ESTIMATION OF PV MODULE PARAMETERS USING GENERALIZED HOPFIELD NEURAL NETWORK

The estimation of solar photovoltaic (PV) system with help of electrical model parameters, such as photon generated current, the diode saturation current, series resistance, shunt resistance, and diode ideality factor, are desirable to predict the real performance characteristics of solar PV under varying environmental conditions. Finally, performance indices, such as PV characteristics curve are estimated for the various solar PV panels, using Newton Raphson (NR) to reveal the effectiveness of the proposed method. Also, validation with `experimental data has been considered. Finally, through the comparative analysis of the results, it is revealed that the proposed method offers solar PV characteristics closer to the real characteristics.

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Feasibility Study of Grid-Connected Solar Photovoltaic (PV) System for Primary School in Johor

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v11.i1.pp233-240 ◽

2018 ◽

Vol 11 (1) ◽

pp. 233

Author(s):

Siti Amely Jumaat ◽

Adhwa Amsyar Syazwan Ab Majid ◽

Chin Kim Gan ◽

Mohd Noor Abdullah ◽

Nur Hanis Radzi ◽

...

Keyword(s):

Educational Institution ◽

Project Planning ◽

Solar Photovoltaic ◽

Solar Pv ◽

System Implementation ◽

Huge Amount ◽

Pv System ◽

Pv Module ◽

Solar Pv System ◽

The Cost

This project aims to determine the potential of grid connected solar Photovoltaic (PV) implementation and project planning of solar PV System in school. Generally, the educational institution used huge amount of electricity to operate so their monthly bills is expensive. Therefore, the project planning is necessary to determine the potential of solar PV system implementation. The project planning consists of the current electricity consumed by the school and the amount of 120W Monocrystalline PV module needed by them. The cost of project are determines to identify the initial cost of this project implementation. Lastly, analysis on the profit collected by SK Pintas Raya after 20 years of solar PV system implementation proved the importance of this project.

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PV modeling and Maximum power extraction using Voltage Control Algorithm

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d7418.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 5220-5224

Keyword(s):

Control Algorithm ◽

Voltage Control ◽

Standard Test ◽

Climatic Conditions ◽

Maximum Power ◽

Solar Pv ◽

Pv System ◽

Shunt Resistance ◽

Power Extraction ◽

Current Series

In this paper a Voltage Control Algorithm (VCA) is implemented for maximum power point tracking (MPPT) from solar photovoltaic (PV) system with less complexity. In addition, single diode model is designed and applied for solar PV modelling without applying any approximation conditions. In modelling, PV manufacturer’s provides limited parameters in datasheet at standard test condition (STC). The information given in the manufacturer’s datasheet is not enough in identification of the characteristic curves of solar PV panel under different climatic conditions. In single diode model has five parameters namely, photo current , diode current ( ), series resistance ( ), shunt resistance ( ) and ideality factor (A). These parameters are extracted using gauss seidal method with the help of manufacturer’s information. The suggested proposed MPPT algorithm is implemented in the DC-DC boost converter and simulation results are compared with existing P&O MPPT technique. Finally the proposed algorithm is able to track maximum power for given solar PV system with less oscillation and less complexity

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A novel way of parameter estimation of solar photovoltaic system

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ◽

10.1108/compel-05-2021-0166 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Rahul Bisht ◽

Afzal Sikander

Keyword(s):

Parameter Estimation ◽

Mean Absolute Error ◽

Optimization Technique ◽

Absolute Error ◽

Photovoltaic System ◽

Solar Photovoltaic ◽

Solar Pv ◽

Solar Panels ◽

Content Type ◽

Solar Photovoltaic System

Purpose This paper aims to achieve accurate maximum power from solar photovoltaic (PV), its five parameters need to be estimated. This study proposes a novel optimization technique for parameter estimation of solar PV. Design/methodology/approach To extract optimal parameters of solar PV new optimization technique based on the Jellyfish search optimizer (JSO). The objective function is defined based on two unknown variables and the proposed technique is used to estimate the two unknown variables and the rest three unknown variables are estimated analytically. Findings In this paper, JSO is used to estimate the parameters of a single diode PV model. In this study, eight different PV panels are considered. In addition, various performance indices, such as PV characteristics, such as power-voltage and current-voltage curves, relative error (RE), root mean square error (RMSE), mean absolute error (MAE) and normalized mean absolute error (NMAE) are determined using the proposed algorithm and existing algorithms. The results for different solar panels have been obtained under varying environmental conditions such as changing temperature and constant irradiance or changing irradiance and constant temperature. Originality/value The proposed technique is new and provides better results with minimum RE, RMSE, NMAE, MAE and converges fast, as depicted by the fitness graph presented in this paper.

