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Coordinated design of PSS and TCSC based on Fuzzy controller using global signals

机译:基于全局信号的​​模糊控制器的PSS与TCSC协调设计

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This paper presents a modified chaotic gravitational search algorithm (CGSA) as a novel heuristic algorithm for coordinate design of fuzzy logic controller-based thyristor controlled series capacitor (FLC-TCSC) and power system stabilizers (PSSs) in multi-machine power system. The coordinate design of PSS and FLC-TCSC damping controllers is converted to a single optimization problem with the time-domain objective function which is solved by the proposed CGSA algorithm which has strong ability for finding the most optimistic results. By minimizing the employed fitness function in which oscillatory characteristics between areas are included, the interactions among the FLC-TCSC controller and PSS under transient conditions in the multi-machine power system are enhanced. The generator speed and the electrical power are chosen as global input signals. The system performance is assessed through the time multiplied absolute value of the error (ITAE), Eigenvalues and figure of demerit (FD) analysis performance indices. The robustness is tested by considering several operating conditions to establish the superior performance with the proposed controller over the other stabilizers.
机译:针对多机电力系统中基于模糊逻辑控制器的可控硅串联电容器(FLC-TCSC)和电力系统稳定器(PSS)的坐标设计,提出了一种改进的混沌重力搜索算法(CGSA)。将PSS和FLC-TCSC阻尼控制器的坐标设计转换为具有时域目标函数的单个优化问题,该问题通过提出的CGSA算法得以解决,该算法具有找到最乐观结果的强大能力。通过最小化包含区域之间的振荡特性的采用的适应度函数,可以增强多机电源系统中瞬态条件下FLC-TCSC控制器和PSS之间的交互作用。选择发电机速度和电功率作为全局输入信号。通过时间乘以误差的绝对值(ITAE),特征值和缺点指数(FD)分析性能指标来评估系统性能。通过考虑几种操作条件来测试鲁棒性,以使所提出的控制器优于其他稳定器,从而建立出卓越的性能。

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