Title :
Model-based long-term electricity generation system planning under uncertainty
Author :
Sun, Ninghong ; Ellersdorfer, Ingo ; Swider, Derk J.
Author_Institution :
Inst. of Energy Econ. & the Rational Use of Energy, Univ. Stuttgart, Stuttgart
Abstract :
Within this paper a stochastic linear mixed-integer model for power plant investment planning under uncertainty is presented. Technical constraints relating to thermal power plants are implemented to better determine their operational flexibility. Modeled with a scenario recombining tree, uncertain wind power generation is explicitly considered in the unit commitment planning. In order to investigate the enhanced impact of heat supply on the electricity market due to increasing capacity of combined heat and power units, district heating systems are incorporated. Modeling results for the German electricity market are discussed regarding the significant influence of uncertainty on investment decisions.
Keywords :
combined cycle power stations; power generation dispatch; power generation planning; power generation scheduling; power markets; German electricity market; combined heat-and-power units; district heating systems; heat supply; investment decisions; long-term electricity generation system planning; operational flexibility; power plant investment planning; stochastic linear mixed-integer model; thermal power plants; uncertain wind power generation; unit commitment planning; Cogeneration; Electricity supply industry; Investments; Power generation; Power system modeling; Power system planning; Stochastic processes; Uncertainty; Wind energy generation; Wind power generation; Combined heat and power; power plant investment; uncertainty; unit commitment;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
DOI :
10.1109/DRPT.2008.4523607
