Orthogonal Learning-Based Gray Wolf Optimizer For Identifying The Uncertain Parameters of Various Photovoltaic Models

2021 ◽  
Author(s):  
Felix Joseph Xavier ◽  
A.Pradeep ◽  
A.Anbarasan ◽  
C.Kumar
Keyword(s):  
Identification Problem ◽  
Photovoltaic System ◽  
Computational Techniques ◽  
Gray Wolf ◽  
Unknown Parameters ◽  
Pv System ◽  
Gray Wolf Optimizer ◽  
Parameter Identification Problem ◽  
Exploitation And Exploration ◽  
Orthogonal Learning

Abstract Determining the optimal parameters for the photovoltaic system (PV) model is essential during the design, evolution, development, estimation, and PV systems analysis. Therefore, it is crucial for the proper advancement of the best parameters of the PV models based on modern computational techniques. Thus, this work suggests a new Orthogonal-Learning-Based Gray Wolf Optimizer (OLBGWO) through a local exploration for estimating the unknown variables of PV cell models. The exploitation and exploration capability of the basic Gray Wolf Optimizer (GWO) is improved by the orthogonal-learning-based (OLB) approach, and this arrangement promotes a highly reliable equilibrium between the exploitation and exploration levels of the algorithm. In OLBGWO, the OLB strategy is used to find the best solution for the poor populations and directs the population to review the potential search area during the iterative process. Also, an exponential decay function is employed to decrease the value of vector a in GWO. The developed algorithm is directly applied to the parameter identification problem of the PV system. The proposed OLBGWO algorithm estimates the unknown parameters of the single-diode model (SDM), double-diode model (DDM), and PV module model. The performance of the OLBGWO is compared with other competitive algorithms to prove its superiority. The simulation results prove that the OLBGWO algorithm can achieve high solution accuracy with high convergence speed.

scholarly journals An Improved Gray Wolf Optimizer MPPT Algorithm for PV System With BFBIC Converter Under Partial Shading

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 103476-103490 ◽  
Author(s):  
Ke Guo ◽  
Lichuang Cui ◽  
Mingxuan Mao ◽  
Lin Zhou ◽  
Qianjin Zhang
Keyword(s):  
Gray Wolf ◽  
Pv System ◽  
Partial Shading ◽  
Gray Wolf Optimizer

scholarly journals A review on the methods to mitigate the challenges in photovoltaic system

2018 ◽  
Vol 225 ◽  
pp. 03019
Author(s):  
Rina Syazwani Zulkafli ◽  
Nasrul Amri Mohd Amin ◽  
Mohd Sani Mohamad Hashim ◽  
Mohd Hafif Basha ◽  
Mohd Shukry Abdul Majid ◽  
...  
Keyword(s):  
Literature Review ◽  
Output Power ◽  
Operating Temperature ◽  
Photovoltaic System ◽  
Computational Techniques ◽  
Pv System ◽  
Partial Shading ◽  
High Operating Temperature ◽  
The Future

The quantity of electricity produced from the photovoltaic (PV) system is depends on the PV panel’s performance itself. Recently, the challenges in the PV system have been greatly discussed by researchers and environmentalists. The non-uniform PV output power, partial shading conditions and high operating temperature of PV cells are the challenges that always known to reduce the PV system’s performance. This paper provides a literature review on the challenges and methods to mitigate the challenges. The future works involving of modelling and computational techniques also has been proposed to overcome the problems, hence, enhancing the PV system’s performance.

scholarly journals A new meta-heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi-lateral distribution system for improving resilience

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Varaprasad Janamala
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Optimal Allocation ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Voltage Profile ◽  
Pv System ◽  
Solar Photovoltaic System ◽  
The Impact

AbstractA new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integration of a solar photovoltaic system among multi-laterals, called interline-photovoltaic (I-PV) system. At first, the performance of PFA is evaluated by solving the optimal allocation of distribution generation problem in IEEE 33- and 69-bus systems for loss minimization. The obtained results show that the performance of proposed PFA is superior to PSO, TLBO, CSA, and GOA and other approaches cited in literature. The comparison of different performance measures of 50 independent trail runs predominantly shows the effectiveness of PFA and its efficiency for global optima. Subsequently, PFA is implemented for determining the optimal I-PV configuration considering the resilience without compromising the various operational and radiality constraints. Different case studies are simulated and the impact of the I-PV system is analyzed in terms of voltage profile and voltage stability. The proposed optimal I-PV configuration resulted in loss reduction of 77.87% and 98.33% in IEEE 33- and 69-bus systems, respectively. Further, the reduced average voltage deviation index and increased voltage stability index result in an improved voltage profile and enhanced voltage stability margin in radial distribution systems and its suitability for practical applications.

