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A Minimal Incentive-Based Demand Response Program With Self Reported Baseline Mechanism

机译：具有自我报告基线机制的基于最小激励的需求响应计划

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摘要

In this paper, we propose a novel incentive based Demand Response (DR) program with a self reported baseline mechanism. The System Operator (SO) managing the DR program recruits consumers or aggregators of DR resources. The recruited consumers are required to only report their baseline, which is the minimal information necessary for any DR program. During a DR event, a set of consumers, from this pool of recruited consumers, are randomly selected. The consumers are selected such that the required load reduction is delivered. The selected consumers, who reduce their load, are rewarded for their services and other recruited consumers, who deviate from their reported baseline, are penalized. The randomization in selection and penalty ensure that the baseline inflation is controlled. We also justify that the selection probability can be simultaneously used to control SO's cost. This allows the SO to design the mechanism such that its cost is almost optimal when there are no recruitment costs or at least significantly reduced otherwise. Finally, we also show that the proposed method of self-reported baseline outperforms other baseline estimation methods commonly used in practice.
机译：在本文中，我们提出了一种新的基于激励的需求响应（DR）计划，自报告的基线机制。系统运算符（SO）管理DR程序招募DR资源的消费者或聚合器。招募的消费者必须只报告其基线，这是任何DR计划所需的最小信息。在DR事件中，一系列消费者从这个招募的消费者池中被随机选择。选择消费者，使得所需的负载减少是交付的。减少负担的选定的消费者为他们的服务和其他招聘的消费者奖励，他们偏离了他们报告的基线，受到惩罚。选择和惩罚中的随机化确保控制基线通货膨胀。我们还证明了选择概率可以同时用于控制这项成本。这允许该机制设计，使得当没有征聘成本或至少否则至少显着减少时，其成本几乎是最佳的。最后，我们还表明，自我报告的基线的提出方法优于常用于实践中的其他基线估计方法。

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