Multi-method combination site selection of pumped storage power station considering power structure optimization

Ji, Liyan; Li, Cunbin; Li, Xiaopeng; Li, Peng; Zhu, Hanyu; Zhang, Zheng

doi:10.1016/j.seta.2021.101680

Cited by 7 publications

(1 citation statement)

References 41 publications

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“…Li JY et al reviewed a new type of pumped storage power station with better stability, faster response speeds and wider regulation ranges [12]. Ji LY et al proposed a method for the site selection of pumped storage power stations considering power structure optimization based on Kendall's concordance coefficient, the analytic hierarchy process (AHP), and TOPSIS models [13]. He YX et al proposed a "three-stage" competitive model of pumped storage power plants participating in the electricity spot market by using a quadratic programming algorithm with two consecutive iterations and a reinforcement learning algorithm, and the result indicates that the proposed model can bring better benefits to the pumped storage power station [14].…”

Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Novel Fuzzy MCDM Method for Comprehensive Performance Evaluation of Pumped Storage Power Station in China

2021

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Considering the goals of carbon peaking and carbon neutrality, along with their related policies, pumped storage power stations are set to develop quickly in China. The comprehensive performance of pumped storage power stations must urgently be evaluated, which can help investors in decision making and provide a reference for policymakers. In this paper, a hybrid novel fuzzy multicriteria decision-making (MCDM) method combining the fuzzy best worst method (BWM) and fuzzy TOPSIS was proposed for the comprehensive performance evaluation of pumped storage power stations in China. The fuzzy BWM was utilized to determine the criteria weights describing the comprehensive performance of pumped storage power stations, while the fuzzy TOPSIS was used to rank the comprehensive performance of pumped storage power stations. The index system for the comprehensive performance evaluation of pumped storage power stations in China incorporated economic, social, and environmental aspects. The comprehensive performance of four pumped storage power stations in China was empirically evaluated using the proposed hybrid novel fuzzy MCDM method, and the results indicate that pumped storage power station PSPS2 exhibited the best comprehensive performance, followed by pumped storage power stations PSPS1 and PSPS4, whereas pumped storage power station PSPS3 had the worst comprehensive performance. A sensitivity analysis and comparative analysis were also conducted. The results indicate that the proposed hybrid novel fuzzy MCDM method, combining the fuzzy BWM and fuzzy TOPSIS for comprehensive performance evaluation of pumped storage power stations, is robust and effective.

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Section: Literature Reviewmentioning

confidence: 99%