scholarly journals Interleaved Flyback Converter with Embedded Grid Interacting PV Cascaded MLI

2018 ◽  
Vol 7 (3) ◽  
pp. 277
Author(s):  
Jaikrishna V ◽  
Subhranhsu Sekhar Dash ◽  
Linss T Alex ◽  
R. Sridhar
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Harmonic Distortion ◽  
Energy Sources ◽  
Modern World ◽  
Pv System ◽  
Flyback Converter ◽  
Point Tracking ◽  
Suggested Technique ◽  
Power Point

The importance of extracting power from renewable energy sources are increasing in the modern world as the power demand is increasing day by day and the non renewable energy sources are getting dried up. Solar power is a domestic source of energy and its availability throughout the year makes it a primary target to solve this crisis. It will never produce any hazardous waste or pollution. But various issues like Power quality problems and Harmonic distortion seep in due to the intermittent nature of PV system. This paper proposes a cascaded H–bridge multilevel inverter for grid connected PV system with a flyback converter. This helps to achieve maximum power point tracking and also provides isolation which will further help to increase system efficiency. The DC–DC flyback converters are cascaded to generate multilevel output voltage. Then this multilevel dc output is given to H bridge inverter to generate multilevel output. A new control algorithm is used in this paper which combines voltage–hold Perturb and observe method and modified PWM algorithm which helps to achieve the best MPPT. The proposed topology is implemented in PSIM. The Simulation and Hardware results reveal that the suggested technique is highly.

scholarly journals Quasi Z-Source Inverter for Pv Power Generation Systems

2019 ◽  
Vol 9 (2) ◽  
pp. 1191-1199
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Modern World ◽  
Power Demand ◽  
Point Tracking ◽  
Power Point ◽  
Pv Power Generation

For the enormously increased power demand in the modern world, the existing fossil fuel sources seem to be inadequate to meet the demands. Hence, it is necessary to switch over to use Renewable Energy Sources (RES). Besides the demand concerns, the power generation from fossil fuels causes environmental pollution prominently. As a result, the utilization of RES has been encouraged. When RES is interconnected with the grid, this system becomes an excellent solution to fulfill the power demand of the present scenario. The energy generated from renewable energy sources varies according to seasonal variations. The power generated from RES can be delivered to the load by interconnecting it with the grid. When a small size RES system is connected with the distribution network, it can deliver energy to the isolated zones where the energy cannot be drawn from the conventional network. In this work, the Artificial Neural Network based Maximum Power Point Tracking scheme has been introduced with Photovoltaic (PV) power generation. Also, a bi-directional charger is introduced to overcome the battery issues. The model is evaluated in the MATLAB/SIMULINK package. The performance of the system is analyzed by applying different voltage levels to qZSI. The voltage gain, effectiveness of the scheme, MPPT and the regulation of the voltages are observed

scholarly journals Enhancement of Transient State in MPPT Techniques for PV Grid Connected System

2019 ◽  
Vol 8 (4) ◽  
pp. 2745-2750
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Dynamic Performance ◽  
Transient State ◽  
Electric Power System ◽  
Photovoltaic System ◽  
Energy Sources ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Instead of using non-renewable energy sources, industry researchers have wide applications in renewable energy sources such as hydro, wind and solar which are highly preferable because of having huge advantages like easily erectable and abundance in environment. For obtaining the high quality in electric power system, the system requires special conditions while connected to the grid. This paper shows the interfacing of Photovoltaic system connected to 3-phase grid. To ensure the highest output power of Photovoltaic system, a DC to DC converter with Maximum power point tracking (MPPT) is required. In this work, comparative analysis has been carried out for the MPPT techniques with topology β- method which is connected in parallel to perturb and observe method. The above proposed method enhances the dynamic performance of the system and effective under the steady state as well as transient state. The proposed system is implemented and simulated in MATLAB/Simulink. Analysis of simulation results are carried out for validation of system.

