scholarly journals Techno–economic–environmental feasibility study of a photovoltaic system in northern part of Iran including a two-stage multi-string inverter with DC–DC ZETA converter and a modified P&O algorithm

Clean Energy ◽  
2022 ◽  
Vol 6 (1) ◽  
pp. 891-904
Author(s):  
Sina Semeskandeh ◽  
Mehrdad Hojjat ◽  
Mohamad Hosseini Abardeh
Keyword(s):  
Power Plant ◽  
Feasibility Study ◽  
Feasibility Studies ◽  
Economic Feasibility ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Two Stage ◽  
Pv Systems ◽  
Perturb And Observe ◽  
Environmental Feasibility

Abstract Inverters play a significant role in the configuration of grid-connected photovoltaic (PV) systems. The perturb-and-observe (P&O) algorithm is a common method to derive the maximum power from grid-connected inverters; however, the possibility of losing maximum power due to sudden changes in radiation is a significant drawback of this control strategy. To overcome this barrier, the two-stage multi-string inverter using the ZETA DC–DC converter and a novel P&O algorithm has been proposed to increase the efficiency of these systems. The proposed inverter has been simulated in MATLAB/SIMULINK software. To investigate the performance of the proposed inverter, technical, environmental and economic feasibility studies have been performed for the construction of a 5-kW PV power plant in a northern city of Iran (Sari) using the RETScreen software developed by Natural Resources Canada. On the other hand, most feasibility studies for power-plant construction are based on the concept of inverter peak efficiency, which leads to non-optimal system design due to the short operation duration of the inverter at this value. However, the weighted European efficiency has been used in the feasibility study for more accurate computations. Moreover, the performance of the proposed inverter is compared to that of a two-stage multi-string inverter using a conventional P&O algorithm and the single-stage (central) inverter. The simulation results indicated that the proposed inverter injects 7.6 MW of power into the grid per year. Moreover, it prevents the emission of 88 tons of CO2 (over 20 years), which is equivalent to saving 1883.5 litres of gasoline per year.

scholarly journals PHOTOVOLTAIC MODELING METHODS BASED ON MATLAB SIMULINK IMPLEMENTATION

SINERGI ◽  
2018 ◽  
Vol 22 (1) ◽  
pp. 1
Author(s):  
Azriyenni Azhari Zakri ◽  
Nurhalim Nurhalim ◽  
Dohardo P.H. Simanulang ◽  
Ihwallibi Tribowo
Keyword(s):  
Renewable Energy ◽  
Power Plant ◽  
Energy Development ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Matlab Simulink ◽  
Pv Systems ◽  
Modeling Methods ◽  
Renewable Energy Development

This paper presents photovoltaic system as a stand-alone electric power plant in the renewable energy development.  To maximize these stand-alone generators, it is necessary to design photovoltaic modeling to produce energy and maximum power.  The problems that exist in the design of PV systems are PV configuration, battery size, and the maximum power system. Therefore, this research will be proposed modeling Matlab/Simulink based PV system. The contribution of this research can provide various characteristics of the photovoltaic system with a capacity of 100 Wp.  This modeling is designed using Matlab/Simulink software.  The data generated from this simulation will provide a good reference for designing the stand-alone generators in the future.

scholarly journals Meta Analisis Pengembangan Assesment Kelayakan Sistim Pembangkit Tenaga Air

2018 ◽  
Vol 18 (2) ◽  
pp. 123-132
Author(s):  
Suryadimal Suryadimal
Keyword(s):  
Power Plant ◽  
Feasibility Study ◽  
Meta Analysis ◽  
Feasibility Studies ◽  
Developed Countries ◽  
Journal Articles ◽  
Technical Aspects ◽  
Feasibility Assessment ◽  
Cultural Aspects ◽  
Rating Model