Performance assessment of free standing and building integrated grid connected photovoltaic system for southern part of India

2020 ◽  
pp. 014362442097774
Author(s):  
VS Chandrika ◽  
M Mohamed Thalib ◽  
Alagar Karthick ◽  
Ravishankar Sathyamurthy ◽  
A Muthu Manokar ◽  
...  
Keyword(s):  
Geographical Location ◽  
Photovoltaic System ◽  
Building Structures ◽  
System Efficiency ◽  
Pv System ◽  
Free Standing ◽  
Pv Module ◽  
Building Integrated Photovoltaic ◽  
Community Buildings ◽  
Equatorial Climate

Photovoltaic (PV) system efficiency depends on the geographical location and the orientation of the building. Until installing the building structures, the integration of the PV module must be evaluated with ventilation and without ventilation effects. This work optimises the performance of the 250 kWp grid-connected photovoltaic (GPV) for community buildings in the southern part of India. This simulation is carried out to evaluate the system efficiency of the GPV system under various ventilation conditions, such as free-standing PV (FSPV), building integrated photovoltaic ventilated (BIPV_V) and Building Integrated Photovoltaic without ventilation (BIPV). The PVsyst simulation tool is used to simulate and optimise the performance of the system with FSPV, BIPV and BIPV_V for the region of Chennai (13.2789° N, 80.2623° E), Tamilnadu, India. An annual system energy production is 446 MWh, 409 MWh and 428 MWh of FSPV, BIPV and BIPV_V system respectively. while electrical efficiency for the FSPV, BIPV_V, BIPV system is 15.45%. 15.25% and 14.75% respectively. Practical application: Integrating the grid connected photovoltaic system on the building reduces the energy consumption in the building. The integration of the PV on the roof or semi integrated on the roof is need to be investigated before installing on the buildings. The need for installation of the BIPV with ventilation is explored. This study will assist architects and wider community to design buildings roofs with GPV system which are more aesthetic and account for noise protection and thermal insulation in the region of equatorial climate zones.

A simplified method for fault detection and identification of mismatch modules and strings in a grid-tied solar photovoltaic system

2020 ◽  
Vol 21 (4) ◽  
Author(s):  
Namani Rakesh ◽  
Sanchari Banerjee ◽  
Senthilkumar Subramaniam ◽  
Natarajan Babu
Keyword(s):  
Characteristic Curve ◽  
Dynamic Change ◽  
Photovoltaic System ◽  
Small Scale ◽  
Pv System ◽  
Pv Array ◽  
Detection And Identification ◽  
Fault Detection And Identification ◽  
Theoretical Predictions ◽  
Solar Photovoltaic System

AbstractThe foremost problem facing by the photovoltaic (PV) system is to identify the faults and partial shade conditions. Further, the power loss can be avoided by knowing the number of faulty modules and strings. Hence, to attend these problems, a new method is proposed to differentiate the faults and partially shaded conditions along with the number of mismatch modules and strings for a dynamic change in irradiation. The proposed method has developed in two main steps based on a simple observation from the Current versus Voltage (I-V) characteristic curve of PV array at Line-Line (LL) fault. First, the type of fault is detected using defined variables, which are continuously updated from PV array voltage, current, and irradiation. Second, it gives the number of mismatch modules (or short-circuited bypass diodes) and mismatch strings (or open-circuited blocking diodes) by comparing with the theoretical predictions from the I-V characteristic curve of PV array. The proposed algorithm has been validated both on experimentation using small scale grid-connected PV array developed in the laboratory as well as MATLAB/Simulink simulations. Further, the comparative assessment with existing methods is presented with various performance indices to show the effectiveness of the proposed algorithm.

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