scholarly journals High Gain DC-DC Converter with Enhanced Adaptive MPPT for PV Applications

2019 ◽  
Vol 38 (3) ◽  
pp. 541-556
Author(s):  
Suvetha Poyyamani Sunddararaj ◽  
Seyezhai Ramalingam
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
High Gain ◽  
Energy Sources ◽  
Maximum Output ◽  
Power Electronic ◽  
Photovoltaic Panel ◽  
Point Tracking ◽  
High Conversion Ratio ◽  
Power Point

The increasing demand for electricity has pushed more effort to focus on renewable energy sources to satisfy the consumer. The renewable energy sources are playing a major role in the generation of electricity. Out of all the renewable energy sources, solar has emerged as one of the best sources of energy since it is clean, inexhaustible and eco-friendly. However, the voltage generated by the solar cell is not sufficient for any consumer load and it is also variable. Therefore, it is necessary to implement DCDC converters for regulating and improving the output voltage of the solar panel. In order to extract the maximum output from the PV (Photovoltaic) panel, a comparative analysis of various MPPT (Maximum Power Point Tracking) algorithms is proposed in this paper. The proposed enhanced adaptive P&O (Perturb and Observe) algorithm is modeled and implemented with a high gain DC-DC converter. The converter investigated in this paper consists of a single power electronic switch (MOSFET) for its operation, which leads to reduction of switching and conduction losses. The proposed converter has less ripple content and a high conversion ratio. A simulation study of the proposed power electronic converter powered by PV source is carried out in MATLAB/SIMULINK and the results are validated using an experimental setup.

scholarly journals Forecasting and Modelling the Uncertainty of Low Voltage Network Demand and the Effect of Renewable Energy Sources

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2151
Author(s):  
Feras Alasali ◽  
Husam Foudeh ◽  
Esraa Mousa Ali ◽  
Khaled Nusair ◽  
William Holderbaum
Keyword(s):  
Renewable Energy ◽  
Low Voltage ◽  
Renewable Energy Sources ◽  
Golden Ratio ◽  
Clean Energy ◽  
Energy Sources ◽  
Percentage Error ◽  
Ann Model ◽  
Demand Forecast ◽  
Pv System

More and more households are using renewable energy sources, and this will continue as the world moves towards a clean energy future and new patterns in demands for electricity. This creates significant novel challenges for Distribution Network Operators (DNOs) such as volatile net demand behavior and predicting Low Voltage (LV) demand. There is a lack of understanding of modern LV networks’ demand and renewable energy sources behavior. This article starts with an investigation into the unique characteristics of householder demand behavior in Jordan, connected to Photovoltaics (PV) systems. Previous studies have focused mostly on forecasting LV level demand without considering renewable energy sources, disaggregation demand and the weather conditions at the LV level. In this study, we provide detailed LV demand analysis and a variety of forecasting methods in terms of a probabilistic, new optimization learning algorithm called the Golden Ratio Optimization Method (GROM) for an Artificial Neural Network (ANN) model for rolling and point forecasting. Short-term forecasting models have been designed and developed to generate future scenarios for different disaggregation demand levels from households, small cities, net demands and PV system output. The results show that the volatile behavior of LV networks connected to the PV system creates substantial forecasting challenges. The mean absolute percentage error (MAPE) for the ANN-GROM model improved by 41.2% for household demand forecast compared to the traditional ANN model.

scholarly journals Optimisation of Energy Accumulation for Renewable Energy Sources

2021 ◽  
Vol 19 ◽  
pp. 205-210
Author(s):  
Milan Belik ◽  
Keyword(s):  
Renewable Energy ◽  
Model Building ◽  
Residential Buildings ◽  
Renewable Energy Sources ◽  
Photovoltaic System ◽  
Energy Sources ◽  
Pv System ◽  
Energy Accumulation ◽  
Wind Power Station ◽  
Future Production

