{"title":"利用模糊PID DSTACOM和混合MPPT优化风能集成以降低谐波失真","authors":"Shinagam Rajshekar, Lalit Chandra Saikia, Lavanya Nandyala","doi":"10.1016/j.compeleceng.2025.110391","DOIUrl":null,"url":null,"abstract":"<div><div>Wind Energy Conversion Systems (WECS) play a crucial role in renewable energy generation but face challenges such as fluctuating wind speeds and grid instability, leading to power quality issues and voltage fluctuations. This study proposes an advanced integration of a wind-connected grid with a Battery Energy Storage System (BESS), optimized through a fuzzy PID-controlled DSTATCOM and a hybrid Maximum Power Point Tracking (MPPT) algorithm combining Perturb and Observe (P&O) with Incremental Conductance (InCon). The fuzzy PID-controlled DSTATCOM provides dynamic reactive power compensation, stabilizes voltage, and mitigates harmonic distortions, while the BESS ensures efficient energy storage and dispatch under varying wind conditions. Simulation results demonstrate a significant reduction in Total Harmonic Distortion (THD), with the DFIG current THD peaking at 10 % before stabilization, while grid and load currents were reduced to below 0.15 % and 0.02 %, respectively. The findings confirm that the proposed system enhances power extraction, minimizes harmonic distortions, and improves grid stability. These results suggest that the developed methodology provides a robust and efficient solution for integrating wind energy into modern smart grids.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"124 ","pages":"Article 110391"},"PeriodicalIF":4.0000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing wind energy integration with fuzzy PID DSTACOM and hybrid MPPT for reduced harmonic distortion\",\"authors\":\"Shinagam Rajshekar, Lalit Chandra Saikia, Lavanya Nandyala\",\"doi\":\"10.1016/j.compeleceng.2025.110391\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Wind Energy Conversion Systems (WECS) play a crucial role in renewable energy generation but face challenges such as fluctuating wind speeds and grid instability, leading to power quality issues and voltage fluctuations. This study proposes an advanced integration of a wind-connected grid with a Battery Energy Storage System (BESS), optimized through a fuzzy PID-controlled DSTATCOM and a hybrid Maximum Power Point Tracking (MPPT) algorithm combining Perturb and Observe (P&O) with Incremental Conductance (InCon). The fuzzy PID-controlled DSTATCOM provides dynamic reactive power compensation, stabilizes voltage, and mitigates harmonic distortions, while the BESS ensures efficient energy storage and dispatch under varying wind conditions. Simulation results demonstrate a significant reduction in Total Harmonic Distortion (THD), with the DFIG current THD peaking at 10 % before stabilization, while grid and load currents were reduced to below 0.15 % and 0.02 %, respectively. The findings confirm that the proposed system enhances power extraction, minimizes harmonic distortions, and improves grid stability. These results suggest that the developed methodology provides a robust and efficient solution for integrating wind energy into modern smart grids.</div></div>\",\"PeriodicalId\":50630,\"journal\":{\"name\":\"Computers & Electrical Engineering\",\"volume\":\"124 \",\"pages\":\"Article 110391\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-04-26\",\"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/S0045790625003349\",\"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/S0045790625003349","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}
Optimizing wind energy integration with fuzzy PID DSTACOM and hybrid MPPT for reduced harmonic distortion
Wind Energy Conversion Systems (WECS) play a crucial role in renewable energy generation but face challenges such as fluctuating wind speeds and grid instability, leading to power quality issues and voltage fluctuations. This study proposes an advanced integration of a wind-connected grid with a Battery Energy Storage System (BESS), optimized through a fuzzy PID-controlled DSTATCOM and a hybrid Maximum Power Point Tracking (MPPT) algorithm combining Perturb and Observe (P&O) with Incremental Conductance (InCon). The fuzzy PID-controlled DSTATCOM provides dynamic reactive power compensation, stabilizes voltage, and mitigates harmonic distortions, while the BESS ensures efficient energy storage and dispatch under varying wind conditions. Simulation results demonstrate a significant reduction in Total Harmonic Distortion (THD), with the DFIG current THD peaking at 10 % before stabilization, while grid and load currents were reduced to below 0.15 % and 0.02 %, respectively. The findings confirm that the proposed system enhances power extraction, minimizes harmonic distortions, and improves grid stability. These results suggest that the developed methodology provides a robust and efficient solution for integrating wind energy into modern smart grids.
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.