scholarly journals Optimal Sizing and Economical Analysis of PV-Wind Hybrid Power System for Water Irrigation using Genetic Algorithm

2017 ◽  
Vol 7 (4) ◽  
pp. 1797 ◽  
Author(s):  
Ninet Mohamed Ahmed ◽  
Hanaa Mohamed Farghally ◽  
Faten Hosney Fahmy
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Software Tool ◽  
Simulation Software ◽  
Wind System ◽  
Pv System ◽  
Economical Analysis ◽  
Renewable Power ◽  
Pumping System ◽  
South Sinai

In the present study three renewable power systems are proposed to select the most optimum one for powering an irrigation pumping system and a farmer’s house in two different locations in Sinai, Egypt. Abu-Rudies in south Sinai and El-Arish in north Sinai are the two selected locations. The three suggested power systems are; standalone photovoltaic (PV) system, standalone wind system and standalone PV-wind hybrid system. HOGA (Hybrid Optimization by Genetic Algorithms) simulation software tool based on genetic algorithm (GA) is used for sizing, optimization and economical evaluation of three suggested renewable power systems. Optimization of the powersystem is based on the components sizing and the operational strategy.  The calculated maximum amount of water required for irrigating ten acres of olive per day is 170 m<sup>3</sup>. In terms of cost effectiveness, the optimal configurations are the hybrid PV-wind system and the standalone PV system for Abu-Rudies and El-Arish locations respectively. These systems are the most suitable than the others for the selected sites metrological data and the suggested electrical load

scholarly journals State-Space Model of Quasi-Z-Source Inverter-PV Systems for Transient Dynamics Studies and Network Stability Assessment

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4150
Author(s):  
Lluís Monjo ◽  
Luis Sainz ◽  
Juan José Mesas ◽  
Joaquín Pedra
Keyword(s):  
Power Systems ◽  
State Space ◽  
State Space Model ◽  
Pv System ◽  
Pv Systems ◽  
Renewable Power ◽  
Ac Networks ◽  
Transient Interactions ◽  
The Stability ◽  
Averaged Model

Photovoltaic (PV) power systems are increasingly being used as renewable power generation sources. Quasi-Z-source inverters (qZSI) are a recent, high-potential technology that can be used to integrate PV power systems into AC networks. Simultaneously, concerns regarding the stability of PV power systems are increasing. Converters reduce the damping of grid-connected converter systems, leading to instability. Several studies have analyzed the stability and dynamics of qZSI, although the characterization of qZSI-PV system dynamics in order to study transient interactions and stability has not yet been properly completed. This paper contributes a small-signal, state-space-averaged model of qZSI-PV systems in order to study these issues. The model is also applied to investigate the stability of PV power systems by analyzing the influence of system parameters. Moreover, solutions to mitigate the instabilities are proposed and the stability is verified using PSCAD time domain simulations.

Optimization of Interval-Based Back Surface Water Cooling For Photovoltaic/Thermal Systems

2020 ◽  
Vol 143 (2) ◽  
Author(s):  
Himanshu Sainthiya ◽  
Navneet Garg ◽  
Narendra S. Beniwal
Keyword(s):  
Genetic Algorithm ◽  
Surface Water ◽  
Power Consumption ◽  
Back Surface ◽  
Water Cooling ◽  
Interval Duration ◽  
Pv System ◽  
Thermal Systems ◽  
Pumping System ◽  
Simulation Results

Abstract The efficiency of photovoltaic (PV) cells degrades, when the temperature increases more than a certain limit. To maintain the temperature within the limit, we consider and analyze a back surface-based water cooled PV system. This analysis shows that the cell temperatures are proportional to the negative exponent of the water flowrates and higher flowrates increase the power consumption. Keeping this in mind, we present interval-based cooling in order to reduce the total consumed power. Moreover, the active pump duration and water flowrates are optimized to maximize the electrical efficiency of the PV system. Due to non-convex nature of the objective function, the Genetic algorithm is employed to get the solutions. Simulation results show that the optimized water flowrate for a given interval duration minimizes the consumed power in pumping system, while maintaining the temperatures within the limit.

scholarly journals Experimental and Economical Analysis of an Autonomous Renewable Power Supply System for Water Desalination and Electric Generation

2019 ◽  
Vol 13 (9) ◽  
pp. 43
Author(s):  
A. M. Soliman ◽  
Mohamed A. Sharaf Eldean ◽  
Imed Miraouia
Keyword(s):  
Rural Areas ◽  
Water Desalination ◽  
Solar Photovoltaic ◽  
Pv System ◽  
Power Sources ◽  
Economical Analysis ◽  
Renewable Power ◽  
Recovery System ◽  
Different Types ◽  
Electric Generation

