Articles de revues sur le sujet « POWER QUALITY ANALYSIS »

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1

Mohammadha Hussaini, M., et R. Anita. « Power Quality Analysis in Wind Power Generation Using Sliding Mode Control ». International Journal of Engineering and Technology 2, no 5 (2010) : 481–85. http://dx.doi.org/10.7763/ijet.2010.v2.168.

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Panin, Victor,, et Svetlana P. ,. Savich. « ANALYSIS OF POWER QUALITY SOLAR POWER ». ELECTRICAL AND COMPUTER SYSTEMS 25, no 101 (10 mai 2017) : 193–98. http://dx.doi.org/10.15276/eltecs.25.101.2017.23.

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Adapa, R. « Power quality analysis software ». IEEE Power Engineering Review 22, no 2 (2002) : 20–21. http://dx.doi.org/10.1109/39.981337.

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Andrievskaya, N. V., et N. V. Pavlov. « ANALYSIS OF POWER QUALITY INDICATORS ». Scientific and Technical Volga region Bulletin 7, no 4 (août 2017) : 93–95. http://dx.doi.org/10.24153/2079-5920-2017-7-4-93-95.

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., Swarupa N. « POWER QUALITY ANALYSIS USING LABVIEW ». International Journal of Research in Engineering and Technology 03, no 09 (25 septembre 2014) : 322–31. http://dx.doi.org/10.15623/ijret.2014.0309051.

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Saravanan, Ragavan, et P. S. Manoharan. « Performance Analysis of Unified Power Quality Conditioner for Power Quality Improvement ». Applied Mechanics and Materials 573 (juin 2014) : 690–95. http://dx.doi.org/10.4028/www.scientific.net/amm.573.690.

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The Unified Power Quality Conditioner plays an important role in the constrained delivery of electrical power from a source to an isolated pool of load or from a source to the grid. This article is presented new control approaches for both series and shunt inverter. The proposed control algorithm for series and shunt converters based on FLC and synchronous reference frame theory respectively. The proposed approach eliminates the total harmonic distortions (THD) efficiently, and mitigates sag and swell present in the linear and nonlinear loads.
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Barros, Julio, Daniel Cando et Iker Durana. « A Laboratory for Power Quality Analysis ». International Journal of Electrical Engineering & ; Education 38, no 3 (juillet 2001) : 210–22. http://dx.doi.org/10.7227/ijeee.38.3.3.

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This paper describes a laboratory designed for electrical power quality analysis. Among the different types of disturbances in voltage supply that the laboratory allows us to generate are harmonics, voltage dips and short interruptions in voltage supply, voltage imbalance and frequency deviations. Using this laboratory we can test software for analysis, detection and classification of power quality disturbances and also study their effects on equipment.
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Dash, P. K., B. K. Panigrahi et G. Panda. « Power quality analysis using s-transform ». IEEE Transactions on Power Delivery 18, no 2 (avril 2003) : 406–11. http://dx.doi.org/10.1109/tpwrd.2003.809616.

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Peeran, S., T. Barclay, K. Sanborn, R. Schnorr von Carolsfeld et M. Shields. « Fault analysis through power quality metering ». IEEE Industry Applications Magazine 5, no 2 (1999) : 28–31. http://dx.doi.org/10.1109/2943.750389.

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Dash, P. E. K., B. K. Panigrahi et G. Panda. « Power Quality Analysis Using S-Transform ». IEEE Power Engineering Review 22, no 7 (juillet 2002) : 60. http://dx.doi.org/10.1109/mper.2002.4312414.

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İlhan ; ERDENESAIKHAN, KOŞALAY. « Power quality analysis using user interface ». Communications Faculty Of Science University of Ankara 58, no 2 (2016) : 1–13. http://dx.doi.org/10.1501/commua1-2_0000000093.

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De Yong, David, C. Reineri et Fernando Magnago. « Educational Software for Power Quality Analysis ». IEEE Latin America Transactions 11, no 1 (février 2013) : 479–85. http://dx.doi.org/10.1109/tla.2013.6502849.

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Barreto, M., A. Guananga, A. Barragán, E. Zalamea et X. Serrano. « Power Quality Analysis of Photovoltaic Systems ». Renewable Energy and Power Quality Journal 21, no 1 (juillet 2023) : 689–94. http://dx.doi.org/10.24084/repqj21.451.

