{"title":"利用 STATCOM-SMES 增强多机电力系统稳定性:一种软计算方法","authors":"Sahil Kumar, Anil Kumar Dahiya","doi":"10.1016/j.compeleceng.2024.109878","DOIUrl":null,"url":null,"abstract":"<div><div>The increasing complexity and increasing mismatch between supply and demand within modern power systems necessitate advanced methods for ensuring system stability and reliable operation. This article investigates the enhancement of transient stability in a multi-machine power system through the integration of Flexible AC Transmission Systems (FACTS) devices, specifically a Static Synchronous Compensator (STATCOM) combined with energy storage. Leveraging soft computing techniques such as Fuzzy Logic Controllers (FLC) and Artificial Neural Networks (ANN), this study evaluates the performance improvements in transient stability. The methodology involves modeling a multi-machine power system, implementing STATCOM-SMES configurations, and designing FLC and ANN controllers to dynamically support system stability. Simulations are conducted using MATLAB/Simulink, applying a three-phase to ground fault to assess the system's transient response. Performance metrics such as peak overshoot, settling time, and damping ratio are analyzed to compare the effectiveness of the proposed techniques. The results demonstrate significant improvements in transient stability with the application of FLC and ANN controlled STATCOM-SMES systems. This study underscores the potential of integrating soft computing techniques with FACTS devices to enhance the dynamic performance and resilience of power systems, contributing valuable insights for future research and practical applications in power system stability.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109878"},"PeriodicalIF":4.0000,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing Multi-Machine Power System Stability with STATCOM-SMES: A Soft Computing Approach\",\"authors\":\"Sahil Kumar, Anil Kumar Dahiya\",\"doi\":\"10.1016/j.compeleceng.2024.109878\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The increasing complexity and increasing mismatch between supply and demand within modern power systems necessitate advanced methods for ensuring system stability and reliable operation. This article investigates the enhancement of transient stability in a multi-machine power system through the integration of Flexible AC Transmission Systems (FACTS) devices, specifically a Static Synchronous Compensator (STATCOM) combined with energy storage. Leveraging soft computing techniques such as Fuzzy Logic Controllers (FLC) and Artificial Neural Networks (ANN), this study evaluates the performance improvements in transient stability. The methodology involves modeling a multi-machine power system, implementing STATCOM-SMES configurations, and designing FLC and ANN controllers to dynamically support system stability. Simulations are conducted using MATLAB/Simulink, applying a three-phase to ground fault to assess the system's transient response. Performance metrics such as peak overshoot, settling time, and damping ratio are analyzed to compare the effectiveness of the proposed techniques. The results demonstrate significant improvements in transient stability with the application of FLC and ANN controlled STATCOM-SMES systems. This study underscores the potential of integrating soft computing techniques with FACTS devices to enhance the dynamic performance and resilience of power systems, contributing valuable insights for future research and practical applications in power system stability.</div></div>\",\"PeriodicalId\":50630,\"journal\":{\"name\":\"Computers & Electrical Engineering\",\"volume\":\"120 \",\"pages\":\"Article 109878\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Electrical Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0045790624008048\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790624008048","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
摘要
现代电力系统日趋复杂,供需失配日益严重,因此需要采用先进的方法来确保系统的稳定性和可靠运行。本文研究了通过集成柔性交流输电系统(FACTS)设备,特别是结合储能的静态同步补偿器(STATCOM)来增强多机电力系统的暂态稳定性。本研究利用模糊逻辑控制器 (FLC) 和人工神经网络 (ANN) 等软计算技术,对瞬态稳定性的性能改进进行了评估。该方法涉及多机电力系统建模、STATCOM-SMES 配置的实施以及 FLC 和 ANN 控制器的设计,以动态支持系统的稳定性。使用 MATLAB/Simulink 进行仿真,应用三相对地故障评估系统的瞬态响应。分析了峰值过冲、稳定时间和阻尼比等性能指标,以比较所提技术的有效性。结果表明,应用 FLC 和 ANN 控制 STATCOM-SMES 系统后,瞬态稳定性有了明显改善。这项研究强调了将软计算技术与 FACTS 设备相结合以提高电力系统动态性能和恢复能力的潜力,为电力系统稳定性的未来研究和实际应用提供了宝贵的见解。
Enhancing Multi-Machine Power System Stability with STATCOM-SMES: A Soft Computing Approach
The increasing complexity and increasing mismatch between supply and demand within modern power systems necessitate advanced methods for ensuring system stability and reliable operation. This article investigates the enhancement of transient stability in a multi-machine power system through the integration of Flexible AC Transmission Systems (FACTS) devices, specifically a Static Synchronous Compensator (STATCOM) combined with energy storage. Leveraging soft computing techniques such as Fuzzy Logic Controllers (FLC) and Artificial Neural Networks (ANN), this study evaluates the performance improvements in transient stability. The methodology involves modeling a multi-machine power system, implementing STATCOM-SMES configurations, and designing FLC and ANN controllers to dynamically support system stability. Simulations are conducted using MATLAB/Simulink, applying a three-phase to ground fault to assess the system's transient response. Performance metrics such as peak overshoot, settling time, and damping ratio are analyzed to compare the effectiveness of the proposed techniques. The results demonstrate significant improvements in transient stability with the application of FLC and ANN controlled STATCOM-SMES systems. This study underscores the potential of integrating soft computing techniques with FACTS devices to enhance the dynamic performance and resilience of power systems, contributing valuable insights for future research and practical applications in power system stability.
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.