Готові списки джерел за темами / Photovoltaic power systems Computer simulation

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Добірка наукової літератури з теми "Photovoltaic power systems Computer simulation"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Photovoltaic power systems Computer simulation"

1

Saidi, Abdelaziz Salah. "Impact of large photovoltaic power penetration on the voltage regulation and dynamic performance of the Tunisian power system." Energy Exploration & Exploitation 38, no. 5 (2020): 1774–809. http://dx.doi.org/10.1177/0144598720940864.

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Анотація:
By the year 2023, the Tunisian power transmission grid has been projected to include photovoltaic pool of power of 937 MW, scattered throughout the whole landscape of the nation. This paper investigates high photovoltaic energy penetration impacts voltage regulation and dynamic performance of the grid. Load flow analysis is implemented to investigate the power system capability for the case of incorporating the desired photovoltaic power. Computer-based simulations have been used for evaluating the upgradation of the grid. Moreover, the study is based on bifurcation diagrams taking the photovoltaic generation as a bifurcation parameter and time response simulations to grid disturbances. Professional PSAT simulation toolbox has been used for the power flow simulation studies. Network- related faults like outage of photovoltaic farm event, three-phase short-circuit at a conventional bus, and voltage dip at the largest photovoltaic station have been considered. It is hoped that the results of the presented study would benefit Tunisian’s utility’s policies on integration of PV systems. Moreover, this comprehensive analysis and study will be a valuable guide for assessing and improving the performance of national grid systems of any other countries also, that gives the huge potential and need for solar energy penetration into the grid systems.
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2

Nema Hawas, Majli, Ihsan Jabbar Hasan, and Mohannad Jabbar Mnati. "Simulation and analysis of the distributed photovoltaic generation systems based on DIgSILENT power factory." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1227. http://dx.doi.org/10.11591/ijeecs.v28.i3.pp1227-1238.

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Анотація:
The voltage <span>stability of the system has become an important component for the steady and dependable functioning of the power system as a result of multiple blackouts around the world (particularly in Iraq). Distributed photovoltaic systems are a subset of decentralized power generating systems that generate electricity using renewable energy sources like solar cells, wind turbines, and water power plants. In order to size a solar-grid-connected home system properly and to confirm the impact of photovoltaics on the system, this article will also do a steady-state analysis. The heating and cooling loads were taken into account when evaluating the residential load profile. With the help of predicted energy use, the photovoltaic (PV) system was sized. The solar system's power output was calculated, and the key variables affecting system performance were examined. The DigSilent power factory 15.2 was used to simulate all of the investigations. This article achieves better system stability outcomes.</span>
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3

Henao-Bravo, Elkin Edilberto, Carlos Andrés Ramos-Paja, Andrés Julián Saavedra-Montes, Daniel González-Montoya, and Julián Sierra-Pérez. "Design Method of Dual Active Bridge Converters for Photovoltaic Systems with High Voltage Gain." Energies 13, no. 7 (2020): 1711. http://dx.doi.org/10.3390/en13071711.

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In this paper, a design method for a photovoltaic system based on a dual active bridge converter and a photovoltaic module is proposed. The method is supported by analytical results and theoretical predictions, which are confirmed with circuital simulations. The analytical development, the theoretical predictions, and the validation through circuital simulations, are the main contributions of the paper. The dual active bridge converter is selected due to its high efficiency, high input and output voltages range, and high voltage-conversion ratio, which enables the interface of low-voltage photovoltaic modules with a high-voltage dc bus, such as the input of a micro-inverter. To propose the design method, the circuital analysis of the dual active bridge converter is performed to describe the general waveforms derived from the circuit behavior. Then, the analysis of the dual active bridge converter, interacting with a photovoltaic module driven by a maximum power point tracking algorithm, is used to establish the mathematical expressions for the leakage inductor current, the photovoltaic current, and the range of operation for the phase shift. The design method also provides analytical equations for both the high-frequency transformer equivalent leakage inductor and the photovoltaic side capacitor. The design method is validated through detailed circuital simulations of the whole photovoltaic system, which confirm that the maximum power of the photovoltaic module can be extracted with a correct design of the dual active bridge converter. Also, the theoretical restrictions of the photovoltaic system, such as the photovoltaic voltage and power ripples, are fulfilled with errors lower than 2% with respect to the circuital simulations. Finally, the simulation results also demonstrate that the maximum power point for different environmental conditions is reached, optimizing the phase shift factor with a maximum power point tracking algorithm.
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Frydrychowicz-Jastrzębska, Grażyna. "Maximum power point tracking in photovoltaic systems." ITM Web of Conferences 28 (2019): 01021. http://dx.doi.org/10.1051/itmconf/20192801021.

