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Статті в журналах з теми "Generator parameter estimation"
Berhausen, Sebastian, and Stefan Paszek. "Synchronous Generator Model Parameter Estimation Based on Noisy Dynamic Waveforms." Journal of Electrical Engineering 67, no. 1 (January 1, 2016): 21–28. http://dx.doi.org/10.1515/jee-2016-0003.
Повний текст джерелаSanin-Villa, Daniel, Oscar Danilo Montoya, Walter Gil-González, Luis Fernando Grisales-Noreña, and Alberto-Jesus Perea-Moreno. "Parameter Estimation of a Thermoelectric Generator by Using Salps Search Algorithm." Energies 16, no. 11 (May 24, 2023): 4304. http://dx.doi.org/10.3390/en16114304.
Повний текст джерелаBerhausen, S., and S. Paszek. "Use of the finite element method for parameter estimation of the circuit model of a high power synchronous generator." Bulletin of the Polish Academy of Sciences Technical Sciences 63, no. 3 (September 1, 2015): 575–82. http://dx.doi.org/10.1515/bpasts-2015-0067.
Повний текст джерелаLai, Yening, Ling Zhu, Xueping Pan, Jinpeng Guo, Dazhuang He, and Wei Liang. "Online Estimation of the Mechanical Parameters of a Wind Turbine with Doubly Fed Induction Generator by Utilizing Turbulence Excitations." Energies 15, no. 6 (March 21, 2022): 2277. http://dx.doi.org/10.3390/en15062277.
Повний текст джерелаSANTANA, Danyelle. "A Novel Prony Approach for Synchronous Generator Parameter Estimation." PRZEGL�D ELEKTROTECHNICZNY 1, no. 1 (January 5, 2015): 52–56. http://dx.doi.org/10.15199/48.2015.01.09.
Повний текст джерелаJaworski, Piotr. "On Truncation Invariant Copulas and their Estimation." Dependence Modeling 5, no. 1 (January 26, 2017): 133–44. http://dx.doi.org/10.1515/demo-2017-0009.
Повний текст джерелаMoghadam, Farshad Gholami Nejad, Navid Taghizadegan, and Haghi Pour Meraj. "Method for Illconditioned Parameter Estimation Application in Synchronous Generators." Applied Mechanics and Materials 448-453 (October 2013): 2616–25. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.2616.
Повний текст джерелаKarayaka, H. B., A. Keyhani, G. T. Heydt, B. L. Agrawal, and D. A. Selin. "Synchronous generator model identification and parameter estimation from operating data." IEEE Transactions on Energy Conversion 18, no. 1 (March 2003): 121–26. http://dx.doi.org/10.1109/tec.2002.808347.
Повний текст джерелаNie, Yonghui, He Wang, Lei Gao, Chunying Wu, and Meng Xi. "Adaptive Parameter Estimation for Static Var Generators Based on Wind Speed Fluctuation of Wind Farms." International Transactions on Electrical Energy Systems 2022 (March 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/3877777.
Повний текст джерелаGhahremani, E., M. Karrari, and O. P. Malik. "Synchronous generator third-order model parameter estimation using online experimental data." IET Generation, Transmission & Distribution 2, no. 5 (2008): 708. http://dx.doi.org/10.1049/iet-gtd:20080175.
Повний текст джерелаДисертації з теми "Generator parameter estimation"
Junior, Edson Luis Geraldi. "Parameter estimation for a three-phase distributed synchronous generator model using noisy measurements." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-19102018-143704/.
Повний текст джерелаOs modelos simplificados de geradores síncronos, amplamente utilizados em estudos de estabilidade de grandes sistemas elétricos de potência, não são completamente adequados para a análise de estabilidade e projetos de controladores dos geradores síncronos distribuídos, geralmente conectados a sistemas tipicamente desequilibrados. Para que os sistemas com geração distribuída possam ser analisados mais fidedignamente, é necessária a utilização de um modelo de gerador síncrono que considere a variação de frequência em suas equações elétricas. Além disso, esse modelo também deve ser capaz de representar possíveis tensões trifásicas desequilibradas nos terminais do gerador. Entretanto, para que esse modelo mais detalhado possa fornecer respostas coerentes com a realidade, deve-se conhecer seus parâmetros. Dessa forma, este trabalho avalia a influência dos parâmetros nas respostas de um modelo de gerador síncrono mais detalhado, adequado para representar operações desbalanceadas, e propõe uma abordagem para a estimação de seus parâmetros mais importantes. Nessa estrutura, inicialmente empregam-se as Funções de Sensibilidade de Trajetória para avaliar a dependência das respostas desse modelo em relação aos seus parâmetros e, a partir disso, ordená-los conforme sua importância. Em seguida, aplica-se um processo de estimação que utiliza o Filtro de Kalman Unscented com o auxílio de um algoritmo genético para estimar os principais parâmetros desse modelo de gerador síncrono em condições de desbalanço. Para a obtenção dos resultados e consequente avaliação da abordagem de estimação proposta, utiliza-se um sistema composto por um gerador síncrono conectado a uma carga trifásica desbalanceada. Além da operação desbalanceada desse sistema teste, também são considerados ruídos devidos ao constante chaveamento de cargas, típicos de sistemas de distribuição. As estimações realizadas para três condições de operação do gerador foram bem satisfatórias, indicando a eficiência da abordagem proposta na obtenção de modelos adequados para descrever a operação de geradores síncronos em condições de desbalanço.
