Abstract
This paper presents an optimal production and distribution management for structural and operational optimization of the integrated district heating system (DHS) with multiple regional branches. A DHS consists of energy suppliers and consumers, district heating pipelines network and heat storage facilities in the covered region. In the optimal management system, production of heat and electric power, regional heat demand, electric power bidding and sales, transport and storage of heat at each regional DHS are taken into account. The optimal management system is formulated as a mixed integer linear programming (MILP) where the objectives is to minimize the overall cost of the integrated DHS while satisfying the operation constraints of heat units and networks as well as fulfilling heating demands from consumers. Piecewise linear formulation of the production cost function and stairwise formulation of the start-up cost function are used to compute nonlinear cost function approximately. Evaluation of the total overall cost is based on weekly operations at each district heat branches. Numerical simulations show the increase of energy efficiency due to the introduction of the present optimal management system.
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References
Benonysson, A., et al.: Operation optimization in a district heating system. Energy conversion and management 36(5), 297–314 (1995)
Arroyo, J., Conejo, A.: Optimal response of a thermal unit to and electricity spot market. IEEE Trans. Power Syst. 15(3), 1098–1104 (2000)
Aringhieri, R., Malucelli, F.: Optimal operations management and network planning of a district heating system with a combined heat and power plant. Annals of Operations Research 120, 173–199 (2003)
Sjödin, J., Henning, D.: Calculating the marginal costs of a district heating utility. Appl. Energy 78, 1–18 (2004)
Söderman, J., Pettersson, F.: Structural and operational optimization of distributed energy systems. Applied Thermal Engineering 26, 1400–1408 (2006)
Carrion, M., Arroyo, J.: A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem. IEEE Transactions on power systems 21(3), 1371–1378 (2006)
Naser, A.T., Husam, A.: A linear programming model to optimize the decision-making to managing cogeneration system. Clean Techn. Environ. Policy 9, 235–240 (2007)
Delarue, E., D’haeseleer, W.: Adaptive mixed-integer programming unit commitment strategy for determining the value of forecasting. Applied Energy 85, 171–181 (2008)
Afshar, K., et al.: Cost-benefit analysis and MILP for optimal reserve capacity determination in power system. Applied Mathematics and Computation 196, 752–761 (2008)
Smajo, B., Mesur, H., Muris, D.: Hydrothermal self-scheduling problem in a day-ahead electricity market. Electric Power Systems Research 78, 1579–1596
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Kim, U.S., Park, T.C., Kim, LH., Yeo, Y.K. (2010). Optimal Operation System of the Integrated District Heating System with Multiple Regional Branches. In: Lee, J.H., Lee, H., Kim, JS. (eds) EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology. Springer Proceedings in Physics, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13624-5_6
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DOI: https://doi.org/10.1007/978-3-642-13624-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13623-8
Online ISBN: 978-3-642-13624-5
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