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The subject of the analysis was the optimisation of interoperation between the photovoltaic battery (PV) and DC motor, which drives a fan, with respect to the maximum efficiency of conversion of the electric energy into mechanical energy. Based on the block diagram, a mathematical model of this circuit was developed to ensure the mutual matching between the Maximum Power Point (MPP) of the battery and the receiver operation point. A computer simulation of the battery characteristics was conducted taking into account the changing MPP location on the characteristic vs. changes in solar radiation and temperature. The issue was considered for the optimal motor excitation coefficient, both changing and averaged in time. The energy conversion efficiency was determined for selected PV modules, as well as time.
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Tugay, D. V., S. I. Korneliuk, O. O. Shkurpela, and V. S. Akimov. "Simulation of industrial solar photovoltaic station with transformerless converter system." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 5 (2020): 73–79. http://dx.doi.org/10.33271/nvngu/2021-5/073.

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Анотація:
Purpose. Creation of a detailed model of a solar photovoltaic station with a converter system based on a cascaded multi-level inverter with the MPPT (maximum power point tracker) function to investigate its operating modes in distributed power systems. Methodology. To carry out the research, the paper used the methods of system synthesis, mathematical and computer modeling to create photovoltaic station models and components; a physical experiment in obtaining thermal characteristics of the photovoltaic module Solarday SDM72360 W; modern power theories for synthesis of the vector control system of a multi-level inverter. Findings. the Matlab-model of solar photovoltaic station with transformerless 29-level cascade voltage inverter is synthesized. The model confirmed the serviceability and efficiency of the converter system and the power plant as a whole. An algorithm is proposed and an MPP tracker with volt-ampere characteristics of the photovoltaic module, which corresponds to the maximum power extraction, is synthesized on the basis of the algorithm. The algorithm was validated by the model for any solar radiation intensity. Originality. The total mathematical model of the photoelectric module, which accounts for its energy and heat characteristics, is obtained and can be used for simulating the operation of any computer model of the photoelectric converter under Matlab/Simulink/SimPowerSystems environment. Practical value. The model results indicate the prospects of industrial implementation of transformerless multi-level converter systems to be used in the structure of powerful solar photovoltaic stations.
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Deng, Jun, Nan Xia, Jungang Yin, Jiliang Jin, Shutao Peng, and Tong Wang. "Small-Signal Modeling and Parameter Optimization Design for Photovoltaic Virtual Synchronous Generator." Energies 13, no. 2 (2020): 398. http://dx.doi.org/10.3390/en13020398.

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Анотація:
With the continuous proliferation of renewable energy generation, distributed photovoltaic inverters operating at a maximum power point reduce the inertia of power systems, degrading system frequency stability and potentially causing severe oscillations in systems after being disturbed. The virtual synchronous generator (VSG) control method, which causes photovoltaic inverters to possess inertia and damping, now plays an important role in the field of distributed generation. However, while introducing the advantages of synchronous machines, problems with oscillations are also introduced and the stochastic fluctuation characteristic of photovoltaics results in the stochastic drifting of the operating point. This paper presents an adaptive controller parameter design method for a photovoltaic-VSG (PV-VSG) integrated power system. Firstly, a small-signal model of the PV-VSG is built and a state space model is deduced. Then, the small-signal stability and low frequency oscillation characteristics of the photovoltaic power generation system are analyzed. Finally, considering the limitations of system oscillations and the stochastic drifting of the operating point, a global optimization design method for controller parameters used to improve system stability is proposed. The time domain simulation shows that an optimized PV-VSG could provide sufficient damping in the case of photovoltaic power output changes across a wider range.
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7

Zheng, Gu Ping, and Wei Yang. "Research on Energy Conversion Model of Solar Photovoltaic Power Generation System." Advanced Materials Research 429 (January 2012): 222–28. http://dx.doi.org/10.4028/www.scientific.net/amr.429.222.

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Анотація:
Solar photovoltaic power is a new form of new energy. It is the energy conversion model that change solar energy into light energy. This article is that energy conversion model of solar photovoltaic power generation system was studied. For household photovoltaic power generation systems, the system’s energy conversion is described by mathematical calculation and computer simulation. It makes an intensive study of the process of radiation, battery energy and power conversion during the whole course of the solar photovoltaic power generation.
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8

Leigh, R. W., P. D. Metz, and K. Michalek. "Photovoltaic-Electrolyzer System Transient Simulation Results." Journal of Solar Energy Engineering 108, no. 2 (1986): 89–94. http://dx.doi.org/10.1115/1.3268086.

