Faculty Publications

Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736

Publications by NITK Faculty

Browse

Author: search.filters.author.Goud, J.S.Has files: No

Search Results

Now showing 1 - 7 of 7
  • No Thumbnail Available
    Item
    Optimal sizing of hybrid power supply system for telecommunication BTS load to ensure reliable power at lower cost
    (Institute of Electrical and Electronics Engineers Inc., 2018) Goud, J.S.; Kalpana, R.
    Currently telecom towers are using Diesel Generators (DG) as source of supply, which is rather expensive and emits environmental pollutants. This paper analyses the solar photovoltaic (PV) systems, battery, DG based hybrid system to supply seamless power to remotely located telecom BTS stations in standalone mode and grid connected mode. Also this paper aims to decrease DG working hours to reduce carbon emission and running cost of the system. In the conventional hybrid power supply system, Lead-acid batteries are used as an energy storage system, which has short life span and it requires frequent replacements. Conventional lead acid battery can be replaced by Li-Ion battery which overcomes the disadvantages of above mentioned. This paper gives brief comparative study of different Li-Ion batteries in terms of their performance and cycle life. Also, this paper deals with economic analysis of the optimally sized hybrid system. The hybrid systems discussed in this paper are also simulated in HOMER software to validate the results and theoretical analysis. Methodology carried out in this paper is time horizon based and solar insolation level considered in the paper is of Bangalore city in India (latitude: 12.9716° N, longitude: 77.5946° E). © 2017 IEEE.
  • No Thumbnail Available
    Item
    Low Frequency Ripple Charging of Li-Ion Battery using Bidirectional Zeta DC-DC Converter to Improve Charge Transfer Efficiency
    (Institute of Electrical and Electronics Engineers Inc., 2018) Goud, J.S.; Kalpana, R.; Kiran, R.; Singh, B.
    Li-ion batteries are the most popular rechargeable batteries in applications like consumer electronics and electric vehicles in comparison with other rechargeable battery chemistries due to its high specific energy and longer life cycle. The reliability and life of the battery power devices depends on state of charge (SOC) and the charging protocol used for charging the battery. In this paper, low frequency ripple current (LFRC) charging of Li-Ion battery using the Zeta bi-directional DC-DC converter is presented. Charging the battery at the optimal frequency with ripple current results in improved charge transfer efficiency, improved charging time and thereby improves the life of the battery. To realize the LFRC charging technique, Zeta bidirectional converter and mathematical model of 48V, 4Ah Li-Ion battery is designed and simulated in MATLAB/ Simulink platform. Moreover, an experimental prototype is developed to validate the LFRC charging technique. © 2018 IEEE.
  • No Thumbnail Available
    Item
    Modeling and Estimation of Remaining Useful Life of Single cell Li-Ion battery
    (Institute of Electrical and Electronics Engineers Inc., 2018) Goud, J.S.; Kalpana, R.; Singh, B.
    Li-ion batteries are playing a critical role in the fields of consumer electronics, hybrid electric vehicles, and distributed energy storage. The reliability of the battery-powered system depends on the estimation of the state of charge (SOC) and remaining useful life (RUL) of the battery being used. Majority of the commercial battery powered applications available today does not monitor the RUL of the battery. Hence, this paper presents a method to estimate the RUL of the Lithium cobalt oxide battery accurately. To validate the proposed RUL estimation method, a mathematical model of a single cell Li-Ion battery with the aging parameters such as charge/discharge rate and operating temperature has been developed in Matlab/Simulink platform. The proposed RUL estimation method is verified by applying the stress factors to the battery such as operating temperature and storage time, and the results are found satisfactory. © 2018 IEEE.
  • No Thumbnail Available
    Item
    A Hybrid Global Maximum Power Point Tracking Technique with Fast Convergence Speed for Partial-Shaded PV Systems
    (Institute of Electrical and Electronics Engineers Inc., 2018) Goud, J.S.; Kalpana, R.; Singh, B.
