Multistage robust optimization for the day-ahead scheduling of hybrid thermal-hydro-wind-solar systems
The integration of large-scale uncertain and uncontrollable wind and solar power generation has brought new challenges to the operations of modern power systems. In a power system with abundant water resources, hydroelectric generation with high operational flexibility is a powerful tool to promote...
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| Published in | Journal of global optimization Vol. 88; no. 4; pp. 999 - 1034 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
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Springer US
01.04.2024
Springer Springer Nature B.V |
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| Abstract | The integration of large-scale uncertain and uncontrollable wind and solar power generation has brought new challenges to the operations of modern power systems. In a power system with abundant water resources, hydroelectric generation with high operational flexibility is a powerful tool to promote a higher penetration of wind and solar power generation. In this paper, we study the day-ahead scheduling of a thermal-hydro-wind-solar power system. The uncertainties of renewable energy generation, including uncertain natural water inflow and wind/solar power output, are taken into consideration. We explore how the operational flexibility of hydroelectric generation and the coordination of thermal-hydro power can be utilized to hedge against uncertain wind/solar power under a multistage robust optimization (MRO) framework. To address the computational issue, mixed decision rules are employed to reformulate the original MRO model with a multi-level structure into a bi-level one. Column-and-constraint generation (C &CG) algorithm is extended into the MRO case to solve the bi-level model. The proposed optimization approach is tested in three real-world cases. The computational results demonstrate the capability of hydroelectric generation to promote the accommodation of uncertain wind and solar power. |
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| AbstractList | The integration of large-scale uncertain and uncontrollable wind and solar power generation has brought new challenges to the operations of modern power systems. In a power system with abundant water resources, hydroelectric generation with high operational flexibility is a powerful tool to promote a higher penetration of wind and solar power generation. In this paper, we study the day-ahead scheduling of a thermal-hydro-wind-solar power system. The uncertainties of renewable energy generation, including uncertain natural water inflow and wind/solar power output, are taken into consideration. We explore how the operational flexibility of hydroelectric generation and the coordination of thermal-hydro power can be utilized to hedge against uncertain wind/solar power under a multistage robust optimization (MRO) framework. To address the computational issue, mixed decision rules are employed to reformulate the original MRO model with a multi-level structure into a bi-level one. Column-and-constraint generation (C &CG) algorithm is extended into the MRO case to solve the bi-level model. The proposed optimization approach is tested in three real-world cases. The computational results demonstrate the capability of hydroelectric generation to promote the accommodation of uncertain wind and solar power. |
| Audience | Academic |
| Author | Zhong, Zhiming Fan, Neng Wu, Lei |
| Author_xml | – sequence: 1 givenname: Zhiming surname: Zhong fullname: Zhong, Zhiming organization: Department of Systems and Industrial Engineering, University of Arizona – sequence: 2 givenname: Neng orcidid: 0000-0003-4333-3721 surname: Fan fullname: Fan, Neng email: nfan@arizona.edu organization: Department of Systems and Industrial Engineering, University of Arizona – sequence: 3 givenname: Lei surname: Wu fullname: Wu, Lei organization: Department of Electrical and Computer Engineering, Stevens Institute of Technology |
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