摘要
研究综合能源系统优化调度,实现预测误差下的经济可靠运行。分析综合能源系统的结构和负荷特性;在考虑风光负荷预测误差的条件下,建立基于风电、光伏发电、柴油发电及储能系统运行成本的优化调度模型;采用改进粒子群算法进行算例求解。经验证,优化储能系统和柴油发电调度模型,使系统既能较好地平抑风光负荷的波动性,又能实现最优经济运行。
Considering scheduling algorithms of the IES,achieving the running situation which are reliable and economical under predictive errors.To solve this problem,the processes are as follows:1)Analyzing the structure and load characteristic of IES;2)Modeling the scheduling algorithms which have relationship with the operating cost of wind power,photovoltaic,diesel generation and energy storage system;3)Using the particle swarm optimization to work out the results of an ensample.In conclusion,the model make the system both absorbs volatility of the wind power and achieves economical operation admirably.
作者
田德
陈忠雷
邓英
Tian De;Chen Zhonglei;Deng Ying(State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2019年第7期1890-1896,共7页
Acta Energiae Solaris Sinica
基金
国家技术研究发展(863)计划项目智能电网关键技术研发,风电场、光伏电站集群控制系统研究与开发子课题(2011AA05A104)
关键词
改进粒子群算法
调度算法
运行成本
综合能源系统
particle swarm optimization
scheduling algorithms
operating cost
integrated energy system
