Maximum Power Point Trackers
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APEC focuses on the practical and applied aspects of the power electronics business. Not just a power designer’s conference, APEC has something of interest for anyone involved in power electronics including:- Equipment OEMs that use power supplies and converters in their equipment- Designers of power supplies, dc-dc converters, motor drives, uninterruptable power supplies, inverters and any other power electronic circuits, equipments and systems- Manufacturers and suppliers of components and assemblies used in power electronics- Manufacturing, quality and test engineers involved with power electronics equipment- Marketing, sales and anyone involved in the business of power electronic- Compliance engineers testing and qualifying power electronics equipment or equipment that uses power electronics
Artificial Intelligence, Control and Systems, Cyber-physical Systems, Energy and Environment, Industrial Informatics and Computational Intelligence, Robotics, Network and Communication Technologies, Power Electronics, Signal and Information Processing
PEDG 2019 will feature plenary speeches, tutorials, and regular technical sessions on theory, analysis, design and development, testing, deployment and impact of power electronics for distributed generation, energy storage, and sustainable sources.
2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)
Electrical Engineering, Academic and Industrial
Algorithms and theoryBiomedical engineeringBiometricsBig dataComputer networksControl theory and applicationsDistributed and cloud computingElectric vehiclesElectrical and electronic circuitsElectrical machines and drivesElectronic materials and devicesEmbedded and intelligent systemsEmerging technologiesEngineering educationGenetics and bioinformaticsHigh voltage engineering
No periodicals are currently tagged "Maximum Power Point Trackers"
2018 Twentieth International Middle East Power Systems Conference (MEPCON), 2018
The efficiency of the power generated from a Wind Energy Conversion System (WECS) can be maximized for a particular wind speed if the generator is driven at the optimal speed. For optimal operating point, a Maximum Power Point Tracking (MPPT) controller should be used. However, the variation of wind speed leads to difficulty in MPPT's control. In this paper, adaptive ...
2018 International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT), 2018
The application of renewable energy with power system is shooting up day by day. In that residential solar photovoltaic system has an important role. Two types of residential solar photovoltaic systems are standalone system and grid connected system. In order to intensify output power of a solar photovoltaic arrangement, it is imperative to find the maximum possible energy harvest from ...
2016 IEEE 17th Workshop on Control and Modeling for Power Electronics (COMPEL), 2016
This paper demonstrates a comparative study of two well-known Maximum Power Point Tracking (MPPT) algorithms in photovoltaic (PV) plants based on Modular Multilevel Converter (MMC). The Perturb and Observe (P&O) technique which is widely deployed throughout industry is considered for the comparison evaluation together with the Ripple Correlation Control (RCC) strategy. The efficiency of entire PV generation system heavily depends ...
2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2018
This paper presents power to grid with different use of controllers for renewable sources to operate photovoltaic (PV) system. This paper gives more power to grid with different use of controllers in MPPT. The suggested controllers are been used to show and get faster response when compared with two different controllers. It showed high precision during current and irradiation variation ...
2015 Power Generation System and Renewable Energy Technologies (PGSRET), 2015
This paper represents the comparison and performance analysis of two MPPT algorithms which are practiced on DC-DC converter, Push-Pull converter to get maximum power from solar panel at challenging weather conditions. The main advantage of this project is to determine that which algorithm gives best results in quickly achieving and maintaining Maximum Power Point of solar Module (100W) out of ...
