Statistical Analysis Based Load Frequency Control of multi-area system with Nonlinearities using 2-DOF-PID controller with Application of Improved Sine-Cosine Algorithm optimizer
{"title":"Statistical Analysis Based Load Frequency Control of multi-area system with Nonlinearities using 2-DOF-PID controller with Application of Improved Sine-Cosine Algorithm optimizer","authors":"N. Gupta, M. M. Kar, Arun Kumar Singh","doi":"10.24200/sci.2023.60059.6574","DOIUrl":null,"url":null,"abstract":"In this article, for load frequency control(LFC) in power system an improved sine-cosine algorithm is proposed with 2-DOF-PID controller. To facilitate the inspection, a multi-area test system(three area) has been developed. Additionally, several physical restrictions have been taken into account while investigating practical power system analysis. For every scenario considered for the experiment, the suggested approach has been employed as the optimizer of parameter of the controller of LFC. 2-DOF-PID controllers has the ability to quickly reject disturbances without noticeably increasing overshoot in set point tracking, have been utilised as the controller of LFC. The PIDF and FOPID controllers has been compare with 2-DOF-PID controller to evaluate the usefulness of it. The simulation results of SCA, SSA, ALO, and PSO are some of the algorithm with which of the proposed modified algorithm were compared, in three distinct scenarios: disturbance in three areas, disturbance in two areas, and the final scenario with physical restrictions. Wilcoxon Sign Rank Test (WSRT) has been use for the statistical analysis and 20 separate times was carried out in order to further prove the supremacy of the suggested strategy.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientia Iranica","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.24200/sci.2023.60059.6574","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, for load frequency control(LFC) in power system an improved sine-cosine algorithm is proposed with 2-DOF-PID controller. To facilitate the inspection, a multi-area test system(three area) has been developed. Additionally, several physical restrictions have been taken into account while investigating practical power system analysis. For every scenario considered for the experiment, the suggested approach has been employed as the optimizer of parameter of the controller of LFC. 2-DOF-PID controllers has the ability to quickly reject disturbances without noticeably increasing overshoot in set point tracking, have been utilised as the controller of LFC. The PIDF and FOPID controllers has been compare with 2-DOF-PID controller to evaluate the usefulness of it. The simulation results of SCA, SSA, ALO, and PSO are some of the algorithm with which of the proposed modified algorithm were compared, in three distinct scenarios: disturbance in three areas, disturbance in two areas, and the final scenario with physical restrictions. Wilcoxon Sign Rank Test (WSRT) has been use for the statistical analysis and 20 separate times was carried out in order to further prove the supremacy of the suggested strategy.
期刊介绍:
The objectives of Scientia Iranica are two-fold. The first is to provide a forum for the presentation of original works by scientists and engineers from around the world. The second is to open an effective channel to enhance the level of communication between scientists and engineers and the exchange of state-of-the-art research and ideas.
The scope of the journal is broad and multidisciplinary in technical sciences and engineering. It encompasses theoretical and experimental research. Specific areas include but not limited to chemistry, chemical engineering, civil engineering, control and computer engineering, electrical engineering, material, manufacturing and industrial management, mathematics, mechanical engineering, nuclear engineering, petroleum engineering, physics, nanotechnology.