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Анотація:
Brookhaven National Laboratory has developed a Hydrogen Technology Evaluation Center to illustrate advanced hydrogen technology. The first phase of this effort investigated the use of solar energy to produce hydrogen from water via photovoltaic-powered electrolysis. A coordinated program of system testing, computer simulation, and economic analysis has been adopted to characterize and optimize the photovoltaic-electrolyzer system. This paper presents the initial transient simulation results. Innovative features of the modeling include the use of real weather data, detailed hourly modeling of the thermal characteristics of the PV array and of system control strategies, and examination of systems over a wide range of power and voltage ratings. The transient simulation system TRNSYS was used, incorporating existing, modified or new component subroutines as required. For directly coupled systems, we found the PV array voltage which maximizes hydrogen production to be quite near the nominal electrolyzer voltage for a wide range of PV array powers. The array voltage which maximizes excess electricity production is slightly higher. The use of an ideal (100 percent efficient) maximum power tracking system provides only a six percent increase in annual hydrogen production. An examination of the effect of PV array tilt indicates, as expected, that annual hydrogen production is insensitive to tilt angle within ± 20 deg of latitude. Summer production greatly exceeds winter generation. Tilting the array, even to 90 deg, produces no significant increase in winter hydrogen production.
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9

Henz, Cristiano Luiz, and Fabiano Perin Gasparin. "Investigation on Control Strategies for a Single-Phase Photovoltaic Inverter Using PSCAD/EMTDC Software." Power Electronics and Drives 6, no. 1 (2021): 75–99. http://dx.doi.org/10.2478/pead-2021-0006.

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Анотація:
Abstract In the last decades, electric power produced through photovoltaic conversion has been increasing because of the need to reduce fossil fuel burning. Recently, photovoltaic systems have become more competitive and their role in the renewable energies market share is steadily gaining in importance. Improvements in the power electronics employed in the DC/AC conversion are topics of interest in the quest for more efficient and eventually reduced-cost inverters. The goal of this paper is to perform an investigation of control strategies and propose a topology for a single-phase DC/AC converter for photovoltaic arrays using the simulation software Power System Computer Aided Design/ Electromagnetic Transient Design and Control (PSCAD/EMTDC). The circuit proposed in this paper employs an isolating transformer to a grid-connected photovoltaic inverter. The control strategy proposed uses the instantaneous reactive power theory (p–q theory) and phase-locked loop (PLL). The p-q theory uses two virtual axes in the Park Transformation, which provide to the control system a good dynamic response, accuracy, and decoupling between the control and power system. Computer simulations using the electromagnetic transient software PSCAD show the efficiency of the proposed strategy for a single-phase inverter. The control strategy and topology are quite simple and easy to implement in the future using a Digital Signal Processor (DSP). The results provide insights into new power electronics solutions, which can improve the efficiency and efficacy of the current available in DC/AC converters for photovoltaic systems.
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Huang, Kuo-Hua, Kuei-Hsiang Chao, Zhi-Yao Sun, and Cheng-Yi Ho. "Design and Implementation of Three-Phase Smart Inverter of the Photovoltaic Power Generation Systems." Applied Sciences 13, no. 1 (2022): 294. http://dx.doi.org/10.3390/app13010294.

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Анотація:
The main purpose of this paper is to conduct design and implementation on three-phase smart inverters of the grid-connected photovoltaic system, which contains maximum power point tracking (MPPT) and smart inverter with real power and reactive power regulation for the photovoltaic module arrays (PVMA). Firstly, the piecewise linear electrical circuit simulation (PLECS) power electronic real-time control system was applied to construct the simulation and actual test environment for the three-phase mains parallel photovoltaic system, where the KC200GT photovoltaic module was used to form a 1600W system for conducting the simulation. For enabling the PVMA to output the maximum power in terms of both insolation and ambient temperature, where the perturbation and observation (P&O) method was used for MPPT. Then, the voltage-power control technology was added to the grid-connected photovoltaic inverter. When the grid voltage p.u. value is between 1.0 and 1.03, the smart inverter starts voltage-power regulation, reducing the real power output to 1440W, and absorbing the system’s reactive power to 774VAr. The power factor of the grid system end is controlled to 0.9 (lagging), and the grid voltage is reduced to norminal value 220V. If the grid voltage p.u. value is between 0.97 and 1.0, the smart inverter starts voltage-power regulation, controlling the output real power to 1440W and the reactive power to the system to 774VAr, so that the power factor of the system end is controlled to 0.9 (leading), and the grid voltage is increased to norminal value 220V. Finally, the results from the simulation and actual test were used to demostrate the effectiveness of the regulation performance of the smart inverter.
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Дисертації з теми "Photovoltaic power systems Computer simulation"

1

Gow, John A. "Modelling, simulation and control of photovoltaic converter systems." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/6871.

