Electric Power Quality

Chattopadhyay, Surajit; Mitra, Madhuchhanda; Sengupta, Samarjit

doi:10.1007/978-94-007-0635-4_2

Cited by 39 publications

(28 citation statements)

References 18 publications

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“…As stated in [22], electric power quality is a term that refers to maintaining the near sinusoidal waveform of power distribution bus voltages and currents at rated magnitude and frequency. Thus power quality is often used to express voltage quality, current quality, reliability of service, etc.…”

Section: A Objectivesmentioning

confidence: 99%

Management of Power Quality Issues in Low Voltage Networks Using Electric Vehicles: Experimental Validation

Martinenas

Knezović

Marinelli

2017

IEEE Trans. Power Delivery

113

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Abstract-As Electric Vehicles (EVs) are becoming more wide spread, their high power consumption presents challenges for the residential low voltage networks, especially when connected to long feeders with unevenly distributed loads. However, if intelligently integrated, EVs can also partially solve the existing and future power quality problems. One of the main aspects of the power quality relates to voltage quality. The aim of this work is to experimentally analyse whether series-produced EVs, adhering to contemporary standard and without relying on any V2G capability, can mitigate line voltage drops and voltage unbalances by a local smart charging algorithm based on a droop controller. In order to validate this capability, a low-voltage grid with a share of renewable resources is recreated in SYSLAB PowerLabDK. The experimental results demonstrate the advantages of the intelligent EV charging in improving the power quality of a highly unbalanced grid.

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Section: A Objectivesmentioning

confidence: 99%

Management of Power Quality Issues in Low Voltage Networks Using Electric Vehicles: Experimental Validation

Martinenas

Knezović

Marinelli

2017

IEEE Trans. Power Delivery

113

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“…A shift in filter resonant frequency causes harmonic distortions of the system voltages and currents. These harmonics have been known to affect the accuracy and performance of power system components such as transformers, measuring instruments and power transmission systems [14].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of adaptive notch filter active damping methods for grid-connected converters under a varying grid impedance

Rufa'I

Zhang

Chong

2017

2017 IEEE Manchester PowerTech

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“…Particularly, the integration of renewable energy sources has a substantial influence on power quality by affecting voltage and frequency control [1]- [4]. To overcome this difficulty, the need of a better control strategies for power systems have recently led to the concept of smart-grids [5]. A smart grid uses two-way flows of electricity and information, and computational intelligence in an integrated fashion across the entire spectrum of the energy system from the generation to the end points of electricity consumption [6].…”

Section: Introductionmentioning

confidence: 99%

Disturbances Classification Based on a Model Order Selection Method for Power Quality Monitoring

Oubrahim

Choqueuse

Benbouzid

2017

IEEE Trans. Ind. Electron.

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Abstract-In this paper, a new technique for power quality disturbances classification is proposed. It focuses on voltage sags and swells that are first pre-classified into four classes that depend on the number of non-zero symmetrical components and can contain different types of sag and swell. Using the estimated symmetrical component values, we can afterward classify the corresponding sag or swell signature. In this study, we show that the pre-classification can be reformulated as a pure model order selection problem. To solve this problem, we propose two preclassifiers based on Information Theoretical Criteria. The former yields the highest statistical performances, while the latter has a lower computation complexity. The performances of the proposed classification algorithms are evaluated using Monte Carlo simulations on synthetic signals and using real power system data obtained from the DOE/EPRI National Database of Power System Events. The achieved simulations and experimental results clearly illustrate the effectiveness of the proposed algorithms for voltage sag and swell classification.

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Electric Power Quality

Cited by 39 publications

References 18 publications

Management of Power Quality Issues in Low Voltage Networks Using Electric Vehicles: Experimental Validation

Management of Power Quality Issues in Low Voltage Networks Using Electric Vehicles: Experimental Validation

Performance analysis of adaptive notch filter active damping methods for grid-connected converters under a varying grid impedance

Disturbances Classification Based on a Model Order Selection Method for Power Quality Monitoring

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