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This research analyses the quality of the electricity produced on photovoltaic systems connected to the power grid in the city of Cuenca (Ecuador). For this, an overview of the literature and the Ecuadorian, American, and European regulations concerning power quality was carried out to determine the regulatory parameters and admissible limits. From the quality records, it is concluded that, in general, there are no power quality problems, except for momentary current imbalances. In one of the cases, violations of voltage parameters, voltage unbalance, current unbalance and flicker were found. The recommended parameters to be included in the Ecuadorian quality standards are individual harmonic distortion and frequency have been registered.
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R, SHILPA, et PUTTASWAMY P. S. « ANALYSIS OF POWER QUALITY ENHANCEMENT USING CUSTOM POWER DEVICES ». i-manager’s Journal on Instrumentation and Control Engineering 6, no 1 (2018) : 1. http://dx.doi.org/10.26634/jic.6.1.13931.

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Boni, Alejandra, Jordi Peris, Estela López et Andrés Hueso. « Scrutinising the Process of Adaptation to the European Higher Education Area in a Spanish University Degree Using Power Analysis ». Power and Education 1, no 3 (1 janvier 2009) : 319–32. http://dx.doi.org/10.2304/power.2009.1.3.319.

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In this article the authors explore power imbalances in a decision-making process to define the contents of a new Spanish degree adapted to the European Higher Education Area (EHEA), specifically the industrial design and product development engineering degree which started in the academic year 2009/10 at the Higher Technical School of Design Engineering (ETSID) at the Technical University of Valencia (UPV). They start the article with a description of the tool they used to analyse the power issues: the power cube, developed by John Gaventa. Then, they briefly explain the process of adaptation of the Bologna Process at the UPV in general and at the ETSID in particular. They introduce the methodology used in their research by referring to the type of questions asked and the criteria used to select their informants. Subsequently, they discuss the answers, paying special attention to three aspects: the quality of participation and the quality of the process; the types of power; and the concept of education. Lastly, they propose a series of recommendations intended to improve the quality of participation in deliberative processes at university.
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C. Ramachandran, M., et K. Elango. « Improvement of power quality of power system using contingency analysis ». International Journal of Engineering & ; Technology 7, no 2.21 (20 avril 2018) : 237. http://dx.doi.org/10.14419/ijet.v7i2.21.12180.

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Contingency analysis is a widely known feature in present day Energy Management System (EMS).The purpose of this strength gadget evaluation feature is to offer the operator records approximately the static security. Contingency analysis of electricity gadget is a major pastime in power device planning and operation. In fashionable an outage of any person of transmission line or transformer might also result in over hundreds in other branches and/or unexpected machine voltage upward push or drop. Contingency evaluation is used to calculate violation. This paper shows the instance on IEEE-14 bus system which offers statistics of violation & remedial action to do away with violations. Exact studies had been completed to work out the contingency plans.
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Cartier, J., D. Bouchard et A. Chikhani. « POWER QUALITY ANALYSIS IN A HERCULES AIRCRAFT POWER DISTRIBUTION SYSTEM ». International Conference on Aerospace Sciences and Aviation Technology 9, ASAT Conference, 8-10 May 2001 (1 mai 2001) : 1–16. http://dx.doi.org/10.21608/asat.2001.31144.

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Cartier, J., D. Bouchard et A. Chikhani. « POWER QUALITY ANALYSIS IN A HERCULES AIRCRAFT POWER DISTRIBUTION SYSTEM ». International Conference on Aerospace Sciences and Aviation Technology 9, no 9 (1 mai 2001) : 899–914. http://dx.doi.org/10.21608/asat.2001.59769.

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Xiangzheng, Xu. « Power Quality Control and Management Measures Analysis ». Open Automation and Control Systems Journal 6, no 1 (31 décembre 2014) : 901–6. http://dx.doi.org/10.2174/1874444301406010901.

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20

González de-la-Rosa, Juan-José, et Manuel Pérez-Donsión. « Special Issue “Analysis for Power Quality Monitoring” ». Energies 13, no 3 (21 janvier 2020) : 514. http://dx.doi.org/10.3390/en13030514.

