{"title":"Experimental study and control strategy of wind-driven DFIG and solar PV for sustainable power generation","authors":"Sekhar Nindra , Ravulakari kalyan , Venkatesh Boddapati , Kumaresan Natarajan","doi":"10.1016/j.compeleceng.2026.111027","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a hybrid wind–solar energy system integrating A Doubly-Fed Induction Generator (DFIG) with solar Photovoltaic (PV) modules through a boost converter–battery–inverter interface. A closed-loop control strategy, implemented on a Field Programmable Gate Array (FPGA) (Altium Nanoboard 3000), ensures stable stator voltage and frequency for isolated load operation. Reactive power compensation is achieved via a 2 kVAR capacitor at the stator side. The solar PV subsystem features a current-sensor-based Maximum Power Point Tracking (MPPT) algorithm using the Converter Output Current Based (COCB) method, which operates independently of panel parameters and switches to constant voltage mode when the battery is fully charged. Hardware tests with a solar simulator and real panels confirm improved tracking accuracy and reduced oscillations over conventional approaches. Experimental validation confirms the system’s reliability and adaptability under varying conditions, highlighting its potential for efficient energy management in standalone applications. Results verified its effectiveness, achieving a Total Harmonic Distortion (THD) below 3% and exhibiting rapid dynamic performance.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"132 ","pages":"Article 111027"},"PeriodicalIF":4.9000,"publicationDate":"2026-04-01","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/S0045790626000996","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a hybrid wind–solar energy system integrating A Doubly-Fed Induction Generator (DFIG) with solar Photovoltaic (PV) modules through a boost converter–battery–inverter interface. A closed-loop control strategy, implemented on a Field Programmable Gate Array (FPGA) (Altium Nanoboard 3000), ensures stable stator voltage and frequency for isolated load operation. Reactive power compensation is achieved via a 2 kVAR capacitor at the stator side. The solar PV subsystem features a current-sensor-based Maximum Power Point Tracking (MPPT) algorithm using the Converter Output Current Based (COCB) method, which operates independently of panel parameters and switches to constant voltage mode when the battery is fully charged. Hardware tests with a solar simulator and real panels confirm improved tracking accuracy and reduced oscillations over conventional approaches. Experimental validation confirms the system’s reliability and adaptability under varying conditions, highlighting its potential for efficient energy management in standalone applications. Results verified its effectiveness, achieving a Total Harmonic Distortion (THD) below 3% and exhibiting rapid dynamic performance.
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.