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Novel Incentive Mechanism for End-Users Enrolled in DLC-Based Demand Response Programs Within Stochastic Planning Context

机译:随机计划环境下针对基于DLC的需求响应程序中注册的最终用户的新型激励机制

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摘要

In this paper, a novel direct load control (DLC) planning based on providing free energy credits to residential end-users for their heating, ventilation, and air conditioning load during demand response (DR) events is proposed. The obtained credit can then be used by the end-users during relatively higher price periods free-of-cost to enable them lowering their energy procurement costs. Furthermore, the resulting reduction in the total household energy consumption considerably decreases the critical load demands in power systems, which is of vital importance for load-serving entities in maintaining the balance between supply and demand during peak load periods. In this regard, the aforementioned energy credits-based incentive mechanism is proposed for end-users enrolled in the DLC-based DR program, as a new contribution to the existing literature, testing it in a stochastic day-ahead planning context.
机译:在本文中,提出了一种新颖的直接负荷控制(DLC)规划,该计划基于在需求响应(DR)事件期间向住宅最终用户提供免费的能源信用,用于他们的供暖,通风和空调负荷。然后,最终用户可以在相对较高的价格期间免费使用获得的信用额度,以使他们能够降低其能源采购成本。此外,最终减少的家庭总能耗大大降低了电力系统中的关键负荷需求,这对于负荷服务实体在高峰负荷期间维持供需之间的平衡至关重要。在这方面,为基于DLC的灾难恢复计划的最终用户提出了上述基于能源信用的激励机制,作为对现有文献的新贡献,在随机的日前计划环境中对其进行了测试。

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