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- Publisher Website: 10.1109/ISGT.2015.7131871
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Conference Paper: Robust generation dispatch with wind power considering air pollutant dispersion
Title | Robust generation dispatch with wind power considering air pollutant dispersion |
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Authors | |
Keywords | Air pollutant dispersion Benders decomposition Generation dispatch Robust optimization Wind uncertainty |
Issue Date | 2015 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1003148 |
Citation | The 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT 2015), Washington, DC., 18-20 February 2015. In Conference Proceedings, 2015, p. 1-5 How to Cite? |
Abstract | With increasing concerns on environmental issues, vast renewable energy is integrated into power systems worldwide, especially wind power. However, its essential uncertainty introduces great challenges into power system operation. Additionally, the emission-constrained generation dispatch problem need to be further studied in the background of restructured power systems, as just the total emission is considered traditionally. In this paper, the emission-constrained generation dispatch problem of systems including wind power is studied. Emission constraints are modeled as detailed air pollutants concentration limits in geographical positions of loads. The uncertainty of wind speed and the corresponding uncertain wind power are considered. Robust optimization is applied to cope with the uncertain information to generate dispatch plans acceptable under all possible scenarios. An algorithm based on Benders decomposition is developed to solve the proposed model. The modified IEEE 14-bus system is employed to demonstrate the effectiveness of the proposed model and algorithm. © 2015 IEEE. |
Description | Open Access |
Persistent Identifier | http://hdl.handle.net/10722/218946 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Lei, S | - |
dc.contributor.author | Hou, Y | - |
dc.contributor.author | Wang, X | - |
dc.contributor.author | Liu, K | - |
dc.date.accessioned | 2015-09-18T07:01:51Z | - |
dc.date.available | 2015-09-18T07:01:51Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT 2015), Washington, DC., 18-20 February 2015. In Conference Proceedings, 2015, p. 1-5 | - |
dc.identifier.isbn | 978-1-4799-1785-3 | - |
dc.identifier.uri | http://hdl.handle.net/10722/218946 | - |
dc.description | Open Access | - |
dc.description.abstract | With increasing concerns on environmental issues, vast renewable energy is integrated into power systems worldwide, especially wind power. However, its essential uncertainty introduces great challenges into power system operation. Additionally, the emission-constrained generation dispatch problem need to be further studied in the background of restructured power systems, as just the total emission is considered traditionally. In this paper, the emission-constrained generation dispatch problem of systems including wind power is studied. Emission constraints are modeled as detailed air pollutants concentration limits in geographical positions of loads. The uncertainty of wind speed and the corresponding uncertain wind power are considered. Robust optimization is applied to cope with the uncertain information to generate dispatch plans acceptable under all possible scenarios. An algorithm based on Benders decomposition is developed to solve the proposed model. The modified IEEE 14-bus system is employed to demonstrate the effectiveness of the proposed model and algorithm. © 2015 IEEE. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1003148 | - |
dc.relation.ispartof | Innovative Smart Grid Technologies (ISGT) | - |
dc.rights | Innovative Smart Grid Technologies (ISGT). Copyright © IEEE. | - |
dc.rights | ©2015 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.subject | Air pollutant dispersion | - |
dc.subject | Benders decomposition | - |
dc.subject | Generation dispatch | - |
dc.subject | Robust optimization | - |
dc.subject | Wind uncertainty | - |
dc.title | Robust generation dispatch with wind power considering air pollutant dispersion | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Hou, Y: yhhou@hku.hk | - |
dc.identifier.email | Wang, X: wx315@hku.hk | - |
dc.identifier.authority | Hou, Y=rp00069 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1109/ISGT.2015.7131871 | - |
dc.identifier.scopus | eid_2-s2.0-84939149305 | - |
dc.identifier.hkuros | 250774 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 5 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 151105 | - |