Modelling the Benefits of Smart Energy Scheduling in Micro-grids

Hui Cai, J.H. Huang, Z.J. Xie, Timothy Littler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)
188 Downloads (Pure)


This paper presents a smart energy management strategy (SEMS) to optimise the economic operation of a micro-grid. As an important component of smart grids, the micro-grid acts as a bridge to bundle renewable generation, energy storage systems (ESSs) and electric vehicles (EVs) together. It can be operated either by connecting to upstream distribution systems or isolated with the help of ESSs. In the paper, an economic model of a micro-grid is established based on the influence of energy prices in a day-ahead market. The SEMS is used to schedule power supply/demand of diversified sources to obtain optimal economic operation. Smart management of ESSs, EVs and power exchange with the upstream grid, if possible, are simplified into a single-objective optimisation. Artificial Fish Swarm Algorithm (AFSA) has been used to achieve a practical method for energy management based on three different operation policies. The paper presents results which exemplify the proposed model.
Original languageEnglish
Title of host publicationProceedings of the IEEE Power Engineering Society General Meeting: Powering Up the Next Generation
Publisher IEEE
ISBN (Electronic)978-1-4673-8040-9
Publication statusPublished - 30 Jul 2015
Event2015 IEEE PES General Meeting : Powering Up The Next Generation - USA, Denvor, United States
Duration: 26 Jul 201530 Jul 2015


Conference2015 IEEE PES General Meeting : Powering Up The Next Generation
CountryUnited States


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