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Sustainability 2017, 9(11), 2010; doi:10.3390/su9112010

A Hybrid RES Distributed Generation System for Autonomous Islands: A DER-CAM and Storage-Based Economic and Optimal Dispatch Analysis

1
Heriot-Watt University, School of Engineering and Physical Sciences, Edinburgh Campus, Edinburgh EH14 4AS, UK
2
Faculty of Engineering, Østfold University College, Kobberslagerstredet 5, 1671 Kråkeroy, Norway
3
Department of Business Development and Technology, Aarhus University, Birk Centerpark 15, 7400 Herning, Denmark
*
Author to whom correspondence should be addressed.
Received: 5 September 2017 / Accepted: 30 September 2017 / Published: 2 November 2017
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Abstract

The possibility of replacing the existing autonomous thermal power plants by Distributed Energy Resources (DER) based on renewable energy sources (RES), along with the appropriate energy storage technologies in order to deal with the major problems that autonomous islands usually face was investigated. A case study of a small Greek island, which is confronted by various energy and water shortages, was studied for assessing the feasibility of DER deployment. The main objectives investigated were cost minimization, CO2 emissions minimization and DER reliability maximization. The DER-CAM (Distributed Energy Resources Customer Adoption Model) decision support tool was used for the multi-objective analysis conducted, which proposes a set of optimal solutions defining the appropriate Distributed Generation (DG) technologies, the capacities of storage and other technologies and the optimal dispatch of the DG system. A mutual beneficial solution, for all stakeholders, was proposed indicating the scope for developing such systems for all islands facing the same problems. View Full-Text
Keywords: distributed generation; DER-CAM; distributed energy resources distributed generation; DER-CAM; distributed energy resources
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Michalitsakos, P.; Mihet-Popa, L.; Xydis, G. A Hybrid RES Distributed Generation System for Autonomous Islands: A DER-CAM and Storage-Based Economic and Optimal Dispatch Analysis. Sustainability 2017, 9, 2010.

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