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We are immersed in the so-called digital energy network, continuously introducing new technological advances for a better way of life. As a consequence, numerous emerging words are relevant to this point: Internet of Things (IoT), big data, smart cities, smart grid, industry 4.0, etc. To achieve this formidable goal, systems should work more efficiently, a fact that inevitably leads to power quality (PQ) assurance. Apart from its economic losses, a bad PQ implies serious risks for machines and, consequently, for people. Many researchers are endeavouring to develop new analysis techniques, instruments, measurement methods, and new indices and norms that match and fulfil the requirements regarding the current operation of the electrical network. This book, and its associated Special Issue, offer a compilation of some of the recent advances in this field. The chapters range from computing to technological implementation, going through event detection strategies and new indices and measurement methods that contribute significantly to the advance of PQ analysis and regulation. Experiments have been developed within the frameworks of research units and projects and deal with real data from industry practice and public buildings. Human beings have an unavoidable commitment to sustainability, which implies adapting PQ monitoring techniques to our dynamic world, defining a digital and smart concept of quality for electricity.
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21

Kong, Long Guang, et Yong Zhou. « Power Quality Analysis Software Based on LabVIEW ». Applied Mechanics and Materials 521 (février 2014) : 173–77. http://dx.doi.org/10.4028/www.scientific.net/amm.521.173.

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This paper introduces the design and development of a LabVIEW-based power quality analysis software, focusing on the four important indicators of power quality: frequency deviation,voltage deviation, three-phase unbalance and harmonics. Accuracy of the software is proven through experiment, demonstrating the high efficiency of LabVIEW in the development of power quality analyzer.
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22

E, Prathibha, Manjunatha A et Cyril Prasanna Raj. « ANALYSIS OF POWER QUALITY EVENTS USING WAVELETS ». MATTER : International Journal of Science and Technology 4, no 2 (11 septembre 2018) : 125–36. http://dx.doi.org/10.20319/mijst.2018.42.125136.

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23

Melhorn, C. J., et M. F. McGranaghan. « Interpretation and analysis of power quality measurements ». IEEE Transactions on Industry Applications 31, no 6 (1995) : 1363–70. http://dx.doi.org/10.1109/28.475727.

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24

Hassan, Syed Rizwan, Ateequr Rehman, Noman Shabbir et Arooj Unbreen. « Comparative Analysis of Power Quality Monitoring Systems ». NFC IEFR Journal of Engineering and Scientific Research 7, no 1 (1 décembre 2019) : 19–23. http://dx.doi.org/10.24081//nijesr.2019.1.0004.

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Electricity is the most important commodity used in our daily routine and power quality (PQ) is gaining interest from last few years. A review of the techniques used for power quality monitoring is presented in this paper. Major focus of this paper is on power quality monitoring (PQM) and management systems in the area of power industry. Techniques reviewed in this paper also include some power quality meter placement techniques. Efficiency and cost effectiveness of PQM system can be improved by applying the techniques that find the optimum number of monitors to be placed and the best locations where they have to be placed and these techniques are called power quality meter placement techniques. In this review initially methodology of each method is defined and then comparison between them is presented. Power quality monitoring and management strategies that are used internationally in industries are discussed and at the end some examples are presented that defines the efforts made in the area of power quality improvement.
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25

Meher, Saroj K., et Ashok K. Pradhan. « Fuzzy classifiers for power quality events analysis ». Electric Power Systems Research 80, no 1 (janvier 2010) : 71–76. http://dx.doi.org/10.1016/j.epsr.2009.08.014.

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Bagdadee, Amam Hossain. « POWER QUALITY ANALYSIS BY THE RIPPLE TECHNIQUE ». Journal of Applied and Advanced Research 2, no 4 (13 juillet 2017) : 227. http://dx.doi.org/10.21839/jaar.2017.v2i4.74.

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Characteristics of Power quality has been with us since the inception of the electrical Power system. However, the topic of power quality has attracted particular attention in recent years due to the increase of electronically controlled. Power quality problems caused disruptions to electrical or electronic equipment and the resulting consequences are very expensive. Ripple techniques will be studied in this paper for analysing power quality monitoring. In the case study based on the measurement of the site of the Asian Institute of Technology (AIT) and it was examined using the proposed ripple technique.
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Santoso, S., E. J. Powers, W. M. Grady et P. Hofmann. « Power quality assessment via wavelet transform analysis ». IEEE Transactions on Power Delivery 11, no 2 (avril 1996) : 924–30. http://dx.doi.org/10.1109/61.489353.

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Popa, Gabriel Nicolae. « Electric Power Quality through Analysis and Experiment ». Energies 15, no 21 (26 octobre 2022) : 7947. http://dx.doi.org/10.3390/en15217947.

