The emerging concentrating solar power plant (CSPP) represents one of the promising technologies for promoting solar power applications. In this paper, risk-constrained day-ahead scheduling strategies for a virtual power plant (VPP) integrating a CSPP with some responsive residential and industrial loads are proposed considering the uncertainties from electricity price, thermal production of the solar field of the CSPP, and participation factor of residential demand response. The well-established information gap decision theory (IGDT) is utilized to hedge against the risk caused by these uncertainties. Based on IGDT, both a robust scheduling strategy for the risk-aversion decision maker and an opportunistic scheduling strategy for the opportunity-seeking decision maker are presented for hedging the profit risk of the VPP against variations of electricity price, thermal production, and demand response. Simulation results show that the presented IGDT-based method can act as an effective tool for managing risks from uncertainties, and also demonstrate that the RA VPP should focus more on the thermal production of the CSPP so as to guarantee the desired profit, whereas the OS VPP should pay more attention to the market price so as to achieve a windfall profit.

中文翻译：

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基于信息缺口理论的需求响应风险集中的太阳能发电厂日前调度

新兴的集中式太阳能发电厂（CSPP）代表了促进太阳能应用的有前途的技术之一。在本文中，考虑到电价，CSPP太阳能场的热量生产和不确定性等方面的不确定性，提出了将CSPP与一些响应性住宅和工业负荷相结合的虚拟电厂（VPP）的受风险约束的提前调度策略。居民需求响应的参与因子。完善的信息鸿沟决策理论（IGDT）用于对冲由这些不确定性引起的风险。基于IGDT，提出了针对风险规避决策者的稳健调度策略和针对机会寻求决策者的机会调度策略，以针对电价，热力生产和需求响应的变化对冲VPP的利润风险。仿真结果表明，所提出的基于IGDT的方法可以作为管理不确定性风险的有效工具，并且还表明RA VPP应该更多地关注CSPP的热生产，以保证期望的利润，而OS VPP应该更加关注市场价格，以获取暴利。