Toward Optimal Energy Management of Microgrids via Robust Two-Stage Optimization
This paper considers energy management in a grid-connected microgrid which has multiple conventional generators (CGs), renewable generators and energy storage systems (ESSs). A robust two-stage optimization approach is presented to schedule the energy generation under uncertainties, aimed at minimiz...
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| Published in | IEEE transactions on smart grid Vol. 9; no. 2; pp. 1161 - 1174 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.03.2018
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1949-3053 1949-3061 |
| DOI | 10.1109/TSG.2016.2580575 |
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| Abstract | This paper considers energy management in a grid-connected microgrid which has multiple conventional generators (CGs), renewable generators and energy storage systems (ESSs). A robust two-stage optimization approach is presented to schedule the energy generation under uncertainties, aimed at minimizing the long-term average operating cost subject to realistic operational and service constraints. The first stage of optimization determines hourly unit commitment of the CGs via a day-ahead scheduling, and the second stage performs economic dispatch of the CGs, ESSs, and energy trading via a real-time scheduling. The combined solution meets the need of handling large uncertainties in the load demands and renewable generation, and provides an efficient solution under limited computational resource which approximately optimizes the long-term average operating cost while meeting the quality-of-service requirements. The performance of the proposed strategy is evaluated by simulations based on real load demand and renewable generation data. |
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| AbstractList | This paper considers energy management in a grid-connected microgrid which has multiple conventional generators (CGs), renewable generators and energy storage systems (ESSs). A robust two-stage optimization approach is presented to schedule the energy generation under uncertainties, aimed at minimizing the long-term average operating cost subject to realistic operational and service constraints. The first stage of optimization determines hourly unit commitment of the CGs via a day-ahead scheduling, and the second stage performs economic dispatch of the CGs, ESSs, and energy trading via a real-time scheduling. The combined solution meets the need of handling large uncertainties in the load demands and renewable generation, and provides an efficient solution under limited computational resource which approximately optimizes the long-term average operating cost while meeting the quality-of-service requirements. The performance of the proposed strategy is evaluated by simulations based on real load demand and renewable generation data. |
| Author | Wang, Ping Gooi, Hoay Beng Hu, Wuhua |
| Author_xml | – sequence: 1 givenname: Wuhua surname: Hu fullname: Hu, Wuhua email: hwh@ntu.edu.sg organization: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore – sequence: 2 givenname: Ping orcidid: 0000-0002-1599-5480 surname: Wang fullname: Wang, Ping email: wangping@ntu.edu.sg organization: School of Computer Science and Engineering, Nanyang Technological University, Singapore – sequence: 3 givenname: Hoay Beng orcidid: 0000-0002-5983-2181 surname: Gooi fullname: Gooi, Hoay Beng email: ehbgooi@ntu.edu.sg organization: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore |
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| SubjectTerms | Cost function economic dispatch Economics Load modeling Lyapunov optimization Microgrid Microgrids Quality of service Uncertainty unit commitment |
| Title | Toward Optimal Energy Management of Microgrids via Robust Two-Stage Optimization |
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