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Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Modern power systems"

1

Chen, Zhe. "Wind power in modern power systems." Journal of Modern Power Systems and Clean Energy 1, no. 1 (June 2013): 2–13. http://dx.doi.org/10.1007/s40565-013-0012-4.

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2

Badrzadeh, Babak. "Power conversion systems for modern ac-dc power systems." European Transactions on Electrical Power 22, no. 7 (August 18, 2011): 879–906. http://dx.doi.org/10.1002/etep.611.

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3

Wiszniewski, A., and T. Lobos. "Editorial: Modern electric power systems." IEE Proceedings - Generation, Transmission and Distribution 151, no. 2 (2004): 239. http://dx.doi.org/10.1049/ip-gtd:20040285.

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4

Mezhman, Igor Frantsevich, and Daria Sergeevna Kovtun. "ANALYSIS OF MODERN POWER SYSTEMS." OlymPlus. Гуманитарная версия, no. 1 (2022): 72–75. http://dx.doi.org/10.46554/olymplus.2022.1(14).pp.72.

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5

Sharma, Dushyant, and Sukumar Mishra. "Power system frequency stabiliser for modern power systems." IET Generation, Transmission & Distribution 12, no. 9 (May 15, 2018): 1961–69. http://dx.doi.org/10.1049/iet-gtd.2017.1295.

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6

Vlachogiannis, John G. "Quantum Computing in Modern Power Systems." Quantum Matter 3, no. 6 (December 1, 2014): 489–94. http://dx.doi.org/10.1166/qm.2014.1151.

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7

Mori, Tadashi, and Katsumi Suzuki. "Switching Duties in Modern Power Systems." IEEJ Transactions on Power and Energy 119, no. 3 (1999): 313–16. http://dx.doi.org/10.1541/ieejpes1990.119.3_313.

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8

Kovalev, G. F., D. S. Krupenev, and L. M. Lebedeva. "Modern problems of electric power systems reliability." Automation and Remote Control 71, no. 7 (July 2010): 1436–41. http://dx.doi.org/10.1134/s0005117910070179.

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9

Kularatna, Nihal. "Power Conditioning and Power Protection for Electronic Systems." Energies 16, no. 6 (March 13, 2023): 2671. http://dx.doi.org/10.3390/en16062671.

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10

Egorov, Alexander, Paul Bannih, Denis Baltin, Alexander Kazantsev, Anton Trembach, Elizabeth Koksharova, Victor Kunshin, Natalia Zhavrid, and Olga Vozisova. "Electric Power Systems Kit." Advanced Materials Research 1008-1009 (August 2014): 1166–70. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.1166.

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This article describes the problem of practical knowledge lack in modern education system and gives the solution of the problem by creating the laboratory for the scale models production. This laboratory allows to create all 110 kV, 220 kV and 500 kV power equipment in all generally accepted scales. Low price of such scale models makes the product available for students of any educational institutions.
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Дисертації з теми "Modern power systems"

1

Rajkumar, Naganathy. "Novel algorithms for modern power systems." Thesis, City University London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390941.

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2

Kryukova, N. V., Evgen Viktorovych Goncharov, and I. V. Polyakov. "Modern monitoring systems of electric power lines." Thesis, NTU "KhPI", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/38909.

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3

Kamarudin, Syalwani. "Advanced Doherty power amplifier design for modern communication systems." Thesis, Cardiff University, 2018. http://orca.cf.ac.uk/115269/.

