现代电力2024，Vol.41Issue(3)：479-489,11.DOI:10.19725/j.cnki.1007-2322.2022.0332
空调温控负荷集群参与光伏消纳的潜力评估与互动框架
Potential Assessment and Interaction Framework of Air Conditioning Thermostatically Controlled Load Cluster Participating in Photovoltaic Consumption
摘要
Abstract
As one of the most potential demand side response resources,air conditioning thermostatically controlled load(TCL)cluster will play an important role in peak shifting,dis-tributed photovoltaic consumption and power grid regulation.An adjustable potential assessment and interaction framework of air conditioning thermostatically controlled load cluster par-ticipating in photovoltaic consumption based on data-driven and deep belief nets(DBNs)is proposed in the power market environment.Firstly,a data-driven adjustable potential assess-ment model based on deep belief nets is constructed to output the adjustable potential of thermostatically controlled load cluster in real time.Secondly,within the certain range of power adjustment,a demand interaction framework based on deep be-lief nets(DBNs)is also constructed to regulate the real-time temperature setting of thermostatically controlled load cluster.Finally,taking a 10kV feeder in Northern Hebei as an example,the results show that the proposed framework can make full use of the adjustable potential of the air conditioning thermostatic-ally controlled load cluster,participate in the consumption of distributed photovoltaic,and have high engineering application value.关键词
空调温控负荷集群/数据驱动/深度置信网络/潜力评估/需求互动Key words
air conditioning thermostatically controlled load cluster/data driven/deep belief nets(DBNs)/potential as-sessment/demand interaction分类
信息技术与安全科学引用本文复制引用
陈璨,杜维柱,白恺,孙贝贝,孙靓,付新园,吴俊勇..空调温控负荷集群参与光伏消纳的潜力评估与互动框架[J].现代电力,2024,41(3):479-489,11.基金项目
国家电网公司新型电力系统科技攻关行动计划重大专项项目(5100-202114296A-0-0-00).Project Supported by Major Special Projects of the State Grid Corporation's New-type Power System Science and Technology Action Plan(5100-202114296A-0-0-00). （5100-202114296A-0-0-00）
