Application of Information-Gap Decision Theory to Risk-Constrained Self-Scheduling of GenCos

作者：Mohammadi Ivatloo Behnam^*; Zareipour Hamidreza; Amjady Nima; Ehsan Mehdi

来源：IEEE Transactions on Power Systems, 2013, 28(2): 1093-1102.

DOI：10.1109/TPWRS.2012.2212727

• Electricity markets
• information-gap decision theory (IGDT)
• price forecasts
• self-scheduling
• uncertainty

In a competitive electricity market, a generation company (GenCo) optimizes its operation schedules, referred to as self-scheduling, in order to maximize its profit. However, various sources of uncertainty, such as market price fluctuations or forced outage of generating units, may impact the GenCo%26apos;s profit. In this paper, a non-probabilistic information-gap model is proposed to model the uncertainties in short-term scheduling of a GenCo. The self-scheduling problem is formulated for risk-neutral, risk-averse, and risk-seeker GenCos. Robustness of the decisions against low market prices are evaluated using a robustness model. Furthermore, windfall higher profit due to unpredicted higher market prices is modeled using an opportunity function. The proposed models are applied to a 54-unit thermal GenCo.

• 出版日期2013-5