南方电网技术2025，Vol.19Issue(9)：59-71,13.DOI:10.13648/j.cnki.issn1674-0629.2025.09.006
考虑储能动态老化特性的独立海岛零碳微网电-水协同双层规划
Double-Layer Coordinated Planning for Electricity and Water in Zero-Carbon Microgrids on an Independent Island Considering the Dynamic Aging Characteristics of Energy Storage
摘要
Abstract
Constructing a zero-carbon island microgrid with a water and power supply system is an effective means to promote the sustainable development of independent islands.However,energy storage aging significantly impacts its storage power and operating power over time.To improve the reliability of island microgrid planning results,a collaborative electricity-water planning method for zero-carbon microgrids on an independent island considering the dynamic aging characteristics of energy storage is proposed.Firstly,refined physical models of electrochemical energy storage and hydrogen energy storage are established to analyze aging effects on operating efficiency.Secondly,a freshwater preparation system is introduced to establish a zero-carbon microgrid electricity-water cooperative planning model for independent islands in order to minimize the total investment operation and maintenance cost of the microgrid.To enhance the model solution speed,the planning problem is divided into two layers.The upper layer optimizes the installed capacity of the energy storage system with minimum investment cost based on the capacity of renewable energy,and the lower layer replans renewable energy capacity based on the upper layer's results.Then,the ADMM method is used to solve iteratively until the total investment cost converges to obtain the optimal island planning scheme.Finally,the simulation analysis of a Fujian island verifies the method's rationality and effectiveness.关键词
零碳微网/独立海岛/储能动态老化特性/双层优化模型Key words
zero-carbon microgrid/independent island/dynamic aging characteristics/bi-level optimal model分类
信息技术与安全科学引用本文复制引用
邹舒瑾,江岳文,林琼斌,温步瀛,缪健锋,涂承谦..考虑储能动态老化特性的独立海岛零碳微网电-水协同双层规划[J].南方电网技术,2025,19(9):59-71,13.基金项目
国家自然科学基金资助项目(52307087) （52307087）
福建省科技重大专项专题项目(2022HZ028010). Supported by the National Natural Science Foundation of China(52307087) （2022HZ028010）
the Science and Technology Major Special Project of Fujian Province(2022HZ028010). （2022HZ028010）