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The thesis follows the development of an advanced solar photovoltaic power conversion system from first principles. It is divided into five parts. The first section shows the development of a circuit-based simulation model of a photovoltaic (PV) cell within the 'SABER' simulator environment. Although simulation models for photovoltaic cells are available these are usually application specific, mathematically intensive and not suited to the development of power electronics. The model derived within the thesis is a circuit-based model that makes use of a series of current/voltage data sets taken from an actual cell in order to define the relationships between the cell double-exponential model parameters and the environmental parameters of temperature and irradiance. Resulting expressions define a 'black box' model, and the power electronics designer may simply specify values of temperature and irradiance to the model, and the simulated electrical connections to the cell provide the appropriate I/V characteristic. The second section deals with the development of a simulation model of an advanced PVaware DC-DC converter system. This differs from the conventional in that by using an embedded maximum power tracking system within a conventional linear feedback control arrangement it addresses the problem of loads which may not require the level of power available at the maximum power point, but is also able to drive loads which consistently require a maximum power feed such as a grid-coupled inverter. The third section details a low-power implementation of the above system in hardware. This shows the viability of the new, fast embedded maximum power tracking system and also the advantages of the system in terms of speed and response time over conventional systems. The fourth section builds upon the simulation model developed in the second section by adding an inverter allowing AC loads (including a utility) to be driven. The complete system is simulated and a set of results obtained showing that the system is a usable one. The final section describes the construction and analysis of a complete system in hardware (c. 500W) and identifies the suitability of the system to appropriate applications.
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2

Geerdts, Philip Clifford. "Computer simulation of stand-alone photovoltaic systems with battery storage." Master's thesis, University of Cape Town, 1991. http://hdl.handle.net/11427/22177.

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Bibliography: pages 58-59.<br>This report describes a computer program which has been developed to simulate accurately the performance of stand alone photovoltaic systems with battery storage on an hourly basis for one simulated year. The program incorporates models of the POA irradiance, the photovoltaic cell · temperature and the battery temperature to simulate the environmental conditions of the system. These require hourly weather data as input. Typical meteorological years, which constitute a suitable form of input weather data, have been generated for those weather stations in Southern Africa which contain sufficient data. The energy flows within the system are simulated using models of the following parameters: photovoltaic module current, regulator efficiency and voltage, battery current and voltage, inverter efficiency, load shed voltage and load current. These models incorporate versatility in the level of modelling complexity (determined typically by the availability of the data used to characterise the components). The various models are encapsulated in modular units to facilitate alteration and updating at a later stage. The program is designed to simulate photovoltaic systems without maximum power point trackers, necessitating the use of interactive curve solving to compute the system operating point at any time. A robust and comprehensive algorithm has been implemented to execute this function. Improved battery modelling has been effected using data and experience acquired from a parallel research project. The program facilitates, with the judicious selection of input weather data, the economical sizing of systems in that it incorporates loss of power probability analysis and offers a high level of modelling precision. The simulation performance of the program compared favourably with that of PVFORM. The system performance estimated by PVFORM was marginally better, which is expected because PVFORM assumes that the system operates with a maximum power point tracker. In the development of the program there has been a focus on creating an effective user interface. This is designed to simplify and speed up program operation, and to present output in a form which is useful and illustrative.
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3

Akeyo, Oluwaseun M. "ANALYSIS AND SIMULATION OF PHOTOVOLTAIC SYSTEMS INCORPORATING BATTERY ENERGY STORAGE." UKnowledge, 2017. http://uknowledge.uky.edu/ece_etds/107.

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Анотація:
Solar energy is an abundant renewable source, which is expected to play an increasing role in the grid's future infrastructure for distributed generation. The research described in the thesis focuses on the analysis of integrating multi-megawatt photovoltaics (PV) systems with battery energy storage into the existing grid and on the theory supporting the electrical operation of components and systems. The PV system is divided into several sections, each having its own DC-DC converter for maximum power point tracking and a two-level grid connected inverter with different control strategies. The functions of the battery are explored by connecting it to the system in order to prevent possible voltage fluctuations and as a buffer storage in order to eliminate the power mismatch between PV array generation and load demand. Computer models of the system are developed and implemented using the PSCADTM/EMTDCTM software.
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4

Harb, Souhib. "Three-port micro-inverter with power decoupling capability for photovoltaic (pv) systems applications." Master's thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4683.

