摘要
双碳目标下风光氢联系日益密切,合理的容量优化是保证电氢耦合系统稳定运行的有效途径。针对风–光–氢储–超级电容联合运行的独立微网,提出了一种长期容量优化方法。通过考量氢储系统的动态效率,优化产氢和耗氢设备的工作区间,制定了合理的微网运行控制策略。为反映真实的风光气象因素长期变化趋势,基于皮尔森相关系数和灰色滚动预测法进行典型日长期预测,得到了模型输入样本。以微网的经济性、可靠性和低碳性综合最优为目标构建了容量优化模型,并采用非线性动态权重的多目标粒子群算法求解出Pareto集,同时引入隶属度分析法给出了最佳规划方案。仿真结果表明:相比于当前研究成果,所提方法得益于对氢储单元动态特性的分析和输入样本的改进,能够给出更优越的配置结果。
Under the carbon peaking and carbon neutrality goals,the connection among wind energy,solar energy and hydrogen energy is increasingly close,and reasonable capacity allocation is an effective way to ensure the stable opera-tion of the electro-hydrogen coupling system.A long-term capacity optimization method was proposed for an independent microgrid with combined operation of wind-photo-hydrogen storage-ultracapacitors.By considering the dynamic effi-ciency of hydrogen storage system,the working interval of hydrogen production and hydrogen consumption equipment was optimized,and a reasonable control strategy of microgrid operation was developed.In order to reflect the real long-term trend of the meteorological factors,the long-term forecast of typical days was carried out based on the Pearson correlation coefficient and grey rolling prediction method,and the optimized input samples were obtained.A capacity op-timization model was established to optimize the economy,reliability and low carbon of microgrid,a multi-objective particle swarm optimization algorithm(IMOPSO)with nonlinear dynamic weight was used to solve the Pareto set,and the membership analysis method was introduced to give the optimal planning scheme.Simulation results show that,com-pared with the current research results,the proposed method benefits from the analysis of dynamic characteristics of hydrogen storage units and the improvement of input samples,and can give better configuration results.
作者
朱显辉
胡旭
师楠
张尧
钟敬文
ZHU Xianhui;HU Xu;SHI Nan;ZHANG Yao;ZHONG Jingwen(School of Electrical&Control Engineering,Heilongjiang University of Science&Technology,Harbin 150022,China;Engineering Training&Basic Experiment Center,Heilongjiang University of Science&Technology,Harbin 150022,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2023年第3期1128-1139,共12页
High Voltage Engineering
基金
国家自然科学基金(51677057)。
关键词
电氢耦合
长期预测
氢储动态效率
容量优化
典型日选取
electrohydrogen coupling
long-term forecast
dynamic efficiency
capacity optimization
typical day selec-tion
