Efficient maximum power point tracking in grid connected switched reluctance generator in wind energy conversion system: an enhanced Mayfly Algorithm transient search optimization

Sridharan, Sridha; Prabhu, V. Vasan; Palani, Velmurugan

doi:10.1080/15567036.2021.2008059

Energy Sources, Part A: Recovery, Utilization, and Environmenta

2021

DOI: 10.1080/15567036.2021.2008059

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Efficient maximum power point tracking in grid connected switched reluctance generator in wind energy conversion system: an enhanced Mayfly Algorithm transient search optimization

Sridha Sridharan

V. Vasan Prabhu

Velmurugan Palani

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Cited by 7 publications

(1 citation statement)

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“…[6][7][8][9] Huang et al 10 have presented a reduced order model of DFIG-based wind turbine. In a WECS, Sridharan et al 11 present an effective hybrid approach for tracking the maximum power point. Sophisticated controller techniques that are utilized to augment DFIG's fault ride through capabilities have been discussed in Verma and Dwivedi.…”

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confidence: 99%

Utilization of superconducting magnetic energy storage and doubly fed induction generator for enhancing stability of interconnected power system

Kumar

Mufti

Zargar

2023

Circuit Theory & Apps

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SummaryAs the share of wind power keeps on increasing, the interaction between synchronous and wind generators pose a challenging issue on power system stability. In order to investigate the impact of wind penetration on stability of power system, appropriate modeling of wind energy conversion systems (WECSs) is necessary. Moreover, it is needed to comprehensively study the impact of wind penetration on power system oscillations. This paper presents a didactic approach for integrating a doubly fed induction generator (DFIG)‐based wind farm from SimPower Systems library to a five‐area 68‐bus power system modeled in Simulink. Inter‐area oscillations with and without wind power penetration are investigated for their characteristics. Renewable energy sources are connected to the grid via power electronics converters at the cost of a reduction in inertia. The concept of virtual synchronous generator (VSG) produces virtual inertia by exchanging active power with the power system. The impact of superconducting magnetic energy storage (SMES) and DFIG on enhancing damping performance of inter‐area is investigated. The increase in damping ratios of inter‐area oscillatory modes verifies the enhancement in small signal stability by connecting SMES and DFIG to the power system. The usage of SMES operating in VSG mode to improve the dynamic stability with highly erratic wind profile is also investigated. The developed MATLAB/SIMULINK‐based DFIG model is simple to use and can be expanded to build efficient controllers. The fidelity of the DFIG model and VSG technology is verified in real time by Opal‐RT (OP4510).

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confidence: 99%

Utilization of superconducting magnetic energy storage and doubly fed induction generator for enhancing stability of interconnected power system

Kumar

Mufti

Zargar

2023

Circuit Theory & Apps

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An improved hybrid mayfly algorithm for global optimization

Yan

Yan²,

Wu³

et al. 2022

J Supercomput

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Enhanced Cascaded Converters for Switched Reluctance Motor-Fed Electric Vehicles

Karthick,

Rukkumani

2023

IETE Journal of Research

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Efficient maximum power point tracking in grid connected switched reluctance generator in wind energy conversion system: an enhanced Mayfly Algorithm transient search optimization

Cited by 7 publications

References 47 publications

Utilization of superconducting magnetic energy storage and doubly fed induction generator for enhancing stability of interconnected power system

Utilization of superconducting magnetic energy storage and doubly fed induction generator for enhancing stability of interconnected power system

An improved hybrid mayfly algorithm for global optimization

Enhanced Cascaded Converters for Switched Reluctance Motor-Fed Electric Vehicles

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