. The stochastic approach was compared with a deterministic one. Results confirmed the necessity of the proposed stochastic approach as the total expected daily cost for the system within the stochastic approach was much lower compared to its corresponding deterministic case.
Date of Conference: 29 October 2017 - 01 November 2017
Date Added to IEEE Xplore: 18 December 2017
ISBN Information: