摘要
面向具有电/冷/氢需求的典型园区,提出了一种计及固体氧化物燃料电池(solid oxide fuel cell,SOFC)余热回收的氢-冰储能微网优化配置模型,旨在对微网中风/光/氢/冰/储等各主要部件进行容量优化以提高经济性。首先设计了光伏直流电解水制氢储能和风力交流供电冰蓄冷的交直流混联源荷直驱的双重储能机制;为提高氢能利用率,提出利用SOFC的余热回收进行冷电联产。综合考虑本文所提模型的非线性,电解槽、冰蓄冷等设备运行状态多变,以及优化算法容易陷入局部最优而全局寻优难度大的问题,提出全局搜索能力强的人工蜂群(artificial bee colony,ABC)与量子粒子群(quantum particle swarm optimization,QPSO)混合的ABC-QPSO算法对模型求解。最后以广东某园区为实例,通过4种方案对比分析,验证了本文所提出模型的优越性。
For typical parks with electricity/cooling/hydrogen demand,this paper proposes an optimal configuration model of hydrogen-ice energy storage microgrid considering solid oxide fuel cell(SOFC) waste heat recovery,which aims to optimize the capacity of main components such as wind/light/hydrogen/ice/storage in the microgrid,so as to improve the economy.Firstly,the AC/DC hybrid and source driving load directly of the dual energy storage mechanism of photovoltaic DC electrolytic water hydrogen storage and wind AC power ice storage is designed.In order to improve the utilization rate of hydrogen energy,it is proposed to use the waste heat recovery of SOFC for cogeneration of cold and electricity.Considering the nonlinearity of the model proposed in this paper,the changeable operation states of electrolyzer,ice storage and other equipment,and the problem that the optimization algorithm is easy to fall into local optimization and difficult to find global optimization,an ABC-QPSO algorithm with strong global search ability is proposed to solve the model.Finally,taking a park in Guangdong as an example,through the comparative analysis of four schemes,the superiority of the model proposed in this paper is verified.
作者
项鹏飞
葛磊蛟
周震震
刘航旭
陈伟
XIANG Pengfei;GE Leijiao;ZHOU Zhenzhen;LIU Hangxu;CHEN Wei(State Evaluation and Fault Diagnosis Laboratory of China Southern Power Grid Co.,Ltd.,Guangzhou 510663,China;Key Laboratory of the Smart Grid Ministry of Education,Tianjin University,Tianjin 300072,China)
出处
《南方电网技术》
CSCD
北大核心
2022年第4期105-114,共10页
Southern Power System Technology
基金
国网天津市电力公司科技项目(KJ21-1-18)
省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学)开放课题基金资助(EERI_KF20200014)
国家自然科学基金(51807134)。
关键词
多能互补
余热回收
交直流微网
氢储能
冰蓄冷
multi-energy complementary
waste heat recovery
AC/DC microgrid
hydrogen energy storage
ice storage
