Optimal operation of multimicrogrids via cooperative energy and reserve scheduling

Microgrid (MG) represents one of the major drives of adopting Internet of Things for smart cities, as it effectively integrates various distributed energy resources. Indeed, MGs can be connected with each other and presented as a system of multimicrogrid (MMG). This paper proposes the optimal operat...

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Main Authors: Li, Yuanzheng, Zhao, Tianyang, Wang, Ping, Gooi, Hoay Beng, Wu, Lei, Liu, Yun, Ye, Jian
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/90253
http://hdl.handle.net/10220/48462
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-902532021-01-13T06:43:18Z Optimal operation of multimicrogrids via cooperative energy and reserve scheduling Li, Yuanzheng Zhao, Tianyang Wang, Ping Gooi, Hoay Beng Wu, Lei Liu, Yun Ye, Jian School of Computer Science and Engineering School of Electrical and Electronic Engineering Energy Research Institute @ NTU (ERI@N) DRNTU::Engineering::Computer science and engineering Energy And Reserve Cooperative Scheduling Model Microgrid (MG) represents one of the major drives of adopting Internet of Things for smart cities, as it effectively integrates various distributed energy resources. Indeed, MGs can be connected with each other and presented as a system of multimicrogrid (MMG). This paper proposes the optimal operation of MMGs by a cooperative energy and reserve scheduling model, in which energy and reserve can be cooperatively utilized among MMGs. In addition, values of Shapely are introduced to allocate economic benefits of the cooperative operation. Finally, a case study based on a system of MMGs is conducted, and simulation results verify the effectiveness of the proposed cooperative scheduling model. NRF (Natl Research Foundation, S’pore) Accepted version 2019-05-29T08:36:15Z 2019-12-06T17:44:05Z 2019-05-29T08:36:15Z 2019-12-06T17:44:05Z 2018 Journal Article Li, Y., Zhao, T., Wang, P., Gooi, H. B., Wu, L., Liu, Y., & Ye, J. (2018). Optimal operation of multimicrogrids via cooperative energy and reserve scheduling. IEEE Transactions on Industrial Informatics, 14(8), 3459-3468. doi:10.1109/TII.2018.2792441 1551-3203 https://hdl.handle.net/10356/90253 http://hdl.handle.net/10220/48462 10.1109/TII.2018.2792441 en IEEE Transactions on Industrial Informatics © 2018 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. The published version is available at: https://doi.org/10.1109/TII.2018.2792441 10 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
Energy And Reserve
Cooperative Scheduling Model
spellingShingle DRNTU::Engineering::Computer science and engineering
Energy And Reserve
Cooperative Scheduling Model
Li, Yuanzheng
Zhao, Tianyang
Wang, Ping
Gooi, Hoay Beng
Wu, Lei
Liu, Yun
Ye, Jian
Optimal operation of multimicrogrids via cooperative energy and reserve scheduling
description Microgrid (MG) represents one of the major drives of adopting Internet of Things for smart cities, as it effectively integrates various distributed energy resources. Indeed, MGs can be connected with each other and presented as a system of multimicrogrid (MMG). This paper proposes the optimal operation of MMGs by a cooperative energy and reserve scheduling model, in which energy and reserve can be cooperatively utilized among MMGs. In addition, values of Shapely are introduced to allocate economic benefits of the cooperative operation. Finally, a case study based on a system of MMGs is conducted, and simulation results verify the effectiveness of the proposed cooperative scheduling model.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Li, Yuanzheng
Zhao, Tianyang
Wang, Ping
Gooi, Hoay Beng
Wu, Lei
Liu, Yun
Ye, Jian
format Article
author Li, Yuanzheng
Zhao, Tianyang
Wang, Ping
Gooi, Hoay Beng
Wu, Lei
Liu, Yun
Ye, Jian
author_sort Li, Yuanzheng
title Optimal operation of multimicrogrids via cooperative energy and reserve scheduling
title_short Optimal operation of multimicrogrids via cooperative energy and reserve scheduling
title_full Optimal operation of multimicrogrids via cooperative energy and reserve scheduling
title_fullStr Optimal operation of multimicrogrids via cooperative energy and reserve scheduling
title_full_unstemmed Optimal operation of multimicrogrids via cooperative energy and reserve scheduling
title_sort optimal operation of multimicrogrids via cooperative energy and reserve scheduling
publishDate 2019
url https://hdl.handle.net/10356/90253
http://hdl.handle.net/10220/48462
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