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An energy credit based incentive mechanism for the direct load control of residential HVAC systems incorporation in day-ahead planning

机译:基于能源信用的激励机制,用于将住宅HVAC系统的直接负荷控制纳入提前计划中

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摘要

The increasing operational complexity of power systems considering the higher renewable energy penetration and changing load characteristics, together with the recent developments in the ICT field have led to more research and implementation efforts related to the activation of the demand side. In this manner, different direct load control (DLC) and indirect load control concepts have been developed and DLC strategies are considered as an effective tool for load serving entities (LSEs) with several real-world application examples. In this study, a new DLC strategy tailored for residential air-conditioners (ACs) participating in the day-ahead planning, based on offering energy credits to the enrolled end-users is proposed. The mentioned energy credits are then used by residential end-users to lower their energy procurement costs during peak-price periods. The strategy is formulated as a stochastic mixed-integer linear programming (MILP) model considering uncertainties related to weather conditions. The outcomes regarding the end-user comfort level and economic benefits are also analyzed.
机译:考虑到更高的可再生能源渗透率和不断变化的负荷特性,电力系统的操作复杂性不断提高,再加上ICT领域的最新发展,导致与激活需求方相关的更多研究和实施工作。以这种方式,已经开发了不同的直接负载控制(DLC)和间接负载控制概念,并且具有多个实际应用示例的DLC策略被认为是用于负载服务实体(LSE)的有效工具。在这项研究中,提出了一种新的DLC策略,该策略针对参与日后计划的住宅空调(AC),该策略基于向已注册的最终用户提供能源信用的基础上。然后,所提到的能源抵免额将由住宅最终用户用来在高峰期降低其能源采购成本。考虑与天气状况相关的不确定性,该策略被公式化为随机混合整数线性规划(MILP)模型。还分析了有关最终用户舒适度水平和经济效益的结果。

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