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Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification

Author

Listed:
  • Félix Iglesias

    (Energy Department, Austrian Institute of Technology (AIT), Giefinggasse 2, Vienna 1210, Austria)

  • Peter Palensky

    (Energy Department, Austrian Institute of Technology (AIT), Giefinggasse 2, Vienna 1210, Austria)

  • Sergio Cantos

    (Electronics & Communication Department, La Salle, Universitat Ramon Llull, Passeig Bonanova 8, Barcelona 08022, Spain)

  • Friederich Kupzog

    (Energy Department, Austrian Institute of Technology (AIT), Giefinggasse 2, Vienna 1210, Austria)

Abstract

Within the field of Distributed Generation (DG), stand-alone Hybrid Power Systems (HPS) are a suitable solution to provide energy to isolated facilities where the connection to a centralized grid is not affordable. The logical evolution of such systems involves the optimization of power resources and related control strategies, but also enhancements concerning the management of energy loads. This paper introduces Demand Side Management (DSM) strategies specially designed for HPS. They are applied on a real and patented HPS that consists of PV panels, a diesel generator, an inverter and a set of batteries. DSM strategies are built up on a framework of distributed endpointdevices connected to a central control application where loads are identified according to their behavior. System network components, load definitions, the control application and DSM strategies are depicted. Finally, simulations show illustrative savings achieved by the application of some of the proposed strategies.

Suggested Citation

  • Félix Iglesias & Peter Palensky & Sergio Cantos & Friederich Kupzog, 2012. "Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification," Energies, MDPI, vol. 5(11), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:11:p:4517-4532:d:21412
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    References listed on IDEAS

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    1. Ersin Akyuz & Zuhal Oktay & Ibrahim Dincer, 2010. "Energetic, environmental and economic aspects of a hybrid renewable energy system: a case study," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 6(1), pages 44-54, September.
    2. Pepermans, G. & Driesen, J. & Haeseldonckx, D. & Belmans, R. & D'haeseleer, W., 2005. "Distributed generation: definition, benefits and issues," Energy Policy, Elsevier, vol. 33(6), pages 787-798, April.
    3. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
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    Cited by:

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    2. Chauhan, Anurag & Saini, R.P., 2016. "Techno-economic optimization based approach for energy management of a stand-alone integrated renewable energy system for remote areas of India," Energy, Elsevier, vol. 94(C), pages 138-156.
    3. Hashim, Haslenda & Ho, Wai Shin & Lim, Jeng Shiun & Macchietto, Sandro, 2014. "Integrated biomass and solar town: Incorporation of load shifting and energy storage," Energy, Elsevier, vol. 75(C), pages 31-39.
    4. Khairulnadzmi Jamaluddin & Sharifah Rafidah Wan Alwi & Zainuddin Abdul Manan & Khaidzir Hamzah & Jiří Jaromír Klemeš, 2019. "A Process Integration Method for Total Site Cooling, Heating and Power Optimisation with Trigeneration Systems," Energies, MDPI, vol. 12(6), pages 1-34, March.
    5. Mu-Gu Jeong & Seung-Il Moon & Pyeong-Ik Hwang, 2016. "Indirect Load Control for Energy Storage Systems Using Incentive Pricing under Time-of-Use Tariff," Energies, MDPI, vol. 9(7), pages 1-20, July.
    6. Weiqiang Dong & Yanjun Li & Ji Xiang, 2016. "Optimal Sizing of a Stand-Alone Hybrid Power System Based on Battery/Hydrogen with an Improved Ant Colony Optimization," Energies, MDPI, vol. 9(10), pages 1-17, September.

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