Self-tuning Fuzzy-PI controller for load frequency control analysis with the integration of wind energy
Self-tuning Fuzzy-PI controller for load frequency control analysis with the integration of wind energy
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DOI：
10.1080/15567036.2022.2049928
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发表时间：
2022-03-31
影响因子：
2.9
通讯作者：
Kar, Sanjeeb Kumar
中科院分区：
文献类型：
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作者：
Padhi, Jyoti Ranjan;Debnath, Manoj Kumar;Kar, Sanjeeb Kumar
针对多机组联合系统的负荷频率控制问题，提出了一种最优新型自校正模糊PI(STFPI)控制器。利用基于准对立面的Jaya(QOB Jaya)算法找到了该STFPI控制器的最优约束条件。研究是在一个两区多代联合系统上进行的。所研究的模型同时考虑了可再生能源(风能)和常规能源(火力发电、柴油发电和水力发电)。通过(I)改变负荷大小，(Ii)改变所设计系统的约束条件，(Iii)向电力系统注入任意负荷，证实了所提出的控制器的有效性。推导出QOB Jaya整定STFPI控制器的目标函数(积分时间绝对误差)比PSO整定的PID控制器、QOB Jaya整定的FPI控制器和Jaya整定的STFPI控制器分别提高了95.44%、85.17%和50%。通过将模糊PI控制器的响应与PSO(粒子群优化)整定的PID(比例积分导数)控制器的响应进行比较，证明了投影控制器的优越性。
Optimal novel Self-tuning Fuzzy-PI (STFPI) controller has been introduced to analyze the LFC (Load Frequency Control) in a multi-unit unified system. The finest constraints of this suggested STFPI controller are found using quasi-opposition-based Jaya (QOB Jaya) algorithm. The investigation is performed over a two area multi-generation unified system. The examined model considers both renewable-type (wind) and conventional-type (thermal, diesel, & hydro) generating sources. The efficacy of the proposed controller is confirmed by (i) varying the size of loading, (ii) changing the constraints of designed system, and (iii) injecting arbitrary loading into the power system. It has been derived that the value of the objective function (Integral Time Absolute Error) with QOB Jaya tuned STFPI controller is improved by 95.44%, 85.17%, and 50% as compared to PSO-tuned PID Controller, QOB Jaya-tuned FPI Controller, and Jaya-tuned STFPI Controller, respectively. The supremacy of the projected controller is proved by doing comparisons among the responses of fuzzy-PI controller and a pre-published outcome such as PSO (particle swarm optimization) tuned PID (proportional-integral-derivative) controller.