SMES and TCSC Coordinated Strategy for Multi-area Multi-source System with Water Cycle Algorithm Based 3DOF-PID Controller

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES

Smart Science Pub Date : 2022-03-21 DOI:10.1080/23080477.2022.2054199

Ch. Naga Sai Kalyan, B. S. Goud, Ch. Rami Reddy, M. Bajaj, G. Rao

{"title":"SMES and TCSC Coordinated Strategy for Multi-area Multi-source System with Water Cycle Algorithm Based 3DOF-PID Controller","authors":"Ch. Naga Sai Kalyan, B. S. Goud, Ch. Rami Reddy, M. Bajaj, G. Rao","doi":"10.1080/23080477.2022.2054199","DOIUrl":null,"url":null,"abstract":"ABSTRACT This paper attempted to assess the supremacy of designed higher-order degree of freedom (DOF) proportional(P)-integral(I)-derivative(D) (PID) (3DOF-PID) controller making use of a new meta-heuristic optimization approach of water cycle algorithm (WCA) in the study of load frequency control. For this, two test system models of dual area hydro-thermal system system and multiarea multisource systems are believed for investigative purposes. The investigation is performed by imparting the area-1 of test system models with a disturbance of 10% step load (10%SLP). Parameters of 3DOF-PID are rendered optimally over the index of integral square error. Efficacy of the presented 3DOF-PID regulator fine-tuned with WCA is demonstrated with other control schemes that have been implemented on the same test systems. Moreover, superconducting magnetic energy storage and Thyristor controlled series compensator territorial schema is implemented for the MSMA system for performance enhancement. Finally, the robustness of the presented approach is demonstrated through sensitivity analysis. Graphical abstract","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23080477.2022.2054199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}

引用次数: 8

Abstract

ABSTRACT This paper attempted to assess the supremacy of designed higher-order degree of freedom (DOF) proportional(P)-integral(I)-derivative(D) (PID) (3DOF-PID) controller making use of a new meta-heuristic optimization approach of water cycle algorithm (WCA) in the study of load frequency control. For this, two test system models of dual area hydro-thermal system system and multiarea multisource systems are believed for investigative purposes. The investigation is performed by imparting the area-1 of test system models with a disturbance of 10% step load (10%SLP). Parameters of 3DOF-PID are rendered optimally over the index of integral square error. Efficacy of the presented 3DOF-PID regulator fine-tuned with WCA is demonstrated with other control schemes that have been implemented on the same test systems. Moreover, superconducting magnetic energy storage and Thyristor controlled series compensator territorial schema is implemented for the MSMA system for performance enhancement. Finally, the robustness of the presented approach is demonstrated through sensitivity analysis. Graphical abstract

查看原文本刊更多论文

基于3DOF-PID控制器的多区域水源系统SMES和TCSC协调策略

摘要本文试图利用水循环算法的一种新的元启发式优化方法来评估设计的高阶自由度比例（P）-积分（I）-微分（D）（PID）控制器在负载频率控制研究中的优越性。为此，本文提出了双区域水热系统和多区域多源系统两种测试系统模型，以供研究之用。通过给予具有10%阶跃载荷（10%SLP）扰动的测试系统模型的区域-1来进行研究。3DOF-PID的参数在积分平方误差的索引上被最佳地呈现。用WCA微调的3DOF-PID调节器的有效性通过在相同测试系统上实施的其他控制方案得到了证明。此外，为了提高MSMA系统的性能，实现了超导磁储能和晶闸管控制的串联补偿器区域方案。最后，通过灵敏度分析验证了该方法的稳健性。图形摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Smart Science Engineering-Engineering (all)

CiteScore

4.70

自引率

4.30%

发文量

期刊介绍： Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials