Distributed Demand Response Management for a Virtually Connected Community With Solar Power
Distributed Demand Response Management for a Virtually Connected Community With Solar Power
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DOI：
10.1109/access.2022.3141772
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发表时间：
2022
期刊：
影响因子：
3.9
通讯作者：
Chirath Pathiravasam;G. Venayagamoorthy
中科院分区：
文献类型：
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作者：
Chirath Pathiravasam;G. Venayagamoorthy
随着太阳能的大量扩散，可靠的电力系统操作需要削减和更高的容量储备。但是，系统操作员可以利用需求灵活性，以维持可靠性。温度控制载荷（TCL）由于其操作频率，功率等级和所需操作区域的公差而具有较高的需求响应灵活性。在这项研究中，使用温度测量和消费者的偏好提出了TCL需求灵活性定量，并且使用TCL需求灵活性和太阳能发电的预测用于提高需求响应（DR）可靠性。该公用事业公司可以利用预测来发出考虑资源充足和运营成本的DR请求。消费者被形成是一个几乎连接的社区，聚合者促进了在提供情境智能和在消费者之间分发DR请求的效用。根据需求灵活性提出了分布式DR管理框架，以简化优化和（b）提高最佳性。典型的结果表明，与单个恒温器控制相比，在降低高峰期间的功耗减少和紧急DR请求和功耗较低。定义了两个用于衡量DR可靠性和消费者舒适性的指数，并为不同的DR请求提供了结果。
With the high proliferation of solar power, curtailments and higher capacity reserves are required for a reliable power system operation. However, system operators can tap into demand flexibility to maintain reliability affordably. Temperature-controlled loads (TCL) have higher flexibility in demand response due to their frequency of operation, power rating, and tolerance in the desired operating region. In this study, a TCL demand flexibility quantification is presented using temperature measurements and consumer preferences, and predictions of TCL demand flexibility and solar power generation are used to improve demand response (DR) reliability. The utility can leverage predictions to issue DR requests considering resource adequacy and operational costs. Consumers are formed as a virtually connected community, and an aggregator facilitates the utility in providing situational intelligence and distributing DR requests among consumers. A distributed DR management framework is proposed based on demand flexibility to (a) simplify the optimization and (b) improve optimality. Typical results show power consumption reduction during peak reduction and emergency DR requests and power consumption with low variability during capacity firming requests compared to individual thermostat controls. Two indices to measure DR reliability and consumer comfort are defined, and results are presented for different DR requests.