考虑微观选址的分布式海上风电制氢容量优化配置  

Capacity Optimal Configuration of Distributed Offshore Wind Power to Hydrogen Considering Micro-siting

作　　者：杜云飞 沈欣炜 郦洪柯 李佳蓉 陆柏安 DU Yunfei;SHEN Xinwei;LI Hongke;LI Jiarong;LU Boan(Tsinghua Shenzhen International Graduate School,Shenzhen 518055,China;PowerChina Huadong Engineering Corporation Limited,Hangzhou 311122,China;Department of Electrical Engineering,Tsinghua University,Beijing 100084,China)

机构地区：[1]清华大学深圳国际研究生院,广东省深圳市518055 [2]中国电建集团华东勘测设计研究院有限公司,浙江省杭州市311122 [3]清华大学电机工程与应用电子技术系,北京市100084

出　　处：《电力系统自动化》2024年第21期61-70,共10页Automation of Electric Power Systems

基　　金：国家自然科学基金资助项目(52007123);广东省基础与应用基础海上风电联合基金资助项目(2022A1515240019,2023A1515240055)。

摘　　要：海上风电制氢是提升海上风电场经济性与风电消纳率的重要发展方向,其中,分布式海上风电制氢由于无须配备昂贵的高压海底电缆和海上变电枢纽平台,是深远海风电场制氢可预期的首选方案。然而,尾流效应的存在使得不同微观选址方案下的分布式平台制氢能力存在差异,并进一步影响电解槽的容量优化配置。因此,以分布式海上风电制氢平准化制氢成本(LCOH)最小化为目标,提出了考虑微观选址的电解槽容量优化配置方法。首先,对基于Larsen尾流模型的平台间耦合特性、单个平台内风机与电解槽运行特性进行建模,并嵌入所提出的电解槽容量优化配置模型。其次,在容量优化配置模型中同时考虑平台的微观选址,基于分解-协调的思想,将原问题拆分并迭代求解。最后,以中国江苏省某深远海域实际数据为例进行仿真验证,所得方案的LCOH与既有方案相比大幅降低,验证了所提容量优化配置方法的有效性。Offshore wind power to hydrogen(OWPtH)is a vital development trend to improve the economics and the wind power penetration rate of offshore wind farms.Distributed OWPtH is a preferred solution to the hydrogen production in the deep and far sea without expensive high-voltage submarine cables and offshore substations.However,distributed platform hydrogen production capacity differs in different micro-siting schemes due to the wake effect,which further affects the capacity optimal configuration of electrolyzers.Hence,to minimize the levelized cost of hydrogen(LCOH)of distributed OWPtH,a capacity optimal configuration method considering micro-siting is proposed.Firstly,the coupling characteristics between the platforms based on the Larsen wake effect model,and the operation characteristics of wind turbines and electrolyzers in the single platform are modeled and embedded in the proposed capacity optimal configuration model.Secondly,considering the micro-siting of the platforms,the capacity optimal configuration model is decomposed and solved iteratively based on the ideas of decomposition-coordination.Finally,the case studies based on the actual data of deep and far sea in Jiangsu Province of China show that the LCOH of the proposed scheme is significantly reduced compared to the existing scheme.The effectiveness of the proposed OWPtH capacity optimal configuration method is verified.

关 键 词：海上风电制氢 风电场 容量优化配置 微观选址 平准化制氢成本 

分 类 号：TM614[电气工程—电力系统及自动化] TQ116.2[化学工程—无机化工]