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Mobile communication technologies are becoming increasingly sophisticated and have experienced rapid evolution over the last few decades, and this is especially true for the base station transmitter. In response to the ever increasing demand in communication traffic and data throughput, largely driven by video based social media platforms, both spectral and power efficient device and systems are needed to fulfil the requirements. In terms of energy consumption, the power amplifier is an important component, and although developing efficient technologies for handset equipment is important, it is the base station element of the communications system that poses the greater challenge, having to deal with many channels simultaneously, resulting in the need to linearly and efficiently amplify highly dynamic phase and amplitude modulated signals possessing very large peak-to-average power ratios, at high power levels. This unique set of challenges has led to continuous research to improve the efficiency of amplifiers that can accommodate such signals, and the Doherty architecture has now become the architecture-of-choice. However, most of the previous research studies demonstrate Doherty performance enhancement through a ‘conventional’ design approach that uses one input source and a passive power splitter to deliver power to each half of the Doherty structure. They do not emphasize the additional efficiency and other performance improvements that are possible in Doherty amplifiers when using two different, independent and phase coherent input sources, attached to the input path of both main and auxiliary amplifiers. IV The novel research work presented in this thesis introduces an optimised design approach for Doherty amplifier architectures with individual input sources, as well as detailing a measurement architecture that is necessary to characterise such structures, using separate, phase-coherent input sources in a realistic measurement scenario. Finally, following extensive characterisation of a number of promising architectures, investigations around efficiency enhancement are focused around the adaption of gate bias applied to the auxiliary amplifier device, and identifying, for the first time, what is possible by generating different shaping functions that relate bias voltage to the magnitude of the input signal. One completely new area of research and novelty introduced in this work for example shows how choosing the right shaping function can give improved linearity and importantly linearisability by producing a flat gain over dynamic range. Note that linearisability is important, and is defined here as the term used to describe the ease with which the non-linearities of a device or power amplifier can be corrected. It is often assumed in power amplifier design that efficiency and power are the most important parameters, and that modern digital pre-distortion (DPD) techniques can easily correct any non-linearity that may result. Industry is now finding that this is not the case however, and the type and nature of the non-linearity in terms to AM-AM and AM-PM distortion is very important in determining of the degree of linearization possible.
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4

Wang, Chun. "Methodologies and algorithms for fault locators in modern power systems." Thesis, University of the West of England, Bristol, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392859.

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Following world wide deregulation of the electrical power industry, the requirements for high quality and highly reliable power supplies are increasing. Comprehensive and systematic computer based methodologies and algorithms for fault locators in power systems are needed to support reliable, independent and comprehensive fault diagnosis or accurate fault location, fast fault detection and correct fault classification. This thesis describes work to develop novel fault diagnosis techniques and accurate fault location algorithms for fault locators using system-wide information of modern power systems. Fast and efficient modern communication techniques make it possible to apply the novel fault locator system in practice. The fault diagnosis techniques use fault messages obtained from current and voltage sensors installed in radial and meshed networks respectively. A faulty section in the meshed network can be detected by analysing the network's topologic structure and the measurements of the fundamental frequency voltages obtained from voltage sensors; while for the radial network, current sensors are used to trace the path of a fault. The fault diagnosis techniques can work independently from protection devices, and circuit breakers, and can be implemented economically in the low- and medium-voltage power systems, because current and voltage sensors can be made cheaply. In order to achieve very accurate fault location for the EHV transmission systems with long transmission lines and complex network topology, algorithms based on the wavelet transform, travelling wave concept and GPS synchronisation have been developed. When a fault occurs, fault generated transient waves propagate from fault point to line terminals and then to the other nodes in the whole network. Fault transient detectors are installed at nodes in the meshed network, at substations and customer terminals in the radial system to capture the time of fault transient signal arrival. From the time recorded and topologic network structure, very accurate fault location can be achieved. The thesis also describes and compares applications of digital Fourier transform, least squares method and Kalman filters for fast measurements in current and voltage sensors, for fault classification and fault detection, and the wavelet transform used in fault transient detectors. Methodologies and algorithms developed have been validated by ATP/EMTP simulation on different networks, such as, traditional twosource system and IEEE 14-bus system. The maIn advantage of the developed methodologies and algorithms for fault locators in power systems is the use of system-wide fault messages in the electrical networks. The fault locators will efficiently support the operators in the control centres and relevant substations with clear fault information allowing them to take suitable actions for fault emergency and restoration of power supplies. This will be beneficial in reducing the outage time required for inspection, damage repair and restoration of the power supply. Reliability, security and power quality will be improved for the customers.
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5

Shao, Jin. "Advanced Power Amplifiers Design for Modern Wireless Communication." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804973/.

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Modern wireless communication systems use spectrally efficient modulation schemes to reach high data rate transmission. These schemes are generally involved with signals with high peak-to-average power ratio (PAPR). Moreover, the development of next generation wireless communication systems requires the power amplifiers to operate over a wide frequency band or multiple frequency bands to support different applications. These wide-band and multi-band solutions will lead to reductions in both the size and cost of the whole system. This dissertation presents several advanced power amplifier solutions to provide wide-band and multi-band operations with efficiency improvement at power back-offs.
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6

Dong, Zhao Yang. "Advanced methods for small signal stability analysis and control in modern power systems." Phd thesis, School of Electrical and Information Engineering, Graduate School of Engineering, 1998. http://hdl.handle.net/2123/6416.

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Yuan, Lin. "Design space re-engineering for power minimization in modern embedded systems." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3651.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.
Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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8

Wang, Longfei. "High Performance Distributed On-Chip Voltage Regulation for Modern Integrated Systems." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7590.

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Distributed on-chip voltage regulation where multiple voltage regulators are distributed among different locations of the chip demonstrates advantages as compared to on-chip voltage regulation utilizing a single voltage regulator. Better on-chip voltage noise performance and faster transient response can be realized due to localized voltage regulation. Despite the advantages of distributed on-chip voltage regulation, unbalanced current sharing issue can occur among each voltage regulator, which has been demonstrated to deteriorate power conversion efficiency, stability, and reliability of the power delivery network. An effective balanced current sharing scheme that can be applied to most voltage regulator types is proposed to balance the current sharing. Furthermore, a relatively high on-chip temperature induced by increased power density leads to prominent voltage regulator performance degradations due to aging. The emerging type of digital low-dropout regulator is investigated regarding aging induced transient and steady state performance degradations. Reliability enhancement techniques for digital low-dropout regulators are developed and verified. Such techniques introduce negligible power and area overhead and do not affect the normal operations of digital low-dropout regulators. Reliability enhancement techniques also reduce the area overhead needed to mitigate aging induced performance degradations. Area overhead saving further translates into more space for increased number of distributed on-chip voltage regulators, enabling scalable on-chip voltage regulation.
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9

Chevalier, Samuel Chapman. "Inference, estimation, and prediction for stable operation of modern electric power systems." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130842.

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Анотація:
Thesis: Ph. D. in Mechanical Engineering and Computation, Massachusetts Institute of Technology, Department of Mechanical Engineering, February, 2021
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 261-277).
To keep pace with social-ecological disruptions and technological progressions, electrical power systems must continually adapt. In order to address the stability-related challenges associated with these adaptations, this thesis develops a set of analytically rigorous yet practically oriented methods for ensuring the continued stability of modern power systems. By leveraging inference, estimation, and predictive modeling techniques, the proposed methods capitalize on the unprecedented amount of real time data emerging from modernizing smart grids. For each method, we provide simulated test results from IEEE benchmark systems. Newly deployed Phasor Measurement Units (PMUs) are observing the presence of detrimental low frequency forced oscillations (FOs) in transmission grid networks. To begin this thesis, we address the problem of locating the unknown sources of these FOs.
To perform source identification, we develop an equivalent circuit transformation which leverages suitably constructed transfer functions of grid elements. Since FO sources appear in this equivalent circuit as independent current injections, a Bayesian framework is applied to locate the most probable source of these injections. Subsequently, we use our equivalent circuit to perform a systematic investigation of energy-based source identification methods. We further leverage this equivalent circuit transformation by developing "plug-and-play" stability standards for microgrid networks that contain uncertain loading configurations. As converter-based technology declines in cost, microgrids are becoming an increasingly feasible option for expanding grid access. Via homotopic parameterization of the instability drivers in these tightly regulated systems, we identify a family of rotational functions which ensure that no eigenmodes can be driven unstable.
Any component which satisfies the resulting standards can be safely added to the network, thus allowing for plug-and-play operability. High-fidelity linearized models are needed to perform both FO source identification and microgrid stability certification. Furthermore, as loss of inertia and real-time observability of grid assets accelerate in tandem, real-time linearized modeling is becoming an increasingly useful tool for grid operators. Accordingly, we develop tools for performing real-time predictive modeling of low frequency power system dynamics in the presence of ambient perturbations. Using PMU data, we develop a black-box modeling procedure, known as Real-Time Vector Fitting (RTVF), that takes explicit account for initial state decay and concurrently active input signals. We then outline a proposed extension, known as stochastic-RTVF, that accounts for the corrupting effects of unobservable stochastic inputs.
The surrogate modeling utilized by vector fitting can also be applied to the steady state power flow problem. Due to an unprecedented deployment of distributed energy resources, operational uncertainty in electrical distribution networks is increasing dramatically. To address this challenge, we develop methodology for speeding up probabilistic power flow and state estimation routines in distribution networks. We do so by exploiting the inherently low-rank nature of the voltage profile in these systems. The associated algorithms dynamically generate a low-dimensional subspace which is used to construct a projection-based reduced order model (ROM) of the full nonlinear system. Future system solves using this ROM are highly efficient.
by Samuel Chapman Chevalier.
Ph. D. in Mechanical Engineering and Computation
Ph.D.inMechanicalEngineeringandComputation Massachusetts Institute of Technology, Department of Mechanical Engineering
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10

Phung, James Hon-Hoe. "Power Modeling in Modern Server Systems: An Examination of Various Novel Approaches." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21376.

