论文标题
分析和评估需求响应计划中的基线操作
Analysis and Evaluation of Baseline Manipulation in Demand Response Programs
论文作者
论文摘要
客户基线必须为基准需求响应（DR）计划中的参与者分配回扣。由于其简单性和可靠性，平均基线方法在实践中被广泛接受。但是，在文献中，客户的基线操作鲜为人知。我们从客户的角度开始，并建立马尔可夫决策过程，以对客户的回报最大化问题进行建模。揭示了理性客户在DR DAYS上的不足和在非DR日期过度消费的行为。此外，我们提出了一种近似的基线方法，并显示消耗分布和程序参数如何影响结果。由于维度的诅咒，引入了基于线性策略的推出算法以获得实用的近似解决方案。最后，进行了一个案例研究以说明基线操作，其中仿真结果证实了所提出的方法的有效性，并阐明了如何正确设计基线方法。
The customer baseline is required to assign rebates to participants in baseline-based demand response (DR) programs. The average baseline method has been widely accepted in practice due to its simplicity and reliability. However, the customer's baseline manipulation is little-known in the literature. We start from a customer's perspective and establish a Markov decision process to model the customer's payoff-maximizing problem. The behavior of a rational customer's underconsumption on DR days and overconsumption on non-DR days are revealed. Furthermore, we propose an approximated baseline method and show how the consumption distribution and program parameters affect the results. Due to the curse of dimensionality, a linear policy-based rollout algorithm is introduced to obtain a practical approximate solution. Finally, a case study is carried out to illustrate the baseline manipulation, where the simulation results confirm the effectiveness of the proposed methods and shed light on how to properly design baseline methods.
