Robust Control and Kalman MPPT for Grid-Assimilated Wind Energy Conversion System

Buduma, Parusharamulu; Vulisi, Narendra Kumar; Panda, Gayadhar

doi:10.1109/tia.2020.3047585

Cited by 20 publications

(10 citation statements)

References 24 publications

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“…So far, various algorithms have been introduced for ANN that are used for applications such as regression, classification, and pattern recognition in various scientific and industrial fields. Applications such as maximum power point tracking (MPPT) control for wind power conversion systems [95], optimal and intelligent control in power electronic converters [96]- [99], intelligent controller for light emitting diode (LED) [100], [101], remaining useful life estimation for super-capacitors [102], and the identification of a variety of anomalies are considered to be the capabilities of ANN algorithms in PESs. A valuable review paper [15], fully introduces and reviews the applications of neural networks in PESs.…”

Section: B Artificial Neural Network (Ann)mentioning

confidence: 99%

Data Mining Applications to Fault Diagnosis in Power Electronic Systems: A Systematic Review

Moradzadeh

Mohammadi‐Ivatloo

Pourhossein

et al. 2022

IEEE Trans. Power Electron.

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Section: B Artificial Neural Network (Ann)mentioning

confidence: 99%

Data Mining Applications to Fault Diagnosis in Power Electronic Systems: A Systematic Review

Moradzadeh

Mohammadi‐Ivatloo

Pourhossein

et al. 2022

IEEE Trans. Power Electron.

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“…Next, without knowing the upper limits of the system uncertainties in advance, an adaptive fixedtime controller was presented for implementing optimum rotation speed tracking for MPPT. In [126], Buduma et al introduced a robust new control and Kalman filter for a gridconnected WECS for controlling the reactive and real power. The proposed Kalman filter based MPPT was developed for high gain boost converter that improves the performance of maximum power tracking.…”

Section: Recent Mppt Algorithmsmentioning

confidence: 99%

“…For fixed reserve control, a constant amount of real power is reserved. The level of the reserve margin depends on the magnitude of the prevailing wind speed, the wind speed prediction accuracy, and the upper permissible limit of the variable speed wind turbine rotor speed [125][126][127][128]. The primary frequency control of WECS is similar to that of a traditional generator, which normally within a few tens of seconds is activated and continued for up to 15 min as soon as the deviation of grid frequency exceeds the permitted threshold.…”

Section: Frequency Controllermentioning

confidence: 99%

Recent Trends in Wind Energy Conversion System with Grid Integration Based on Soft Computing Methods: Comprehensive Review, Comparisons and Insights

Mostafa

El-Hay

Elkholy

2022

Arch Computat Methods Eng

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Wind energy is an effective and promising renewable energy source to produce electrical energy. Wind energy conversion systems (WECS) have been developing on a wide scale worldwide. The expansion of wind energy demand tends to produce high-quality output power in terms of grid integration. Due to the intermittent nature of wind energy, great challenges are found regarding WECS modeling, control, and grid integration. This paper introduces a comprehensive review of WECS and their grid-interface systems based on soft computing methods. To achieve this aim, more than 300 articles are organised and only 160 papers are presented in this review. This is intended to cover a broad range of topics concerning the configurations of WECS, electrical generators, and various topologies of power converters used for control and grid integration. Furthermore, international grid codes for wind energy integration with electric grids, particularly frequency, power factor, and low voltage ride through (LVRT) capability are investigated. The major controller approaches and topologies for grid and generator converters are discussed. Different aspects of modern control of WECS are introduced either for grid-side or generator-side. Moreover, control strategies for maximum power point tracking methods are compared along with methods of frequency control. This review paper introduces a comprehensive and a useful summery for the recent work in literature regarding WECS. Detailed modelling, control, and grid integration along with comparisons and discussion are introduced.

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“…Compared with other energies, wind energy has the advantages like higher efficient and costeffective, the installation areas of which can be off-shore and on-shore. Recently, the integration of wind energy and power grid becomes popular and has been used widely [4], [5], [6].…”

mentioning

confidence: 99%

Sampled Memory-Event-Triggered Fuzzy Load Frequency Control for Wind Power Systems Subject to Outliers and Transmission Delays

Yan

Park

et al. 2023

IEEE Trans. Cybern.

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This study is devoted to event-triggered fuzzy load frequency control (LFC) for wind power systems (WPSs) with measurement outliers and transmission delays. Due to the integration of wind turbine (WT) with nonlinearity, the T-S fuzzy model of WPS is established for stability analysis and controller design. To mitigate the network burden, a new sampled memoryevent-triggered mechanism (SMETM) related to historical system information is presented. It has the following two merits: 1) the utilization of continuous memory outputs over a given interval is useful to reduce the information loss in the period of samples and the redundant triggering events induced by disturbances and noises and 2) an extra upper constraint is added in the triggering condition to generate a new event only when the error signal belongs to a bounded range, thus, the false events caused by measurement outliers can be differentiated out and then be dropped. By representing the memory signal with transmission delay as a time-varying distributed delay term, a T-S fuzzy time-varying distributed delay system is built up to model the H ∞ LFC WPS. With the help of the Lyapunov method and the integral inequality relying on distributed delay, some criteria are derived to solve the triggering matrix and fuzzy controllers. Finally, the merits of the proposed SMETM are tested by simulation results.

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Robust Control and Kalman MPPT for Grid-Assimilated Wind Energy Conversion System

Cited by 20 publications

References 24 publications

Data Mining Applications to Fault Diagnosis in Power Electronic Systems: A Systematic Review

Data Mining Applications to Fault Diagnosis in Power Electronic Systems: A Systematic Review

Recent Trends in Wind Energy Conversion System with Grid Integration Based on Soft Computing Methods: Comprehensive Review, Comparisons and Insights

Sampled Memory-Event-Triggered Fuzzy Load Frequency Control for Wind Power Systems Subject to Outliers and Transmission Delays

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