This project focuses on optimisation of energy accumulation for various types of distributed renewable energy sources. The main goal is to prepare charging – discharging strategy depending on actual power consumption and prediction of consumption and production of utilised renewable energy sources for future period. The simulation is based on real long term data measured on photovoltaic system, wind power station and meteo station between 2004 – 2021. The data from meteo station serve as the input for the simulation and prediction of the future production while the data from PV system and wind turbine are used either as actual production or as a verification of the predicted values. Various parameters are used for trimming of the optimisation process. Influence of the charging strategy, discharging strategy, values and shape of the demand from the grid and prices is described on typical examples of the simulations. The main goal is to prepare and verify the system in real conditions with real load chart and real consumption defined by the model building with integrated renewable energy sources. The system can be later used in general installations on commercial or residential buildings.

scholarly journals Energy Efficiency – Indoor Air Quality Dilemma in Educational Buildings: A Possible Solution

2020 ◽  
Vol 24 (1) ◽  
pp. 357-367
Author(s):  
Liva Asere ◽  
Andra Blumberga
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Pv System ◽  
Educational Buildings ◽  
Electricity Tariff

AbstractThe energy efficiency – indoor air quality dilemma is well known and the main drawback to operate the mechanical ventilation is electricity costs as concluded from previous studies. Educational buildings are one of the places where future taxpayers spend a lot of time. This paper aims to study an alternative solution on how to reduce energy efficiency – indoor air quality dilemma in educational buildings by adopting systems that use renewable energy sources. A typical education building in Latvia is taken as a case study by changing it from a consumer to prosumer. This building type has a specific electricity usage profile that makes the choice of photovoltaics (PV) power quite challenging so the various power options have been analysed and used for an electricity solution. Also, the more decentralised preference is chosen – disconnect from a public heating provider and using a local system with a pellet boiler. Educational buildings using PV can reduce the electricity tariff, but the payback periods are still not very satisfactory without subsidies. The average electricity tariff per month varies between scenarios and the best one is for the scenario with 30 kW installed power. The educational building partly using 16 kW PV system reduces not only its bill for electricity but also reduces CO2 emissions by around 36 tons. The education buildings as energy prosumers using renewable energy sources are reducing GHG emissions by having high indoor air quality.

Modern Optimization Algorithms and Applications in Solar Photovoltaic Engineering

2016 ◽  
pp. 390-445 ◽  
Author(s):  
Igor Tyukhov ◽  
Hegazy Rezk ◽  
Pandian Vasant
Keyword(s):  
Renewable Energy ◽  
Smart Grids ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Energy Transition ◽  
Point Tracking ◽  
Composition Structure ◽  
Primary Energy Supply ◽  
Power Point

This chapter is devoted to main tendencies of optimization in photovoltaic (PV) engineering showing the main trends in modern energy transition - the changes in the composition (structure) of primary energy supply, the gradual shift from a traditional (mainly based on fossil fuels) energy to a new stage based on renewable energy systems from history to current stage and to future. The concrete examples (case studies) of optimization PV systems in different concepts of using from power electronics (particularly maximum power point tracking optimization) to implementing geographic information system (GIS) are considered. The chapter shows the gradual shifting optimization from specific quite narrow areas to the new stages of optimization of the very complex energy systems (actually smart grids) based on photovoltaics and also other renewable energy sources and GIS.

scholarly journals Investigation of PV Connected Multilevel Cascaded H-Bridge Inverter Using Disposition Techniques

2018 ◽  
Vol 7 (3.31) ◽  
pp. 30
Author(s):  
Muzeeb Khan Patan ◽  
P Udaya Bhanu ◽  
M D. Azahar Ahmed
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Pv System ◽  
Matlab Simulink ◽  
Multilevel Inverters ◽  
Power Handling ◽  
Technological Improvements ◽  
The Given

