Optimisation framework for the design and operation of open-market urban and remote community microgrids

Meena, N. K., Yang, J. and Zacharis, E. (2019) Optimisation framework for the design and operation of open-market urban and remote community microgrids. Applied Energy, 252, 113399. (doi: 10.1016/j.apenergy.2019.113399)

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In this article, a new business model considering multiple stakeholders is proposed to develop a framework for third-party investment and future flexible retail electricity market in community microgrids. The proposed two-stage optimisation platform generates opportunities for multiple stakeholders to invest in the design of community microgrids, comprising multiple and different distributed energy resources such as renewable generation units, battery energy storage systems, and micro diesel engines, to minimize daily operational costs of the system. To proliferate the prosumers in retail energy markets as per the Office of Gas and Electricity Markets, United Kingdom, a peer-to-peer energy trading and energy management scheme is also proposed. The optimal sizing of urban and remote community microgrids are determined in stage-1, followed by their optimal operations to minimise the daily operating cost of the community system in stage-2. An improved version of the genetic algorithm is employed to optimise decision variables in both the stages. Different cases are investigated which show the tremendous potential of revenue generation for all stakeholders while effectively optimizing techno-economic operations of microgrids.

Item Type:Articles
Additional Information:The work is supported by the research projects “Electricity Satnav - Electricity Smart Availability Topology of Network for Abundant electric Vehicles (EPSRC Reference: EP/ R001456/1)” and “Street2Grid – An Electricity Blockchain Platform for P2P Energy Trading (EPSRC Reference: EP/S001778/1)” which are funded by the Engineering and Physical Sciences Research Council (UK Research and Innovation).
Glasgow Author(s) Enlighten ID:Yang, Dr Jin
Authors: Meena, N. K., Yang, J., and Zacharis, E.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Applied Energy
ISSN (Online):1872-9118
Published Online:15 June 2019
Copyright Holders:Copyright © 2019 Elsevier Ltd.
First Published:First published in Applied Energy 252:113399
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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