This article addresses a new approach to investigating the impact of demand response (DR) on the generation adequacy by considering customers’ willingness to participate in DR. Firstly, to characterize psychological behaviors of the customer, we design a general reference-dependent utility (RU) function, and select the hyperbolic absolute risk aversion (HARA) function as the fundamental function to develop an HARA-RU (H-RU) function for depicting risk attitude of the customer. Secondly, a Q-learning algorithm based on the H-RU function is proposed to simulate customers’ willingness to participate in DR. In this way, the available capacity of DR can be measured. Thirdly, based on the available capacity, a DR scheduling model is developed. And fourthly, according to the scheduling results, an assessment procedure is proposed to evaluate the impact of DR on generation adequacy. Finally, a case study is provided to verify the effectiveness of our method. Besides, one limitation of this study is that transmission congestions are not considered. In future research, it would be interesting to consider this factor and extend our method to the case of a more sophisticated situation.

中文翻译：

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客户需求响应行为对可再生能源电力系统的影响

本文提出了一种新方法，通过考虑客户参与DR的意愿来调查需求响应（DR）对发电充足性的影响。首先，为了表征客户的心理行为，我们设计了一个通用的参考依赖效用（RU）函数，并选择双曲线绝对风险规避（HARA）函数作为开发HARA-RU（H-RU）函数的基本函数用于描述客户的风险态度。其次，提出了一种基于H-RU功能的Q学习算法，以模拟客户参与DR的意愿。这样，可以测量DR的可用容量。第三，基于可用容量，开发了DR调度模型。第四，根据调度结果，提出了一种评估程序，以评估灾难恢复对发电充足性的影响。最后，提供了一个案例研究来验证我们方法的有效性。此外，这项研究的局限性是没有考虑传播拥塞。在以后的研究中，考虑这个因素并将我们的方法扩展到更复杂的情况下将很有趣。