Online management and assessment of power quality issues through smart metering in smart grid architecture

Jain, Alok; Bhullar, Suman

doi:10.1016/j.egyr.2022.05.140

Cited by 8 publications

(4 citation statements)

References 21 publications

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“…The paper [14] provides an overview of PQ analysis, compensators, and control technologies under the new SG situation. The importance of AMI in SG architecture for online management and assessment of PQ issues was recently elaborated in [15]. The findings of the large-scale and long-lasting PQ monitoring project in Australia are reported in [16].…”

Section: Literature Reviewmentioning

confidence: 99%

A Zonal Approach for Wide-Area Temporary Voltage Quality Assessment in a Smart Grid

Forcan,

Simović,

Jokić

et al. 2024

Energies

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Wide-area voltage quality assessment represents one of the mandatory objectives for distribution system operators in the development of advanced distribution management systems supporting smart grid requirements. This paper introduces a zonal approach for wide-area temporary voltage quality evaluation in a distribution network. The concept of temporary voltage quality evaluation and assessment is recommended to incentivize active/online management of voltage quality issues. A decision support system based on simple deterministic rules is proposed for rating the voltage quality zones in a distribution network and making recommendations to the distribution system operator. Voltage RMS level, unbalance, and total harmonic distortion are considered voltage quality indices representing the inputs in the decision support system. Residential, commercial, and industrial load types are considered when setting the thresholds for voltage quality indices. The proposed zonal approach for the division of distribution networks in voltage quality zones is applied to the example of a typical European-type distribution network. The operation of a decision support system is tested using the developed distribution smart grid model. The following simulation case studies are conducted: loads with low power factors, manual voltage regulation at MV/LV transformers, unbalanced loads, integration of solar power plant, and nonlinear loads. The obtained simulation results reveal the benefits of the proposed voltage quality assessment approach. Cybersecurity challenges that may impact the proposed approach are addressed, including security vulnerabilities, data privacy, and resilience to cyber threats.

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Section: Literature Reviewmentioning

confidence: 99%

A Zonal Approach for Wide-Area Temporary Voltage Quality Assessment in a Smart Grid

Forcan,

Simović,

Jokić

et al. 2024

Energies

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“…Temporal align layer is a collection of single perceptron layers noted as [ f k ] K k=0 : R Z  → R K×d , where the single perceptron layer is a mapping function f k : R zk  → R d . Subsequently, the temporal aligned MSD output, M is obtained as follows, (6) where M ∈ R K×d and fixed embedding output d = 256 is used.…”

Section: Temporal Align Layermentioning

confidence: 99%

“…These power quality issues may lead to reliability of power delivery, devices malfunctioning, and reduced lifespan of electric components [4]. Hence, power quality monitoring is of paramount importance with addition to future development of smart grids [5,6]. Classification of power quality disturbance is the main feature required in a power monitoring systems.…”

Section: Introductionmentioning

confidence: 99%

Multi-level Signal Decomposition for Power Quality Disturbance Classification

2023

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The introduction of electric vehicles impose large disturbance to the grid-level power signal due to the charging and discharging mechanism. Power signal monitoring in the electrical grid can provide several insights such as power quality disturbance detection, major power consumption area, peak power usage period, and their potential catastrophic failure conditions. As for preventive maintenance purpose, automatic classification of power quality disturbance using a hybrid method incorporating wavelet transform and deep LSTM network is proposed in this paper. Multi-level signal decomposition is applied to input signal to increase the resolution of input decomposing into multiple frequency bands. Subsequently, these multi-level frequency components are fed into deep LSTM layer to further extract useful higher order latent feature. Classification performance of the proposed wavelet-based LSTM (WTLSTM) network is bench-marked with deep LSTM method. Additive white Gaussian noise (AWGN) with signal-to-noise (SNR) levels between 20-50dB are inserted during the training process to increase the generalization of signal learning with the realistic scenarios. The classification performance of both WT-LSTM and Deep LSTM networks are tested with 20,30,40,50dB SNR AWGN and noiseless conditions. As a result, the WT-LSTM network obtains an overall classification performance of 89.77% on 20dB and 99.21% on noiseless condition as compared to Deep LSTM, with 88.48% and 98.54% respectively.

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“…The paper [14] provides an overview of PQ analysis, compensators, and control technologies under the new situation of SG. The importance of AMI in SG architecture for online management and assessment of PQ issues is recently elaborated in [15]. The findings of the large scale and long lasting PQ monitoring project in Australia are reported in [16].…”

Section: Literature Reviewmentioning

confidence: 99%

A Zonal Approach for Wide Area Temporary Voltage Quality Assessment in Smart Grid

Forcan¹,

Simović²,

Jokic³

et al. 2023

Preprint

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Online management and assessment of power quality issues through smart metering in smart grid architecture

Cited by 8 publications

References 21 publications

A Zonal Approach for Wide-Area Temporary Voltage Quality Assessment in a Smart Grid

A Zonal Approach for Wide-Area Temporary Voltage Quality Assessment in a Smart Grid

Multi-level Signal Decomposition for Power Quality Disturbance Classification

A Zonal Approach for Wide Area Temporary Voltage Quality Assessment in Smart Grid

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