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Статті в журналах з теми "Limited power point tracking"
KAYIŞLI, Korhan, and Ruhi Zafer CAGLAYAN. "Twisting Sliding Mode Control based Maximum Power Point Tracking." Balkan Journal of Electrical and Computer Engineering 10, no. 4 (October 1, 2022): 356–62. http://dx.doi.org/10.17694/bajece.1137170.
Повний текст джерелаSrinivas, Paruchuri, and P. Swapna. "Maximum Power Point Tracking Algorithm for Advanced Photovoltaic Systems." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 9 (September 30, 2022): 26–39. http://dx.doi.org/10.17762/ijritcc.v10i9.5748.
Повний текст джерелаMaimun, Maimun, and Subhan Subhan. "Different Techniques of Multiple Power Point Tracking for Photovoltaic Systems." Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika 19, no. 1 (April 4, 2022): 24. http://dx.doi.org/10.30811/litek.v19i1.2887.
Повний текст джерелаMaimun, Maimun, and Subhan Subhan. "Different Techniques of Multiple Power Point Tracking for Photovoltaic Systems." Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika 19, no. 1 (April 4, 2022): 24. http://dx.doi.org/10.30811/litek.v19i1.2887.
Повний текст джерелаAbo-Sennah, M. A., M. A. El-Dabah, and Ahmed El-Biomey Mansour. "Maximum power point tracking techniques for photovoltaic systems: a comparative study." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (February 1, 2021): 57. http://dx.doi.org/10.11591/ijece.v11i1.pp57-73.
Повний текст джерелаAourir, Jamila, and Fabrice Locment. "Limited Power Point Tracking for a Small-Scale Wind Turbine Intended to Be Integrated in a DC Microgrid." Applied Sciences 10, no. 22 (November 12, 2020): 8030. http://dx.doi.org/10.3390/app10228030.
Повний текст джерелаKozalakis, Konstantinos, Ioannis Sofianidis, Vasileios Konstantakos, Kostas Siozios, and Stylianos Siskos. "73.5 uW Indoor-Outdoor Light Harvesting System with Global Maximum Power Point Tracking." Journal of Low Power Electronics and Applications 11, no. 1 (February 14, 2021): 10. http://dx.doi.org/10.3390/jlpea11010010.
Повний текст джерелаMr. Amol Barve, Mrs Ruchi Singh Chauhan. "MPSO-MPPT based Single Phase Grid PV System for Power Enhancement." SMART MOVES JOURNAL IJOSCIENCE 4, no. 4 (April 20, 2018): 12. http://dx.doi.org/10.24113/ijoscience.v4i4.129.
Повний текст джерелаDerbeli, Mohamed, Oscar Barambones, and Lassaad Sbita. "A Robust Maximum Power Point Tracking Control Method for a PEM Fuel Cell Power System." Applied Sciences 8, no. 12 (December 1, 2018): 2449. http://dx.doi.org/10.3390/app8122449.
Повний текст джерелаSyzdykov, A. B. "LGORITHM FOR FINDING MAXIMUM POWER POINT TRACKING WHEN SHADOWING OR FAILURE OF SOLAR PANELPHOTO CELLS ON SATELLITES USING LOW ORBITS." Eurasian Physical Technical Journal 20, no. 1(43) (March 20, 2023): 65–72. http://dx.doi.org/10.31489/2023no1/65-72.
Повний текст джерелаДисертації з теми "Limited power point tracking"
Liu, Hongliang. "Contribution for integrating urban wind turbine into electrical microgrid : modeling and control." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2331/document.
