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首页> 外文期刊>Optimal Control Applications and Methods >Hybridized gravitational search algorithm tuned sliding mode controller design for load frequency control system with doubly fed induction generator wind turbine
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Hybridized gravitational search algorithm tuned sliding mode controller design for load frequency control system with doubly fed induction generator wind turbine

机译：杂交的重力搜索算法调谐滑模控制器设计，具有双馈感应发电机风力涡轮机的负载频率控制系统

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摘要

In this paper, the load frequency regulation problem of 2-area interconnected power system is resolved using the sliding mode control (SMC) methodology. Interconnected 2-area power systems with and without doubly fed induction generator wind turbines are considered for implementing the proposed optimal control methodology. Here, a heuristic gravitational search algorithm (GSA) and its variants such as opposition learning-based GSA (OGSA), disruption-based GSA (DGSA), and disruption based oppositional GSA (DOGSA) are employed to optimize the switching vector and feedback gains of SMC. In order to overcome the inherent chattering problem in SMC, the control signals are considered in the objective function. The robustness of optimized SMC is analyzed by the inclusion of nonlinearities such as generation rate constraint (GRC), governor deadband, and time delay during the signal processing between the control areas, which are present in the real-time power system. The insensitiveness of the optimal controller is shown by variation in system parameters like loading condition, speed governor constant, turbine constant, and tie-line power coefficient. Further, the optimal SMC has been studied with significant load variations and wind power penetration levels in the control areas. The potential of proposed SMC design with chattering reduction feature is shown and validated by comparing the results obtained with the other reported methods in the literature.
机译：本文使用滑动模式控制（SMC）方法解决了2面互连电力系统的负载频率调节问题。具有和不具有双馈电气发电机风力涡轮机的互连的2区域动力系统被认为用于实现所提出的最佳控制方法。这里，采用了一种启发式重力搜索算法（GSA）及其变体，例如基于反对基于学习的GSA（OGSA），基于中断的基于GSA（DGSA）和中断的对立GSA（Dogsa）来优化开关向量和反馈增益SMC。为了克服SMC中的固有抖动问题，在目标函数中考虑控制信号。通过包括在实时功率系统中存在的控制区域之间存在的信号处理期间的非线性，分析优化SMC的稳健性。最佳控制器的不敏感性通过加载条件，速度调速器恒定，涡轮恒定和扎线功率系数等系统参数的变化来示出。此外，已经研究了最佳SMC，并在控制区域中具有显着的负载变化和风力渗透水平。通过比较文献中的其他报道方法获得的结果，显示和验证了所提出的SMC设计的潜力。

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