Grid-connected photovoltaic system: Optimization of the inverter size using an energy approach

2009 ◽  
Author(s):  
G. Notton ◽  
V. Lazarov ◽  
L. Stoyanov ◽  
N. Heraud
Keyword(s):  
System Optimization ◽  
Energy Approach ◽  
Photovoltaic System

Technoeconomic and Carbon Emission Analysis for a Grid-Connected Photovoltaic System in Malacca

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Wei Yee Teoh ◽  
Say Yen Khu ◽  
Chee Wei Tan ◽  
Ing Hui Hii ◽  
Kai Wee Cheu
Keyword(s):  
Renewable Energy ◽  
System Optimization ◽  
Simulation Software ◽  
Economic Feasibility ◽  
Photovoltaic System ◽  
Pv System ◽  
Emission Analysis ◽  
Unit Energy ◽  
Small Industry ◽  
Industry Area

A 1 MW grid-connected PV system is studied and analyzed in this project using the National Renewable Energy Laboratory’s HOMER simulation software. The economic feasibility of the system in a small industry area of Malacca, Rembia in Malaysia, is investigated. The aim of the proposed PV system is to reduce the grid energy consumption and promote the use of renewable energy. In this paper, the emphasis is placed on the reduction of greenhouse gases emission. HOMER is capable of performing simulation on renewable energy systems as well as system optimization, in which, the optimization is based on the available usage data and the renewable energy data, such as solar irradiance and temperature. In addition, HOMER can perform sensitivity analysis according to different assumptions of uncertainty factors to determine its impact on the studied system and also the per unit energy cost. Finally, the most suitable or the best configuration system can be identified based on the requirements and constraints.

scholarly journals Effective Fuzzy Logical Control for Photoelectric System Optimization

2021 ◽  
Vol 27 (1) ◽  
pp. 062-072
Author(s):  
Belarussi Ussama ◽  
◽  
V. F. Kalinin ◽  
Amel Terki ◽  
◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
System Optimization ◽  
Maximum Power ◽  
Photovoltaic System ◽  
System Operation ◽  
Photoelectric System ◽  
Logical Control ◽  
Fuzzy Logical

The article shows the importance of tracking the point of maximum power and ways to achieve it. Methods of “perturbation and observation” and a fuzzy logic regulator (FLR) are analyzed. The modeling of the photovoltaic system operation in various conditions is carried out and the principle of its operation is considered.

scholarly journals An Electromagnetism-like Mechanism Algorithm Approach for Photovoltaic System Optimization

2018 ◽  
Vol 12 (1) ◽  
pp. 333
Author(s):  
Jian Ding Tan ◽  
Siaw Paw Koh ◽  
Sieh Kiong Tiong ◽  
Kharudin Ali ◽  
Ying Ying Koay
Keyword(s):  
Energy Harvesting ◽  
Solar Energy ◽  
Tilt Angle ◽  
System Optimization ◽  
Photovoltaic System ◽  
Step Size ◽  
Solar Energy Harvesting ◽  
Energy Harvesting System ◽  
Photovoltaic Solar Energy ◽  
Experimental Findings

<span lang="EN-GB">Solar energy has become one of the most studied topic in the field of renewable energy. In this paper, an artificial intelligent approach is proposed for the optimization of a photovoltaic solar energy harvesting system. An Electromagnetism-Like Mechanism Algorithm (EM) has been developed to search for the hourly optimum tilt angles for photovoltaic panels. In order to investigate the effect of the search step size on the efficiency and overall accuracy of the algorithm, the EM has also been modified into several variants with different search step size settings. Experimental findings show that EM with bigger search lengths has the advantage of reaching a near optimum tilt angle in earlier iterations but less accurate. EM with smaller step lengths, on the other hand, can hit a relatively more optimum tilt angle in the process. During the peak of the power generation at noon, EM with smaller search stes found an optimum tilt angle which yielded additional 3.17W of power compared to a fixed panel. We thus conclude that the proposed EM performs well in optimizing the tilt angle of a photovoltaic solar energy harvesting system.</span>

scholarly journals Solar Irradiance Forecast Based on Cloud Movement Prediction

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3775
Author(s):  
Aleksander Radovan ◽  
Viktor Šunde ◽  
Danijel Kučak ◽  
Željko Ban
Keyword(s):  
Energy Storage ◽  
Solar Energy ◽  
Solar Irradiance ◽  
Energy Production ◽  
Storage System ◽  
Prediction Method ◽  
System Optimization ◽  
Photovoltaic System ◽  
Solar Irradiation ◽  
Cloud Detection

Solar energy production based on a photovoltaic system is closely related to solar irradiance. Therefore, the planning of production is based on the prediction of solar irradiance. The optimal use of different energy storage systems requires an accurate prediction of solar irradiation with at least an hourly time horizon. In this work, a solar irradiance prediction method is developed based on the prediction of solar shading by clouds. The method is based on determining the current cloud position and estimating the velocity from a sequence of multiple images taken with a 180-degree wide-angle camera with a resolution of 5 s. The cloud positions for the next hour interval are calculated from the estimated current cloud position and velocity. Based on the cloud position, the percentage of solar overshadowing by clouds is determined, i.e., the solar overshadowing curve for the next hour interval is calculated. The solar irradiance is determined by normalizing the percentage of the solar unshadowing curve to the mean value of the irradiance predicted by the hydrometeorological institute for that hourly interval. Image processing for cloud detection and localization is performed using a computer vision library and the Java programming language. The algorithm developed in this work leads to improved accuracy and resolution of irradiance prediction for the next hour interval. The predicted irradiance curve can be used as a predicted reference for solar energy production in energy storage system optimization.

Photovoltaic system optimization by new maximum power point tracking (MPPT) models based on analog components under harsh condition

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Minh Long Hoang
Keyword(s):  
Renewable Energy Sources ◽  
Maximum Power Point Tracking ◽  
System Optimization ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Abstract Photovoltaic (PV) energy has become a promising energy source because the demand for electrical energy from renewable energy sources is increasing worldwide in recent decades. Due to efficiency issues, the Maximum Power Point Tracking (MPPT) has been developed to optimize the solar panel’s performance. This paper presents an MPPT model, made up of the analog component, which overcomes traditional MPPT methods’ weakness via the Perturb and observes (P&O) technique. In this case, the PV system includes a PV array, a DC/DC boost converter, a battery, and a load. The proposed method was precisely built and simulated using the Powersim, MATLAB Simulink, and SimCoupler Module. The components of the analog MPPT system were designed practically in detail. The experiment was carried out by using European Efficiency Test 50530, and the results showed the proposed model has higher efficiency over the digital MPPT technique, about 99.99% as maximum. Moreover, MPPT methods were tested under steady-state, irradiation variation, and space conditions to verify the system’s potential capability with PV module Solbian 52L.

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