Dynamic feed-in tariffs with reduced complexity and their impact on the optimal operation of a combined heat and power plant

Fraunhofer ISE, Energy Charts; 2018. URL https://energy-charts.de/index.htm. Strbac, 2008, Demand side management: Benefits and challenges, Energy Policy, 36, 4419, 10.1016/j.enpol.2008.09.030 Medina, 2010, Demand response and distribution grid operations: opportunities and challenges, IEEE Trans Smart Grid, 1, 193, 10.1109/TSG.2010.2050156 Lund, 2015, Review of energy system flexibility measures to enable high levels of variable renewable electricity, Renew Sustain Energy Rev, 45, 785, 10.1016/j.rser.2015.01.057 Ströhle, 2016, Local matching of flexible load in smart grids, Eur J Oper Res, 253, 811, 10.1016/j.ejor.2016.03.004 Kakran, 2018, Smart operations of smart grids integrated with distributed generation: A review, Renew Sustain Energy Rev, 81, 524, 10.1016/j.rser.2017.07.045 Selinger-Lutz O, Hollinger R, Wittwer C, Fitzler A, Matthes G, Hoepfner G. CheapFlex: Entwicklung eines kostengünstigen Smart Grid Kommunikationssystems auf Basis der Rundsteuertechnologie: Gesamtbericht: gefürdert im Zuge des Programms Zukunftsfähige Stromnetze: Laufzeit: 01.05.2015 bis 31.10.2017, Tech. rep., [Fraunhofer ISE], [Freiburg]; 2017. Lutz, Oliver, Olavarria, Vicente, Hollinger, Raphael, Wittwer, Christof. Dynamic tariff design for a robust smart grid concept: an analysis of global vs. local incentives. In: Proceedings of IEEE ISGT-Europe 2017, IEEE, Torino, Italy; 2017. Isa NM, Tan CW, Yatim AHM. A comprehensive review of cogeneration system in a microgrid: A perspective from architecture and operating system. Renew Sustainable Energy Rev. 2017. https://doi.org/10.1016/j.rser.2017.06.034. Barbieri, 2012, Analysis of innovative micro-CHP systems to meet household energy demands, Appl Energy, 97, 723, 10.1016/j.apenergy.2011.11.081 Murugan, 2016, A review of micro combined heat and power systems for residential applications, Renew Sustain Energy Rev, 64, 144, 10.1016/j.rser.2016.04.064 Caliano, 2016, Economic optimization of a residential micro-CHP system considering different operation strategies, Appl Therm Eng, 101, 592, 10.1016/j.applthermaleng.2015.11.024 Bianchi, 2012, Guidelines for residential micro-CHP systems design, Appl Energy, 97, 673, 10.1016/j.apenergy.2011.11.023 Seijo, 2016, Modeling and multi-objective optimization of a complex CHP process, Appl Energy, 161, 309, 10.1016/j.apenergy.2015.10.003 Koraki, 2018, Wind and solar power integration in electricity markets and distribution networks through service-centric virtual power plants, IEEE Trans Power Syst, 33, 473, 10.1109/TPWRS.2017.2710481 Haghrah, 2016, Solving combined heat and power economic dispatch problem using real coded genetic algorithm with improved Mühlenbein mutation, Appl Therm Eng, 99, 465, 10.1016/j.applthermaleng.2015.12.136 Nazari-Heris, 2018, A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives, Renew Sustain Energy Rev, 81, 2128, 10.1016/j.rser.2017.06.024 Nazari-Heris, 2019, Combined heat and power economic dispatch problem solution by implementation of whale optimization method, Neural Comput Appl, 31, 421, 10.1007/s00521-017-3074-9 Unterberger, 2018, Design principles for energy flexible production systems, Procedia CIRP, 67, 98, 