Hasan, S. M. Nayeem. "Hybrid Electric Vehicle Powertrain: On-line Parameter Estimation of an Induction Motor Drive and Torque Control of a A PM BLDC Starter-generator." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1208185834.
Повний текст джерелаCari, Elmer Pablo Tito. "Metodologia de estimação de parâmetros de sistemas dinâmicos não-lineares com aplicação em geradores síncronos." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-06052009-101122/.
Повний текст джерелаThis research proposes a new methodology to estimate parameters of synchronous generators based on trajectory sensitivity analysis. This new methodology was created to overcome convergence difficulties presented by the traditional trajectory sensitivity methodology due to: (i) low robustness with relation to initial parameter values and noisy measurements; and (ii) singularities in the algebraic equation of the model of differential-algebraic equations (DAEs) that lead to the nonexistence of solutions, especially when the parameters are far from of the true values. Although the methodology has been developed to solve the synchronous generator problem, it is general and can be used for many types of nonlinear dynamic systems. Therefore, the main contribution of this thesis is the proposal of a new methodology based on trajectory sensitivity to estimate parameters of nonlinear dynamic systems with constraints, i.e., systems modeled by DAEs. More precisely, the equality constraint of the dynamic system is relaxed by an alternative formulation based on the minimization of the algebraic function of the model of DAEs. A second contribution of the thesis is related to the model of the generator. For this intention, the selection of the state variables, inputs and outputs is fundamental for the success of the parameter estimation methodology. In this thesis, this selection allows the generators mechanical and electrical parameters be estimated independently. In order to estimate the electrical parameters, the generator is modeled by a set of convenient DAEs to fulfill the following practical requirements: (i) estimation of the generator parameters from the disturbance measurements obtained with the machine in operation; (ii) use of easily accessible measurements; and (iii) independence of the network parameter. As a final result, an algorithm which combines the new methodology of trajectory sensitivity to constrained systems with the two-stage estimation algorithm is proposed to estimate the generator parameters. This proposed methodology is robust for parameters initial values and fulfills the practical requirements above mentioned. In addition, the estimation of the power angle is a byproduct of the proposed methodology.
Salman, S. "Parameter estimation of synchronous generators on isolated systems." Thesis, University of Aberdeen, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.593388.
Повний текст джерелаHao, Shangyou. "Frequency and time domain parameter estimation of synchronous generators /." The Ohio State University, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487596807821502.
Повний текст джерелаGalbraith, A. S. G. "Estimation of Synchronous Generator Parameters using Time-domain Responses." Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/1663.
Повний текст джерелаPower system stability simulations are of growing importance for studying the operational integrity of modern power systems, especially in developing economies where generating and transmission capacity lead the demand by relatively small margins. The relevant model topologies, i.e. for synchronous generators, automatic voltage regulators (AVR) and governor control systems, and the simulation software tools are well established. The MATLAB® Power System Blockset provides engineers with a versatile power system stability simulation environment, particularly where the focus is on individual units or small systems. In comparison with dedicated power system simulation tools such as DIgSILENT®, the MATLAB® environment features a superior set of advanced data processing and data analysis features. This includes features such as optimisation and parameter estimation functions. The main aim of this project is to make use of the MATLAB® package in a bid to test an alternative platform with which to estimate the synchronous machine parameters. Conditioning of field data can delay the process considerably, thus the secondary task of this thesis is to solve this issue by ensuring that only one platform is needed for the entire process starting in the field and ending in the modelling and parameter estimation environment within MATLAB®. In closing, the following points summarise the essential aims of this project: • An application using MATLAB® Script must be created that is responsible for importing and processing the data, so it is suitable for analysis purposes. The processing could include cropping, scaling and filtering of data. • Once the data has been imported it must be used with appropriate models to estimate for machine parameters. This will require the use of the Power Systems Blockset. The actual estimation process also requires the creation of an effective cost function, thus a number of different scenarios will have to be investigated before a solution can be found.
