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Honey Bee Mating Optimization Based LFC Design in a Deregulated Power System

机译:调节电源系统中基于蜜蜂交配优化的LFC设计

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In this paper, optimal tuning of the PID controller for solution of the Load frequency Control (LFC) problem in the restructured power system is proposed using Honey Bee Mating Optimization (HBMO) technique. The problem of robustly tuning of PID based LFC design is formulated as an optimization problem according to the time domain-based objective function which is solved by the HBMO technique that has a strong ability to find the most optimistic results. To ensure performance and robustness of the proposed control strategy to stabilize frequency oscillations, the design process takes a wide range of operating conditions and system nonlinearities into account. To demonstrate the effectiveness of the proposed method a two-area restructured power system is considered as a test system under different operating conditions. The simulation results are shown to maintain robust performance in comparison with the particle swarm optimization and genetic algorithm based tuned PID controllers through some performance indices. Results evaluation show that the proposed control strategy achieves good robust performance for wide range of system parameters and load changes in the presence of system nonlinearities and is superior to the other controllers.
机译:本文提出了一种利用蜜蜂交配优化(HBMO)技术对PID控制器进行优化调整的方法,以解决重组电力系统中的负载频率控制(LFC)问题。基于时域的目标函数将基于PID的LFC设计的鲁棒调整问题表述为优化问题,该问题由HBMO技术解决,该技术具有很强的寻找最乐观结果的能力。为了确保所提出的控制策略稳定频率振荡的性能和鲁棒性,设计过程考虑了广泛的工作条件和系统非线性。为了证明所提出方法的有效性,将两区域重组电力系统视为在不同操作条件下的测试系统。通过一些性能指标,仿真结果表明与粒子群优化和基于遗传算法的PID控制器相比,该算法可保持鲁棒的性能。结果评估表明,所提出的控制策略在存在系统非线性的情况下,对于较大范围的系统参数和负载变化均具有良好的鲁棒性能,并且优于其他控制器。

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