Application of optimized adaptive crow search algorithm based two degree of freedom optimal fuzzy PID controller for AGC system
Application of optimized adaptive crow search algorithm based two degree of freedom optimal fuzzy PID controller for AGC system
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基于优化自适应乌鸦搜索算法的二自由度最优模糊PID控制器在AGC系统中的应用
DOI：
10.1016/j.jestch.2021.09.007
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Karanam Appala Naidu
中科院分区：
文献类型：
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作者：
Jyoti Ranjan Nayak;B. Shaw;B. K. Sahu;Karanam Appala Naidu
本文研究了具有非线性的二区和三区再热热系统的自动生成控制。二自由度最优模糊辅助PID （2DOF OFAPID）控制器作为辅助控制器应用于各领域。通过与PID、2DOF PID、带滤波器分数阶积分的模糊PID和OFAPID控制器的对比研究，验证了所提2DOF OFAPID控制器的性能。采用乌鸦搜索算法（Crow Search Algorithm， CSA）和优化自适应CSA算法建立了相关参数、规则（Ri）和隶属函数（MFs）。CSA中每只乌鸦的相关飞行长度（fl）采用正弦余弦算法（SCA）进行优化，称为正弦余弦算法优化自适应乌鸦搜索算法（SCAOACSA）。通过求解8个基准方程，证明了该算法优于CSA和SCA算法。对比结果表明，基于SCAOACSA的2DOF OFAPID控制器是缩短互联电力系统频率和功率偏差的有效策略。
This work demonstrates Automatic Generation Control (AGC) of two and three area reheat thermal system with nonlinearities. A Two Degree of Freedom Optimal Fuzzy Aided PID (2DOF OFAPID) controller is applied in all areas as secondary controller. The performance of proposed 2DOF OFAPID controller is validated through a comparative study with PID, 2DOF PID, fuzzy PID with filter-fractional order integral and OFAPID controllers. The pertinent parameters, Rules (Ri) and Membership Functions (MFs) are established by using Crow Search Algorithm (CSA) and an Optimized Adaptive CSA algorithm. The relevant flight length (fl) of each crow in CSA is optimized by Sine Cosine Algorithm (SCA) and is entitled as Sine Cosine Algorithm Optimized Adaptive Crow Search Algorithm (SCAOACSA). The primacy of suggested algorithm over CSA and SCA algorithms is demonstrated by solving 8 benchmark equations. From the comparative results, the SCAOACSA based 2DOF OFAPID controller is corroborated as admirable strategy to shorten the frequency and power deviations of interconnected power system.