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

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...

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Bibliographic Details
Published in:Energies (Basel) 2018-05, Vol.11 (5), p.1141
Main Authors: Hou, Jinjiao, Li, Chaoshun, Tian, Ziqin, Xu, Yanhe, Lai, Xinjie, Zhang, Nan, Zheng, Taoping, Wu, Wei
Format: Article
Language:English
Subjects:
Computer simulation
Controllers
Decision making
Design
full characteristic curve
Hydroelectric power
multi-objective decision-making Method
multi-target start-up
Multiple objective analysis
Objectives
Optimization
Pareto optimization
Power plants
Pumped storage
pumped storage units
refine modeling
Simulation
Storage
Storage units
Strategy
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en11051141