10.1016/j.procir.2017.12.183 Verband Deutscher Eletkrotechnik VDE. Smart Distribution Virtuelle Kraftwerke in Verteilungsnetzen; Jul. 2008. Kirkerud, 2016, Impacts of electricity grid tariffs on flexible use of electricity to heat generation, Energy, 115, 1679, 10.1016/j.energy.2016.06.147 Pallonetto, 2016, The effect of time-of-use tariffs on the demand response flexibility of an all-electric smart-grid-ready dwelling, Energy Build, 128, 56, 10.1016/j.enbuild.2016.06.041 Buryk, 2015, Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure, Energy Policy, 80, 190, 10.1016/j.enpol.2015.01.030 Neuteleers, 2017, Assessing fairness of dynamic grid tariffs, Energy Policy, 108, 111, 10.1016/j.enpol.2017.05.028 Eder-Neuhauser P, Zseby T, Fabini J, Vormayr G. Cyber attack models for smart grid environments. Sustainable Energy, Grids and Networks. https://doi.org/10.1016/j.segan.2017.08.002 [in press]. Tu, 2017, Big data issues in smart grid – A review, Renew Sustain Energy Rev, 79, 1099, 10.1016/j.rser.2017.05.134 Kabalci, 2016, A survey on smart metering and smart grid communication, Renew Sustain Energy Rev, 57, 302, 10.1016/j.rser.2015.12.114 Selinger-Lutz, 2018, Flexibility assessment of a pool of residential micro combined heat and power systems, Energy Convers. Manage, 172, 228, 10.1016/j.enconman.2018.07.023 Lutz, Oliver, Hollinger, Raphael, Olavarria, Vicente, Wittwer, Christof, Koch, Barbara. Time-optimized dynamic two-step tariffs for CHP operation. In: Proceedings of ETG Congress 2017 - Die Energiewende, Bonn, Germany; 2017. Streckiene, 2009, Feasibility of CHP-plants with thermal stores in the German spot market, Appl Energy, 86, 2308, 10.1016/j.apenergy.2009.03.023 Wille-Haussmann, 2010, Decentralised optimisation of cogeneration in virtual power plants, Sol Energy, 84, 604, 10.1016/j.solener.2009.10.009 Deutscher Bundestag. Gesetz zur Ånderung der Bestimmungen zur Stromerzeugung aus Kraft-Wärm e-Kopplung und zur Eigenversorgung; Jan. 2017. URL https://www.bgbl.de/. asue e.V. BHKW-Consult, BHKW-Kenndaten 2014/2015; Jan. 2014. http://asue.de/. Silvente, 2015, A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids, Appl Energy, 155, 485, 10.1016/j.apenergy.2015.05.090 Tiacci, 2012, Demand forecasting, lot sizing and scheduling on a rolling horizon basis, Int J Prod Econ, 140, 803, 10.1016/j.ijpe.2012.02.007 Fischer, 2016, A stochastic bottom-up model for space heating and domestic hot water load profiles for German households, Energy Build, 124, 120, 10.1016/j.enbuild.2016.04.069 Hermann Recknagel. Taschenbuch fuer Heizung + Klimatechnik, 76th ed. Deutscher Industrieverlag; 2012. Thomas Beck, BHKW-Kenndaten 2014/2015, Module, Anbieter, Kosten, 1st ed. ASUE Arbeitsgemeinschaft für sparsamen und umweltfreundlichen Energieverbrauch e. V., 2014. EPEX SPOT SE: Welcome. https://www.epexspot.com/en/. Pearson, 1895, Note on Regression and Inheritance in the Case of Two Parents, Proc Royal Soc London, 58, 240, 10.1098/rspl.1895.0041 Pearson, 1900, Mathematical Contributions to the Theory of Evolution. VII. On the Correlation of Characters not Quantitatively Measurable, Philosoph Trans Roy Soc A: Mathe Phys Eng Sci, 195, 1 Taylor, 1990, Interpretation of the Correlation Coefficient: A Basic Review, J Diagnost Med Sonography, 6, 35, 10.1177/875647939000600106