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Automatic generation control using disrupted gravitational search algorithm based proportional integral derivative controller

机译:基于比例积分衍生控制器的中断重力搜索算法自动生成控制

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This paper presents the solution of automatic generation control (AGC) problem using the proportional integral derivative (PID) controller optimized with the most recent meta-heuristic gravitational search algorithm (GSA) and its variant disrupted gravitational search algorithm (DGSA). A two-area hydrothermal system is considered for the performance analysis and comparison purpose. GSA and DGSA are used to search for the optimal PID parameters considering the integral time absolute error (ITAE) as the objective function. A disturbance of 0.01 p.u MW is considered for the analysis purpose. The performance is shown by the dynamic responses of frequency and tie-line deviation, their settling time and damping ratio of the system. The superiority of the DGSA optimized PID control is shown by comparing the results with GSA based PID controller. The sensitivity analysis is also carried out to show the robustness of the controller.
机译:本文介绍了使用与最近的元启发式重力搜索算法(GSA)优化的比例积分衍生物(PID)控制器的自动生成控制(AGC)问题及其变体中断的引力搜索算法(DGSA)解决方案。考虑两区域的水热系统进行性能分析和比较目的。 GSA和DGSA用于搜索考虑到整数绝对误差(ITAE)作为目标函数的最佳PID参数。用于分析目的,考虑了0.01 p.u mw的干扰。该性能由频率和扎线偏差的动态响应,其稳定时间和系统的阻尼比。通过将结果与基于GSA的PID控制器进行比较,显示了DGSA优化PID控制的优越性。还执行了灵敏度分析以显示控制器的稳健性。

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