Interleaved Boost Converter Fed with PV for Induction Motor/Agricultural Applications

2016 ◽  
Vol 7 (3) ◽  
pp. 835
Author(s):  
Adireddy Ramesh ◽  
M. Siva Kumar ◽  
O. Chandra Sekhar
Keyword(s):  
Renewable Energy ◽  
Induction Motor ◽  
Renewable Energy Sources ◽  
Boost Converter ◽  
Energy Sources ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Pv System ◽  
Pwm Inverter ◽  
Interleaved Boost Converter

In present Electricity market Renewable Energy Sources (RES) are gaining much importance. The most common Renewable Energy Sources are Photo voltaic (PV), fuel cell (FC) and wind energy systems, out of these three PV systems PV system can implemented in most of the locations. Due to the power cuts and power disturbances in Distribution systems agriculture application is concentrated on PV based Energy system. The use of PV system is increasing day by day in agriculture application, due to their ease of control and flexibility. PV Electrification schemes also involves various subsidies in government national and international donors. Especially in Agriculture field by use of PV one can achieve higher subsidy. The output of PV system is low voltage DC to have high efficiency. The motors used in agriculture field are Induction Motors (IM) fed from Three phase AC supply, to boost the PV output we need a high voltage gain boost converter along with PWM inverter to Induction motor drive. Out of various DC-DC converter configurations interleaved boost converter is gaining much attention, due to its reduction in size and Electromagnetic Interference (EMI). In this work we are proposing a PV fed interleaved boost converter with PWM inverter for agriculture applications. The design process of interleaved boost converter is explain detail and compared with existing boost converter. A 10KW Power rating is choosing for the Induction motor drive and design calculations are carried out. A MATLAB/SIMULINK based model is developed for boost and interleaved boost converter and simulation results are presented, finally a scaled down hardware circuit design for interleaved boost converter and results are presented.

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.

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.  

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