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

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  • Panagiotis Michalitsakos

    (Heriot-Watt University, School of Engineering and Physical Sciences, Edinburgh Campus, Edinburgh EH14 4AS, UK)

  • Lucian Mihet-Popa

    (Faculty of Engineering, Østfold University College, Kobberslagerstredet 5, 1671 Kråkeroy, Norway)

  • George Xydis

    (Department of Business Development and Technology, Aarhus University, Birk Centerpark 15, 7400 Herning, Denmark)

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, CO 2 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.

Suggested Citation

  • Panagiotis Michalitsakos & Lucian Mihet-Popa & George Xydis, 2017. "A Hybrid RES Distributed Generation System for Autonomous Islands: A DER-CAM and Storage-Based Economic and Optimal Dispatch Analysis," Sustainability, MDPI, vol. 9(11), pages 1-16, November.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2010-:d:117390
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    References listed on IDEAS

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    Cited by:

    1. George A Xydis & Katerina Kremastioti & Maria Panagiotidou, 2022. "Wind energy and the historic environment: A business-driven symbiosis approach," Energy & Environment, , vol. 33(3), pages 582-598, May.
    2. Simona-Vasilica Oprea & Adela Bâra & Adina Ileana Uță & Alexandru Pîrjan & George Căruțașu, 2018. "Analyses of Distributed Generation and Storage Effect on the Electricity Consumption Curve in the Smart Grid Context," Sustainability, MDPI, vol. 10(7), pages 1-25, July.
    3. Orhan Altuğ Karabiber & George Xydis, 2019. "Electricity Price Forecasting in the Danish Day-Ahead Market Using the TBATS, ANN and ARIMA Methods," Energies, MDPI, vol. 12(5), pages 1-29, March.

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