储能科学与技术2025，Vol.14Issue(5)：1969-1981,13.DOI:10.19799/j.cnki.2095-4239.2024.1091
多源耦合不确定性下含电氢储能的微电网低碳容量优化配置研究
Low-carbon capacity optimal configuration of microgrid with hydrogen energy storage under multi-source coupling uncertainties
摘要
Abstract
Against the backdrop of global energy transition,the microgrid,as a flexible and effective integration solution for distributed renewable energy,is crucial for the sustainable development of energy systems.The microgrid can not only improve the flexibility and reliability of the power system,but also provide a practical way to achieve the goal of low-carbon economy.This paper aims to improve the economic efficiency,stability,and low-carbon characteristics of microgrid operation,focusing on the optimal double-layer configuration of a microgrid with electricity-hydrogen energy storage under multi-source coupling uncertainties.Specifically,based on analyzing the operation characteristics of various units in the microgrid,the study utilizes scenario generation and the improved K-means clustering algorithm to construct typical scenario sets for wind power,photovoltaic output,and power load to address uncertainty issues.Furthermore,considering the carbon trading mechanism,a double-layer optimization configuration model is proposed for the microgrid,with the objective of minimizing overall costs in the upper layer and minimizing total operation costs of the system in the lower layer.Finally,the double-layer optimization model is solved by combining an improved shearwater algorithm and mixed-integer linear programming method,and then the optimal capacity configuration of the microgrid is determined.The effectiveness and superiority of the proposed method are verified by an example analysis based on annual meteorological and load data in a certain area of central China.关键词
微电网/氢储能/配置优化/双层优化/不确定性建模Key words
microgrid/hydrogen energy storage/configuration optimization/two-layer optimization/uncertainty modeling分类
能源科技引用本文复制引用
李明,尹文良,李勇康,孙晨业,陈佳佳..多源耦合不确定性下含电氢储能的微电网低碳容量优化配置研究[J].储能科学与技术,2025,14(5):1969-1981,13.基金项目
国家自然科学基金项目(52377110,52005306). （52377110,52005306）
