Prospect Theory Based Electricity Allocation for GenCos Considering Uncertainty of Emission Price

被引:0
|
作者
Zhang, Yue [1 ]
Zhang, Shaohua [1 ]
机构
[1] Shanghai Univ, Dept Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai, Peoples R China
关键词
Fossil fuel GenCos; Electricity allocation; Prospect theory; Loss aversion; Carbon emissions; RISK; MARKETS;
D O I
10.1007/978-981-10-6364-0_28
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Under the electricity market environment, power generation companies (GenCos) can either sell electricity through the spot market or sell them through bilateral contracts. GenCos have to make electricity allocation strategies among different trading choices facing uncertainty of spot market prices. In addition, uncertainty of the emission price is increasing and will become an important risk factor for fossil fuel GenCos. In this paper, we develop a risk decision model for fossil fuel GenCos' electricity allocation based on the prospect theory, which considers GenCos' loss aversion characteristic. Under uncertainties of the electricity spot market price and emission price, the model maximizes the GenCo's overall prospect value through allocating reasonably electricity between the spot market and bilateral contracts. The simulation results show that GenCos' psychological expected profit and loss aversion characteristic have significant effects on their risk decision-making. As uncertainty of the emission price increases, fossil fuel GenCos will increase electricity sale in the spot market.
引用
收藏
页码:276 / 286
页数:11
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