Power quality analysis for the distribution systems with a wind power generation system

Hsu, Cheng‐Ting; Korimara, Roman; Cheng, Tsun‐Jen

doi:10.1016/j.compeleceng.2015.09.022

Cited by 19 publications

(10 citation statements)

References 3 publications

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“…wind systems based on simulation results. Hsu et al [56] proposed the impact of wind generation on PQ analysis in DG environment. Steady state voltage ratio, reverse power flow, voltage fluctuation, fault current and harmonics are considered in this paper.…”

Section: A Pq Issues In Integration Of Renewable Energy With Gridmentioning

confidence: 99%

A Critical Analysis of Methodologies for Detection and Classification of Power Quality Events in Smart Grid

et al. 2021

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Recently, power quality (PQ) issues have drawn considerable attention of the researchers due to the increasing awareness of the customers towards power quality. The PQ issues maintain its preeminence because of the significant growth encountered in the smart grid technology, distributed generation, usage of sensitive and power electronic equipments with the integration of renewable energy resources. The IoT and 5G networks technologies have a number of advantages like smart sensor interfacing, remote sensing and monitoring, data transmission at high speed. Due to this, applications of these two are highly adopted in smart grid. The prime focus of the paper is to present an exhaustive survey of detection and classification of power quality disturbances by discussing signal processing techniques and artificial intelligence tools with their respective pros and cons. Further, critical analysis of automatic recognition techniques for the concerned field is posited with the viewpoint of the types of power input signal (synthetic/real/noisy), pre-processing tools, feature selection methods, artificial intelligence techniques and modes of operation (online/offline) as per the reported articles. The present work also elaborates the future scope of the said field for the reader. This paper provides valuable guidelines to the researchers those having interest in the field of PQ analysis and exploring the better methodologies for further improvement. Comprehensive comparisons have been presented with the help of tabular presentations. Although this critical survey cannot be collectively exhaustive, still this survey comprises the most significant works in the concerned paradigm by examining more than 300 research publications.

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Section: A Pq Issues In Integration Of Renewable Energy With Gridmentioning

confidence: 99%

A Critical Analysis of Methodologies for Detection and Classification of Power Quality Events in Smart Grid

et al. 2021

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“…The PQ issues like flicker, harmonics, voltage imbalance, voltage sag, voltage swell and voltage variation ratio, limit the capacity of wind energy penetrated into the grid [4]. Therefore, the PQ assessment provides vital information to decide the levels of RE penetration.…”

Section: Introductionmentioning

confidence: 99%

“…The detection of the PQ disturbances because of the variable nature of environmental factors like solar insolation and wind speed, associated with the hybrid power system is reported in [9]. Hsu et al [4], developed the method for detecting the PQ issues such as steady‐state voltage variations, reverse power flow, flicker, short circuit current and harmonics associated with the wind power generation that is integrated to the practical radial distribution feeder. Mahela and Shaik [10], investigated the PQ disturbances in the distribution system, integrated with the wind energy during the operations of synchronisation, wind generator outage and islanding by utilising discrete wavelet transform (WT).…”

Section: Introductionmentioning

confidence: 99%

Assessment of power quality in the utility grid integrated with wind energy generation

Mahela¹,

Khan

Alhelou

et al. 2020

IET power electron.

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“…As a result, large-scale voltage collapse incidences, which result in power outages over large regions and extensive economic losses, are presently common occurrences all over the world. Moreover, the frequency of these occurrences increases as renewable energy sources are increasingly integrated into power systems owing to the more complex operating conditions associated with their inherently uncertain power generation [1, 2]. The ability of power systems to maintain uniform voltages on all buses after disturbances, which depends on maintaining an appropriate balance between demand and generation, is denoted as voltage stability [3, 4].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive evaluation of voltage stability based on EW-AHP and Fuzzy-TOPSIS

Wang

Yao³

et al. 2019

Heliyon

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Large-scale voltage collapse incidences, which result in power outages over large regions and extensive economic losses, are presently common occurrences worldwide. Therefore, the voltage stability analysis of power systems has become a topic of increasing interest. This paper firstly presents a comprehensive evaluation method for conducting static and transient voltage stability analysis in electric power systems. To overcome the limitations associated with single-index systems in the evaluation of voltage stability, the analysis approach employs a multi-index system with four primary criteria based on separate analysis methods with ten sub-criteria based on individual indices. In addition, this paper proposes a comprehensive method for establishing index weights, which combines the subjective analytic hierarchy process weighting method and the objective entropy weighting method. An innovative index-weight optimization method based on the Lagrange conditioned extreme value is presented and sensitivity analysis is applied to test the robust of the proposed method. Finally, Fuzzy-TOPSIS is employed to rank the voltage buses of a power system as the final results, considering system functionality and proportionality. The results obtained for an actual power grid in Hami City, China demonstrate that the proposed method represents an effective approach for determining the weakest bus in power systems.

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Power quality analysis for the distribution systems with a wind power generation system

Cited by 19 publications

References 3 publications

A Critical Analysis of Methodologies for Detection and Classification of Power Quality Events in Smart Grid

A Critical Analysis of Methodologies for Detection and Classification of Power Quality Events in Smart Grid

Assessment of power quality in the utility grid integrated with wind energy generation

Comprehensive evaluation of voltage stability based on EW-AHP and Fuzzy-TOPSIS

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