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Frequency stabilization of multi-area multi-source interconnected power system using TCSC and SMES mechanism

机译:利用TCSC和SMES机制的多区域多源互联电力系统频率稳定

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摘要

The present aspect studies automatic generation control (AGC) of a multi-area multi-source test system with the effects of thyristor controlled series compensation (TCSC) and superconducting magnetic energy storage (SMES) units. The studied test system is a three-area power system model having thermal-thermal unit in area-1, thermal-hydro unit in area-2 and thermal-gas unit in area-3. The same is imposed by appropriate time delay, governor deadband, generation rate constraint nonlinearities. A nature-inspired optimization technique called moth-flame optimization algorithm is implemented for solving the constrained optimization parameters. The step load perturbation (SLP) and random SLP are used for the dynamic performance analysis. The designed controller based dynamic responses are also studied with wide perturbation in parametric values through robustness analysis. Analysis reveals that the proposed control strategy, considering SMES and TCSC units, improves the dynamical performances of system significantly in terms of settling time and overshoot against parametric uncertainties against a wide range of area load demands and disturbances even in the presence of system nonlinearities.
机译:本方面研究了具有晶闸管控制串联补偿(TCSC)和超导磁储能(SMES)单元的多区域多源测试系统的自动发电控制(AGC)。所研究的测试系统是一个三区域电力系统模型,具有区域1中的热热单元,区域2中的热水单元和区域3中的热气单元。适当的时间延迟,调速器死区,发电速率约束非线性也会带来相同的影响。为了解决约束优化参数,实施了一种自然启发式优化技术,称为飞蛾优化算法。阶跃负载扰动(SLP)和随机SLP用于动态性能分析。通过鲁棒性分析,还研究了基于设计的基于控制器的动态响应,并对参数值产生了较大的扰动。分析表明,考虑到SMES和TCSC单元,所提出的控制策略在建立时间和针对范围广泛的区域负载需求和干扰的参数不确定性的过冲方面,即使在存在系统非线性的情况下,也显着改善了系统的动态性能。

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