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Анотація:
The Photovoltaic (PV) systems have been realized using different architectures, starting with the string and centralized PV system to the modular PV system. Presently, decentralized inverters are being developed at the PV panel power level (known as AC ?? PV Modules). Such new PV systems are becoming more attractive and many expect this will be the trend of the future. The AC-Module PV system consists of an inverter attached to one PV panel. This integration requires that both devices have the same life-span. Although, the available commercial inverters have a relatively short life-span (10 years) compared to the 25 ??year PV. It has been stated in literature that the energy storage capacitor (electrolytic type) in the single-phase inverter is the most vulnerable electronic component. Hence, many techniques such as (power decoupling techniques) have been proposed to solve this problem by replacing the large electrolytic capacitor with a small film capacitor. This thesis will present a quick review of these power decoupling techniques, and proposes a new three-port micro-inverter with power decoupling capability for AC-Module PV system applications.<br>ID: 028732249; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (M.S.)--University of Central Florida, 2010.; Includes bibliographical references.<br>M.S.<br>Masters<br>Department of Electrical Engineering and Computer Science<br>Engineering and Computer Science
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5

Pang, Huey, and 彭栩怡. "Computer modeling of building-integrated photovoltaic systems using genetic algorithms for optimization." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31227764.

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Berry, T. "Real time simulation of complex power systems using parallel processors." Thesis, University of Bath, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328841.

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7

Smith, Kenneth S. "CAD simulation of drive converters on isolated marine power systems." Thesis, University of Aberdeen, 1992. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU040411.

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Анотація:
Power electronic converters are being increasingly used on isolated marine power systems, to provide variable speed control of electric motors. As the rating of these drive converters increases, the converter load becomes a significant part of the total system load. Traditional methods for calculating the performance characristics, which assume the presence of an infinite busbar on the system, are not appropriate for such systems. The intercoupling which exists between system components such as synchronous generators, converters, and the drive motor must be included in the calculation. In this thesis, a commercially available software simulator Saber, is used to model a complete electrical cycloconverter propulsion drive, of the type which may be used for future Royal Navy frigates. This model includes the synchronous generators, cycloconverters, and induction motor drives. The simulation is performed in the time domain, which ensures that the intercoupling present between system components is preserved. The simulation is not restricted to one converter configuration, and has been used to investigate the relative merits of a number of possible converter connections. This method can be used to study drive performance under unbalanced conditions as well as for normal balanced operation. There is no perceived limit to the size, or complexity, of the converter systems which can be studied using this method. The only cost would be increased computer run times.
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Ahmed, Sara Mohamed. "Computer Modeling and Simulation of Power Electronics Systems for Stability Analysis." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/31026.

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Анотація:
This works focuses on analyzing ac/dc hybrid power systems with large number of power converters that can be used for a variety of applications. A computer model of a sample power system is developed. The system consists of various detailed/switching models that are connected together to study the sample system dynamic behavior and to set conditions for safe operation. The stability analysis of this type of power systems has been approached using time domain simulations. There are three types of stability analysis that are studied: steady-state, small-signal analysis and large signal analysis. The steady-state stability analysis is done by investigating the nominal operation of the power electronics system proposed. The small-signal stability of this system is studied by running different parametric case studies. First, the safe values of the main system parameters are defined from the view of the stability of the complete system. Then, these different critical parameters of the system are mapped together to predict their influence on the system. The large signal stability is examined through the response of the power system to different types of transient changes. There are different load steps applied to the critical parameters of the system at the maximum or minimum stability boundary limit found by the mapping section. The maximum load step after which the system can recover and remain stable is defined. The other type of large signal stability analysis done is the study of faults. There are different faults to be studied; for example, over voltage, under voltage and over current.<br>Master of Science
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9

Atkinson-Hope, Gary. "An integrated programme for power systems simulation using personal computers (PC's)." Thesis, Cape Technikon, 1993. http://hdl.handle.net/20.500.11838/1147.

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Анотація:
Thesis (Masters Diploma (Technology)--Cape Technikon, Cape Town, 1993<br>The research objectives were to: Formulate a training structure covering conventional power systems topics; Research existing PC based power systems software resources; Develop a structure for a PC based power systems course; Research the capabilities of the software resources chosen; Develop a structure for a modern PC based power systems course taking into account the capabilities and limitations of the selected software programs; Develop for the PC based power systems course, task orientated computer based laboratory set-ups. The set-ups provide: An introduction into the topics concerned; An explanation of the usage of each program applied, where usage means an explanation of the Input and Output Data of each program; User friendly simulation experiments. These set-ups, together with software programs and a personal computer integrate into a training programme and realize a power systems simulation course.
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10

Garrett, Bretton Wayne. "Digital simulation of power system protection under transient conditions." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/27303.

