Implementation of state-wide power quality monitoring and analysis system in China

Wang, Tongxun; Li, Yaqiong; Deng, Zhanfeng; Liu, Yingying; Li, Yi; Tan, Margaret; An, Zhe

doi:10.1109/pesgm.2018.8585795

Cited by 9 publications

(5 citation statements)

References 1 publication

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“…A number of waveform recordings with duration of six to ten seconds and with sampling rate of 10 kHz are used to verify the effectiveness of the proposed method. The measurements are made using on-site monitoring terminals and be obtained through a power quality monitoring system [24]. Figure 8 shows the comparisons between the harmonic current of two monitoring sites, located in converter transformer and AC network side separately.…”

Section: Experimental Results For Field Datamentioning

confidence: 99%

“…However, since small-current excitation into the system is required in small-signal impedance modeling, it is difficult to be applied widely due to its practical complexity and costs. Furthermore, as the power quality monitoring system is implemented in many countries [24], the field measurements of voltage and current are quite available. Therefore, identification of Norton parameters using measurements is a practical method.…”

Section: Introductionmentioning

confidence: 99%

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Coupled Harmonic Admittance Identification Based on Least Square Estimation

Deng

Wang

et al. 2018

Energies

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Norton equivalent circuit is a commonly used model in estimating harmonic current emissions of harmonic sources. It however cannot reflect the mutual coupling relationships among voltage and current in different harmonic orders. This paper proposes a new method to identify parameters in a coupled harmonic admittance model. The proposed method is conducted using voltage and current measurements and is based on least square estimation technique. The effectiveness of the method is verified through time-domain simulations for a grid-connected converter and also through field data obtained from a ±800 kV converter station. The experimental results showed that the proposed method presents higher accuracy in terms of harmonic current emission estimation compared with three Norton-base methods.

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Section: Experimental Results For Field Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Coupled Harmonic Admittance Identification Based on Least Square Estimation

Deng

Wang

et al. 2018

Energies

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“…The dictionary serves as the transformation domain in this process. The expression of this process is Equation (5).…”

Section: Missing Data Filling Methods Based On K-svd 21 Introduction ...mentioning

confidence: 99%

“…Raw data collected from meters may have quality problems such as missing, abnormality, duplicated records, etc. Such situations can affect the accuracy of data mining results, leading to inappropriate data analysis and decision making [4][5][6]. It is necessary to deal with missing or abnormal data as the first step of preprocessing to improve data quality, as well as data analysis.…”

Section: Introductionmentioning

confidence: 99%

A Filling Method Based on K-Singular Value Decomposition (K-SVD) for Missing and Abnormal Energy Consumption Data of Buildings

Su,

Liu,

Ling

et al. 2024

Buildings

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Massive data can be collected from meters to analyze the energy use behavior and detect the operation problems of buildings. However, missing and abnormal data often occur for the raw data. Effective data filling and smoothing methods are required to improve data quality before conducting the analysis. This paper introduces a data filling method based on K-SVD. The complete dictionary is trained and then utilized to reconstruct incomplete samples to fill the missing or abnormal data. The impacts of the dictionary size, the data missing continuity, and the sample size on the performance of the proposed method are studied. The results show that a smaller dictionary size is recommended considering the computational complexity and accuracy. The K-SVD method outperforms traditional methods, showing a reduction in the MAPE and CVRMSE by 3.8–5.4% and 6.7–87.8%. The proposed K-SVD filling method performs better for non-consecutive missing data, with an improvement in the MAPE and CVRMSE by 0.1–4% and 5.1–6.7%. Smaller training samples are recommended. The method proposed in this study would provide an effective solution for data preprocessing in building and energy systems.

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“…Thus, it can cause increases in network tariffs to mitigate these disturbances if not monitored well [34]. Many studies have developed a method for monitoring the PQ including harmonic distortion [32,[35][36][37][38][39][40][41][42][43][44]; thus, there is a gap to monitor and manage harmonics as early as the planning phase and include the harmonic limits in contract agreements.…”

Section: Introductionmentioning

confidence: 99%

A Proposed Harmonic Monitoring System for Large Power Users Considering Harmonic Limits

2020

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Most power utilities within Southern Africa are faced with the challenges of harmonic distortion due to the high penetration of renewable energy sources (RES) and the use of electronic devices. There is an excessive total harmonic distortion (THD) measured at the point of common coupling (PCC). In this paper, a proposed harmonic monitoring system for large power users (LPUs) is developed. This proposed system considers harmonic limits of the individual and THD of the customers allowed injecting into the network, which should be part of the contractual electricity supply agreement (ESA). Hence, it will enable the monitoring of harmonic distortion to be smooth by determining whether the customer has passed or failed compliance for individual harmonic order and the THD of the voltage. The measurements of harmonic distortion are done using the Unipower power quality (PQ) analyzers that are connected at different points within the industrial network. Measurements of harmonic distortion of an industrial site are compared to the simulation results performed by DIgSILENT software to validate the proposed harmonic monitoring system. Based on the validation results, it is recommended that the ESA between the power utilities and the customers should consist of the harmonic limits.

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Implementation of state-wide power quality monitoring and analysis system in China

Cited by 9 publications

References 1 publication

Coupled Harmonic Admittance Identification Based on Least Square Estimation

Coupled Harmonic Admittance Identification Based on Least Square Estimation

A Filling Method Based on K-Singular Value Decomposition (K-SVD) for Missing and Abnormal Energy Consumption Data of Buildings

A Proposed Harmonic Monitoring System for Large Power Users Considering Harmonic Limits

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