Design and implementation of a dual-input single-output photovoltaic converter

In many solar inverters, a dc/dc converter is mainly located between the solar arrays and the inverter. This study presents an enhanced maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems that drives solar array voltages to track a reference value and decreases fluctuations and oscillations in PV voltage. Different from the previously presented methods, a novel MPPT method is proposed that ensures tracking accuracy by considering output voltage in addition to input voltage and currents. The proposed method detects dI/dV variations, compares the output voltage with the desired reference to shift operation mode and refreshes step size. The digital filtering, enhanced PI, and perturb-and-observe (P&O) tracking features of the proposed MPPT method make it robust to mitigate source fluctuations and sensitivity to partial shading based oscillations. In order to validate the success of the proposed method, a test rig has been installed with dual boost converters. The performance improvements have been verified by both simulation and experimental results that are compared to InCon and P&O MPPT methods. It is also confirmed by experimental results that the proposed MPPT method provides robust control capability in terms of tracking the reference voltage and rejecting the effects of various shading situations on solar arrays

Remote Monitoring System Design for Photovoltaic Panels

10th International Symposium on Advanced Topics in Electrical Engineering (ATEE) -- MAR 23-25, 2017 -- Bucharest, ROMANIAThe design and implementation studies of a remote monitoring system are presented in this study. The proposed design is improved in terms of smart metering infrastructure based on current, voltage, and power measurements. The communication among the photovoltaic (PV) panels and host PC is performed by designed ZigBee transceiver system. Sensing circuits are very important devices to measure for both current and voltage magnitudes of electrical systems. The measured data are processed by the microcontroller unit (MCU) and are modulated after signal processing operations for wireless transmission. Although the transceiver is configured to execute bi-directional communication, unidirectional data flow is performed where the smart metering system transmits data to monitoring substructure. The monitoring software is also implemented in the context of the presented study. The Visual Studio. Net software development kit is used to design and to code the software. The performed experimental studies showed that the proposed real time monitoring and smart metering system could be exploited to monitor current, voltage and power magnitudes of the PV panels in an efficient way.Univ Politechnica Bucharest, Fac Elect Engn,IEEEOmer Halisdemir University Scientific Research Projects Coordination Unit [FEB 2016/11-BAGEP]This research has been supported by Omer Halisdemir University Scientific Research Projects Coordination Unit. Project Number: FEB 2016/11-BAGEP, 2016

Modeling and analysis of a smart grid monitoring system for renewable energy sources

The observing and metering processes are necessary in renewable energy conversion systems as applied in smart grid applications of conventional grid. In this study, the requirements of the renewable energy sources examined with a solar microgrid model that is developed via Matlab/Simulink. The dc-ac conversion system utilized in this paper contains three solar power plants with maximum power point tracking (MPPT) system and a multilevel inverter to create three-phase ac line voltages. The transmission line is modeled at the output of the inverter with a length of 25 km by using real line parameters. The infrastructure of power line communication (PLC) is managed by binary phase shift keying (BPSK) modems that are located in different places. The usage of the proposed energy monitoring technique eliminates additional monitoring costs due to the fact that the power lines are not only exploited to carry the generated voltage, but also utilized to convey the drawn power rate of loads at the back-end of the microgrid. (C) 2017 Elsevier Ltd. All rights reserved

Feasibility Analysis of Integrating Single-Phase Electrical Vehicle Charging Stations to Distribution Grid

5th IEEE Global Power, Energy and Communication Conference (GPECOM) -- JUN 14-16, 2023 -- Nevsehir, TURKEYAs distribution grids transition from the traditional model to the smart grid model, grid control becomes a significant part of deployment planning. The integration of Electric Vehicles (EVs) into the traditional distribution grid requires detailed planning and analysis studies to be performed. This study investigates the effects of balanced and unbalanced EV charging station (EVCS) loads in a distribution region in Turkiye for low and high growth rate demand scenarios in 2030. The charger model adopted for the study distribution region is a 7 kW single-phase device. The study uses the distribution region's current power consumption data to run simulations on Digsilent Powerfactory and to forecast power demand for 2030. The results for both traditional grid and expected smart grid scenarios are presented and discussed.IEEE,Nevsehir Haci Bektas Veli Univ,IEEE Ind Applicat Soc,IEEE Ind Elect Soc,IEEE Power Elect Soc,IEEE Power & Energy Soc,Univ Nova Lisboa,Univ PalermoMEDAS; Digsilent Powerfactory Co.The authors would like to thank MEDAS and Digsilent Powerfactory Co. for their support

Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve smart grids by integrating several energy forms into an extremely flexible and effective grid. In this paper, we have comprehensively analyzed Internet of Things (IoT) applications enabled for smart grids and smart environments, such as smart cities, smart homes, smart metering, and energy management infrastructures to investigate the development of the EI based IoT applications. These applications are promising key areas of the EI concept, since the IoT is considered one of the most important driving factors of the EI. Moreover, we discussed the challenges, open issues, and future research opportunities for the EI concept based on IoT applications and addressed some important research areas