Повний текст джерелаThe integration of the wind power, which is one mostly used renewable resource, is always one challenger for urban microgrid. In this thesis, one urban wind turbine based on a permanent magnet synchronous machine (PMSM) is studied in order to be integrated into a DC urban microgrid. A state of the art concerning the renewable energies, DC microgrid, and control strategies of wind power generation is done. Based on a model of urban wind turbine fitting the demand of urban electric system, which consists of an emulator of wind speed and blades, a PMSM and a DC/DC converter, this thesis proposes the maximum power point tracking (MPPT) methods satisfying the requirement of producing energy as much as possible, and power limited control (PLC) strategies answering the demand of flexible energy production. From simple to complex, four MPPT algorithms including Perturbation and Observation (P&O) fixed step-size method, P&O with improved Newton-Raphson method, P&O with fuzzy logic method and lookup table method are studied and implemented to be compared with each other using three wind velocity profiles. According to the experience about MPPT subject, four PLC algorithms are introduced and implemented to be analyzed and compared with each other with one power demand profile calculated randomly. Summarizing all experimental results, the lookup table method can handle all requirement of MPPT operating mode supplying the best performance, however, in the condition of more flexible power demand operating mode, the combination of P&O and fuzzy logic method presents the best performance and potential which can be achieved in future works
Aourir, Mazian Jamila. "Modeling and control of an urban wind turbine intended to be integrated into an electrical microgrid." Electronic Thesis or Diss., Compiègne, 2022. http://www.theses.fr/2022COMP2669.
Повний текст джерелаThe high global consumption of fossil energy fuels is accelerating their depletion and threatening the Earth's environmental balance. For that, new categories of energy based on renewable sources are developed to build a new diversified and decarbonized energy mix. In order to allow a massive penetration of these renewable energy sources (RESs) into the conventional grid, the use of new electrical system structures seems to be a promising solution, taking into account several aspects such as the costs, the security of supply, and the ease of implementation. Thus, microgrids (MGs) constituted by decentralized energy sources and energy storage systems have been developed to replace or complement the main centralized grid. They can ensure some support functions, i.e., enhancement of the grid stability, black-start operation, replacement of diesel generators, etc. In addition, the consumers become producers and are able to inject a part of their surplus of energy into the public grid. In urban areas, the solar photovoltaic (PV) system has been extensively examined for decades and is widely used thanks to its many advantages such as low environmental impact, easy integration in buildings, reduction of transportation losses, etc. Recently, small-scale wind turbines (SSWTs) are also becoming more and more used, as a complementary source for PV systems, especially for applications near ground level and in urban areas where wind speed is a few meters per second. However, the use of wind power is still nowadays a challenge for the urban MG. In this present thesis, two different types of studies are conducted for a SSWT. i) the first one concerns new power control strategies for a SSWT. It deals with limited power point tracking (LPPT) as an emerging new technology for power management controllers for SSWTs. The LPPT operates in such a way that power requested by the user can be extracted from the wind turbine (WT) while respecting constraints and limitations. However, operating in LPPT mode still requires a deep understanding to obtain a compromise between minimizing power oscillations and transient response. For that, three LPPT power control strategies for a SSWT based on the perturb and observe (P&O) principle are investigated. The proposed algorithms are P&O with fixed step size, P&O based on Newton’s method, and P&O based on the fuzzy logic (FL) technique. The experimental results highlight that all methods function correctly and reach the limited power point (LPP). The FL method shows good dynamic performances with more steady oscillations around LPP compared to other methods. ii) in the second study in this thesis, the integration of a SSWT into a direct current (DC) MG was investigated. The RESs (PV sources and WT), storage, and public grid are included and a supervisory system is suggested to manage the power. The power balance is ensured thanks to the real-time power management in the operational layer of the supervisory system. The power is managed based on the rules made according to several aspects, such as every component's energy cost or tariff and its physical limitations. Excess of power produced by PV sources and WT is one of the problems that face the reliability of the MG and should be resolved. Thus, a strategy to limit power from each source is suggested. It is based on two coefficients called “shedding coefficients” that have the role of calculating the quantity of power that should be limited from each source. Simulation tests are carried out using two power management strategies: optimization and without optimization (storage priority). The results reveal that the coefficient reduces the overall cost and whatever the coefficient that is applied, optimization still provides good performances and significantly reduces the global cost
Duncan, Joseph 1981. "A global maximum power point tracking DC-DC converter." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33152.
Повний текст джерелаIncludes bibliographical references (p. 79-80).