Zadeh, Ramin Agha. "Performance control of distributed generation using digital estimation of signal parameters." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/47011/1/Ramin_Agha_Zadeh_Thesis.pdf.
Повний текст джерелаTsai, Hong. "Modeling and parameter estimation of synchronous generators using on-line operating data and standstill measurements /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487846885780036.
Повний текст джерелаRajaraman, Srinivasan. "Robust model-based fault diagnosis for chemical process systems." Texas A&M University, 2003. http://hdl.handle.net/1969.1/3956.
Повний текст джерелаGrymin, David J. "Two-Step System Identification and Primitive-Based Motion Planning for Control of Small Unmanned Aerial Vehicles." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/24520.
Повний текст джерелаPh. D.
Книги з теми "Generator parameter estimation"
Lehrasab, Nadeem. A generic fault detection and isolation approach for single-throw mechanical equipment. Birmingham: University of Birmingham, 1999.
Знайти повний текст джерела1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (13th : 2001 : Baden-Baden, Germany), eds. Advances in database and expert systems: Data mining and data warehousing techniques, similarity search for reusable database components, performance assessment of learning algorithms, estimation of models for expert systems, complexity evaluation of software processes, multi-agent systems, multi-agent approach to coalition formation, communication between software agents in distributed information systems, expert systems for fault diagnosis, parameter modulated fractals generators, information management in Intranet and Extranet environments. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 2001.
Знайти повний текст джерелаTorluccio, Giuseppe, Paolo Palliola, Paola Brighi, Lorenzo Dal Maso, Antonio Ciccaglione, Francesca Pampurini, and Anna Grazia Quaranta. IFRS9 e le sfide di contesto. AIFIRM, 2021. http://dx.doi.org/10.47473/2016ppa00032.
Повний текст джерелаZinn-Justin, Paul, and Jean-Bernard Zuber. Multivariate statistics. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.28.
Повний текст джерелаJoynt, Gavin M., and Gordon Y. S. Choi. Blood gas analysis in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0072.
Повний текст джерелаMonitoring and Control Using Synchrophasors in Power Systems with Renewables. Institution of Engineering & Technology, 2020.
Знайти повний текст джерелаLu, Chao, Innocent Kamwa, and Lipeng Zhu. Monitoring and Control Using Synchrophasors in Power Systems with Renewables. Institution of Engineering & Technology, 2020.
Знайти повний текст джерелаЧастини книг з теми "Generator parameter estimation"
Paszek, Stefan, Andrzej Boboń, Sebastian Berhausen, Łukasz Majka, Adrian Nocoń, and Piotr Pruski. "Method, Algorithm and Module of a Parameter Estimation Program for Mathematical Models of Synchronous Generator and Excitation Systems." In Lecture Notes in Electrical Engineering, 71–98. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37976-6_4.
Повний текст джерелаBruce, Eugene N. "A Three-Phase Model of Respiratory Rhythm Generation." In Modeling and Parameter Estimation in Respiratory Control, 107–11. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0621-4_11.
Повний текст джерелаBuzyukova, Irina, Yulia Gaidamaka, and Gennady Yanovsky. "Estimation of GoS Parameters in Intelligent Network." In Smart Spaces and Next Generation Wired/Wireless Networking, 143–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04190-7_14.
Повний текст джерелаKłopotek, Robert A. "Study on the Estimation of the Bipartite Graph Generator Parameters." In Language Processing and Intelligent Information Systems, 234–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38634-3_26.
Повний текст джерелаKolesnikov, Andrey. "Estimation of QoS Parameters for RTP/UDP Video Streaming in WLANs." In Load Modelling and Generation in IP-based Networks, 251–61. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-19102-3_10.
Повний текст джерелаKolesnikov, Andrey. "Estimation of QoS Parameters for RTP/TCP Video Streaming in WLANs." In Load Modelling and Generation in IP-based Networks, 263–80. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-19102-3_11.
Повний текст джерелаCalver, Jonathan, Jienan Yao, and Wayne Enright. "Using Shooting Approaches to Generate Initial Guesses for ODE Parameter Estimation." In Springer Proceedings in Mathematics & Statistics, 267–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63591-6_25.
Повний текст джерелаFresewinkel, T. "Recursive Estimation of Order and Parameters of a Pilot Plant Turbo Generator." In Stochastic Processes in Physics and Engineering, 91–105. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2893-0_5.
Повний текст джерелаSatapathy, Monalisha, and Mohit Lal. "Simultaneous Estimation of Speed-Dependent Parameters in a Coupled Turbo Generator System." In Lecture Notes in Mechanical Engineering, 149–57. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5693-7_11.