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Анотація:
This work demonstrates the use of digital simulation for analyzing protection system performance. For studies of complex, multi-relay protection systems, digital simulation provides utility engineers with an attractive alternative to relay testing techniques. The cost of digital simulation facilities can be lower than the cost of comparable testing facilities; relay hardware does not have to be made available for the test laboratory. Digital simulation would ordinarily be impractical for security and dependability studies, due to the thousands of individual simulations involved. The number of simulations needed can be greatly reduced by using a technique called "numerical logic replacement" for implementing the protection scheme logic. This unconventional technique makes near-misoperation visible from individual simulations. The likelihood of overlooking potential misoperation is thus much lower than with the usual direct (Boolean) implementations.<br>Applied Science, Faculty of<br>Electrical and Computer Engineering, Department of<br>Graduate
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Книги з теми "Photovoltaic power systems Computer simulation"

1

Santiago, Silvestre, ed. Modelling photovoltaic systems using PSpice. John Wiley, 2002.

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2

Tai yang neng guang fu xi tong jian mo, fang zhen yu you hua. Dian zi gong ye chu ban she, 2014.

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3

Pryor, Trevor L. Development of a simulation package for remote area power supply systems: Results of research carried out as MERIWA Project No. E110 in the Murdoch University Energy Research Institute. Minerals and Energy Research Institute of Western Australia, 1990.

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4

Piazza, Maria Carmela Di. Photovoltaic Sources: Modeling and Emulation. Springer London, 2013.

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5

Cotrell, Jason Rust. Modeling the feasibility of using fuel cells and hydrogen internal combustion engines in remote renewable energy systems: Technical report. National Renewable Energy Laboratory, 2003.

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6

Rekioua, Djamila. Optimization of Photovoltaic Power Systems: Modelization, Simulation and Control. Springer London, 2012.

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7

Computer-aided power system analysis. Marcel Dekker, 2002.

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8

Watton, J. Fluid power systems: Modelling, simulation, analog and microcomputer control. Prentice Hall, 1989.

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9

Fluid power systems: Modeling, simulation, analog and microcomputer control. Prentice-Hall, 1989.

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10

Knowles, J. B. Simulation and control of electrical power stations. Research Studies Press, 1990.

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Частини книг з теми "Photovoltaic power systems Computer simulation"

1

Hwang, Chulsang, Jin-Hong Jeon, Heung-Kwan Choi, Jong-bo Ahn, Minwon Park, and In-Keun Yu. "Controller-Hardware-In-The Loop Simulation Based Analysis of Photovoltaic Power Generation System under Variable Conditions of Utility." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-26010-0_31.

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2

Zaslavskiy, Alexandr, and Oleh Karpenko. "Prognostic Model of a Photovoltaic Power Plant." In Mathematical Modeling and Simulation of Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89902-8_7.

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3

Guo, Haokun. "Analysis and Simulation of Maximum Power Point Tracking for Photovoltaic Power Generation." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25128-4_39.

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4

Liao, Weiping, and Lei He. "Coupled Power and Thermal Simulation with Active Cooling." In Power-Aware Computer Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-28641-7_11.

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5

Shin, Dongkun, Woonseok Kim, Jaekwon Jeon, Jihong Kim, and Sang Lyul Min. "SimDVS: An Integrated Simulation Environment for Performance Evaluation of Dynamic Voltage Scaling Algorithms." In Power-Aware Computer Systems. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36612-1_10.

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6

Wang, Bin, Chunfu Gao, Xinsheng He, and Zhiyong Luo. "Research on an Improved Method for Maximum Power Point Tracking of Photovoltaic." In Advanced Research on Computer Education, Simulation and Modeling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21783-8_49.

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7

Raman, Gururaghav, Gurupraanesh Raman, Chakkarapani Manickam, and Saravana Ilango Ganesan. "Dragonfly Algorithm Based Global Maximum Power Point Tracker for Photovoltaic Systems." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41000-5_21.

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8

Müller, R., R. Böer, and H. Finnemann. "Nuclear Core and Power Plant Simulation on High Performance Parallel Computer Systems." In Nuclear Simulation. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84279-5_8.

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9

Strunz, Kai, and Feng Gao. "Computer Simulation of Scale-Bridging Transients in Power Systems." In Handbook of Electrical Power System Dynamics. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118516072.ch15.

