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Multi-Objective Optimization of Start-up Strategy for Pumped Storage Units

1
School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
2
Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430010 China
3
China Yangtze Power Co., Ltd., Yichang 443000, China
*
Authors to whom correspondence should be addressed.
Energies 2018, 11(5), 1141; https://doi.org/10.3390/en11051141
Received: 22 March 2018 / Revised: 26 April 2018 / Accepted: 26 April 2018 / Published: 3 May 2018
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Abstract

This 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
Keywords: pumped storage units; refine modeling; full characteristic curve; multi-target start-up; multi-objective decision-making Method pumped storage units; refine modeling; full characteristic curve; multi-target start-up; multi-objective decision-making Method
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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.

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