VPeak: Exploiting Volunteer Energy Resources for Flexible Peak Shaving.
VPeak: Exploiting Volunteer Energy Resources for Flexible Peak Shaving.
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VPeak：利用志愿者能源资源进行灵活调峰。
DOI：
10.1145/3486611.3486667
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Shenoy, P.
中科院分区：
文献类型：
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作者：
Bovornkeeratiroj, P.;Wamburu, J.;Irwin, D.;Shenoy, P.
传统上，公用事业公司对大负荷采用需求响应或部署集中式储能，以减轻峰值需求对电网的影响。物联网（IoT）的出现和联网能源设备的激增为大规模协调控制较小的住宅负荷以实现类似的效益开辟了新的机会。在本文中，我们提出了VPeak，一种方法，使用住宅负荷自愿由他们的业主协调控制的公用事业电网优化。由于志愿者资源的使用带有远程公用事业使用频率的硬性限制，因此我们提出了机器学习技术，用于根据预期的峰值需求仔细选择哪些天操作这些负载。VPeak使用一个分布式的异构志愿负载池来实现灵活的调峰，可以选择性地针对配电网络中的热点或执行电网范围的调峰。我们的研究结果表明，VPeak在局部热点选择性调峰时能够削减高达26%的总需求，而在电网范围内的调峰需求则高达46.7%。
Traditionally, utility companies have employed demand response for large loads or deployed centralized energy storage to alleviate the effects of peak demand on the grid. The advent of Internet of Things (IoT) and the proliferation of networked energy devices have opened up new opportunities for coordinated control of smaller residential loads at large scales to achieve similar benefits. In this paper, we present VPeak, an approach that uses residential loads volunteered by their owners for coordinated control by a utility for grid optimizations. Since the use of volunteer resources comes with hard limits on how frequently they can be used by a remote utility, we present machine learning techniques for carefully selecting which days to operate these loads based on expected peak demand. VPeak uses a distributed and heterogeneous pool of volunteer loads to implement flexible peak shaving that can either selectively target hotspots within the distribution network or perform grid-wide peak shaving. Our results show that VPeak is able to shave up to 26% of the total demand when selectively shaving peaks at local hotspots and up to 46.7% of the demand for grid-wide peak shaving.