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Grid Parity of Residential Building Rooftop Solar PV in India

Strategic Planning for Energy and the Environment ◽

10.13052/spee1048-4236.39142 ◽

2021 ◽

pp. 19-40

Author(s):

Rakesh Dalal ◽

Kamal Bansal ◽

Sapan Thapar

Keyword(s):

Residential Building ◽

Solar Photovoltaic ◽

Solar Pv ◽

Indian Government ◽

Pv System ◽

Pv Systems ◽

Grid Parity ◽

Solar Pv System ◽

Utility Grid ◽

Rooftop Solar

Rooftop solar photovoltaic(PV) installation in India have increased in last decade because of the flat 40 percent subsidy extended for rooftop solar PV systems (3 kWp and below) by the Indian government under the solar rooftop scheme. From the residential building owner's perspective, solar PV is competitive when it can produce electricity at a cost less than or equal grid electricity price, a condition referred as “grid parity”. For assessing grid parity of 3 kWp and 2 kWp residential solar PV system, 15 states capital and 19 major cities were considered for the RET screen simulation by using solar isolation, utility grid tariff, system cost and other economic parameters. 3 kWp and 2 kWp rooftop solar PV with and without subsidy scenarios were considered for simulation using RETscreen software. We estimate that without subsidy no state could achieve grid parity for 2kWp rooftop solar PV plant. However with 3 kWp rooftop solar PV plant only 5 states could achieve grid parity without subsidy and with government subsidy number of states increased to 7, yet wide spread parity for residential rooftop solar PV is still not achieved. We find that high installation costs, subsidized utility grid supply to low energy consumer and financing rates are major barriers to grid parity.

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Design of a Building-Integrated Photovoltaic System with a Novel Bi-Reflector PV System (BRPVS) and Optimal Control Mechanism: An Experimental Study

Electronics ◽

10.3390/electronics7070119 ◽

2018 ◽

Vol 7 (7) ◽

pp. 119 ◽

Cited By ~ 3

Author(s):

Muhammad Khan ◽

Kamran Zeb ◽

Waqar Uddin ◽

P. Sathishkumar ◽

Muhammad Ali ◽

...

Keyword(s):

Low Cost ◽

Input Voltage ◽

Photovoltaic System ◽

Solar Pv ◽

Pv System ◽

Building Integrated Photovoltaics ◽

Pv Module ◽

Solar Pv System ◽

Zero Carbon ◽

The Cost

Environment protection and energy saving are the most attractive trends in zero-carbon buildings. The most promising and environmentally friendly technique is building integrated photovoltaics (BIPV), which can also replace conventional buildings based on non-renewable energy. Despite the recent advances in technology, the cost of BIPV systems is still very high. Hence, reducing the cost is a major challenge. This paper examines and validates the effectiveness of low-cost aluminum (Al) foil as a reflector. The design and the performance of planer-reflector for BIPV systems are analyzed in detail. A Bi-reflector solar PV system (BRPVS) with thin film Al-foil reflector and an LLC converter for a BIPV system is proposed and experimented with a 400-W prototype. A cadmium–sulfide (CdS) photo-resistor sensor and an Arduino-based algorithm was developed to control the working of the reflectors. Furthermore, the effect of Al-foil reflectors on the temperature of PV module has been examined. The developed LLC converter confirmed stable output voltage despite large variation in input voltage proving its effectiveness for the proposed BRPVS. The experimental results of the proposed BRPVS with an Al-reflector of the same size as that of the solar PV module offered an enhancement of 28.47% in the output power.

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Reliability, Availability and Maintainability Analysis for Grid-Connected Solar Photovoltaic Systems

Energies ◽

10.3390/en12071213 ◽

2019 ◽

Vol 12 (7) ◽

pp. 1213 ◽

Cited By ~ 11

Author(s):

A. Sayed ◽

M. El-Shimy ◽

M. El-Metwally ◽

M. Elshahed

Keyword(s):

Block Diagram ◽

Solar Photovoltaic ◽

Solar Pv ◽

Pv System ◽

Safety Issues ◽

Pv Systems ◽

Area Of Interest ◽

Novel Approach ◽

Maintainability Analysis ◽

Ram Analysis

Recently, solar power generation is significantly contributed to growing renewable sources of electricity all over the world. The reliability and availability improvement of solar photovoltaic (PV) systems has become a critical area of interest for researchers. Reliability, availability, and maintainability (RAM) is an engineering tool used to address operational and safety issues of systems. It aims to identify the weakest areas of a system which will improve the overall system reliability. In this paper, RAM analysis of grid-connected solar-PV system is presented. Elaborate RAM analysis of these systems is presented starting from the sub-assembly level to the subsystem level, then the overall system. Further, an improved Reliability Block Diagram is presented to estimate the RAM performance of seven practical grid-connected solar-PV systems. The required input data are obtained from worldwide databases of failures, and repair of various subassemblies comprising various meteorological conditions. A novel approach is also presented in order to estimate the best probability density function for each sub-assembly. The monitoring of the critical subassemblies of a PV system will increase the possibility not only for improving the availability of the system, but also to optimize the maintenance costs. Additionally, it will inform the operators about the status of the various subsystems of the system.