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The quality of electrical energy is of particular importance for power engineering. This study presents an analysis of articles made in the Special Issue “Analysis and Experiments for Electric Power Quality”. As techniques and technology advance, electrical consumers and equipment become more sensitive to disturbances in the electrical network (in particular, low- and medium-voltage). It can lead to costly outages and lost production, which affect productivity. The analyzed articles present interesting technical studies made on industrial and nonindustrial consumers, of low- and medium-voltage, from the point of view of the quality of electricity. Voltage and current harmonics, voltage sags and swells, interruptions, unbalance, and low power factor will lead to higher electricity bills, overloading, and rapid aging of electrical networks and electric equipment. The power quality depends not only on the supplier but also on all consumers connected to the same power network; some can cause disruptive influences in the supply network, affecting the operation of other consumers. Ensuring the power quality of industrial and nonindustrial applications is an objective difficult to achieve.
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Thakur, Mithilesh Kumar, et Dr Tanuj Manglani. « Detection and Analysis of Sag and Swell Power Quality Disturbances using Fractional Fourier Transform ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30 juin 2018) : 1067–71. http://dx.doi.org/10.31142/ijtsrd14204.

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Urmanbekova, Iroda Farkhodovna. « The Cost Of Calculation And Analysis In Power Generation Enterprises ». American Journal of Management and Economics Innovations 3, no 05 (31 mai 2021) : 118–25. http://dx.doi.org/10.37547/tajmei/volume03issue05-18.

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The article examines the calculation and analysis of costs in power generation enterprises, in which one of the most important quality indicators reflecting the results of economic activity of the enterprise, the feasibility of production, quality, unit of products, works, services and all sold products, the object of calculation, the unit of calculation, its types are described. At the same time, the economic elements of the cost and calculation items that make up the cost of production are disclosed on the basis of data from JSC “Fergana Thermal Power Plant”.
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Qu, Jun, Peng Fu, Yanan Wu, Jing Lu, Mingxing Zhu, Yan Liang et Yunxiang Tian. « Power Quality Analysis for Poloidal Field Power Supply System in EAST ». Fusion Science and Technology 77, no 4 (5 mai 2021) : 316–26. http://dx.doi.org/10.1080/15361055.2021.1880248.

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Nikolic, Aleksandar B., Blagoje Babic, Aleksandar Zigic, Nikola Miladinovic et Srdjan Milosavljevic. « Simultaneous power quality analysis of feeders in MV utility power stations ». ACTA IMEKO 4, no 1 (5 février 2015) : 53. http://dx.doi.org/10.21014/acta_imeko.v4i1.163.

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The development of a low-cost, space saving device that could simultaneously take measurements from all (usually eight or up to twelve) outgoing three-phase feeders in a distribution substation is presented in this paper. To meet these requirements, at least 3 voltage measurements and 36 current measurements should be performed at the same time. In order to save space but not to reduce the measurement accuracy, a data acquisition system is designed based on real-time multiprocessing with a microcontroller and an FPGA circuit. Voltage and current measurements and their corresponding higher-order harmonics are calculated using a fast FPGA circuit, while other calculations (power, power factor, voltage and current phase angles, etc.) are performed in the microcontroller. Further savings are obtained using multichannel analog input modules with multiplexed inputs. Communication with the supervising computer is done using a GPRS modem or wireless network module depending of the station location. Results obtained in the laboratory and later in an industrial prototype confirm the proposed solution.
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B .T. Kalyan, B. T. Kalyan. « Analysis and Design of Power Electronic Transformer based Power Quality Improvement ». IOSR Journal of Electrical and Electronics Engineering 5, no 1 (2013) : 61–69. http://dx.doi.org/10.9790/1676-0516169.

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JI, Cui, Siming HUA, Bingbing ZOU, Hua ZHANG, Chang DIAO, Guofa ZHOU et Bo MIN. « Monitoring and Analysis of Power Quality in Photovoltaic Power Generation System ». E3S Web of Conferences 64 (2018) : 06008. http://dx.doi.org/10.1051/e3sconf/20186406008.

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Solar photovoltaic (PV) has been developed rapidly due to its clean and green renewable characteristics. The connection of photovoltaic power generation to the traditional grid system is bound to bring power quality problems. Based on above, this paper introduces the power quality testing method of photovoltaic grid-connected power grid in detail. And then takes the Shanghai Qingpu Nanrong distributed photovoltaic power generation for example, which is the largest single roof photovoltaic power station in Shanghai by far, to use the method to test its power quality. The power quality index include harmonic, voltage imbalance, and frequency deviation. The test and analysis provide a reference for the monitoring and analysis of power quality of photovoltaic grid-connected power grid.
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Ko, Ji-Han, Dong-Wan Kim, Seong Hyun Kim, Homin Kim et Eel-Hwan Kim. « Power Quality Analysis Considering Contingency of STATCOM in Jeju Power Grid ». Journal of the Korean Solar Energy Society 34, no 2 (30 avril 2014) : 91–97. http://dx.doi.org/10.7836/kses.2014.34.2.091.