This thesis describes the design, and validation of a maximum power point tracking DC-DC converter capable of following the true global maximum power point in the presence of other local maximum. It does this without the use of costly components such as analog-to-digital converters and microprocessors. It substantially increases the efficiency of solar power conversion by allowing solar cells to operate at their ideal operating point regardless of changes in load, and illumination. The converter switches between a dithering algorithm which tracks the local maximum and a global search algorithm for ensuring that the converter is operating at the true global maximum.
by Joseph Duncan.
M.Eng.
Acharya, Parash. "Small Scale Maximum Power Point Tracking Power Converter for Developing Country Application." Thesis, University of Canterbury. Electrical and Computer Engineering, 2013. http://hdl.handle.net/10092/8608.
Повний текст джерелаAldobhani, Abdulaziz Mohamed Saeed. "Maximum power point tracking of PV system using ANFIS prediction and fuzzy logic tracking." Thesis, De Montfort University, 2008. http://hdl.handle.net/2086/4284.
Повний текст джерелаGamboa, Gustavo. "REALIZATION OF POWER FACTOR CORRECTION AND MAXIMUM POWER POINT TRACKING FOR LOW POWER WIND TURBINES." Master's thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4283.
Повний текст джерелаM.S.E.E.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering MSEE
Aashoor, Fathi. "Maximum power point tracking techniques for photovoltaic water pumping system." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.683537.
Повний текст джерелаSanders, Dustin R. "Maximum Power Point Tracking and Communications for Solar Powered Vehicles." Thesis, Southern Illinois University at Edwardsville, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10010780.
Повний текст джерелаThe SIUe solar car team lacks a competitive communication system. To enable the competitive edge a major upgrade to the electronics and wiring was required. A new maximum power point tracker and driver support system was developed to give them the competitive edge.
Kang, Byung O. "Maximum Power Point Tracking Using Kalman Filter for Photovoltaic System." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/30920.
Повний текст джерелаMaster of Science
Gohar, Ali Hina. "Maximum Power Point Tracking of Photovoltaic system using Non-Linear Controllers." Doctoral thesis, Universitat Autònoma de Barcelona, 2020. http://hdl.handle.net/10803/671122.
Повний текст джерелаLa creciente demanda de energía, el agotamiento de los combustibles fósiles y el aumento del calentamiento global debido a la emisión de carbono han hecho surgir la necesidad de un sistema energético alternativo, de eficiencia general y respetuoso con el medio ambiente. La energía solar se considera una de las formas de energía más inagotables de este universo, pero tiene el problema de la baja eficiencia debido a las diferentes condiciones ambientales. El panel solar exhibe un comportamiento no lineal en condiciones climáticas reales y la potencia de salida fluctúa con la variación de la irradiancia solar y la temperatura. Las condiciones climáticas cambiantes y el comportamiento no lineal de los sistemas fotovoltaicos plantean un desafío en el seguimiento de la variación máxima de PowerPoint. Por lo tanto, para extraer y entregar continuamente la máxima potencia posible del sistema fotovoltaico, en determinadas condiciones ambientales, se debe formular la estrategia de control de seguimiento del punto de máxima potencia (MPPT) que opere continuamente el sistema fotovoltaico en su MPP. Se requiere un controlador no lineal robusto para asegurar MPPT manejando las no linealidades de un sistema y haciéndolo robusto frente a condiciones ambientales cambiantes. El control de modo deslizante (SMC) se usa ampliamente en sistemas de control no lineales y se ha implementado en sistemas fotovoltaicos (PVC) para rastrear MPP. SMC es robusto contra perturbaciones, incertidumbres del modelo y variaciones paramétricas. Representa fenómenos indeseables como el parloteo, inherentes a él, que provocan pérdidas de energía y calor. En esta tesis, en primer lugar, se formula un controlador SMC de orden entero para extraer la máxima potencia de un sistema fotovoltaico solar en condiciones climáticas variables empleando el esquema MPPT de perturbar y observar (P&O) para el sistema fotovoltaico autónomo propuesto. El sistema propuesto consta de dos esquemas de bucles, a saber, el bucle de búsqueda y el bucle de seguimiento. P&O MPPT se utiliza en el bucle de búsqueda para generar la señal de referencia y se utiliza un controlador SMC de seguimiento en el otro bucle para extraer la máxima potencia fotovoltaica. El sistema fotovoltaico está conectado con la carga a través del convertidor elevador DC-DC electrónico de potencia. Primero se deriva un modelo matemático del convertidor elevador y, en base al modelo derivado, se formula un SMC para controlar los pulsos de