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10

Acosta, Juan, and Ricardo Mejía-Gutiérrez. "Power Simulation Process Through the Analysis of Geometry, Irradiance and Interconnection Impact in Photovoltaic Roof Tiles." In Communications in Computer and Information Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20611-5_29.

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Тези доповідей конференцій з теми "Photovoltaic power systems Computer simulation"

1

Anwari, M., M. I. M. Rashid, H. I. Hui, T. W. Yee, and C. K. Wee. "Photovoltaic power system simulation for small industry area." In 2011 International Conference on Electrical, Control and Computer Engineering (INECCE). IEEE, 2011. http://dx.doi.org/10.1109/inecce.2011.5953888.

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2

Handoko, Susatyo, and Tejo Sukmadi. "Maximum power point tracking simulation for a photovoltaic system." In 2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE). IEEE, 2015. http://dx.doi.org/10.1109/icitacee.2015.7437811.

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3

Ben Ali, Rim, Emna Aridhi, and Abdelkader Mami. "Design, modeling and simulation of hybrid power system (Photovoltaic-WIND)." In 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2016. http://dx.doi.org/10.1109/sta.2016.7952008.

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4

Gursoy, Mehmetcan, Andy G. Lozowski, and Xin Wang. "Power Electronics Sliding Mode Control Design for Photovoltaic Energy Conversion Systems." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10110.

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Анотація:
Abstract The manuscript presents a novel power electronics sliding mode control design for photovoltaic energy conversion systems. In order to maximize the power generation from solar panels, P&amp;O maximum power point tracking algorithm is applied. The purposed first and high-order sliding mode control techniques are developed to overcome the irradiance and load fluctuation challenge, and to optimize the power conversion efficiency. Compared with the first-order method, the higher-order sliding mode approach can significantly reduce the chattering effect in the Buck-Boost converter. The output of the DC-DC converter is then fed into a voltage-oriented control based SVPWM inverter for three-phase AC power generation. Computer simulation studies have shown the effectiveness and robustness of the proposed power electronics control approach for solar energy systems.
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5

Xiuhua. Wu and Fei. Xu. "Control and simulation on three-phase single-stage photovoltaic ( PV) system as connecting with power grids." In 2014 IEEE Workshop on Electronics, Computer and Applications (IWECA). IEEE, 2014. http://dx.doi.org/10.1109/iweca.2014.6845590.

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6

Yi, Zhang, Lian Xiaoqin, Zhang Xiaoli, Duan Zhen Gang, and Chen Jun. "The simulation algorithm for array of photovoltaic cells the maximum power point tracking based on the PSIM." In 2011 International Conference on Computer Science and Service System (CSSS). IEEE, 2011. http://dx.doi.org/10.1109/csss.2011.5973942.

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7

Malek, Hadi, Sara Dadras, and YangQuan Chen. "An Improved Maximum Power Point Tracking Based on Fractional Order Extremum Seeking Control in Grid-Connected Photovoltaic (PV) Systems." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12793.

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This paper presents a fractional order extremum seeking control scheme for grid-connected photovoltaic (PV) systems tasks to better accommodate rapid varying solar irradiance for photovoltaic (PV) arrays. The stability analysis of the proposed control algorithm is presented first. Then the new algorithm is benchmarked against the integer order extremum seeking control. Our extensive simulation and experimental results show that, our proposed maximum power point tracker has faster convergence speed in comparison to integer order and incremental conductance algorithm and also less total harmonic distortion (THD) in the injected current to the grid.
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8

Fanney, A. Hunter, Mark W. Davis, Brian P. Dougherty, David L. King, William E. Boyson, and Jay A. Kratochvil. "Comparison of Photovoltaic Module Performance Measurements." In ASME 2005 International Solar Energy Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/isec2005-76086.