    Photovoltaic (PV) systems exhibit multiple local and one global maximum power points (MPPs) in their P -V and I-V curves during partial shading conditions (PSC). Thus, to improve the efficiency of the system, a global maximum power point tracking (GMPPT) algorithm is necessary. This paper presents a hybrid GMPPT algorithm for constant voltage load applications using a single current sensor. The proposed method combines single current sensor hill climbing (SSHC) and artificial bee colony (ABC) algorithms to track the GMPP. The SSHC algorithm detects the event of PSC and tracks the MPP during uniform insolation conditions. The output current of the power electronic interface is measured effectively at selective duty cycles to identify the type of P-V curve pattern and, thus, initiate either SSHC or ABC. The search space for the ABC algorithm is reduced in the proposed technique to improve the convergence speed. The proposed GMPPT technique is simulated in MATLAB and validated through experimental prototypes for various PSCs. The proposed algorithm tracks the GMPP with excellent efficiency and fast speed. © 1972-2012 IEEE.
  • No Thumbnail Available
    Item
    Maximum power point tracking technique using artificial bee colony and hill climbing algorithms during mismatch insolation conditions on PV array
    (Institution of Engineering and Technology journals@theiet.org, 2018) Goud, J.S.; Kalpana, R.; Singh, B.; Kumar, S.
    This study presents a single current sensor based hybrid maximum power point tracking method to track the global maximum power point (GMPP) of the photovoltaic (PV) array during the mismatch insolation conditions. This method combines the artificial bee colony (ABC) and hill climbing (HC) algorithms to track the GMPP of a PV array. The proposed method uses the HC algorithm to identify the occurrence of mismatch insolation conditions on PV array. During the mismatch insolation conditions, the proposed method scans the battery charging current (Icharge) versus duty cycle (D) characteristics of the power electronic interface circuit to classify the type of shading pattern of P-V curve and also to identify the vicinity of the GMPP. Based on the kind of shading pattern of a P-V curve, the proposed method operates either ABC or HC algorithm to track the GMPP. To improve the convergence speed of the proposed method, the search space of the ABC algorithm is reduced. The proposed method is modelled and simulated in MATLAB software and its performance is validated experimentally for various mismatch insolation conditions. © The Institution of Engineering and Technology 2018.
  • No Thumbnail Available
    Item
    A Global Maximum Power Point Tracking Technique of Partially Shaded Photovoltaic Systems for Constant Voltage Applications
    (Institute of Electrical and Electronics Engineers Inc., 2019) Goud, J.S.; Kalpana, R.; Singh, B.; Kumar, S.
    The P-V characteristics of photovoltaic (PV) array exhibit several maximum power points (MPP) during non-uniform insolation (i.e., during partial shading) conditions; there exists only one global MPP (GMPP), whereas others are referred to local MPP. This paper presents a technique to track the GMPP for the constant voltage or battery loads during partial shading conditions using a single sensor connected to the battery terminals. The proposed method introduces fast and efficient scanning based method, i.e., scanning Ibatt-D curve of power electronic interface at selective duty cycles to recognize the kind of the solar shading pattern (i.e., kind of P-V curve) on PV array and to find the GMPP neighborhood. Moreover, the proposed method overcomes the drawbacks of existing methods such as low convergence speed, increased number of sensors, and heavy computational complexity. The proposed GMPPT method is simulated in MATLAB/Simulink and validated through test results on a prototype for various non-uniform insolation conditions. The results have shown that this paper tracks the GMPP with best tracking efficiency and fast tracking speed. Further, the proposed method is compared with two P-V curve scanning based GMPPT methods and one global optimization based artificial bee colony method. © 2018 IEEE.
  • No Thumbnail Available
    Item
    An Online Method of Estimating State of Health of a Li-Ion Battery
    (Institute of Electrical and Electronics Engineers Inc., 2021) Goud, J.S.; Kalpana, R.; Singh, B.
    Li-ion batteries are playing a crucial role in the fields of renewable energy systems and electric vehicles. The reliability of these systems depends on a battery management system (BMS) which monitors the state of charge (SoC) and state of health (SoH) effectively. Knowing the SoH of a battery in advance enhances the system reliability. This article proposes an accurate online estimation of SoH of a Li-ion battery integrated in solar photovoltaic system (SPV) applications. The proposed method uses the modified coulomb counting method to estimate the SoH of a battery. The proposed SoH estimation method is simulated in MATLAB/Simulink by considering the aging factors such as temperature, charge/discharge rates and depth of discharge. Moreover, the proposed method is validated using an experimental prototype and the results are found to be satisfactory. © 1986-2012 IEEE.