交流电源
光伏系统
计算机科学
MATLAB语言
风力发电
涡轮机
偏移量(计算机科学)
功率(物理)
网格
控制理论(社会学)
数学优化
电压
工程类
电气工程
数学
机械工程
物理
几何学
控制(管理)
量子力学
人工智能
程序设计语言
操作系统
出处
期刊:Journal of physics
[IOP Publishing]
日期:2023-04-01
卷期号:2473 (1): 012011-012011
标识
DOI:10.1088/1742-6596/2473/1/012011
摘要
Abstract Wind turbine, photovoltaic and other power supply connected to the grid operation brings new critical problems to traditional reactive power optimization. Considering the safety and stability of operation, a reactive power optimization model with two objectives of minimum voltage offset and minimum network loss is established. In MATLAB, the reactive power optimization simulation analysis of the IEEE33 system connected with a wind turbine and photovoltaic is carried out, and the MOPSO algorithm is used to solve the reactive power optimization model. The multi-objective MOPSO algorithm is optimized to improve the stability of power grid operation and reduce the fluctuation of power flow. The network loss is reduced, and the effectiveness of the strategy is verified.
科研通智能强力驱动
Strongly Powered by AbleSci AI