摘要
以某区域典型的日风速、光照强度、温度和负荷曲线为基础数据,利用遗传算法对独立型微电网优化模型进行求解。实际案例验证所提出的优化配置方法,结果最优合理。
Based on the typical daily wind speed, light intensity, temperature and load curve of a certain area, the genetic algorithm is used to solve the independent microgrid optimization model. The actual case verifies that the proposed optimal allocation method is optimal and reasonable.
作者
王广玲
汝会通
WANG Guangling;RU Huitong(School of Electrical and Control Engineering,North China University of Technology,Beijing 100144,China;China Three Gorges new energy(Group)Co.,Ltd.,Shandong 250001,China)
出处
《集成电路应用》
2021年第6期120-121,共2页
Application of IC
关键词
储能
等年值投资成本
遗传算法
容量优化配置
energy storage
equal annual investment cost
genetic algorithm
capacity optimization