APEC 2011- Methode Electronics at APEC 2011
IMS 2014:Active 600GHz Frequency Multiplier-by-Six S-MMICs for Submillimeter-Wave Generation
A 28GHz CMOS Direct Conversion Transceiver with Packaged Antenna Arrays for 5G Cellular Systems: RFIC Industry Showcase 2017
Optimal Design of NPC and Active-NPC Transformerless PV Inverters
A 16.2Gbps 60GHz SiGe Transmitter for Outdoor Wireless Links: RFIC Interactive Forum
Intermodulation Distortion Mitigation in Microwave Amplifiers and Frequency Converters
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Do Fuzzy Sets Matter? An Interdisciplinary Point of View
A 12-b, 1-GS/s 6.1mW Current-Steering DAC in 14nm FinFET with 80dB SFDR for 2G/3G/4G Cellular Application: RFIC Industry Showcase 2017
Developing Point-of-Care Technologies
Promise of Point of Care Technologies - Keynote Geoffrey Ling - IEEE EMBS at NIH, 2019
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IEEE Authoring Part 4: Paper Structure
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Mapping Human to Robot Motion with Functional Anthropomorphism for Teleoperation and Telemanipulation with Robot Arm Hand Systems
Advances on Many-objective Evolutionary Optimization - IEEE WCCI 2012
William F. Tinney
The Full Spectrum: Wireless Power Roundup
APEC Speaker Highlights: Robert White, Chief Engineer, Embedded Power
The efficiency of the power generated from a Wind Energy Conversion System (WECS) can be maximized for a particular wind speed if the generator is driven at the optimal speed. For optimal operating point, a Maximum Power Point Tracking (MPPT) controller should be used. However, the variation of wind speed leads to difficulty in MPPT's control. In this paper, adaptive control techniques for determining the optimal operating point are presented and MPPT control, based on Adaptive Perturbation and Observation (APO) techniques, is proposed. The performances of the WECSs using the proposed adaptive control techniques are verified using numerical simulations. Furthermore, a comparison between these performances with those obtained using a Conventional Perturbation and Observation (CPO) controller is made, which results in that the proposed APO control techniques achieve better performance for MPPT control.
The application of renewable energy with power system is shooting up day by day. In that residential solar photovoltaic system has an important role. Two types of residential solar photovoltaic systems are standalone system and grid connected system. In order to intensify output power of a solar photovoltaic arrangement, it is imperative to find the maximum possible energy harvest from photovoltaic panel. Also another issue that concerns solar photovoltaic system is inverter control. In this paper residential solar photovoltaic system using Artificial Neural Network (ANN) based controller for both Maximum Power Point Tracking (MPPT) and inverter control for load voltage regulation is implemented. A bidirectional DC-DC converter is used to control battery charging and discharging such that dc bus voltage fluctuations get reduced. Simulations are done by using MATLAB/SIMULINK to analyze results.
This paper demonstrates a comparative study of two well-known Maximum Power Point Tracking (MPPT) algorithms in photovoltaic (PV) plants based on Modular Multilevel Converter (MMC). The Perturb and Observe (P&O) technique which is widely deployed throughout industry is considered for the comparison evaluation together with the Ripple Correlation Control (RCC) strategy. The efficiency of entire PV generation system heavily depends on the power conversion unit in addition to the employed MPPT performance, in particular during fast varying environmental conditions. This paper presents an outcome of a detailed evaluation of the simulated PV system utilizing both MPPT methods for the MMC with respect to dynamic performance, solar panels mismatch, solar irradiance variation and practical implementation. The proposed PV generation system with a 5-level MMC inverter is evaluated through simulation to verify the main findings.
This paper presents power to grid with different use of controllers for renewable sources to operate photovoltaic (PV) system. This paper gives more power to grid with different use of controllers in MPPT. The suggested controllers are been used to show and get faster response when compared with two different controllers. It showed high precision during current and irradiation variation and retains the voltage without any changes in the system. The proposed controller based system makes sure that the favorable use of PV system and demonstrates its intended results in different irradiation functions at the output part. The main purpose of this paper is to supply power to grid with different units of controller where the power varies with different controller. The result of this work is mainly the power generation from one controller to other controller. The FLC has improved its efficiency in this work which has more power generation compare to PI based controller. A study is done with two controllers to know the diffence with each other. In this paper the Simulink model is been built in MATLAB 2013a Version is used to get the result.
This paper represents the comparison and performance analysis of two MPPT algorithms which are practiced on DC-DC converter, Push-Pull converter to get maximum power from solar panel at challenging weather conditions. The main advantage of this project is to determine that which algorithm gives best results in quickly achieving and maintaining Maximum Power Point of solar Module (100W) out of Incremental Conductance (IC) and Perturb & Observation (P&O). By using ATXMEGA128A1 microcontroller this project gives faster response and shows consistency.