puerta del interruptor del convertidor elevador. La estabilidad del sistema de circuito cerrado se verifica mediante el teorema de estabilidad de Lyapunov. El esquema de control propuesto se prueba bajo diferentes niveles de irradiancia y los resultados de la simulación se comparan con el controlador clásico proporcional integral derivado (PID). El SMC clásico describe fenómenos indeseables como el parloteo, inherente a él, que causa pérdidas de energía y calor. En la siguiente parte de esta tesis, se analiza el diseño del controlador de modo deslizante adaptativo (ASMC) para el sistema fotovoltaico propuesto. El control adoptado se ejecuta utilizando un ASMC y la mejora se actualiza utilizando un algoritmo de optimización MPPT del Método de búsqueda de patrón mejorado (IPSM). Se utiliza un IPSM MPPT para generar el voltaje de referencia para controlar el controlador ASMC subyacente. Se ha realizado una comparación con otros dos algoritmos de optimización, a saber, Perturb \ Observe (P&O) y Particle Swarm Optimization (PSO) con IPSM para MPPT. Como estrategia no lineal, la estabilidad del controlador adaptativo está garantizada mediante la realización de un análisis de Lyapunov.
The increasing energy demands, depleting fossil fuels, and increasing global warming due to carbon emission has arisen the need for an alternate, overall efficiency, and environment-friendly energy system. Solar energy is considered to be one of the most inexhaustible forms of energy in this universe, but it has the problem of low efficiency due to varying environmental conditions. Solar panel exhibits nonlinear behavior under real climatic conditions and output power fluctuates with the variation in solar irradiance and temperature. Changing weather conditions and nonlinear behavior of PV systems pose a challenge in the tracking of varying maximum PowerPoint. Hence, to continuously extract and deliver the maximum possible power from the PV system, under given environmental conditions, the maximum power point tracking (MPPT) control strategy needs to be formulated that continuously operates the PV system at its MPP. A robust nonlinear controller is required to ensure MPPT by handling nonlinearities of a system and making it robust against changing environmental conditions. Sliding mode control (SMC) is extensively used in non-linear control systems and has been implemented in photovoltaic systems (PV) to track MPP. SMC is robust against disturbances, model uncertainties, and parametric variations. It depicts undesirable phenomena like chattering, inherent in it causing power and heat losses. In this thesis, first, an integer order SMC controller is formulated for extracting maximum power from a solar PV system under variable climatic conditions employing the perturb and observe (P&O) MPPT scheme for the proposed stand-alone PV system. The proposed system consists of two loops schemes, namely the searching loop and the tracking loop. P&O MPPT is utilized in the searching loop to generate the reference signal and a tracking SMC controller is utilized in the other loop to extract the maximum PV power. PV system is connected with load through the power electronic DC-DC boost converter. A mathematical model of the boost converter is derived first, and based on the derived model, an SMC is formulated to control the gate pulses of the boost converter switch. The closed-loop system stability is verified through the Lyapunov stability theorem. The proposed control scheme is tested under varying irradiance levels and the simulation results are compared with the classical proportional integral derivative (PID) controller. Classical SMC depicts undesirable phenomena like chattering, inherent in it causing power and heat losses. In the next part of this thesis, the design of the adaptive sliding mode controller (ASMC) is discussed for the proposed PV system. The adopted control is executed utilizing an ASMC and the enhancement is actualized utilizing an Improved Pattern Search Method (IPSM) MPPT optimization algorithm. An IPSM MPPT is used to generate the reference voltage in order to command the underlying ASMC controller. Comparison with two other optimization algorithms, namely, a Perturb & Observe (P&O) and Particle Swarm Optimization (PSO) with IPSM for MPPT has been conducted. As a non-linear strategy, the stability of the adaptive controller is guaranteed by conducting a Lyapunov analysis. The performance of the proposed control architectures is validated by comparing the proposals with that of the well-known and widely used PID controller. The simulation results validate that the proposed controller effectively improves the voltage tracking, system power with reduced chattering effect, and steady-state error. A tabular comparison is provided at the end of each optimization algorithm category as a resume quantitative comparison. It is anticipated that this work will serve as a reference and provides important insight into MPPT control of the PV systems.
