中国电力2025，Vol.58Issue(7)：80-90,104,12.DOI:10.11930/j.issn.1004-9649.202501027
考虑多电解槽协同的海上独立能源岛不确定性双层优化配置
Bi-level Optimization Configuration for Offshore Independent Energy Islands Considering Coordination of Multiple Electrolyzers under Uncertainties
摘要
Abstract
With the in-depth development of offshore wind power and the low-carbon advancement of oil drilling platforms,offshore independent energy islands will become a new model for the in-depth consumption of offshore wind power.To address the challenges of frequent start-stop and uneven operation of electrolyzers in offshore independent energy islands due to the uncertainty of offshore wind power,and the complex problem in economic and flexible operation configuration of the multi-coupling of electricity-hydrogen-water-gas,this paper proposes a bi-level optimization configuration method for offshore independent energy islands that considers the coordination of multiple electrolyzers under uncertainty.Firstly,a method for generating complex offshore wind power uncertainty scenarios is proposed based on the K-means algorithm and Monte Carlo simulation.Secondly,a bi-level optimization configuration model is constructed,with the outer layer aiming to maximize benefits and the inner layer considering the coordination of multiple electrolyzers for multi-objective equilibrium optimization control,and the model is solved using an improved particle swarm-Gurobi hybrid approach.Finally,the methods with and without the coordination of multiple electrolyzers,as well as the deterministic and uncertain models are compared through case studies,which verifies the effectiveness and superiority of the proposed method in this paper.关键词
海上独立能源岛/不确定性/优化配置/多电解槽/双层优化Key words
offshore independent energy island/uncertainty/optimization configuration/multiple electrolyzers/bi-level optimization引用本文复制引用
孔令国,田杨进,康建东,方磊,刘闯,蔡国伟..考虑多电解槽协同的海上独立能源岛不确定性双层优化配置[J].中国电力,2025,58(7):80-90,104,12.基金项目
国家自然科学基金资助项目(52377170) （52377170）
吉林省科技发展计划资助项目(YDZJ202403022CGZH). This work is supported by National Natural Science Foundation of China(No.52377170),Technology Development Program of Jilin Province(No.YDZJ202403022CGZH). （YDZJ202403022CGZH）
