Direct Power Control of DFIG Based Wind Energy System Using MPPT with Fuzzy Logic Control

This paper presents direct power control (DPC) method of doubly fed induction generator (DFIG) for wind energy conversion-based system. Fuzzy Logic Control (FLC) technique is applied with DPC to improve the dynamic response of the generator and mitigate the ripple present in active power. DPC technique along with space vector modulation provides constant switching frequency. Additionally, the Perturb & Observe (P&O) method of Maximum Power Point Tracking (MPPT) is utilized to maximize the output electrical power. Stator active and reactive power errors are taken as input to the fuzzy system and voltage vector is optimally taken as a defuzzified output. In this paper, the performance of DPC of grid connected DFIG is investigated for different wind speed conditions using FLC & MPPT method and is simulated in Matlab Simulink.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/upcon62832.2024.10983391
Citations
1
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Direct Power Control of DFIG Based Wind Energy System Using MPPT with Fuzzy Logic Control

Ravindra Kumar Singh, Anshul Agarwal, Sachhidanand Veer Savarkar, Nikhil Agrawal
1 citations
Wind Turbine Control Systems
0.21
article

Direct Power Control of DFIG Based Wind Energy System Using MPPT with Fuzzy Logic Control

Ravindra Kumar Singh, Anshul Agarwal, Sachhidanand Veer Savarkar, Nikhil Agrawal
article en
1 citations

Abstract

This paper presents direct power control (DPC) method of doubly fed induction generator (DFIG) for wind energy conversion-based system. Fuzzy Logic Control (FLC) technique is applied with DPC to improve the dynamic response of the generator and mitigate the ripple present in active power. DPC technique along with space vector modulation provides constant switching frequency. Additionally, the Perturb & Observe (P&O) method of Maximum Power Point Tracking (MPPT) is utilized to maximize the output electrical power. Stator active and reactive power errors are taken as input to the fuzzy system and voltage vector is optimally taken as a defuzzified output. In this paper, the performance of DPC of grid connected DFIG is investigated for different wind speed conditions using FLC & MPPT method and is simulated in Matlab Simulink.

Babasaheb Bhimrao Ambedkar University (IN), Motilal Nehru National Institute of Technology (IN), National Institute of Technology Delhi (IN)
Affordable and clean energy
Openalex Percentile: Top 43%
Wind Turbine Control Systems
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.