引用本文:
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 579次   下载 489  
物联网环境下考虑多个利益主体的区域配电系统能量管理
岳菁鹏1,2, 胡志坚2, 陈纬楠2
1.广东电网有限责任公司电力科学研究院,广东 广州 510080;2.武汉大学 电气与自动化学院,湖北 武汉 430000
摘要:
随着物联网设备和分布式资源在配电网中的不断渗透,区域配电网的能量管理问题面临新的挑战,为此提出云-雾分层能量管理架构,并利用智能算法实现含多个利益主体的配电系统的能量管理和优化决策。所提方法在雾层计算中借助机器学习完成对智能电表、各种物联网设备产生的数据进行计算和处理,在云端计算中通过云-雾间的数据交互及外部信息的收集,利用智能优化算法对配电网制定的决策目标进行整体优化计算,以达到智能决策的目的。通过建立配电网内普通用户、微电网、配电网运营商3个利益主体的效用和收益模型,在雾层捕捉用户用电行为和对新能源出力数据进行回归预测,根据用户用电负荷对电价的反应,在云端以社会福利最大为目标,对配电网的总购电负荷及零售电价进行优化决策,实现整个配电网的优化管理。通过IEEE 33节点系统算例对所提方法进行仿真,结果验证了所提方法的有效性。
关键词:  物联网  多利益主体  微电网  区域配电网  能量管理
DOI:10.16081/j.epae.202008002
分类号:TM73;TK01
基金项目:国家自然科学基金资助项目(51977156)
Energy management of regional distribution system considering multiple stakeholders under IoT environment
YUE Jingpeng1,2, HU Zhijian2, CHEN Weinan2
1.Electric Power Research Institute of Guangdong Power Grid Co.,Ltd.,Guangzhou 510080, China;2.School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
Abstract:
With the continuous penetration of IoT(Internet of Things) devices and distributed resources in the distribution network, the energy management of regional distribution network is facing new challenges. Therefore, a cloud-fog layered hierarchical energy management architecture is proposed, and the intelligent algorithm is used to realize the energy management and optimal decision-making of distribution system with multiple stakeholders. In the fog layer calculation, the data generated by smart meters and various IoT devices are calculated and processed with the help of machine learning. In the cloud layer calculation, the data interaction between cloud and fog and the collection of external information are used to carry out the overall optimization calculation of decision-making objective of distribution network by using intelligent optimization algorithm, so as to achieve the purpose of intelligent decision-making. The utility and income models of three stakeholders of common users, microgrid and distribution system operator are established. In the fog layer, the regression prediction of users’ electricity consumption behavior and new energy output data is realized. According to the users’ response to electricity price, the optimization decision of total purchasing load and retail price is made for distribution network in the cloud layer with the goal of maximizing social welfare, to realize the optimal management of the whole distribution network. The proposed method is simulated by the example of IEEE 33-bus system and the results verify the effectiveness of the proposed method.
Key words:  IoT  multiple stakeholders  microgrid  regional distribution network  energy management

用微信扫一扫

用微信扫一扫
性欧美videofree高清/欲望保姆/日本大片免a费观看视频/亚洲亚洲色爽免费视频