Dual DC-DC converter design for string inverters used in solar plants

4th International Conference on Renewable Energy Research and Applications, ICRERA 2015 -- 22 November 2015 through 25 November 2015 -- Palermo -- 119791This study deals with the design of a dual buck converter where both of them are simultaneously operated to regulate photovoltaic (PV) string inputs. The proposed control and converter structure is intended to improve the dc-bus interface for solar arrays and to control the dc bus voltage of a commercial grid-tie inverter that is generated by four PV arrays. The control algorithm is improved by including PI control to the regular perturb-and-observe algorithm. Regarding to the international standards on single-phase commercial string inverters such as AS4777-2013, IEC62109, and IEC61727, the maximum power of each solar array is allowed to be 1.2 kWp while the maximum total input power is limited to 4.8 kWp. Individual MPPT controllers that are improved in this study control each one of the dc converters handling dual solar arrays at the input connection. The dc interface voltages regulated by converters are coupled on a unique dc bus to generate the supply voltage of inverter section. The controllers perform a robust operation against the freely fluctuating irradiation values of each solar arrays. © 2015 IEEE

Design and Analysis of a Micro Inverter for PV Plants

9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) -- JUN 29-JUL 01, 2017 -- Targoviste, ROMANIARenewable energy sources are obviously accepted as clean energy sources of future. The solar energy is the most popular among other renewable energy sources in all over the world. Many studies are performed on photovoltaics (PVs) and solar energy systems. Inverter is the most important power converter section of photovoltaic systems in terms of efficiency in changing weather conditions. This study presents the design and analysis of a micro inverter for PV systems. The proposed micro inverter is designed by using MATLAB Simulink software, and the control algorithms are implemented according to Incremental Conductance method. It consists of isolated boost converter with Maximum Power Point Tracking (MPPT) and H-bridge inverter with PI controller. The reaction of system has been observed under changing irradiation conditions. The implemented micro inverter has compensated the irradiation changes at boost converter stage, and dc-ac conversion process is performed regarding to the designed PI controller. The dc bus voltage is increased to around 300V, and the HF transformer is used to increase inverter input voltage to 420V. The output of inverter is generated with the support of PI controller to track 220Vrms line voltage. The THD rates for both voltage and current are measured at 0.51% in FFT spectrum, and the overall power of the micro inverter is supplied around 315W.IEEE Romania Sect,IEEE Ind Applicat Soc,Univ Pitest

Model Predictive Torque Control-Based Induction Motor Drive with Remote Control and Monitoring Interface for Electric Vehicles

While the increased use of internal combustion engine vehicles raises carbon emissions, electric vehicles (EVs) are becoming more important for reducing air pollution. EV production costs are decreasing as technology advances since they are typically powered by alternating current induction machines (ACIM). In EV configurations that are propelled with ACIM, an inverter is required to obtain appropriate voltage levels to drive the IM. Multilevel inverters are widely preferred in the industry for DC-AC voltage conversion due to their high-power quality. In this study, the ACIM is supplied with the appropriate voltage using an active neutral point clamped (ANPC) inverter. The ANPC inverter acting as ACIM driver is controlled with model predictive torque control. The simulation of the proposed ACIM drive has been performed with torque and speed control features to determine the operational features of the experimental test bench. Furthermore, the designed ACIM drive includes remote control and monitoring functions via an Internet of Things-based module. This allows for instant monitoring of the input, output, and current values of the ANPC inverter. The graphical monitoring function is used to track the speed and torque values of ACIM while the speed can be changed remotely via the web interface

Hibrit parçacik sürü optimizasyonu kullanarak harmonik kestirici tasarimi

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYThe demand for electrical energy is increasing day by day and achieving high quality energy is becoming very important subject. Especially, harmonics occurred in power systems not only reduce the quality of the energy but also cause dangerous situations such as heating and burning. For this reason, the estimation of the amplitude and phase of harmonics plays an important role in the design of electrical systems that will reduce the negative effects of harmonics. In this study, a novel harmonic estimator design for the harmonic estimation problem, which is frequently proposed in the literature, is proposed using hybrid particle swarm optimization (HPSO). The obtained results are compared with those of the proposed studies in literature and the success of the designed HPSO based harmonic estimator is analyzed.IEEE Turkey Sect,Anatolian Sc

Sensorless speed controller of an induction motor with MRAS-based model predictive control

Speed sensors play critical role in induction motor (IM) control systems. However, the use of these sensors cause several drawbacks such as increasing the overall cost, decreased reliability on control and increased noise problems in data acquisition. The sensorless control methods also have been proposed in control systems of IM to increase the overall performance. On the other hand, model predictive controllers (MPCs) which is one of the most recently used controller methods require the speed measurement to perform speed and torque control of an IM. In addition to control method, the topology of voltage source inverter (VSI) affects the overall efficiency of the IM drive because of its losses and total harmonic distortion (THD) ratios delivered by the topology. The main proposal of this study is to implement an IM drive built with a threelevel active neutral point clamped (3L-ANPC) voltage source inverter (VSI) and to propose an MPC that eliminates sensor requirement in speed control of IM. The proposed IM drive takes benefits of multilevel inverter topology, which reduces the torque ripple, enables low switching frequency and provides decreased harmonic distortion. The switching pulses of ANPC VSI are generated by the proposed sensorless MPC method for controlling the torque of IM. The modelling and experimental verification of the ANPC based IM drive have been carried out and the sensorless MPC controller has been validated in this study. There two types of model reference adaptive system (MRAS) have been proposed to ensure precise estimation of IM speed that should be supplied to MPC controller. These MRAS methods are titled as the rotor flux based model reference adaptive system (MRASF), and the stator current based model reference adaptive system (MRASCC) according to estimation references. The proposed MPC-based IM drive has been analyzed under variable speed and torque circumstances to detect the efficiency and reliability of MRASF and MRASCC algorithms. The efficiency indicators such as flux and torque responses, and speed control of the suggested MPC IM drive are validated with experimental analysis. The results of revealed that the IM effectively tracks the reference speed and produces the required torque depending to the precise control of proposed MPC algorithm