scholarly journals Mathematical Modeling of Battery and Ultra Capacitor for Photo Voltaic System

2018 ◽  
Vol 7 (3.27) ◽  
pp. 41
Author(s):  
Rupanshu Suhane ◽  
M K. Chopra ◽  
V V.K. Sethi

In this paper the scientific displaying of battery and ultra capacitor is performed for solar photovoltaic system. The expansion of the ultra capacitor bank displays the requirement for a philosophy to upgrade the photovoltaic system to avoid abundance battery stockpiling. This work traces the strategy used to streamline the blend of photovoltaic boards, batteries, and ultra capacitors for a given solar radiation and load profile. Lessening supplies of petroleum derivative, top oil and the natural effect of non-renewable energy sources on the earth has energized a development in manageable energies, for example, wind and solar power.  

Author(s):  
Pushpendra Arya

In today’s world we are going towards the major share of renewable energy to reduce the effect Green House Gases (GHG) in the atmosphere. The limitation of energy sources which produces clean energy, the rise in the pollution in the environment, and programs initiated by the Indian Government have encouraged lots of open field researches on Solar Photovoltaic Systems or Solar Energy Systems. As producing the clean and renewable energy is main component of energy sector, solar photovoltaic could be considered as an alternative in various regions. Although Solar Photovoltaic does have different advantages and can be used for various purposes, but also there are several challenges for it. This paper took a whole overview of the advantages and uses of Solar Photovoltaic and barriers in their adaptation/opportunities.


2021 ◽  
Vol 2070 (1) ◽  
pp. 012147
Author(s):  
Sarang Kapoor ◽  
Arvind Kumar Sharma ◽  
Deepak Porwal

Abstract The load demand is increasing rapidly, with limited coal fired plants. In this situation, many researchers are trying to find a way through which, we can make the balance between energy demand and supply for the consumers. The renewable energy sources are gaining popularity as green, clean, and abundant sources of energy. Solar energy is available throughout the year in India and thus provides an alternate source of energy to fulfil the local load demand. The function of solar PV system, depends on the numerous factors i.e. site location, qualities of material to make system components and accessibility of solar radiation etc. In previous research work, many simulation based analysis have been done through PV-syst software package by considering solar photovoltaic system at different sites around the world. In this proposed paper, we are designing and simulating a “60kWp solar power plant” which is basically an on-grid type solar photovoltaic system by PV-syst software version 7.2.2 in rural area of Uttar-Pradesh, India. This analysis has been done for seasonal tilt angles i.e. 10° for summer season and 47° for winter season. Later on, detailed performance study and various losses descriptions are summarized in upcoming segments for the proposed system.


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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