摘要
统一潮流控制器(UPFC)为现代电力系统的安全、稳定、经济运行提供了有效途径。文中采用分层自适应遗传算法寻优UPFC模糊控制器的量化因子和比例因子,基于智能权函数法设计模糊控制规则。所设计的UPFC模糊控制器充分利用了遗传算法的参数优化能力和模糊控制的鲁棒性。采用Matlab对含UPFC的单机无穷大系统进行了仿真。仿真结果表明所设计的UPFC模糊控制器可以有效地调节UPFC所接入处的母线电压、稳定UPFC直流侧电容电压、控制输电线路的潮流,并且响应速度快、控制精度高、鲁棒性强。
The unified power flow controller（UPFC）provides an effective way for security,stability and economic operation of the modern power system. A hierarchical adaptive genetic algorithm is used to optimize the quantization factor and the scale factor of the fuzzy controller for UPFC in this paper. Fuzzy control rules are designed based on the intelli-gent weight function method. The designed fuzzy controller for UPFC takes advantage of not only parameter optimization capability owing to the genetic algorithm,but also robustness of the fuzzy control. A single machine infinity bus system with UPFC is simulated with Matlab. Simulation results showed that the designed fuzzy controller for UPFC can effec-tively adjust the bus voltage at UPFC access,stabilize capacitor voltage at UPFC DC side and control the transmission line power flow with quick response,high control precision and strong robustness.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2015年第8期49-53,共5页
Proceedings of the CSU-EPSA
基金
安徽省教育厅自然科学研究资助项目(KJ2013B269)
关键词
统一潮流控制器
模糊控制
智能权函数
分层自适应遗传算法
unified power flow controller（UPFC）
fuzzy control
intelligent weight function
hierarchical adaptive genetic algorithm