Solar-Wind systems are growing as a vital option to power different types of membrane desalination processes. It is becoming very important to use renewable power sources because of zero emissions to the environment. In this work, solar photovoltaic (PV) system is used to power on the reverse osmosis (RO) desalination process. Meanwhile, Vertical Wind Turbine (VWT) system has been used as a recovery system during sun absence periods. Moreover, the possibilities to operate a hybrid system of PV-VWT combined with RO system has also investigated. The system is designed to desalinate a low rate of fresh water at a scale capacity of 0.1-1m3/day. The system is contained as a mobile unit which can be used to serve rural areas during safari and tourism travels in deserts with some features such as, compactness, stability, and ease of maintenance. The unit product cost (UPC, $/m3) is found in the range of 1.51$/m3.

scholarly journals Probabilistic Method for Estimating the Level of Reliability of Solar Photovoltaic Systems for Households in Ghana

2021 ◽  
pp. 38-53
Author(s):  
Ali Abubakar ◽  
Anas Musah ◽  
Frank Kofi Owusu ◽  
Isaac Afari Addo
Keyword(s):  
Power Systems ◽  
Design Methodology ◽  
Probabilistic Method ◽  
Solar Photovoltaic ◽  
Renewable Energy Resources ◽  
Pv System ◽  
Renewable Power ◽  
Backup System ◽  
Load Demand ◽  
Solar Batteries

Renewable Energy Resources have been identified among the most promising sources of harnessing power for industrial and household consumption but their power generations highly uctuate so building renewable power systems without critical reliability analysis might result in frequent blackouts in the power system. Therefore, in this paper, a robust, effective and ecient design approach is proposed to handle the reliability issues. The study involves a Mathematical modelling strategy of the PV system to estimate the total PV power produced and the Bottom-Up approach for predicting the household load demand. The reliability is defined in terms of Loss of Load Probability. The design methodology was validated with a University Household. The data used for the analysis consists of daily average global solar irradiance and load profiles. The results revealed that throughout the year, November-February is where the system seems to be more reliable. Also, the results indicated that without buck-up systems, the system would experience an average annual power loss of 17.8753% and thus, it is recommended that either solar batteries or the grid are used as backup system to achieve a complete level of reliability.

Preliminary Validation of Urban Building Integrated PV System Simulation Software

Solar Energy ◽  
2006 ◽  
Author(s):  
Kalyan Rapolu ◽  
Kaylan Sites ◽  
Mandeep Guragain ◽  
Pritpal Singh
Keyword(s):  
Simulated Data ◽  
Software Tool ◽  
Simulation Software ◽  
Test Facility ◽  
Pv System ◽  
Solar Module ◽  
Preliminary Validation ◽  
Current Voltage ◽  
Glass Panels ◽  
Module Performance

The objective of the present project is to develop a software simulation tool to accurately estimate the power generated from solar energy absorbed by photovoltaic panels mounted on the fac¸ade of a building in an urban environment, taking into account shading and reflection from neighboring buildings. The software tool has been designed and modeled in AutoCAD, with the help of AccuRender/Ecotect. We have previously presented the modeling approach [1]. We have recently established a test facility in which a 50W BP Solar module surrounded by several glass panels in wood frames has been used to simulate a BIPV system with neighboring buildings. Current-voltage characteristics at different times of day for different months are in the process of being recorded together with solar insolation data. These data will be used to perform preliminary validation of the simulation software. A preliminary comparison of the collected experimental solar module performance data with the computer simulated data will be presented.

scholarly journals MPPT for Photovoltaic System Located in Latakia Province - Syria by Using Genetic Algorithm

2019 ◽  
Vol 14 (1) ◽  
pp. 170-181
Author(s):  
Hassan Kenjrawy ◽  
Carlo Makdisie ◽  
Issam Housamo ◽  
Hassan Haes Alhelou
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Output Power ◽  
Maximum Output Power ◽  
Photovoltaic System ◽  
Maximum Output ◽  
Solar Panels ◽  
Pv System ◽  
Maximum Power Point ◽  
Power Point

The use of renewable resources for energizing the modern power systems has recently increased due to its sustainability and low operating costs. Photovoltaic (PV) system appears to be a good solution due to the fact that it can be established and operated locally. However, the maximum output power of these systems is usually achieved by using the maximum sun and power point (MPP) tracking techniques. This paper suggests a novel genetic algorithm (GA)-based technique to obtain the maximum output power of practical PV system located in the Latakia province of Syria. Based on this technique, azimuth and elevation angles of solar panels located in Latakia are first determined to track maximum radiation of the sun for every day of the whole year. After that, a GA-based technique is developed to track the maximum power point corresponding to maximum radiation during the year. Simulation results in MATLAB environment demonstrate the validation and effectiveness of the proposed GA-based technique to obtain the maximum generated power of the PV system. The results of this research can be easily adopted as a database reference to design the PV control system.

Optimal Energy Storage Portfolio for High and Ultrahigh Carbon-Free and Renewable Power Systems

2021 ◽  
Author(s):  
Omar J Guerra ◽  
Joshua Eichman ◽  
Paul Denholm
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Short Duration ◽  
Current Literature ◽  
Optimal Energy ◽  
Renewable Power ◽  
Long Duration ◽  
Storage Technologies

Achieving 100% carbon-free or renewable power systems can be facilitated by the deployment of energy storage technologies at all timescales, including short-duration, long-duration, and seasonal scales; however, most current literature...

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