统一潮流控制器的GNF控制策略设计

Design of GNF scheme for UPFC

统一潮流控制器UPFC(UnifiedPowerFlowController)是现代电力系统中调节电压和潮流的有效手段。提出了一种由径向基函数神经网络RBFNN(RadialBasicFunctionNeuro鄄Network)和TS(Takagi鄄Sugeno)模糊控制策略综合而成的统一潮流控制器控制策略设计方案,即遗传神经模糊综合控制GNF(GeneticNeuralFuzzy),利用TS模糊控制策略实时更新RBFNN参数,同时采用多机系统中的转速信号ITAE指数作为适应度函数,利用遗传算法GA(GeneticAlgorithm)优化TS模糊控制策略系数以及辅助阻尼信号参数,提高了系统的暂态稳定性。经验证,该方案比传统的PI控制策略具有更好的系统振荡阻尼性能,改善了系统的动态品质。

UPFC ( Unified Power Flow Controller ) has been proved an effective means for regulating voltage and power flow in modern power systems.A GNF ( Genetic Neural Fuzzy ) scheme for UPFC is presented ,which integrates RBFNN ( Radial Basic Function Neuro - Network ) and TS - fuzzy schemes.TS - fuzzy scheme is used to real - timely refresh RBFNN parameters ,and GA ( Genetic Algorithm ) is used to optimize the factors of TS - fuzzy scheme and the parameters of auxiliary damping signal with the ITAE index of rotate speed signal in multi - machine system as adaptability function ,which improves the transient stability of power system.Case studies show that it has better damping performance than the conventional PI controller does and improves the system dynamic character.