Книги з теми "Limited power point tracking"
Eltamaly, Ali M., and Almoataz Y. Abdelaziz, eds. Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-05578-3.
Повний текст джерелаGreat Britain. Her Majesty's Inspectorate of Pollution. Radioactive Substances Act 1993: Decisions by the Chief Inspector and the Minister on applications by the AGR & PWR Company Limited to dispose of radioactive wastes from the Dungeness B, Hartlepool, Heysham 1, Heysham 2, Hinkley Point B and Sizewell B nuclear power stations. [London]: Her Majesty's Inspectorate of Pollution and Ministry of Agriculture, Fisheries and Food, 1996.
Знайти повний текст джерелаFurst, Eric M., and Todd M. Squires. Interferometric tracking. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199655205.003.0006.
Повний текст джерелаHébert, Maurice. Maximum Power Point Tracking: Background, Implementation and Classification. Nova Science Publishers, Incorporated, 2020.
Знайти повний текст джерелаEltamaly, Ali M., and Almoataz Y. Abdelaziz. Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Springer, 2019.
Знайти повний текст джерелаSharma, Kamalkant, Sahil Attri, and Inderpreet Kaur. Maximum Power Point Tracking for Partially Shaded Photovoltaic Arrays Using ANN. Independently Published, 2019.
Знайти повний текст джерелаGeneration of Sinusoidal Voltage for Grid Connected Systems Using Maximum Power Point Tracking Technique. Karur, India: ASDF International, 2017.
Знайти повний текст джерелаFukuyama, Francis, and Francesca Recanatini. Beyond Measurement. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198817062.003.0003.
Повний текст джерелаTourneau, Thierry Le, Luis Caballero, and Tsai Wei-Chuan. Right atrium. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0024.
Повний текст джерелаJennings, Jeremy. Early Nineteenth-Century Liberalism. Edited by George Klosko. Oxford University Press, 2011. http://dx.doi.org/10.1093/oxfordhb/9780199238804.003.0020.
Повний текст джерелаЧастини книг з теми "Limited power point tracking"
Abdel-Salam, Mazen, Mohamed-Tharwat EL-Mohandes, and Mohamed Goda. "History of Maximum Power Point Tracking." In Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems, 1–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05578-3_1.
Повний текст джерелаYadav, Dilip, and Nidhi Singh. "Intelligent Techniques for Maximum Power Point Tracking." In Artificial Intelligence for Solar Photovoltaic Systems, 105–27. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003222286-5.
Повний текст джерелаYadav, Shilpi, Kamlesh K. Bharti, Vijay Kumar Tewari, Santosh Kumar Tripathi, and Rajesh Kumar. "Conventional Techniques for Maximum Power Point Tracking." In Artificial Intelligence for Solar Photovoltaic Systems, 79–103. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003222286-4.
Повний текст джерелаLyden, Sarah, M. Enamul Haque, and M. Apel Mahmud. "Maximum Power Point Tracking Methods for PV Systems." In Advances in Solar Photovoltaic Power Plants, 79–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-50521-2_4.
Повний текст джерелаGuan, Ti, Lin Lin, Dawei Wang, Xin Liu, Wenting Wang, Jianpo Li, and Pengwei Dong. "Global Maximum Power Point Tracking Algorithm for Solar Power System." In Advances in Intelligent Information Hiding and Multimedia Signal Processing, 249–58. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9710-3_26.
