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Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification
Energy Department, Austrian Institute of Technology (AIT), Giefinggasse 2, Vienna 1210, Austria
Electronics & Communication Department, La Salle, Universitat Ramon Llull, Passeig Bonanova 8, Barcelona 08022, Spain
* Author to whom correspondence should be addressed.
Received: 5 September 2012; in revised form: 17 October 2012 / Accepted: 6 November 2012 / Published: 13 November 2012
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.
Keywords: demand side management; stand-alone systems; distributed generation; hybrid power systems; load management
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MDPI and ACS Style
Iglesias, F.; Palensky, P.; Cantos, S.; Kupzog, F. Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification. Energies 2012, 5, 4517-4532.
Iglesias F, Palensky P, Cantos S, Kupzog F. Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification. Energies. 2012; 5(11):4517-4532.
Iglesias, Félix; Palensky, Peter; Cantos, Sergio; Kupzog, Friederich. 2012. "Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification." Energies 5, no. 11: 4517-4532.