https://scholars.lib.ntu.edu.tw/handle/123456789/449047
標題: | Stochastic–multiobjective market equilibrium analysis of a demand response program in energy market under uncertainty | 作者: | MING-CHE HU Lu S.-Y. Chen Y.-H. |
關鍵字: | Demand response; Multiobjective; Nash–Cournot model; Stochastic; Uncertainty analysis | 公開日期: | 2016 | 卷: | 182 | 起(迄)頁: | 500-506 | 來源出版物: | Applied Energy | 摘要: | In the electricity market, demand response programs are designed to shift peak demand and enhance system reliability. A demand response program can reduce peak energy demand, power transmission congestion, or high energy-price conditions by changing consumption patterns. The purpose of this research is to analyze the impact of a demand response program in the energy market, under demand uncertainty. A stochastic–multiobjective Nash–Cournot competition model is formulated to simulate demand response in an uncertain energy market. Then, Karush–Kuhn–Tucker optimality conditions and a linear complementarity problem are derived for the stochastic Nash–Cournot model. Accordingly, the linear complementarity problem is solved and its stochastic market equilibrium solution is determined by using a general algebraic modeling system. Additionally, the case of the Taiwanese electric power market is taken up here, and the results show that a demand response program is capable of reducing peak energy consumption, energy price, and carbon dioxide emissions. The results show that demand response program decreases electricity price by 2–10%, total electricity generation by 0.5–2%, and carbon dioxide emissions by 0.5–2.5% in the Taiwanese power market. In the simulation, demand uncertainty leads to an 2–7% increase in energy price and supply risk in the market. Additionally, tradeoffs between cost and carbon dioxide emissions are presented. © 2016 Elsevier Ltd |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/449047 | ISSN: | 0306-2619 | DOI: | 10.1016/j.apenergy.2016.08.112 | SDG/關鍵字: | Carbon dioxide; Commerce; Costs; Energy utilization; Global warming; Power markets; Stochastic models; Stochastic systems; Carbon dioxide emissions; Cournot model; Demand response; Demand response programs; Linear complementarity problems; Multi objective; Stochastic; Stochastic market equilibriums; Uncertainty analysis; carbon dioxide; carbon emission; demand analysis; electrical power; electricity generation; energy market; energy use; numerical model; price dynamics; stochasticity; trade-off; uncertainty analysis; Taiwan |
顯示於: | 生物環境系統工程學系 |
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