This paper presents the Maximum Power Point Tracking (MPPT) controller for solving partial shading problems in photovoltaic (PV) systems using Equilibration algorithm. The energy produced by the PV modules depends on the irradiation and temperature. Thus the changing environment creates a necessity to identify the point for every instant on the V-I characteristics of the PV generator in which there is the maximum amount of power transfer from the source to the load. Proper tracking algorithm is required to achieve the maximum power from the PV module. But the performance of a photovoltaic (PV) array is affected by various conditions such as temperature, solar insolation, shading and array configuration. Often the PV array gets shadowed, either completely or partially by passing clouds, neighboring buildings and trees. This situation being the major reason in the case of large PV installations such as distributed power generation scheme and residential PV systems. Under partially shaded conditions, there occurs multiple peaks in the PV curve. Conventional MPPT techniques will not reach the global maximum power point instead it will tend to stay at the local maximum power point which drastically reduces the efficiency of the PV system. This paper provides a elucidation to this problem by executing the equilibration algorithm to identify the global maximum power point (GMPP).
In this work the AC Load is fed from solar radiation energy by means of Three- level Diode-Clamped Inverter. The entire system is implemented with three phase supply system. For making the system more efficient, Maximum Power Point Tracking (MPPT) device is used. The Perturb & Observe technique is adopted to obtain voltage at maximum power. In this paper, Space Vector Pulse Width Modulation (SVPWM) technique is used to generate gate pulses to make inverter switches ON and OFF periodically. IGBTs are used as a switching device. With the help of latest new vectors, the new gate pulses are generated and the system is interfaced with Grid. Without a filter, the %THD of line voltage is 32.24% and with the incorporation of filter in the system the %THD of line voltage drastically reduces to 4.91%. The modelling of the entire system is performed through MATLAB/Simulink in this work The paper also presents the comparison of the results of line voltages for the proposed system with Sinusoidal Pulse Width Modulation (SPWM) and SVPWM techniques.
In this paper, an improved the maximum power point tracking (MPPT) in a Photovoltaic (PV) System is designed by using a Fuzzy Logic Controller (FLC). The objectives of designing the FLC for MPPT in the PV systems are to accelerate the MPPT rate, and to set a smaller oscillating zone around the maximum power point (MPP). The proposed FLC based MPPT adopts a set of variable step sizes with regard to flexible criteria. Also, for the proposed MPPT implementation, a simple Discontinuous Conduction Mode (DCM) algorithm is considered. Experimental results of the proposed FLC based MPPT show that an improvement is observed in terms of tracking of the MPPT, and maximizing of the output power of the PV modules compared to the conventional Perturb and Observe (P&O;) algorithm.
This paper presents a new Maximum Power Point Tracking (MPPT) method of a Photovoltaic (PV) array based on the Binary-Search Technique and the Ripple Correlation Control (RCC) using the DC voltage and power ripples caused by a converter. The Binary-Search technique makes the operating point to converge to the MPP in a short time with simple calculation process. The proposal to combine the Binary-Search and RCC techniques enables the convergence to the MPP more accurately and quickly. The theoretical analysis and design principle of the proposed method are described in detail. Demonstrated by simulations on MATLAB/Simulink and experimental studies are presented. In addition, by comparing total output energy for the conventional Perturb and Observation (P&O;) method under the same conditions, the effectiveness of the proposed method are shown.
Solar energy utilization is gaining much importance these days owing to energy crisis and large power rating panels are used even for residential applications. The panels used in these medium power applications are usually fixed at a particular tilting angle. To extract power up to maximum by all possible ways, Dual Maximization Technique is proposed. Maximum Power Point Tracking and Mechanical Solar Tracking is used for Dual Maximization. Proposed system utilize active solar tracking to keep panel aligned to position of sun. The low power motors such as stepper motors and dc motors, which are usually used for tracking applications are not capable of handling torque requirement for tilting these heavy panels. This paper analyzes the use of induction motor for the tracking purpose. Induction motor used in this proposed system consumes only few watts of power which can be provided by the panel itself. For the proper control of induction motor at low speed, which is required for this application, a Variable Frequency Control is used. As no external input is required, except during initial implementation, it acts like a self supporting system. P&O; algorithm is implemented as a part of dual maximization method. Simulation of the system is done in MATLAB-SIMULINK.
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