Повний текст джерелаŠkamo, Aida, Mirza Šarić, and Lejla Vuić. "Comparison of Different Maximum Power Point Tracking Algorithms." In Lecture Notes in Networks and Systems, 117–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90055-7_10.
Повний текст джерелаMojallizadeh, M. R., and M. A. Badamchizadeh. "Application of Sliding-Mode Control for Maximum Power Point Tracking of PV Systems." In Power Systems, 25–43. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6151-7_2.
Повний текст джерелаXu, Wei, Chaoxu Mu, and Lei Tang. "Advanced Control Techniques for PV Maximum Power Point Tracking." In Advances in Solar Photovoltaic Power Plants, 43–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-50521-2_3.
Повний текст джерелаWang, Meng-Hui, Wei-Jhe Jiang, and Mei-Ling Huang. "An Intelligence Maximum Power Point Tracking Controller for Human Power System." In Intelligent Information and Database Systems, 573–82. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15702-3_55.
Повний текст джерелаFan, Rong, XiuXia Zhang, and ShunXian Bai. "A Maximum Power Point Tracking Method for Photovoltaic Systems." In Proceedings of the Second International Conference on Mechatronics and Automatic Control, 221–28. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13707-0_25.
Повний текст джерелаТези доповідей конференцій з теми "Limited power point tracking"
Venturini, R. P., V. V. R. Scarpa, G. Spiazzi, and S. Buso. "Analysis of limit cycle oscillations in maximum power point tracking algorithms." In 2008 IEEE Power Electronics Specialists Conference - PESC 2008. IEEE, 2008. http://dx.doi.org/10.1109/pesc.2008.4591959.
Повний текст джерелаJeon, Woongsun, and Rajesh Rajamani. "Active Sensing on a Bicycle for Accurate Tracking of Rear Vehicle Maneuvers." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9772.
Повний текст джерелаJani, Kavan, Hong Zhou, and Chung Leung. "Linkage Synthesis for Solar Tracking." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86471.
Повний текст джерелаEsfandiari, Masoumeh, and Nariman Sepehri. "Design and Stability Analysis of a QFT Pressure Controller of a Hydraulic Actuator Using Takagi-Sugeno Fuzzy Model." In ASME/BATH 2015 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/fpmc2015-9636.
Повний текст джерелаDavis, Edward P., R. Cengiz Ertekin, and H. Ronald Riggs. "A Buoy-Based WEC Device to Provide Low Power to Sensors." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-80091.
Повний текст джерелаMacAlpine, Sara M., Michael J. Brandemuehl, Leonor L. Linares, and Robert W. Erickson. "Effect of Distributed Power Conversion on the Annual Performance of Building-Integrated PV Arrays With Complex Roof Geometries." In ASME 2009 3rd International Conference on Energy Sustainability collocated with the Heat Transfer and InterPACK09 Conferences. ASMEDC, 2009. http://dx.doi.org/10.1115/es2009-90377.
Повний текст джерелаMacAlpine, Sara M., Michael J. Brandemuehl, and Robert W. Erickson. "Analysis of Potential for Mitigation of Building-Integrated PV Array Shading Losses Through Use of Distributed Power Converters." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90261.
Повний текст джерелаRestrepo, Bernardo, Larry E. Banta, and David Tucker. "Simulation of Model Predictive Control for a Fuel Cell/Gas Turbine Power System Based on Experimental Data and the Recursive Identification Method." In ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2016 Power Conference and the ASME 2016 10th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fuelcell2016-59378.
Повний текст джерелаXiaodong Zhang, Wenlong Li, and Jiangui Li. "Thermoelectric power generation with maximum power point tracking." In 8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1787.
Повний текст джерелаMoreno-Torres, Pablo, Jorge Torres, Marcos Lafoz, Miguel Yeguas, and Jaime R. Arribas. "Minimum losses point tracking and minimum current point tracking in interior PMSMs." In 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe). IEEE, 2016. http://dx.doi.org/10.1109/epe.2016.7695526.
Повний текст джерела