Abstract
A mayor challenge for the integration of renewable energy sources to the existing power supply system is to provide environment-friendly balance energy which compensates temporal fluctuations in the power supply of wind mills or photovoltaics. In this paper, we analyze a centralized approach for demand side management reducing the need for balance energy. The approach assumes a given set of energy consuming jobs that are freely movable within job-specific pre-defined time intervals. Using the meta-heuristics Tabu Search, a schedule of these jobs is searched that leads to an optimal match of energy demand with energy supply. Different initialization strategies for constructing an initial solution and different alternatives of Tabu Search are evaluated in order to enhance the optimization result. Using realistic data for wind power and synthesized but not unrealistic sets of up to 120,000 jobs, the optimization results show that a considerable reduction of balance energy could be possible by our load shifting method.
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Vogel, U., Sonnenschein, M. (2007). Optimization of Adaptive Consumers to a Time-varying Electricity Supply. In: Gómez, J.M., Sonnenschein, M., Müller, M., Welsch, H., Rautenstrauch, C. (eds) Information Technologies in Environmental Engineering. Environmental Science and Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71335-7_14
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DOI: https://doi.org/10.1007/978-3-540-71335-7_14
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