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Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms

机译:基于遗传算法的励磁和基于TCsC的稳定器的鲁棒协调设计

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摘要

Power system stability enhancement via robust coordinated design of a power system stabilizer (PSS) and a thyristor-controlled series capacitor (TCSC)-based stabilizer is thoroughly investigated in this paper. The coordinated design problem of robust excitation and TCSC-based controllers over a wide range of loading conditions and system configurations is formulated as an optimization problem with an eigenvalue-based objective function. The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. This study also presents a singular value decomposition (SVD)-based approach to assess and measure the controllability of the poorly damped electromechanical modes by different control inputs. The damping characteristics of the proposed control schemes are also evaluated in terms of the damping torque coefficient over a wide range of loading conditions. The proposed stabilizers were tested on a weakly connected power system. The damping torque coefficient analysis, nonlinear simulation results, and eigenvalue analysis show the effectiveness and robustness of the proposed approach over a wide range of loading conditions.
机译:本文通过对电力系统稳定器(PSS)和基于晶闸管控制串联电容器(TCSC)的稳定器进行鲁棒协调设计来增强电力系统的稳定性。鲁棒励磁和基于TCSC的控制器在广泛的负载条件和系统配置下的协调设计问题被表述为具有基于特征值的目标函数的优化问题。实编码遗传算法(RCGA)用于搜索最佳控制器参数。这项研究还提出了一种基于奇异值分解(SVD)的方法,用于评估和测量不同控制输入对弱阻尼机电模式的可控制性。所提出的控制方案的阻尼特性还根据在宽负载条件下的阻尼扭矩系数进行了评估。拟议的稳定器在弱连接的电源系统上进行了测试。阻尼扭矩系数分析,非线性仿真结果和特征值分析表明,该方法在各种载荷条件下均具有有效性和鲁棒性。

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