Abstract-This study aims to determine the feasibility assessment of hydroelectricity to feasibility studies that have been conducted in various developing and developed countries. In a feasibility study usually consider various important aspects such as technical and non technical aspects that will affect the productivity of a feasibility study.Methododologi research based on the meta-analysis method, in which the analysis is based on a review of a number of research results on similar issues in the case of a feasibility assessment of the power plant system. Approaches are based on journal articles and research reports that are taken based on their compatibility with the theme of research. The technical aspects used are hydraulic and civil aspects, mechanical and electrical aspects, while non technical aspects are economic, social and cultural aspects. So with the development of this feasibility rating model can be a reference for developers, government and investors to decide the feasibility of a power plant investment   Keywords: Assessment Feasibility, Hydropower, Power Plant, Feasibility Study, Meta analysis

POTENCIAL DE ENERGIA SOLAR PARA A IRRIGAÇÃO NO MUNICÍPIO DE BARBALHA-CE

2017 ◽  
Vol 32 (1) ◽  
pp. 57
Author(s):  
Francisca Valdelice Pereira Silva ◽  
Hernandes Oliveira Feitosa ◽  
Claudio Faustino Pereira ◽  
João Alvino Sampaio Silva ◽  
Erialdo Oliveira Feitosa
Keyword(s):  
Solar Energy ◽  
Renewable Energy Sources ◽  
Economic Feasibility ◽  
Photovoltaic System ◽  
Net Income ◽  
Energy Potential ◽  
Financial Return ◽  
Pv Systems ◽  
Historical Series ◽  
Alternative Means

Atualmente há uma preocupação na utilização de energia solar como meios alternativos, tendo em vista a viabilidade para implantação dos sistemas fotovoltaicos. Sendo de extrema importância nos tempos atuais devido à necessidade de utilização de novas fontes de energia renováveis. O objetivo desse trabalho é analisar a viabilidade econômica do uso da energia solar na agricultura familiar irrigada no município de Barbalha. O trabalho foi desenvolvido a partir de dados coletados na Estação Climatológica, localizada em Barbalha, numa série histórica de 30 anos, esses dados foram inserido num programa computacional Retscreen para analisar a viabilidade de projetos, foi feita uma simulaçao do sistema fotovoltaico para geração de energia acionando um conjunto motobomba de 1,0 cv para transportar água a uma caixa com capacidade de 1000 l á 6 m de altura, em seguida será realizada a irrigação por gotejamento de forma gravitacional numa área de 1 há cultivado com milho. Os resultados foram que o sistema só terá um retorno financeiro em 18,5 anos, passando essa energia solar para os agricultores verificamos que somando todos os custos do agricultor será de R$ 7710,00 com uma receita bruta de R$ 11963,52 durante dez meses período em que se podem cultivar dois ciclos de milho irrigado, obtendo uma receita liquida de R$ 4253,52. Assim, o agricultor poderá pagar o investimento da energia fotovoltaica em menos tempo. O sistema mostra-se vantajoso nestes aspectos e abre uma interessante perspectiva de aproveitamento mais eficiente da energia solar na irrigação.Palavras-chave: energia solar; sistemas fotovoltaicos; viabilidade econômica. SOLAR ENERGY POTENTIAL FOR IRRIGATION IN THE MUNICIPALITY OF BARBALHA-CEAbstract: Currently there is concern in the use of solar energy as alternative means in order to implement the viability of PV systems. It is of paramount importance in the present times due to the necessity of use of new renewable energy sources. The aim of this study is to analyze the economic feasibility of using solar energy in irrigated family farming in the municipality of Barbalha. The work was developed from data collected in the Climatological Station, located in Barbalha, a historical series of 30 years, this data is inserted into a computer program Retscreen Software to analyze the feasibility of projects, it was made a Simulation of the photovoltaic system for generating energy driving a pump of 1.0 hp to carry water to a box with 1000 l capacity with 6 m high, then will be held drip irrigation of gravity form an area of 1 is cultivated with milho.Os results were the system will only have a financial return approximately 18.5 years, passing this energy for farmers we found that adding all the farmer's cost will be R $ 7,710.00 with gross revenues of R $ 11,963.52 for ten month period in that can grow two cycles of irrigated corn, obtaining a net income of R $ 4,253.52. Thus, the farmer can afford the investment of photovoltaics in less time. The system seems advantageous in these aspects and opens an interesting perspective more efficient use of solar energy for irrigation. Keywords: solar energy; photovoltaics; economic viabilit.

