基于猫群算法的风光储微电网电源容量优化配置研究  

RESEARCH ON OPTIMIZED CONFIGURATION OF POWER SUPPLY CAPACITY OF WIND-PV-STORAGE ENERGY MICROGRID BASED ON CAT SWARM OPTIMIZATION

作　　者：张宁[1] Zhang Ning(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学电气工程与自动化学院,福州350108

出　　处：《太阳能》2022年第4期69-75,共7页Solar Energy

基　　金：福建省教育厅中青年教师教育科研资助项目(科技类)(JT180019)。

摘　　要：在风光储微电网中建立孤岛运行方式下风、光、储的容量优化配置模型,该模型以负荷缺电率作为微电网供电可靠性的约束条件,以微电网运行成本最小为目标函数。利用猫群算法对所提模型进行求解,确定出风电机组、光伏组件和蓄电池的最优容量配置方案。最后,通过算例证明了所提模型与方法的有效性。In the wind-PV-storage energy microgrid,the optimized configuration model of wind,PV and storage energycapacity under isolated island operation mode is established.This model takes the power supply reliability of microgrid as constralnt condition and the minimum operating cost of microgrid as the objective function.The cat swarm optimization(CSO) is used to solve the economic dispatch model proposed in this paper,and the optimal capacity allocation scheme of wind turbines,PV modules and batteries are determined.Finally,an example proves the effectiveness of the CSO in microgrid dispatching.

关 键 词：猫群算法 风光储微电网 储能系统 容量优化配置 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]