摘要
目前,由多种可再生能源组成的分布式系统得到越来越广泛的关注。本文针对典型风光储系统进行了技术与经济性评估,该系统同时包含燃料电池作为稳定电源输出。本文基于自适应粒子群优化算法(Adaptive Particle Swarm Optimization,APSO),通过对风机,光伏,燃料电池及铅酸电池的数学建模,提出一种新型容量优化方法。采用传统迭代算法作为参考,同时考虑了可靠性与经济性因素,发现自适应粒子群优化算法在各方面表现优异。
Now distributed system with multiple renewable energy is getting more and more attention. This paper has applied technical and economic evaluation to the typical wind/PV/storage system,which also include fuel cell as stable power output. Through the modeling of wind turbine,PV,fuel cell and leadacid batteries,this paper propose a new power optimization method based on APSO. In the meanwhile considering reliability and economic factor,APSO performs well in all aspect comparing traditional iterative algorithm.
出处
《科技通报》
2018年第5期184-188,共5页
Bulletin of Science and Technology