Adaptive active fault-tolerant MPPT control of variable-speed wind turbine considering generator actuator failure

Chen, Jian; Yao, Wei; Lu, Qun; Ren, Yaxing; Duan, Wenyong; Kan, Jiarong; Jiang, Lin

doi:10.1016/j.ijepes.2022.108443

Cited by 20 publications

(2 citation statements)

References 39 publications

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“…MPPT algorithm drives the integrated module of wind turbine to the highest and ultimate possible speed denoted and addressed as ω opt for every and single wind potential velocity. As a result of the preceding discussions, we may conclude at this stage that, arriving towards the maximum power point will solely be dependable purely on the MPPT scheme control [71], [72].…”

Section: Modelling Wind Energy Conversion System Based Algorithmsmentioning

confidence: 85%

Performance Evaluation of Incremental Conductance and Adaptive HCS MPPT Algorithms for WECS

Badawi,

Ali,

M. Elzein

et al. 2024

IJCDS

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This paper presents a novel Maximum Power Point Tracking (MPPT) algorithm designed for Wind Energy Conversion Systems (WECS) to achieve optimal power extraction (P max ). The controllers employed in this study utilize a Direct Power Control (DPC) framework to assess efficiency and performance, particularly under uncertain and rapid variations in wind speed profiles. The research aims to evaluate the effectiveness of the Incremental Conductance (INC) and adaptive Hill-Climbing Search (HCS) algorithms for MPPT in WECS under such conditions. The modeling of the WECS system utilizes a Permanent Magnet Synchronous Generator (PMSG) due to its reliability and robustness. Simulation results demonstrate the significant impact of wind speed on rotor speed and electromagnetic torque, highlighting the proportional relationship between wind speed parameters and power output. The controller performance is evaluated using INC and adaptive HCS, with the latter demonstrating superior efficiency under rapid wind speed changes. Additionally, simulation results show that the INC algorithm exhibits rapid tracking capability in approaching the peak maximum power point. Overall, this study provides valuable insights into the performance of MPPT algorithms in WECS, particularly under varying wind conditions.

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Section: Modelling Wind Energy Conversion System Based Algorithmsmentioning

confidence: 85%

Performance Evaluation of Incremental Conductance and Adaptive HCS MPPT Algorithms for WECS

Badawi,

Ali,

M. Elzein

et al. 2024

IJCDS

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show abstract

“…According to research on GWO for Optimum Parameters of Multiple Controllers of a Grid-Connected PMSG Driven by Variable Speed Wind Turbine, GWO offers the best convergence at the smallest value and delivers a better response than MPPT and its capabilities during symmetrical and asymmetrical failures [10], [12]- [14]. The output power produced will be higher when employing MPPT, according to research on optimizing the output power of a wind power production system using a permanent magnet synchronous generator based on a neural network.…”

Section: Related Theorymentioning

confidence: 99%

Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants Using the Gray Wolf Optimization Method

Aurelia¹

2022

FESPE

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Wind is a renewable energy that is expected to meet the availability of energy sources as needed. The electrical power produced by the Permanent Magnet Synchronous Generator at Wind Power Plants in Indonesia is influenced by low wind conditions with wind speeds only ranging from 2.5 to 6 m/s. So that the output voltage can produce optimal power with a low and fluctuating average wind speed, an optimization will be carried out using the Gray Wolf Optimization method which is inspired by the social strata of wolves in hunting their prey. This method works by measuring the voltage and current at the load to get optimal power and maximize the existing power extraction using Maximum Power Point Tracking.

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Fuzzy Adaptive Tuning PI Control Based MPPT Method for Variable Speed Wind Turbine System

Li,

et al. 2023

Lecture Notes in Electrical Engineering

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Adaptive active fault-tolerant MPPT control of variable-speed wind turbine considering generator actuator failure

Cited by 20 publications

References 39 publications

Performance Evaluation of Incremental Conductance and Adaptive HCS MPPT Algorithms for WECS

Performance Evaluation of Incremental Conductance and Adaptive HCS MPPT Algorithms for WECS

Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants Using the Gray Wolf Optimization Method

Fuzzy Adaptive Tuning PI Control Based MPPT Method for Variable Speed Wind Turbine System

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