Research on MPPT of PV Systems Based on BP Neural Network

2012 ◽  
Vol 466-467 ◽  
pp. 930-934
Author(s):  
Wen Ying Chen ◽  
Yong Jun Lin ◽  
Wei Liang Liu ◽  
Shuang Sai Liu
Keyword(s):  
Control Structure ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Maximum Power Point ◽  
Hardware Platform ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Power Point

In order to obtain more output power of photovoltaic (PV) array, which depends on solar irradiation and ambient temperature, maximum power point tracking (MPPT) techniques are employed. Among all the MPPT strategies, the Perturb and Observe (P&O) algorithm is more attractive due to the simple control structure. Nevertheless, steady-state oscillations always appear due to the perturbation. In this paper, a new MPPT method based on BP Neural Networks and P&O is proposed for searching maximum power point (MPP) fast and exactly, and its effectiveness is validated by experimental results using hardware platform based on microcomputer.

scholarly journals A new high performance variable step size perturb-and-observe MPPT algorithm for photovoltaic system

2019 ◽  
Vol 10 (3) ◽  
pp. 1662
Author(s):  
Khadidja Saidi ◽  
Mountassar Maamoun ◽  
M’hamed Bounekhla
Keyword(s):  
High Performance ◽  
Decisive Role ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Variable Step Size ◽  
Step Size ◽  
Rapid Variation ◽  
Point Tracking ◽  
Perturb And Observe ◽  
Power Point

The optimization of energy in a photovoltaic conversion chain remains a topic of study. The maximum power point tracking (MPPT) is considered the most appropriate solution to ensure the extraction of the maximum power which a photovoltaic generator can provide. Perturb and observe (P&O) algorithm is the well-known MPPT tracker; it shows an important and decisive role in the development of photovoltaic (PV) systems. In This article we introduce a new improved adjustable step size P&O (imVS_PO) MPPT method.The performances of the new algorithm are compared to the conventional P&O MPPT techniques and to the existing adjustable step size P&O (VS_PO) MPPT algorithm. The results clearly show the efficiency of the improved algorithm which contributed to the increase of the tracking speed with negligible fluctuations when the MPP is reached, and especially in rapid variation of insolation.

scholarly journals A comparative study on conventional and modern maximum power point tracking algorithms applied to photovoltaic systems

2019 ◽  
Vol 9 (2) ◽  
pp. 29-35
Author(s):  
Rachid Belaidi ◽  
Boualem Bendib ◽  
Djamila Ghribi ◽  
Belkacem Bouzidi ◽  
Mohamed Mghezzi Larafi
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study ◽  
Fuzzy Controller ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Software Environment ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Power Point

The main goal of maximum power point (MPP) tracking control is to extract the maximum photovoltaic (PV) power by finding the optimal operating point under varying atmospheric conditions to improve the efficiency of PV systems. In recent years, the field of tracking the MPP of PV systems has attracted the interest of many researchers from the industry and academia. This research paper presents a comparative study between the modern fuzzy logic based controller and the conventional perturb & observe (P&O) technique. The comparative study was carried out under different weather conditions in order to analyse and evaluate the performance of the PV system. The overall system simulation has been performed using Matlab/Simulink software environment. The simulation results show that the dynamic behaviour exhibited by the modern fuzzy controller outperforms that of the conventional controller (P&O) in terms of response time and damping characteristics.   Keywords: MPPT, photovoltaic system, fuzzy logic control, P&O algorithm.