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Qiu, Yuanchao, Chengqing Yuan, Yuwei Sun et Xujing Tang. « Power Quality Analysis for Ship-Photovoltaic Power System : A Case Study ». Electric Power Components and Systems 46, no 11-12 (21 juillet 2018) : 1375–86. http://dx.doi.org/10.1080/15325008.2018.1485185.

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Mur Amada, Joaquín, Ángel Antonio Bayoz, Roberto Zapatas et Samuel Ortiz. « Power Quality Analysis of Wind Turbines. Part I – Static Analysis ». Renewable Energy and Power Quality Journal 1, no 01 (avril 2003) : 482–86. http://dx.doi.org/10.24084/repqj01.404.

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Mur Amada, Joaquín, Ángel Antonio Bayod, Samuel Ortiz, Roberto Zapata et Jesús Sayán. « Power Quality Analysis of Wind Turbines. Part II - Dynamic Analysis ». Renewable Energy and Power Quality Journal 1, no 01 (avril 2003) : 538–44. http://dx.doi.org/10.24084/repqj01.418.

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MIRON, A., M. D. CHINDRIS et A. C. CZIKER. « Software Tool for Real-Time Power Quality Analysis ». Advances in Electrical and Computer Engineering 13, no 4 (2013) : 125–32. http://dx.doi.org/10.4316/aece.2013.04021.

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Trudnev, S. U., et A. A. Marchenko. « Quality analysis of the ship electric power systems ». Bulletin оf Kamchatka State Technical University 115 (2015) : 15–17. http://dx.doi.org/10.17217/2079-0333-2015-33-15-17.

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Lisowiec, Aleksander, Andrzej Nowakowski et Zdzislaw Kolodziejczyk. « Integrating power quality analysis and protection relay functions ». Renewable Energy and Power Quality Journal 1, no 06 (mars 2008) : 640–44. http://dx.doi.org/10.24084/repqj06.395.

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Dominguez-Gimeno, S., R. Igual et C. Medrano. « Analysis of public datasets of power quality distortions ». Renewable Energy and Power Quality Journal 18 (juin 2020) : 321–26. http://dx.doi.org/10.24084/repqj18.317.

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Ramanjani, Shobha. « Power Quality Test Data Analysis for Aircraft Subsystem ». SAE International Journal of Aerospace 11, no 2 (21 décembre 2018) : 127–39. http://dx.doi.org/10.4271/01-11-02-0008.

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Yeu, Rodney, Jason Wells, Chad Miller et Jane Thompson. « Power Quality Assessment through Stochastic Equivalent Circuit Analysis ». SAE International Journal of Aerospace 9, no 1 (20 septembre 2016) : 30–36. http://dx.doi.org/10.4271/2016-01-1988.

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Marques, C. A. G., D. D. Ferreira, L. R. Freitas, C. A. Duque et M. V. Ribeiro. « Improved Disturbance Detection Technique for Power-Quality Analysis ». IEEE Transactions on Power Delivery 26, no 2 (avril 2011) : 1286–87. http://dx.doi.org/10.1109/tpwrd.2010.2092571.

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Kezunovic, M., et I. Rikalo. « Automating the analysis of faults and power quality ». IEEE Computer Applications in Power 12, no 1 (1999) : 46–50. http://dx.doi.org/10.1109/67.738319.

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Lima, Ricardo, Damián Quiroga, Claudio Reineri et Fernando Magnago. « Hardware and software architecture for power quality analysis ». Computers & ; Electrical Engineering 34, no 6 (novembre 2008) : 520–30. http://dx.doi.org/10.1016/j.compeleceng.2007.12.003.

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Gerek, O. N., et D. G. Ece. « An Adaptive Statistical Method for Power Quality Analysis ». IEEE Transactions on Instrumentation and Measurement 54, no 1 (février 2005) : 184–91. http://dx.doi.org/10.1109/tim.2004.838910.

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Vinayagam, Arangarajan, KSV Swarna, Sui Yang Khoo et Alex Stojcevski. « Power Quality Analysis in Microgrid : An Experimental Approach ». Journal of Power and Energy Engineering 04, no 04 (2016) : 17–34. http://dx.doi.org/10.4236/jpee.2016.44003.

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Mosobi, Rinchin W., Toko Chichi et Sarsing Gao. « Power quality analysis of hybrid renewable energy system ». Cogent Engineering 2, no 1 (30 janvier 2015) : 1005000. http://dx.doi.org/10.1080/23311916.2015.1005000.

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