scholarly journals Wind Loads on a Solar Panel at High Tilt Angles

2019 ◽  
Vol 9 (8) ◽  
pp. 1594 ◽  
Author(s):  
Chin-Cheng Chou ◽  
Ping-Han Chung ◽  
Ray-Yeng Yang

A solar photovoltaic system consists of tilted panels and is prone to extreme wind loads during hurricanes or typhoons. To ensure the proper functioning of the system, it is important to determine its aerodynamic characteristics. Offshore photovoltaic (PV) systems have been developed in recent years. Wind loads are associated with wind, wave climates, and tidal regimes. In this study, the orientation of a single panel is adjusted to different angles of tilt (10°–80°) and angles of incidence for wind (0°–180°) that are pertinent to offshore PV panels. The critical wind loads on a tilted panel are observed at lower angles of incidence for the wind, when the angle of tilt for the panel is greater than 30°.

2018 ◽  
Vol 225 ◽  
pp. 04004
Author(s):  
Tan Dei Han ◽  
Mohamad Rosman M. Razif ◽  
Shaharin A. Sulaiman

Solar photovoltaic (PV) systems has the potential of supplying infinite electricity from renewable energy to rural areas around Malaysia. Various preterm failures happening frequently on the system lead to its drop in efficiency and breakdown. Lack of studies on the system in Malaysia hinders the development in terms of operation and maintenance. There is no proper documentation relevant to the premature failure of the system in Malaysia. The main objective of this project is to study the nature of premature failure of stand-alone solar photovoltaic system in Malaysia in order to improve the operation and maintenance of the system. The present study would provide reference for proper planning on operation and maintenance of the PV system. The study was conducted base on expert’s input and extensive literature survey. FMEA method and ISM approach are applied to analyze the data collected. Poor cooling system have the highest risk priority number. Poor workmanship is the least depending factor for premature failure to happen thus requires most attention. Highest driving force of premature failure is poor monitoring and maintenance. More focus should be given to these premature failure during the planning for operation and maintenance due to its severity and impact.


2016 ◽  
Vol 5 (3) ◽  
pp. 249-257 ◽  
Author(s):  
Muhammad Izuan Fahmi Romli ◽  
Rajprasad Kumar Rajkumar ◽  
Wong Yee Wan ◽  
Chong Lee Wai ◽  
Roselina Arelhi ◽  
...  

Countries like Malaysia have more that 70% of its population living in rural areas. Majority of these rural areas lie in regions where most villages do not have grid connected electricity. Renewable energy using photovoltaic (PV) panels offers an alternative and cost efficient solution that exploits the yearlong abundance of sunlight available in countries like Malaysia. The main problem with PV systems is the high maintenance costs in replacing batteries every few years which makes PV systems unattractive for rural areas. A full scale PV system, developed in Semenyih Malaysia, aims to increase battery lifetime and reduce maintenance costs by incorporating supercapacitors. The system was developed in a life-sized cabin to mimic a rural home. A programmable load is used to test the system with the load profile of a typical rural household usage. Experimental and simulation results show that the supercapacitor bank is able to reduce the stress on the battery by absorbing peak current surges. Results also show that the system is able to maintain a high battery state of charge during the entire day.Article History: Received June 17th 2016; Received in revised form August 16th 2016; Accepted Sept 10th 2016; Available onlineHow to Cite This Article: Fahmi, M.I., Rajkumar, R.,  Wong, Y.W., Chong, L.W., Arelhi, R., and Isa, D. (2016) The Effectiveness of New Solar Photovoltaic System with Supercapacitor for Rural Areas. Int. Journal of Renewable Energy Development, 5(3), 249-257.http://dx.doi.org/10.14710/ijred.5.3.249-257


2015 ◽  
Vol 785 ◽  
pp. 551-555
Author(s):  
Cheiw Yun Lau ◽  
Chin Kim Gan ◽  
Chin Ho Tie ◽  
Kyairul Azmi Baharin ◽  
Mohamad Fani Sulaima

The introduction of Feed-in Tariff (FiT) scheme has prompted an increasing number of grid-connected Photovoltaic (PV) systems installations in Malaysia. As a consequence, the network issues related to the PV systems integration need to be properly addressed. This includes the effect of solar irradiance intermittency which is caused by the passing-clouds. In this regard, this paper investigates the effect of passing-cloud on a standard IEEE 4 node test feeder, focusing on short term voltage drop analysis. Actual five-minute interval PV generation data in Melaka, Malaysia was used in the analysis. The network was analyzed by using the well-knownOpenDSStool. The network voltage impact of different PV penetration levels were investigated on both sunny and cloudy days. The results show that temporal voltage drop could occur on the network when there is a sudden drop of PV generation driven by passing-cloud. The percentage of voltage drop recorded was observed to be proportionate to the increment of PV penetration levels.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Varaprasad Janamala

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.


2020 ◽  
Vol 29 (15) ◽  
pp. 2050246 ◽  
Author(s):  
B. N. Ch. V. Chakravarthi ◽  
G. V. Siva Krishna Rao

In solar photovoltaic (PV)-based DC microgrid systems, the voltage output of the classical DC–DC converter produces very less voltage as a result of poor voltage gain. Therefore, cascaded DC–DC boost converters are mandatory for boosting the voltage to match the DC microgrid voltage. However, the number of devices utilized in the DC–DC conversion stage becomes higher and leads to more losses. Thereby, it affects the system efficiency and increases the complication of the system and cost. In order to overcome this drawback, a novel double-boost DC–DC converter is proposed to meet the voltage in DC microgrid. Also, this paper discusses the detailed operation of maximum power point (MPP) tracking techniques in the novel double-boost DC–DC converter topology. The fundamental [Formula: see text]–[Formula: see text] and [Formula: see text]–[Formula: see text] characteristics of solar photovoltaic system, operational details of MPP execution and control strategies for double-boost DC/DC converter are described elaborately. The proposed converter operation and power injection into the DC microgrid are verified through the real-time PSCAD simulation and the validation is done through the experiment with hardware module which is indistinguishable with the simulation platform.


Author(s):  
Rahul Bisht ◽  
Afzal Sikander

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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