Characterizing flexibility of an aggregation of deferrable loads
Characterizing flexibility of an aggregation of deferrable loads
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表征可延迟负载聚合的灵活性
DOI：
10.1109/cdc.2014.7040020
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Wei Chen
中科院分区：
文献类型：
--
作者：
H. Hao;Wei Chen
分布式可推迟负载的灵活性提供了提供快速增长资源的巨大潜力，这些资源是极大地整合可再生能源所必需的。在本文中，我们研究了一组可推迟负荷的聚集、表征和调度，以便于将可再生能源发电整合到电力系统中。如果存在可以分配功率以满足所有可推迟负荷的能量需求而没有盈余或赤字的调度策略，则发电配置文件称为完全充足。我们提供了关于所分配的生成简档充分性的充分和/或必要的特征。此外，我们还提出了一种新的调度算法来服务于可延迟负载。采用最早截止期优先(EDF)和最小松弛优先(LLF)等启发式算法进行了数值实验，并与所提出的算法进行了比较。大量的仿真实验表明，我们的调度策略一般可以满足所有负荷的能量需求，而不存在盈余或赤字，而EDF和LLF调度策略在大多数情况下不能满足这一目标。
Flexibility from distributed deferrable loads presents an enormous potential to provide fast ramping resources that are necessary to vastly integrate renewable energy resources. In this paper, we study aggregation, characterization, and scheduling of a collection of deferrable loads to facilitate integrating renewable generation into the power system. A generation profile is called exactly adequate if there exists a scheduling policy that could allocate the power to satisfy the energy requirements of all deferrable loads without surplus or deficit. We provide sufficient and/or necessary characterizations on the adequacy of allocated generation profiles. Moreover, we propose a novel scheduling algorithm to service deferrable loads. Heuristic algorithms such as Earliest Deadline First (EDF) and Least Laxity First (LLF) policies are used in numerical experiments to compare with the proposed algorithm. Extensive simulations show that our scheduling policy generally can fulfill the energy requirements of all loads without surplus or deficit for exactly adequate generation profiles, while the EDF and LLF policies cannot meet this objective in most cases.