Optimal sizing for wind-photovoltaic-hydrogen storage integrated energy system under intuitionistic fuzzy environment

尺寸 光伏系统 可再生能源 计算机科学 数学优化 储能 风力发电 整数规划 运筹学 多准则决策分析 工艺工程 可靠性工程 环境经济学 工程类 算法 数学 功率(物理) 经济 电气工程 物理 艺术 量子力学 视觉艺术
作者
Yiming Ke,Hongyu Tang,Min Liu,Qingxu Meng,Yue Xiao
出处
期刊:International Journal of Hydrogen Energy [Elsevier BV]
卷期号:48 (88): 34193-34209 被引量:14
标识
DOI:10.1016/j.ijhydene.2023.05.245
摘要

As the primary consideration, sizing optimization has great impact on wind-photovoltaic-hydrogen storage integrated energy system (WPHIES) construction. However, few studies on sizing optimization consider the characteristics of renewables coupled with hydrogen storage, or discuss decision-making fuzziness. Therefore, a three-objective mixed integer linear programming model for WPHIES sizing is proposed under intuitionistic fuzzy environment. Based on the concept of Energy Trilemma, indexes of the annual comprehensive cost, the annual carbon emission and the external electricity dependence are selected as the optimization objectives. Next, considering that exact numerical evaluation cannot well reflect the uncertainty of decision-making preferences, the intuitionistic fuzzy number is introduced to determine index weights so as to improve the accuracy of decision-making. At last, a case study including comparison, sensitivity and scenario analyses is carried out. Compared with traditional integrated energy system, WPHIES can achieve 15% annual comprehensive cost, 26% annual carbon emission and 84% external electricity dependence of reduction. Furthermore, great priority should be given to photovoltaic so as to promote renewable energy development. This research can not only provide great reference for scholar to explore issues of WPHIES sizing optimization, but also help WPHIES investors or managers efficiently and scientifically arrive at optimal sizing schemes.
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