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As Cloud and other distributed networks become more complex and new virtualization technologies are increasingly adopted, there is an increasing need for versatile solutions that can effectively measure the energy consumption incurred by users of such networks and use this information to schedule user jobs with the goal of maximizing energy efficiency. In this thesis, existing work in power modeling involving performance monitoring events and the Running Average Power Limit was reviewed. While substantial work has been done in these areas, the focus has been on a narrow range of use cases. To address the lack of versatility of existing power meters, three lightweight software-based virtual power meters were developed. Utilizing simple but powerful application-agnostic power models, they offer similar performances to existing power models but have minimal overheads and are portable for use in a variety of systems. The first two power meters use performance event counters and the RAPL feature respectively to estimate power use. The third power meter is an enhanced power meter incorporating features from these two earlier power meters. Additionally, the enhanced power meter can estimate power use on a per-application basis. Furthermore, a systematic framework PowerSave was developed to analyze and evaluate energy use and performance patterns for a variety of workloads for different types of server systems under different CPU power limits. Results from PowerSave and power modeling experiments show that CPU power use accounts for most of a server's power consumption and that there is a high level of correlation between CPU power use and server power use.
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Книги з теми "Modern power systems"

1

Wang, Xi-Fan, Yonghua Song, and Malcolm Irving. Modern Power Systems Analysis. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-72853-7.

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2

Modern power system analysis. Boca Raton: CRC Press, 2013.

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3

Modern power system analysis. New York: Wiley, 1988.

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4

1936-, Wang X., and McDonald J. R. 1937-, eds. Modern power system planning. London: McGraw-Hill, 1994.

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5

Kumar, Jitendra, Manoj Tripathy, and Premalata Jena, eds. Control Applications in Modern Power Systems. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0193-5.

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6

Debs, Atif S. Modern Power Systems Control and Operation. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1073-0.

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7

Song, Yong-Hua, ed. Modern Optimisation Techniques in Power Systems. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9189-8.

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8

Mariani, E., and S. S. Murthy. Control of Modern Integrated Power Systems. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-4471-0993-8.

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9

Debs, A. S. Modern power systems control and operation. Boston: Kluwer Academic Publishers, 1988.

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10

Kumar, Jitendra, Manoj Tripathy, and Premalata Jena, eds. Control Applications in Modern Power Systems. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7788-6.

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Частини книг з теми "Modern power systems"

1

Patrick, Dale R., Stephen W. Fardo, and Brian W. Fardo. "Modern Power Systems." In Electrical Power Systems Technology, 89–124. 4th ed. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003207429-6.

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2

Zhang, Boming, Wenchuan Wu, and Chuanlin Zhao. "A MAS-Based Cluster Computing Platform for Modern EMS." In Power Systems, 101–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32683-7_4.

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3

Wang, Weikang, Kaiqi Sun, Chujie Zeng, Chang Chen, Wei Qiu, Shutang You, and Yilu Liu. "Information and Communication Infrastructures in Modern Wide-Area Systems." In Power Systems, 71–104. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54275-7_3.

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4

Erlbacher, Tobias. "Modern MOS-Based Power Device Technologies in Integrated Circuits." In Power Systems, 75–103. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00500-3_5.

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5

Daneshvar, Mohammadreza, Somayeh Asadi, and Behnam Mohammadi-Ivatloo. "Energy Trading Possibilities in the Modern Multi-Carrier Energy Networks." In Power Systems, 175–214. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64099-6_5.

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6

Khan, Asad Ali, and Omar A. Beg. "Cyber Vulnerabilities of Modern Power Systems." In Power Systems Cybersecurity, 47–66. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20360-2_2.

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Ruan, Da. "Modern Approaches and Advanced Applications for Plant Surveillance and Diagnostics: An Overview." In Power Systems, 1–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04945-7_1.

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Daneshvar, Mohammadreza, Somayeh Asadi, and Behnam Mohammadi-Ivatloo. "Mathematical Modeling and Uncertainty Management of the Modern Multi-Carrier Energy Networks." In Power Systems, 215–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64099-6_6.

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9

Debs, Atif S. "Power Flow Optimization." In Modern Power Systems Control and Operation, 153–202. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1073-0_5.

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10

Bouhouras, Aggelos S., Paschalis A. Gkaidatzis, and Dimitris P. Labridis. "Network Reconfiguration in Modern Power Distribution Networks." In Energy Systems, 219–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36115-0_7.

