Optimization of Load Distribution Method for Hydropower Units Based on Output Fluctuation Constraint and Double-Layer Nested Model

Hong Pan, Zhengliang Luo, Chenyang Hang (), Yuan Zheng, Fang Feng and Xiaonan Zheng
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Hong Pan: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Zhengliang Luo: Ming Yang Smart Energy Group Limited, Zhongshan 528436, China
Chenyang Hang: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Yuan Zheng: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Fang Feng: Shanghai Aircraft Design and Research Institute, Shanghai 200135, China
Xiaonan Zheng: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China

Mathematics, 2024, vol. 12, issue 5, 1-17

Abstract: During the load distribution of hydropower units, the frequent crossing of vibration zones as well as large output fluctuations affect the stability of the power station. A multi-objective double-layer intelligent nesting model that considers the constraint of the output fluctuation of units is proposed to address these problems. The nonlinear constraint unit commitment optimization model layer is built based on outer dynamic programming, and the load distribution optimization model layer is constructed based on the improved biogeography-based optimization algorithm. Simultaneously, the unit output fluctuation constraint is established based on whether the unit combination changes in order to limit the unit output fluctuation. The results of this model indicate that compared with traditional load allocation models, the application of the method proposed in this paper can reduce the fluctuation range of unit output by 85.01%. In addition, except for the inevitable vibration zone crossings during startup and shutdown processes, the unit does not cross the vibration zone during operation, which greatly improves the unit’s vibration isolation and optimization capabilities. The multi-objective double-layer intelligent nested model proposed in this paper has significant advantages in the field of load allocation for hydropower units. It effectively improves the stability and reliability of unit operation, and this method can be applied to practical load allocation processes. It is of great significance for the research on load allocation optimization of hydropower units.

Keywords: unit output fluctuation; double-layer nested model; improved biogeography-based optimization algorithm; load distribution optimization; hydropower unit; crossing vibration zone (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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