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Optimal location selection for offshore wind-PV-seawater pumped storage power plant using a hybrid MCDM approach: A two-stage framework

机译:使用混合MCDM方法的海上风电-PV-抽水蓄能电站的最佳位置选择:两阶段框架

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Constructing an economical wind-PV-seawater pumped storage (SPS) plant is crucial to promote the cornplementarity of wind and PV resources in time and space dimensions and to reduce energy abandonment caused by voltage instability. It is also beneficial to realizing long-time sustainable development objectives for offshore areas and even for the whole country. To select the optimal site of wind-PV-SPS power plants with massive difficulties lying in different attitudes of decision makers to loss risk, uncertainties of decision-making environment and various attributes of evaluation alternatives, a fuzzy multi criteria decision making based a two-stage evaluation mode is proposed. Firstly, two sets of criteria systems, representing veto selection of regional resources and the conditions of sustainable development described by triangular intuitionistic fuzzy numbers (TIFNs), are established to ensure the scientificality and comprehensiveness of the evaluation process. Then, alternatives are preliminarily selected through veto identification. Afterwards, criteria weights of the second evaluation stage determined by the entropy method are incorporated within TODIM (an acronym in Portuguese of interactive and multiple attribute decision making) to rank potential wind-PV-SPS objects. Finally, to validate the effectiveness of the proposed model, a case study in China is conducted and the calculation result shows that Qingtian Bay in Zhou Shan is the best.
机译:建设经济的风能-光伏-海水抽水蓄能(SPS)厂对于在时间和空间维度上促进风能和光伏资源的平衡和减少因电压不稳而导致的能源浪费至关重要。它还有利于实现近海地区甚至整个国家的长期可持续发展目标。为了选择面临巨大风险,决策者对损失风险的态度,决策环境的不确定性以及评估备选方案的各种属性而面临巨大困难的风电-PV-SPS电厂的最佳地点,基于两个目标的模糊多准则决策方法是:提出了阶段评价模式。首先,建立了两套标准系统,分别代表区域资源的否决选择和三角直觉模糊数(TIFN)描述的可持续发展条件,以确保评估过程的科学性和全面性。然后,通过否决权预先选择替代方案。之后,将通过熵方法确定的第二评估阶段的标准权重合并到TODIM(交互式和多属性决策的葡萄牙语缩写)中,对潜在的风PV-SPS对象进行排名。最后,为验证所提模型的有效性,在中国进行了案例研究,计算结果表明,舟山青田湾是最好的。

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