PMSG based WECS with MPPT via modified P &amp; O algorithm

Verma, Nishtha; Banerjee, Sandeep; Gupta, Sanchita; Goyal, Siddharth; Sharma, Rahul

doi:10.1109/rdcape47089.2019.8979101

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…The dq transformation that was utilized in the three-Phase of WECS is illustrated through Equation ( 8) [58]. Note that another illustration of the inverse transform is reflected in Equation ( 9) [1], [8], [26], [40], [59]- [64].…”

Section: Modelling Wind Energy Conversion System Based Algorithmsmentioning

confidence: 99%

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: 99%

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

Badawi,

Ali,

M. Elzein

et al. 2024

IJCDS

View full text Add to dashboard Cite

show abstract

“…If the step size is large, it causes power fluctuations; if it is small, the response time of the model to changes in wind speed increases. To address these challenges, hybrid [13][14] , modified [15][16][17][18] , and optimized [19][20] versions of traditional indirect and direct power control algorithms have been presented. These hybrid and modified methods solve challenges associated with conventional algorithms.…”

Section: Introduction1mentioning

confidence: 99%

A Novel Modified Fuzzy-Predictive Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

Akbari,

Shadlu

2023

Chin. J. Electr. Eng.

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A wind energy conversion system (WECS) based on a permanent magnet synchronous generator (PMSG) is an effective solution for renewable energy generation in modern power systems. The main advantages of PMSG include high performance at high and low speeds, minimal control effort owing to lower rotor inertia, self-excitation, high reliability, and simplicity of structure compared with induction generators. However, the intermittent nature of wind energy implies that maximum efficiency is not obtained from this system. Accordingly, maximum power point tracking (MPPT) in wind turbine systems has been proposed to address this problem. Traditional MPPT strategies suffer from severe output power fluctuations, low efficiency, and significant ripples in turbine rotation speed. This paper presents a novel MPPT control strategy based on fuzzy logic control (FLC) and model predictive control (MPC) to extract the maximum power from a PMSG-WECS and control the machine-side and grid-side converters. The simulation results obtained from Matlab/Simulink confirm the superiority of the control model in eliminating the output power fluctuations of the wind generators and accurately tracking the maximum power point. A comparative study between conventional MPPT and control methods is also conducted.

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