Повний текст джерелаGalkin, Anatoly M., Olga A. Simonina, and Gennady G. Yanovsky. "Multiservice IP Network QoS Parameters Estimation in Presence of Self-similar Traffic." In Next Generation Teletraffic and Wired/Wireless Advanced Networking, 235–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11759355_23.
Повний текст джерелаТези доповідей конференцій з теми "Generator parameter estimation"
Aljabrine, Abdulwahab, Brian K. Johnson, and Normann Fischer. "Synchronous Generator Testbed for Parameter Estimation." In 2021 IEEE International Electric Machines & Drives Conference (IEMDC). IEEE, 2021. http://dx.doi.org/10.1109/iemdc47953.2021.9449602.
Повний текст джерелаWei Chen, Qingwu Gong, Lidan Zhang, Huali Chen, and Tao Wang. "A hybrid algorithm for synchronous generator parameter estimation." In 2009 4th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2009. http://dx.doi.org/10.1109/iciea.2009.5138685.
Повний текст джерелаAgahi, H., M. Karrari, and A. Mahmoodzadeh. "Two New Methods for Synchronous Generator Parameter Estimation." In 2007 IEEE Power Tech. IEEE, 2007. http://dx.doi.org/10.1109/pct.2007.4538462.
Повний текст джерелаMogharbel, Bander, Lingling Fan, and Zhixin Miao. "Least squares estimation-based synchronous generator parameter estimation using PMU data." In 2015 IEEE Power & Energy Society General Meeting. IEEE, 2015. http://dx.doi.org/10.1109/pesgm.2015.7286559.
Повний текст джерелаChowdhury, S. Dutta, and N. Senroy. "PMU data based online parameter estimation of synchronous generator." In 2016 IEEE 6th International Conference on Power Systems (ICPS). IEEE, 2016. http://dx.doi.org/10.1109/icpes.2016.7584050.
Повний текст джерелаBekker, J. C., and H. J. Vermeulen. "Parameter estimation of a doubly-fed induction generator in a wind generation topology." In 2012 47th International Universities Power Engineering Conference (UPEC). IEEE, 2012. http://dx.doi.org/10.1109/upec.2012.6398607.
Повний текст джерелаChoi, HyungJoo, and HeungHo Lee. "Parameter estimation of the synchronous generator exciter based on PSO." In 2014 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2014. http://dx.doi.org/10.1109/icit.2014.6894953.
Повний текст джерелаKhazeiynasab, Seyyed Rashid, Junjian Qi, and Issa Batarseh. "Generator Parameter Estimation by Q-Learning Based on PMU Measurements." In 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). IEEE, 2021. http://dx.doi.org/10.1109/isgt49243.2021.9372221.
Повний текст джерелаAgahi, H., M. Karrari, W. Rosehart, and O. P. Malik. "Application of active identification method to synchronous generator parameter estimation." In 2006 IEEE Power Engineering Society General Meeting. IEEE, 2006. http://dx.doi.org/10.1109/pes.2006.1709158.
Повний текст джерелаMitra, Arindam, Abheejeet Mohapatra, and Saikat Chakrabarti. "Parameter Estimation of a Synchronous Generator at Moderate Measurement Sampling Rate." In 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). IEEE, 2019. http://dx.doi.org/10.1109/isgteurope.2019.8905685.
Повний текст джерелаЗвіти організацій з теми "Generator parameter estimation"
Meliopoulos, Sakis, George Cokkinides, Bruce Fardanesh, and Clinton Hedrington. Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1176943.
Повний текст джерелаDinovitzer, Aaron. PR-214-154503-R01 Pipeline Strains Induced by Slope Movement. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), August 2019. http://dx.doi.org/10.55274/r0011609.
Повний текст джерелаBrown, R. J. L51598 Tow Methods Design Guide for the Installation of Offshore Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 1989. http://dx.doi.org/10.55274/r0010093.
Повний текст джерелаSaltus, Christina, Molly Reif, and Richard Johansen. waterquality for ArcGIS Pro Toolbox. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42240.
Повний текст джерелаSaltus, Christina, Molly Reif, and Richard Johansen. waterquality for ArcGIS Pro Toolbox : user's guide. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45362.
Повний текст джерелаLacerda Silva, P., G. R. Chalmers, A. M. M. Bustin, and R. M. Bustin. Gas geochemistry and the origins of H2S in the Montney Formation. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329794.
Повний текст джерелаWideman, Jr., Robert F., Nicholas B. Anthony, Avigdor Cahaner, Alan Shlosberg, Michel Bellaiche, and William B. Roush. Integrated Approach to Evaluating Inherited Predictors of Resistance to Pulmonary Hypertension Syndrome (Ascites) in Fast Growing Broiler Chickens. United States Department of Agriculture, December 2000. http://dx.doi.org/10.32747/2000.7575287.bard.
Повний текст джерела