Inverters have many Technological improvements in their maximum power handling capabilities by using renewable energy sources. Multilevel inverters give effective and efficient interface for renewable energy sources and perform Transformer-less operation and increase the power quantity and quality of voltage of the PV system. In this paper, the benefits of H-bridge inverters including the total harmonic distortions are discussed. This paper has primarily focused on Sinusoidal PWM and worked on the carrier based phase disposition techniques. The performances of modulation schemes are compared. Simulations were done using MATLAB Simulink for the given PWM techniques.  

scholarly journals Is It Possible to Make Money on Investing in Companies Manufacturing Solar Components? A Panel Data Approach

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3406
Author(s):  
Sebastian Klaudiusz Tomczak ◽  
Anna Skowrońska-Szmer ◽  
Jan Jakub Szczygielski
Keyword(s):  
Renewable Energy ◽  
Panel Data ◽  
Nearest Neighbor ◽  
Manufacturing Sector ◽  
Renewable Energy Sources ◽  
Classification Trees ◽  
Energy Sources ◽  
K Nearest Neighbor ◽  
Pv System ◽  
Altman Model

In the interests of the environment, many countries set limits on the use of non-renewable energy sources and promote renewable energy sources through policy and legislation. Consequently, the demand for components for renewable energy systems exhibits an upward trend. For this reason, managers, investors, and banks are interested in knowing whether investing in a business associated with the semiconductor and related device manufacturing sector, especially the photovoltaic (PV) systems manufacturers, is worthy of a penny. Using a sample for the period of 2015-2018, we apply a new approach to panel data, extending existing research using Classification Trees with the k-Nearest Neighbor and Altman model. Our aim is to analyze the financial conditions of enterprises to identify key indicators that distinguish companies producing PV system components (labeled “green, G”) from companies that do not manufacture PV components (“red, R”). Our results show that green companies can be distinguished from red companies at classification accuracies of 86% and 90% for CRT and CHAID algorithms in Classification Trees method and 93% for k-Nearest Neighbor method, respectively. Based on the Altman model and the analysis of crucial ratios, we also find that green businesses are characterized by lower financial performance although future ratio values may equal or exceed the values for the red companies if current upward trends are sustained. Therefore, investing in green companies presents a viable alternative.

scholarly journals A Modified Multi-Winding DC–DC Flyback Converter for Photovoltaic Applications

2021 ◽  
Vol 11 (24) ◽  
pp. 11999
Author(s):  
Cristián Pesce ◽  
Javier Riedemann ◽  
Rubén Peña ◽  
Michele Degano ◽  
Javier Pereda ◽  
...  
Keyword(s):  
Renewable Energy Sources ◽  
Magnetic Core ◽  
Mathematical Basis ◽  
Flyback Converter ◽  
Point Tracking ◽  
Single Output ◽  
Solar Energy Harvesting ◽  
Wide Range ◽  
In Series ◽  
Power Point

DC–DC power converters have generated much interest, as they can be used in a wide range of applications. In micro-inverter applications, flyback topologies are a relevant research topic due to their efficiency and simplicity. On the other hand, solar photovoltaic (PV) systems are one of the fastest growing and most promising renewable energy sources in the world. A power electronic converter (either DC/DC or DC/AC) is needed to interface the PV array with the load/grid. In this paper, a modified interleaved-type step-up DC–DC flyback converter is presented for a PV application. The topology is based on a multi-winding flyback converter with N parallel connected inputs and a single output. Each input is supplied by an independent PV module, and a maximum power point tracking algorithm is implemented in each module to maximize solar energy harvesting. A single flyback transformer is used, and it manages only 1/N of the converter rated power, reducing the size of the magnetic core compared to other similar topologies. The design of the magnetic core is also presented in this work. Moreover, the proposed converter includes active snubber networks to increase the efficiency, consisting of a capacitor connected in series with a power switch, to protect the main switches from damaging dv/dt when returning part of the commutation energy back to the source. In this work, the operating principle of the topology is fully described on a mathematical basis, and an efficiency analysis is also included. The converter is simulated and experimentally validated with a 1 kW prototype considering three PV panels. The experimental results are in agreement with the simulations, verifying the feasibility of the proposal.

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