Robust Microgrid Scheduling With Resiliency Considerations
| Autor: | Yichen Zhang, Thomas B. Ollis, Kevin Tomsovic, Guodong Liu, Tao Jiang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
General Computer Science
business.industry Computer science 020209 energy 020208 electrical & electronic engineering General Engineering Robust optimization robust optimization resiliency 02 engineering and technology Grid Reliability engineering Scheduling (computing) unintentional islanding Distributed generation microgrid scheduling 0202 electrical engineering electronic engineering information engineering Islanding General Materials Science Microgrid lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 Operating cost |
| Zdroj: | IEEE Access, Vol 8, Pp 153169-153182 (2020) |
| ISSN: | 2169-3536 |
| Popis: | A new microgrid scheduling model with resiliency guaranteed under the risk of both utility failure and prevailing uncertainties of renewable generation and load is proposed in this article. The proposed model minimizes the overall operating cost of the microgrid by efficiently coordinating the power supply from local distributed energy resources and the main grid. The resiliency is ensured by maintaining certain amount of flexibility in local distributed energy resources, which can be quickly deployed to keep the power supply uninterrupted whenever the utility grid suddenly goes down. In addition, the uncertainties of renewable generation and load are captured with the proposed two-stage robust optimization model. By solving the proposed optimization, the solution not only guarantees the resiliency of the microgrid by supporting possible islanding incidents without load interruption, but also ensures robustness against the randomness of renewable generation and load. Results of case studies on a typical microgrid demonstrate the effectiveness of the presented robust microgrid scheduling model. |
| Databáze: | OpenAIRE |
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