A real-time evaluation of energy management systems for smart hybrid home microgrids

Marzband, M, Ghazimirsaeid, SS, Uppal, H and Fernando, TP 2017, 'A real-time evaluation of energy management systems for smart hybrid home microgrids' , Electric Power Systems Research, 143 , pp. 624-633.

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Abstract

Real-time energy management within the concepts of home Microgrids (H-MG) systems is crucial for H-MG operational reliability and safe functionality, regardless of simultaneously emanated variations in generation and load demand transients. In this paper, an experimental design and validation of a real-time mutli-period artificial bee colony (MABC) topology type central energy management system (CEMS) for H-MGs in islanding mode is proposed to maximize operational efficiency and minimize operational cost of the H-MG with full degree of freedom in automatically adapt the management problem under variations in the generation and storage resources in real-time as well, suitable for different size and types of generation resources and storage devices with plug-and-play structure, is presented. A self-adapting CEMS offers a control box capability of adapting and optimally operating with any H-MGs structure and integrated types of generation and storage technologies,using a two-way communication between each asset, being a unique inherent feature. This CEMS framework utilizes feature like day-ahead scheduling (DAS) integrated with real-time scheduling (RTS) units, and local energy market (LEM) structure based on Single Side Auction (SSA) to regulate the price of energy in real-time. The proposed system operates based on the data parameterization such as: the available power from renewable energy resources, the amount of non-responsive load demand, and the wholesale offers from generation units and time-wise scheduling for a range of integrated generation and demand units. Experimental validation shows the effectiveness of our proposed EMS with minimum cost margins and plugand-play capabilitities for a H-MG in real-time islanding mode that can be envisioned for hybrid multi-functional smart grid supply chain energy systems with a revolutionary architectures. The better performance of the proposed algorithm is shown in comparison with the mixed integer non-linear programming (MINLP) algorithm, and its effectiveness is experimentally validated over a microgrid test bed. The obtained results show convergence speed increase and the remarkable improvement of efficiency and accuracy under different conditions.

Item Type: Article
Schools: Schools > School of the Built Environment > Centre for Built Environment Sustainability and Transformation (BEST)
Journal or Publication Title: Electric Power Systems Research
Publisher: Elsevier
ISSN: 0378-7796
Related URLs:
Funders: European Commission
Depositing User: TP Fernando
Date Deposited: 07 Dec 2016 13:02
Last Modified: 08 Aug 2017 14:17
URI: http://usir.salford.ac.uk/id/eprint/40943

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