This paper presents a fuzzy predictive‐proportional integral derivative (FP‐PID) controller approach for automatic generation controller (AGC). This new AGC approach aims to balance the total generating system without any power losses and load changes in keeping constant system frequency per tie‐lie power flow. But, a sudden load variation in multi‐area Interconnected power system (MIPS) creates nonlinearities (frequency deviation & tie‐line) in all control areas. Because, penetrating of renewable sources to the power system, the sluggish control action may cause inefficiency in migrating frequency and tie‐line power flow. Hence, an accurate and fast‐acting controller is required to maintain the nominal value also the quality and stability of power system, because traditional AGC is not feasible for further process. Here, we propose an FP‐PID controller in MIPS for controlling large parametric uncertainties. Modeling error is taken into account to reduce the maximum deviation and time of oscillation. The main purpose of FP‐PID based AGC is to ensure stable and reliable power system operation. A grasshopper optimization algorithm (GOA) is used to tune the parameters of FP‐PID controller with Integral of time multiplied squared error (ITSE) as the objective function. The proposed method is compared with conventional two‐area and three‐area system, the result are built‐in Simulink/MATLAB show that the proposed method has a good dynamic response, fast operation reduced magnitude error and minimized frequency transients for three power areas. The robustness of the controller is, it need not be retuned for wide variations in system parameters and random step load power.

中文翻译：

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基于模糊预测PID控制器的蚂蚁优化算法的多区域多源调节电力系统自动发电控制器

本文提出了一种用于自动发电控制器（AGC）的模糊预测比例积分微分（FP-PID）控制器方法。这种新的AGC方法旨在平衡整个发电系统，而不会造成任何功率损耗和负载变化，从而使每个联络流的系统频率保持恒定。但是，多区域互联电源系统（MIPS）中负载的突然变化会在所有控制区域中产生非线性（频率偏差和联络线）。因为将可再生资源渗透到电力系统中，缓慢的控制措施可能会导致迁移频率和联络线功率流效率低下。因此，需要一个精确而快速的控制器来保持标称值以及电力系统的质量和稳定性，因为传统的AGC对于进一步的处理是不可行的。这里，我们建议在MIPS中使用FP-PID控制器来控制较大的参数不确定性。考虑建模误差以减少最大偏差和振荡时间。基于FP-PID的AGC的主要目的是确保电力系统稳定可靠。使用蚱hopper优化算法（GOA）以时间乘方平方误差积分（ITSE）为目标函数来调整FP-PID控制器的参数。将该方法与传统的两区和三区系统进行了比较，结果内置于Simulink / MATLAB，结果表明，该方法具有良好的动态响应，可快速运行，降低了幅度误差，并减小了三个功率区域的频率瞬变。对于系统参数和随机步进负载功率的广泛变化，无需重新调整控制器的鲁棒性。