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Artificial Bee Colony Based Power System Stabilizer Design for a Turbo-Generator in a Single-Machine Power System

机译:单机动力系统中基于人工蜂群的涡轮发电机电力系统稳定器设计

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This paper presents an Artificial Bee Colony (ABC) algorithm for optimal tuning of the Power System Stabilizer (PSS) in a Single-Machine Infinite-Bus (SMB) power system. The design problem of robustly tuning PSS parameters is formulated as an optimization problem according to the time domain-based objective function which is solved by the ABC technique that has strong ability to find the most optimistic results. To ensure performance and robustness of the proposed control strategy to stabilize low frequency oscillations The design process takes a wide range of operating conditions. The effectiveness of the proposed ABC based PSS is demonstrated on a SMIB power system through the nonlinear time domain simulation and some performance indices under different operating conditions in comparison with the particle swarm optimization based tuned stabilizer and conventional PSS. Results evaluation show that the proposed stabilizer achieves good robust performance for wide range of system operation conditions and is superior to the other PSSs. Moreover, the proposed control strategy has simple structure, easy to implement and tune which can be useful for the real world complex power system.
机译:本文提出了一种人工蜂群算法(ABC),用于单机无穷大(SMB)电力系统中的电力系统稳定器(PSS)的优化调整。根据时域为目标的目标函数,将鲁棒调整PSS参数的设计问题表述为优化问题,该问题通过ABC技术解决,该技术具有找到最乐观结果的强大能力。为确保所提出的控制策略的性能和鲁棒性以稳定低频振荡,设计过程需要广泛的工作条件。通过基于非线性时域仿真和在不同工况下的一些性能指标,与基于粒子群优化的调谐稳定器和传统PSS相比,基于ABC的PSS的有效性在SMIB电力系统上得到了证明。结果评估表明,所提出的稳定器在广泛的系统操作条件下均具有良好的鲁棒性能,并且优于其他PSS。此外,所提出的控制策略具有结构简单,易于实现和调整的特性,这对于现实世界中的复杂电力系统很有用。

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