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Conference Paper: An Adaptive Distributed Power Scheduling Algorithm for Renewable Microgrid Cooperation

TitleAn Adaptive Distributed Power Scheduling Algorithm for Renewable Microgrid Cooperation
Authors
Issue Date2017
PublisherIEEE. The Proceedings' web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7985734
Citation
2017 IEEE International Conference on Communications (ICC), Paris, France, 21-25 May 2017 How to Cite?
AbstractMicrogrids (MGs) bring considerable advantages in improving reliability, reducing cost, and integrating renewable energy to the future electricity system. However, proper coordination among MGs with renewable resources is necessary for improving the penetration of renewables. In this paper, we propose an adaptive distributed energy scheduling scheme, known as DOPS, for MG cooperation in order to reduce the time-averaged operation cost and improve the utilization of renewable energy (RE) resources. In order to fully utilize the generated RE, a time-averaged RE utilization constraint is proposed and virtual queue technology is utilized to deal with the constraint. Because it is impossible to get the precise information of the future RE generation and load, we make use of Lyapunov optimisation to design the online algorithm for DOPS. Besides, we prove that DOPS can achieve a near-to-optimal performance in terms of the system cost. Furthermore, a trade-off between operation cost and battery size is derived. In the end, our simulation results show that DOPS can help reduce the operation cost and improve the utilization of RE dramatically.
Persistent Identifierhttp://hdl.handle.net/10722/243316
ISSN

 

DC FieldValueLanguage
dc.contributor.authorZhu, X-
dc.contributor.authorLeung, KC-
dc.date.accessioned2017-08-25T02:53:12Z-
dc.date.available2017-08-25T02:53:12Z-
dc.date.issued2017-
dc.identifier.citation2017 IEEE International Conference on Communications (ICC), Paris, France, 21-25 May 2017-
dc.identifier.issn1550-3607-
dc.identifier.urihttp://hdl.handle.net/10722/243316-
dc.description.abstractMicrogrids (MGs) bring considerable advantages in improving reliability, reducing cost, and integrating renewable energy to the future electricity system. However, proper coordination among MGs with renewable resources is necessary for improving the penetration of renewables. In this paper, we propose an adaptive distributed energy scheduling scheme, known as DOPS, for MG cooperation in order to reduce the time-averaged operation cost and improve the utilization of renewable energy (RE) resources. In order to fully utilize the generated RE, a time-averaged RE utilization constraint is proposed and virtual queue technology is utilized to deal with the constraint. Because it is impossible to get the precise information of the future RE generation and load, we make use of Lyapunov optimisation to design the online algorithm for DOPS. Besides, we prove that DOPS can achieve a near-to-optimal performance in terms of the system cost. Furthermore, a trade-off between operation cost and battery size is derived. In the end, our simulation results show that DOPS can help reduce the operation cost and improve the utilization of RE dramatically.-
dc.languageeng-
dc.publisherIEEE. The Proceedings' web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7985734-
dc.relation.ispartofIEEE International Conference on Communications-
dc.rightsIEEE International Conference on Communications. Copyright © IEEE.-
dc.rights©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleAn Adaptive Distributed Power Scheduling Algorithm for Renewable Microgrid Cooperation-
dc.typeConference_Paper-
dc.identifier.emailLeung, KC: kcleung@eee.hku.hk-
dc.identifier.authorityLeung, KC=rp00147-
dc.identifier.doi10.1109/ICC.2017.7996940-
dc.identifier.hkuros274683-
dc.publisher.placeUnited States-

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