scholarly journals Economic and environmental feasibility study of water hyacinth briquette in Cirata Reservoir

2018 ◽  
Vol 74 ◽  
pp. 01001
Author(s):  
Tauny Akbari
Keyword(s):  
Feasibility Study ◽  
Rice Husk ◽  
Water Hyacinth ◽  
Eichhornia Crassipes ◽  
Economic Value ◽  
Payback Period ◽  
Economic Feasibility ◽  
Coconut Shell ◽  
Environmental Feasibility ◽  
Control Water

The aim of this study was to determine the economic and environmental feasibility of water hyacinth (Eichhornia crassipes) briquette. The economic feasibility was determined by the BCR, NPV, Payback Period, and BEP value. While the environmental feasibility was determined by the potential of water hyacinth briquette to control water hyacinth in Cirata Reservoir. Briquette A1P3 (the charcoal combinations of rice husk: water hyacinth 1:1 and the percentage of tapioca binder 5%.) was used in this research. The need of water hyacinth briquettes by a satay (tiny grilled chicken) seller and a grilled fish seller is greater than the need of charcoal and coconut shell charcoal. It shows that water hyacinth briquettes have a lower economic value than charcoal and coconut shell charcoal. A project of water hyacinth briquette processing is economically feasible with the assumption that all products sold because of the BCR value (1.1) > 1, and the NPV value (58,390,711) > 0, with Payback Period in 4.6 years and BEP 95,621.5 kg in 5 years. The use of water hyacinth briquettes by a satay and grilled fish trader at 20,949 kg briquettes/year has the potential to control water hyacinth in Cirata Reservoir of 0.02% per year.

Design and Simulation of an Off-Grid Photovoltaic System with Duty Cycle Prediction Using Neural Network Controller

2021 ◽  
Vol 57 ◽  
pp. 181-210
Author(s):  
Adamu Murtala Zungeru ◽  
Dauda Duncan ◽  
Bakary Diarra ◽  
Joseph Chuma ◽  
Modisa Mosalaosi ◽  
...  
Keyword(s):  
Neural Network ◽  
Historical Data ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Neural Network Controller ◽  
Duty Cycles ◽  
Network Controller ◽  
Perturb And Observe ◽  
Power Point

Global concerns over the inappropriate utilization of abundant renewable energy sources, the damages due to instability of fuel prices, and fossil fuels' effect on the environment have led to an increased interest in green energy (natural power generation) from renewable sources. In renewable energy, photovoltaic is relatively the dominant technique and exhibits non-linearities, leading to inefficiencies. Maximum Power Point is required to be tracked rapidly and improve the power output levels. The target is to use a Neural network controller by training historical data of ambient irradiance and temperature levels as inputs and voltage levels as output for the photovoltaic module to predict duty cycles across the DC-DC converter. The DC-DC converter is the electrical power conditioner at the Botswana International University of Science and Technology, Palapye Off-Grid photovoltaic system. Perturb and Observe algorithm on PSIM environment is only implemented to acquire the historical data for the training and Matlab for the modeling of the network. Relatively long period ambient irradiance and temperature data of Palapye were acquired from the Southern African Science Service Centre for Climate Change and Adaptive Land Management (SASSCAL) WeatherNet in Botswana. Matlab environment was used for the simulation of the backpropagation algorithm for training. The Neural network's feedforward to optimize the non-linear nature of the PV module input and output relationship with relatively fewer processes is required. The results show promising, and the Mean Errors appear to be typically about 0.1 V, and the best performance is 193.5812 at Epoch 13, while the regression delivered a relatively low measured error. The maximum power delivered by the duty cycles from the model with 90 % prediction accuracy. The article demonstrates Neural Network controller is more efficient than the conventional Perturb and Observe Maximum Power Point algorithm.

Sign in / Sign up

Export Citation Format

Share Document