Multi-Objective Optimization of Start-up Strategy for Pumped Storage Units
AbstractThis paper proposes a multi-objective optimization method for the start-up strategy of pumped storage units (PSU) for the first time. In the multi-objective optimization method, the speed rise time and the overshoot during the process of the start-up are taken as the objectives. A precise simulation platform is built for simulating the transient process of start-up, and for calculating the objectives based on the process. The Multi-objective Particle Swarm Optimization algorithm (MOPSO) is adopted to optimize the widely applied start-up strategies based on one-stage direct guide vane control (DGVC), and two-stage DGVC. Based on the Pareto Front obtained, a multi-objective decision-making method based on the relative objective proximity is used to sort the solutions in the Pareto Front. Start-up strategy optimization for a PSU of a pumped storage power station in Jiangxi Province in China is conducted in experiments. The results show that: (1) compared with the single objective optimization, the proposed multi-objective optimization of start-up strategy not only greatly shortens the speed rise time and the speed overshoot, but also makes the speed curve quickly stabilize; (2) multi-objective optimization of strategy based on two-stage DGVC achieves better solution for a quick and smooth start-up of PSU than that of the strategy based on one-stage DGVC. View Full-Text
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Hou, J.; Li, C.; Tian, Z.; Xu, Y.; Lai, X.; Zhang, N.; Zheng, T.; Wu, W. Multi-Objective Optimization of Start-up Strategy for Pumped Storage Units. Energies 2018, 11, 1141.
Hou J, Li C, Tian Z, Xu Y, Lai X, Zhang N, Zheng T, Wu W. Multi-Objective Optimization of Start-up Strategy for Pumped Storage Units. Energies. 2018; 11(5):1141.Chicago/Turabian Style
Hou, Jinjiao; Li, Chaoshun; Tian, Ziqin; Xu, Yanhe; Lai, Xinjie; Zhang, Nan; Zheng, Taoping; Wu, Wei. 2018. "Multi-Objective Optimization of Start-up Strategy for Pumped Storage Units." Energies 11, no. 5: 1141.
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