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Тези доповідей конференцій з теми "Modern power systems"

1

Chen, Z. "Power Electronics in Modern Power Systems." In 2022 9th International Conference on Power Electronics Systems and Applications (PESA). IEEE, 2022. http://dx.doi.org/10.1109/pesa55501.2022.10038350.

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2

Szablicki, M., P. Rzepka, A. Halinka, and P. Sowa. "Diagnosis of challenges for power system protection – selected aspects of transformation of power systems." In 2019 Modern Electric Power Systems (MEPS). IEEE, 2019. http://dx.doi.org/10.1109/meps46793.2019.9394979.

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3

Bulatov, Yuri, Andrey Kryukov, and Konstantin Suslov. "Application of Power Routers in Standalone Power Systems." In 2019 Modern Electric Power Systems (MEPS). IEEE, 2019. http://dx.doi.org/10.1109/meps46793.2019.9395000.

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4

Tavakoli, Mohamad Reza, Vahid Rasouli, and Sahar Allahkaram. "A new design of double input power system stabilizers using SQP for interconnected power systems." In 2015 Modern Electric Power Systems (MEPS). IEEE, 2015. http://dx.doi.org/10.1109/meps.2015.7477175.

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5

KOKSAL, Aysun, Aydogan OZDEMIR, and Joydeep MITRA. "A reliability-transient stability analysis of power systems for protection system conditions." In 2019 Modern Electric Power Systems (MEPS). IEEE, 2019. http://dx.doi.org/10.1109/meps46793.2019.9395040.

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Biczel, Piotr, Andrzej Jasinski, and Jacek Lachecki. "Power Electronic Devices in Modern Power Systems." In EUROCON 2007 - The International Conference on "Computer as a Tool". IEEE, 2007. http://dx.doi.org/10.1109/eurcon.2007.4400220.

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Routray, Sudhir K., Abhishek Javali, Anindita Sahoo, Laxmi Sharma, K. P. Sharmila, and Aritri D. Ghosh. "IoT Assisted Power Electronics for Modern Power Systems." In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2021. http://dx.doi.org/10.1109/icirca51532.2021.9544584.

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Blaabjerg, Frede, and Saeed Peyghami. "Reliability of Modern Power Electronic-based Power Systems." In 2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe). IEEE, 2021. http://dx.doi.org/10.23919/epe21ecceeurope50061.2021.9570595.

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Gubanski, Adam, Pawel Kostyla, Beata Kredenc, Zbigniew Leonowicz, Jacek Rezmer, and Tomasz Sikorski. "Synchronized profiles of power quality parameters in assessment of disturbances in power systems with distributed generation." In 2015 Modern Electric Power Systems (MEPS). IEEE, 2015. http://dx.doi.org/10.1109/meps.2015.7477201.

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Halinka, A., P. Rzepka, and M. Szablicki. "Agent model of multi-agent system for area power system protection." In 2015 Modern Electric Power Systems (MEPS). IEEE, 2015. http://dx.doi.org/10.1109/meps.2015.7477185.

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Звіти організацій з теми "Modern power systems"

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Gurieiev, Viktor, Yulii Kutsan, Anna Iatsyshyn, Andrii Iatsyshyn, Valeriia Kovach, Evgen Lysenko, Volodymyr Artemchuk, and Oleksandr Popov. Simulating Systems for Advanced Training and Professional Development of Energy Specialists in Power Sector. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4456.

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The crisis of the system of professional development and personnel training in the energy sector exists not only in Ukraine but also all over the world. The article describes the concept of development and functioning of the industry system of personnel training in the energy sector of Ukraine. The importance of using modern web-oriented technologies to improve the skills of operational and dispatching personnel in the energy sector of Ukraine is substantiated. The meth- ods of distributed power system operating modes modelling are presented. De- velopment and software tools for the construction of distributed simulating sys- tems and particular features of cloud technologies application for the creation of a virtual training centers network in the energy sector, as well as the ways to automate the process of simulating scenarios development are described. The ex- perience of introducing remote training courses for energy specialists and remote web-based training simulators based on a comprehensive model of the energy system of Ukraine is presented. An important practical aspect of the research is the application of software and data support for the development of personnel key competencies in the energy sector for rapid recognition of accidents and, if necessary, accident management. This will allow them to acquire knowledge and practical skills to solve the problems of analysis, modelling, forecasting, and monitoring data visualization of large power systems operating modes.
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Stenclik, Derek, Aaron Bloom, Wesley Cole, Armando Figueroa Acevedo, Gord Stephen, and Aidan Touhy. Redefining Resource Adequacy for Modern Power Systems: A Report of the Redefining Resource Adequacy Task Force. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1961567.