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Solar Concentrators In Malaysia: Towards The Development Of Low Cost Solar Photovoltaic Systems

Jurnal Teknologi ◽

10.11113/jt.v55.914 ◽

2012 ◽

Author(s):

Firdaus Muhammad Sukki ◽

Roberto Ramirez Iniguez ◽

Scott G. Mcmeekin ◽

Brian G. Stewart ◽

Barry Clive

Keyword(s):

Financial Analysis ◽

Low Cost ◽

Good Alternative ◽

Solar Photovoltaic ◽

Solar Pv ◽

Financial Benefit ◽

Pv System ◽

Solar Concentrators ◽

Pv Systems ◽

Solar Pv System

Solar energy has become a matter of global attention in the past few years. This paper explores the use and benefit of solar concentrators in the solar photovoltaic (PV) systems. First, a short literature review of previous research on the usage of solar concentrators in improving solar PV system performance and reducing the cost of implementation is presented. This is followed by an overview of SolarBrane, an example of a Building Integrated photovoltaic (BIPV) system which uses an optical concentrator in the solar PV design. An optimised design of the SolarBrane is also discussed afterwards. A financial benefit study is conducted to compare the average return of investment of using the optimised SolarBrane and traditional solar PV installed in Malaysia’s environment. SolarBrane has proven to be a good alternative to achieve costeffective solar PV system. The financial analysis simulated under the new Malaysian Feed–In Tariff scheme indicates that the optimised SolarBrane could potentially reduce the initial cost of implementation by 40% and generate higher return, close to 20%, when compared to traditional solar PV systems. Key words: Solar photovoltaic; solar concentrator; solarBrane; dielectric totally internally reflecting concentrator; financial analysis

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Solar Photovoltaic Power Prediction Using Big Data Tools

Sustainability ◽

10.3390/su132413685 ◽

2021 ◽

Vol 13 (24) ◽

pp. 13685

Author(s):

Mariz B. Arias ◽

Sungwoo Bae

Keyword(s):

Big Data ◽

Prediction Model ◽

Solar Irradiance ◽

Weather Data ◽

Solar Photovoltaic ◽

Solar Pv ◽

Power Prediction ◽

Pv System ◽

Generation Planning ◽

Solar Pv System

Solar photovoltaic (PV) installation has been continually growing to be utilized in a grid-connected or stand-alone network. However, since the generation of solar PV power is highly variable because of different factors, its accurate forecasting is critical for a reliable integration to the grid and for supplying the load in a stand-alone network. This paper presents a prediction model for calculating solar PV power based on historical data, such as solar PV data, solar irradiance, and weather data, which are stored, managed, and processed using big data tools. The considered variables in calculating the solar PV power include solar irradiance, efficiency of the PV system, and characteristics of the PV system. The solar PV power profiles for each day of January, which is a summer season, were presented to show the variability of the solar PV power in numerical examples. The simulation results show relatively accurate forecasting with 17.57 kW and 2.80% as the best root mean square error and mean relative error, respectively. Thus, the proposed solar PV power prediction model can help power system engineers in generation planning for a grid-connected or stand-alone solar PV system.

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Design of Augmented Cooling System for Urban Solar PV System

MATEC Web of Conferences ◽

10.1051/matecconf/202133503002 ◽

2021 ◽

Vol 335 ◽

pp. 03002

Author(s):

Chong Jia Joon ◽

Kelvin Chew Wai Jin

Keyword(s):

Cooling System ◽

Electrical Energy ◽

Solar Photovoltaic ◽

Solar Pv ◽

Pv System ◽

Pv Panel ◽

Solar Pv System ◽

Low Efficiency ◽

Electrical Loads ◽

Temperature Output

Solar photovoltaic (PV) panels have been widely used to convert the renewable energy from the sun to electrical energy to power electrical loads but suffers from relatively low efficiency between 15% to 22%. Typically, the panels have an average lifespan of 25 to 30 years but could degrade quicker due to the panel overheating. Beyond the optimum working temperature of 25°C, a drop of efficiency by 0.4 to 0.5% for every 1°C had been reported. For solar PV applications in urban regions, passive cooling is beneficial due to limited amount of space and lower energy consumption compared to active cooling. A solar PV system with augmented cooling was conducted at a balcony of a condominium from 10am until 2pm. The solar PV system consisted of an Arduino controller, solar panel module, temperature sensor and LCD monitor. Reusable cold and hot gel packs were attached to the bottom of the solar PV. Both setups of solar PV panel with and without the cooling system were placed at the balcony simultaneously for measurement of temperature, output voltage and current. From this research, the outcome of implementing a cooling system to the solar PV increases the efficiency of the energy conversion.

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