Abstract
With the raising share of renewable power generation, economic operation of combined heat and power plants (CHPs) is becoming more challenging. CHPs need to become more flexible to react to volatile renewable infeed and volatile energy prices. Such more flexible operation can be achieved by considering the heat storage capabilities of the connected district heating grid. But finding a good optimization model for heating grid dynamics is hard, as the underlying problem is a mixed integer nonlinear program (MINLP) with bilinear terms and time delays. There has not been much attention on global optimization of this problem yet. In this paper we present a new approach to find a global optimum for this MINLP using multiparametric disaggregation for bilinear terms and proposing “multiparametric delay modeling” for the modeling of time delays. It can be used to benchmark existing and future non-global optimization schemes.
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Acknowledgements
The authors gratefully acknowledge funding by the German Federal Ministry of Education and Research (BMBF) within the Kopernikus Project ENSURE ‘New ENergy grid StructURes for the German Energiewende’.
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Merkert, L., Hohmann, S. (2019). Globally Optimal Short-Term Unit Commitment and Dispatch for Combined Heat and Power Generation Units Connected to District Heating Grids. In: Fortz, B., Labbé, M. (eds) Operations Research Proceedings 2018. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-18500-8_23
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DOI: https://doi.org/10.1007/978-3-030-18500-8_23
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