标题:Distributed optimal scheduling of virtual power plants with multi-micorgrid
作者:Wang, Luhao ;Ding, Guangqian ;Zhang, Yongfeng ;Wang, Zipeng ;Han, Kezhen ;Li, Guanguan
作者机构:[Wang, Luhao ;Ding, Guangqian ;Zhang, Yongfeng ;Wang, Zipeng ;Han, Kezhen ] School of Electrical Engineering, University of Jinan, Jinan; 250022, Chin 更多
会议名称:31st Chinese Control and Decision Conference, CCDC 2019
会议日期:3 June 2019 through 5 June 2019
来源:Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
出版年:2019
页码:4220-4224
DOI:10.1109/CCDC.2019.8832972
关键词:Analytical target cascading; Microgrid; Optimization; Scheduling; Virtual power plant
摘要:Microgirds (MGs) alleviate risks of uncertainties from renewable energy sources by integrating distributed energy sources near loads. However, the growing MGs with different stakeholders bring about the non-cooperative scheduling problem in virtual power plants (VPPs), due to the limited information sharing. Therefore, an analytical target cascading (ATC)-based distributed coordinated scheduling method is proposed which enables parallel optimization for multi-stakeholder. Also, Lagrangian multipliers are introduced into a price mechanism of energy transactions between multiple MGs and VPPs. Numerical results demonstrate that the proposed method has better convergence and scalability in comparison with the alternating direction method of multipliers (ADMM)-based scheduling approach. As a result, the validity and effectiveness of the proposed method are confirmed. © 2019 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073096190&doi=10.1109%2fCCDC.2019.8832972&partnerID=40&md5=7962707c9339a72312e76c4a9ec32061
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