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Buchanan, Ben. The AI Triad and What It Means for National Security Strategy. Center for Security and Emerging Technology, August 2020. http://dx.doi.org/10.51593/20200021.

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One sentence summarizes the complexities of modern artificial intelligence: Machine learning systems use computing power to execute algorithms that learn from data. This AI triad of computing power, algorithms, and data offers a framework for decision-making in national security policy.
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Edenburn, M. W. Models for multimegawatt space power systems. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/6252925.

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Worhach, Paul. Power Systems Financial Model User's Guide. Office of Scientific and Technical Information (OSTI), May 2011. http://dx.doi.org/10.2172/1601965.

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Soummane, Salaheddine, Amro Elshurafa, Hatem Al Atawi, and Frank Felder. Cross-seasonal Fuel Savings from Load Shifting in the Saudi Industrial Sector. King Abdullah Petroleum Studies and Research Center, April 2022. http://dx.doi.org/10.30573/ks--2022-dp01.

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Load shifting, that is, moving demand from peak to off-peak hours, is an important type of demand response. It can reduce the overall operating costs of a power system and improve the reliability of the power grid. This study estimates the financial implications of load shifting in the Saudi industrial sector. We use a national Saudi power system dispatch optimization model to simulate three scenarios. With this model, we quantify the impacts of shifting industrial loads from the peak summer to the off-peak winter months, keeping industrial electricity tariffs unchanged.
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Olsen and Willson. L51916 Pressure Based Parametric Emission Monitoring Systems (PEMS). Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2002. http://dx.doi.org/10.55274/r0010181.

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The natural gas industry operates over 8000 stationary large bore (bore greater than 14 in) natural gas engines for natural gas compression on pipelines and power generation. As emissions regulations become increasingly more stringent, the need for low cost methods for compliance demonstration arises. A PEMS model is one such approach. Research in this area has increased significantly during the last decade. PEMS models for this application utilize parameters commonly measured on industrial engines in the field to predict engine-out emissions. Monitoring emissions in this manner represents a significant cost savings over the periodic use of chemiluminescence NOX analyzers, which are not standard equipment in natural gas compressor stations. PEMS model accuracy is dependent on the quality of the input data, both the training NOX measurements and the selection of input parameters. Hence, it is important to have both reliable data measurement methods and an understanding of engine operating parameters relation to NOX. This work is part of the body of work referred to as the Integrated Test Plan (ITP), performed at the Engines and Energy Conversion Laboratory (EECL). This report details an investigation into Parametric Emissions Monitoring System (PEMS) models. It is the final document to be delivered under the ITP program. Much of the work performed under the ITP program focused on Hazardous Air Pollutants (HAPs) research. However, the emphasis of the PEMS work is on the prediction of oxides of nitrogen (NOX) emissions from large bore natural gas engines. In this work two different PEMS models are developed, a semi-empirical model and a neural network model. The semi-empirical model is based on general relationships between NOX emissions and engine parameters, but contains empirical constants that are determined based on the best fit to engine experimental data. The neural network model utilizes a similar set of input parameters, but relies on the neural network code to determine the relationships between input parameters and measured NOX emissions. The neural network model also contains empirical constants. The mathematics involved in both models is described. A single term semi-empirical model, which has been utilized in the literature as a PEMS model, is applied for comparative purposes.
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Bienstock, Daniel. RECONFIGURING POWER SYSTEMS TO MINIMIZE CASCADING FAILURES: MODELS AND ALGORITHMS. Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1127329.

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Soummane, Salaheddine, and Frédéric Ghersi. Projecting Saudi Sectoral Electricity Demand in 2030 Using a Computable General Equilibrium Model. King Abdullah Petroleum Studies and Research Center, September 2021. http://dx.doi.org/10.30573/ks--2021-dp12.

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Projecting future demand for electricity is central to power sector planning, as these projections inform capacity investment requirements and related infrastructure expansions. Electricity is not currently economically storable in large volumes. Thus, the underlying drivers of electricity demand and potential market shifts must be carefully considered to minimize power system costs.
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Dobson, Ian, Ian Hiskens, Jeffrey Linderoth, and Stephen Wright. ARRA: Reconfiguring Power Systems to Minimize Cascading Failures - Models and Algorithms. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1110645.

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