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Frequency Regulation of Hybrid Power System by Optimized Adaptive Fuzzy PID Controller

机译：优化自适应模糊PID控制器在混合电力系统中的频率调节。

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In this study, an adaptive fuzzy PID (AFPID) regulator has been proposed for frequency control of hybrid power system. For controller parameter optimization, an upgraded Whale Optimization Algorithm (WOA) has been employed. In the proposed Upgraded WOA (UWOA) technique, a cosine function is incorporated in the original WOA for determining control parameter to manage the position of whales throughout optimization procedure. Furthermore, scaling factors are employed in original WOA to adjust the travel of whales in search procedure. Proposed UWOA technique is employed to design an AFPID controller for frequency regulation of a hybrid power system It is demonstrated that UWOA technique out performs WOA technique in controller design problem and AFPID controller is more effective in controlling the frequency relative to PID controller which is generally taken as a standard controller. Finally, the performance of AFPID controller is equated with PID under different serious uncertain scenarios to illustrate the advantage of AFPID over PID controller.
机译：在这项研究中，提出了一种自适应模糊PID（AFPID）调节器，用于混合动力系统的频率控制。对于控制器参数优化，已采用升级的鲸鱼优化算法（WOA）。在提出的升级WOA（UWOA）技术中，余弦函数被合并到原始WOA中，用于确定控制参数以在整个优化过程中管理鲸鱼的位置。此外，在原始WOA中使用比例因子来调整鲸鱼在搜索过程中的行程。提出的UWOA技术用于设计混合动力系统频率调节的AFPID控制器。证明了UWOA技术在控制器设计问题上表现出WOA技术，并且AFPID控制器在控制频率方面相对于PID控制器更为有效。作为标准控制器。最后，在不同的严重不确定性情况下，将AFPID控制器的性能与PID等效，以说明AFPID相对于PID控制器的优势。

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