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Анотація:
Computer simulation tools used to predict the energy production of photovoltaic systems are needed in order to make informed economic decisions. These tools require input parameters that characterize module performance under various operational and environmental conditions. Depending upon the complexity of the simulation model, the required input parameters can vary from the limited information found on labels affixed to photovoltaic modules to an extensive set of parameters. The required input parameters are normally obtained indoors using a solar simulator or flash tester, or measured outdoors under natural sunlight. This paper compares measured performance parameters for three photovoltaic modules tested outdoors at the National Institute of Standards and Technology (NIST) and Sandia National Laboratories (SNL). Two of the three modules were custom fabricated using monocrystalline and silicon film cells. The third, a commercially available module, utilized triple-junction amorphous silicon cells. The resulting data allow a comparison to be made between performance parameters measured at two laboratories with differing geographical locations and apparatus. This paper describes the apparatus used to collect the experimental data, test procedures utilized, and resulting performance parameters for each of the three modules. Using a computer simulation model, the impact that differences in measured parameters have on predicted energy production is quantified. Data presented for each module include power output at standard rating conditions and the influence of incident angle, air mass, and module temperature on each module’s electrical performance. Measurements from the two laboratories are in excellent agreement. The power at standard rating conditions is within 1% for all three modules. Although the magnitude of the individual temperature coefficients varied as much as 17% between the two laboratories, the impact on predicted performance at various temperature levels was minimal, less than 2%. The influence of air mass on the performance of the three modules measured at the laboratories was in excellent agreement. The largest difference in measured results between the two laboratories was noted in the response of the modules to incident angles that exceed 75°.
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9

Allous, Abdulbaki A., Hassan A. El-Gamal, and El-Arabi M. Attia. "Modeling and Simulation of a Hybrid Gas Turbine Power Plant-Solar Photovoltaic Plant System used in Messla Oil Field." In 2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). IEEE, 2022. http://dx.doi.org/10.1109/mi-sta54861.2022.9837616.

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10

Fanney, A. Hunter, Brian P. Dougherty, and Mark W. Davis. "A Comparison of Predicted to Measured Photovoltaic Module Performance." In ASME 2007 Energy Sustainability Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/es2007-36028.

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Анотація:
Computer simulation models to accurately predict the electrical performance of photovoltaic modules are essential. Without such models, potential purchasers of photovoltaic systems have insufficient information to judge the relative merits and cost effectiveness of photovoltaic systems. The purpose of this paper is to compare the predictions of a simulation model, developed by Sandia National Laboratories, to measurements from photovoltaic modules installed in a vertical wall fac¸ade in Gaithersburg, MD. The photovoltaic modules were fabricated using monocrystalline, polycrystalline, tandem-junction amorphous, and copper-indium diselenide cells. Polycrystalline modules were constructed using three different glazing materials — 6 mm low-iron glass, 2 mm ethylene-tetrafluoroethylene copolymer (ETFE), and 2 mm polyvinylidene fluoride (PVDF). In order to only assess the simulation model’s ability to predict photovoltaic module performance, measured solar radiation data in the plane of the modules is initially used. Additional comparisons are made using horizontal radiation measurements. The ability of the model to accurately predict the temperature of the photovoltaic cells is investigated by comparing predicted energy production using measured versus predicted photovoltaic cell temperatures. The model was able to predict the measured annual energy production of the photovoltaic modules, with the exception of the tandem-junction amorphous modules, to within 6% using vertical irradiance measurements. The model overpredicted the annual energy production by approximately 14% for the tandem-junction amorphous panels. Using measured horizontal irradiance as input to the simulation model, the agreement between measured and predicted annual energy predictions varied between 1% and 8%, again with the exception of the tandem-junction amorphous silicon modules. The large difference between measured and predicted results for the tandem-junction modules is attributed to performance degradation. Power measurements of the tandem-junction amorphous modules at standard reporting conditions prior to and after exposure revealed a 12% decline. Supplying post-exposure module parameters to the model resulting in energy predictions within 5% of measured values.
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Звіти організацій з теми "Photovoltaic power systems Computer simulation"

1

Stein, Joshua S., Abraham Ellis, and Clifford W. Hansen. Simulation of one-minute power output from utility-scale photovoltaic generation systems. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1029801.

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2

Farhi, Edward, and Hartmut Neven. Classification with Quantum Neural Networks on Near Term Processors. Web of Open Science, 2020. http://dx.doi.org/10.37686/qrl.v1i2.80.

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Анотація:
We introduce a quantum neural network, QNN, that can represent labeled data, classical or quantum, and be trained by supervised learning. The quantum circuit consists of a sequence of parameter dependent unitary transformations which acts on an input quantum state. For binary classification a single Pauli operator is measured on a designated readout qubit. The measured output is the quantum neural network’s predictor of the binary label of the input state. We show through classical simulation that parameters can be found that allow the QNN to learn to correctly distinguish the two data sets. We then discuss presenting the data as quantum superpositions of computational basis states corresponding to different label values. Here we show through simulation that learning is possible. We consider using our QNN to learn the label of a general quantum state. By example we show that this can be done. Our work is exploratory and relies on the classical simulation of small quantum systems. The QNN proposed here was designed with near-term quantum processors in mind. Therefore it will be possible to run this QNN on a near term gate model quantum computer where its power can be explored beyond what can be explored with simulation.
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