Browsing by Author "Sabhahit, J.N."

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A control strategy for power management in a PV-battery hybrid system with MPPT
(Institute of Electrical and Electronics Engineers Inc., 2017) Sabhahit, J.N.; Gaonkar, D.N.; Adarsh, S.; Sunil, S.
The paper presents a control strategy which manages the power flow between a Photovoltaic (PV) module, battery and the load. Since PV system provides an unregulated voltage output, it is regulated to a desired voltage level and then given to the charge controller, which distributes the power between battery and load. To extract acme power from PV system, a Maximum Power Point Tracking (MPPT) scheme is employed. The excess energy left, after meeting the load demand, is stored in the battery. The stored energy is utilized to meet the future load demands, when there is a power deficit from the PV system. Hence power requirement of the load is managed. Also a comparison between the three commonly used MPPT techniques: Perturb & Observe (P&O) algorithm, Incremental Conductance (IC) algorithm and Fractional Open Circuit Voltage (FOCV) algorithms is done and the most suitable technique is employed for the hybrid system. When the battery is fully charged, the excess power is absorbed by the dump load, which is also managed by the charge controller. The entire hybrid system is simulated and verified in the MATLAB/Simulink platform. Â© 2016 IEEE.
GA based optimal location and size of the distributed generators in distribution system for different load conditions
(Institute of Electrical and Electronics Engineers Inc., 2017) Shivarudraswamy, R.; Gaonkar, D.N.; Sabhahit, J.N.
In the recent past factors such as apprehensions over impacts of environmental aspects, distribution network improvement conditions, and other subsidised programs of the government have affected the distributed generators (DG) units count in commercial and domestic electrical power output. It is known that the optimal size and optimal placement of DG units may lead to low power losses, high voltage profiles. In real time scenario identifying an appropriate DG location and size is hard because of various system constraints. Therefore a method which can identify a optimum DG location and size is necessary. Using the method a power system with an acceptable reliability level and voltage profile can be designed. To serve this purpose in this paper a procedure/method which can calculate the optimum location for DG placement and appropriate DG size has been proposed. This method has been evaluated using a 14 bus distribution system. The optimization method has been designed using genetic algorithm (GA) and also for time varying loads. Â© 2016 IEEE.
Integrated power flowand voltage regulation of stand-alone PV-fuel cell system with supercapacitors
(2017) Sabhahit, J.N.; Gaonkar, D.N.; Nempu, P.B.
The output of the solar cell is fluctuating due to intermittency of solar irradiation. Hybridizing the solar photovoltaic (PV) system with other sources and appropriate storage devices is essential to generate electricity continuously. This paper presents the control strategies for a PV-fuel cell hybrid power system with supercapacitor bank for isolated load applications. Supercapacitor bank is controlled using a bidirectional DC/DC converter so as to regulate voltage at a DC link and to keep the system stable under transient load variations. The H-bridge inverter is controlled to regulate voltage and frequency across the load. The PV system is controlled to extract maximum power using the maximum power point tracking algorithm. This paper aims to provide a single-phase supply with constant voltage and frequency to the consumers with proper power sharing among different sources. The hybrid system is realized in Matlab/Simulink environment.
Integrated power flowand voltage regulation of stand-alone PV-fuel cell system with supercapacitors
(Acta Press journals@actapress.com, 2017) Sabhahit, J.N.; Gaonkar, D.N.; Nempu, P.B.
The output of the solar cell is fluctuating due to intermittency of solar irradiation. Hybridizing the solar photovoltaic (PV) system with other sources and appropriate storage devices is essential to generate electricity continuously. This paper presents the control strategies for a PV-fuel cell hybrid power system with supercapacitor bank for isolated load applications. Supercapacitor bank is controlled using a bidirectional DC/DC converter so as to regulate voltage at a DC link and to keep the system stable under transient load variations. The H-bridge inverter is controlled to regulate voltage and frequency across the load. The PV system is controlled to extract maximum power using the maximum power point tracking algorithm. This paper aims to provide a single-phase supply with constant voltage and frequency to the consumers with proper power sharing among different sources. The hybrid system is realized in Matlab/Simulink environment.
Novel Power Smoothing Technique for a Hybrid AC-DC Microgrid Operating with Multiple Alternative Energy Sources
(Universitatea "Stefan cel Mare" din Suceava, 2021) Nempu, P.B.; Sabhahit, J.N.; Gaonkar, D.N.; Rao, V.S.
The power produced by renewable sources such as photovoltaic systems and wind energy conversion systems is highly intermittent due to continuously changing irradiance and wind velocity. When the distributed generation systems employing photovoltaic (PV) array and wind energy conversion system (WECS) operate in grid-tied mode, the power fluctuations affect the power quality of the grid. In a hybrid AC-DC microgrid (HMG), the dynamics of DC and AC subgrids influence each other. This paper proposes a supercapacitor based novel power smoothing methodology for the HMG with PV array, WECS, fuel cell (FC) and electrolyzer (EL) based hydrogen storage system considering the power fluctuations in both subgrids. The power smoothing technique on the DC subgrid aims to facilitate instantaneous power balance. The Kalman filter (KF) based velocity smoothing (KFV) approach is developed for the WECS. The KFV technique is compared with the power smoothing techniques presented in the literature. The KFV method is found to be effective in computing the smooth power reference for the supercapacitor system. By incorporating the proposed power smoothing technique in the HMG, the stress on the interlinking converter (ILC) and utility grid are minimized and the power quality is enhanced. © 2021. All Rights Reserved.
Optimal Placement and Sizing of Electric Vehicle Charging Infrastructure in a Grid-Tied DC Microgrid Using Modified TLBO Method
(MDPI, 2023) Krishnamurthy, N.K.; Sabhahit, J.N.; Jadoun, V.K.; Gaonkar, D.N.; Shrivastava, A.; Rao, V.S.; Kudva, G.
In this work, a DC microgrid consists of a solar photovoltaic, wind power system and fuel cells as sources interlinked with the utility grid. The appropriate sizing and positioning of electric vehicle charging stations (EVCSs) and renewable energy sources (RESs) are concurrently determined to curtail the negative impact of their placement on the distribution network’s operational parameters. The charging station location problem is presented in a multi-objective context comprising voltage stability, reliability, the power loss (VRP) index and cost as objective functions. RES and EVCS location and capacity are chosen as the objective variables. The objective functions are tested on modified IEEE 33 and 123-bus radial distribution systems. The minimum value of cost obtained is USD 2.0250 × 106 for the proposed case. The minimum value of the VRP index is obtained by innovative scheme 6, i.e., 9.6985 and 17.34 on 33-bus and 123-bus test systems, respectively. The EVCSs on medium- and large-scale networks are optimally placed at bus numbers 2, 19, 20; 16, 43, and 107. There is a substantial rise in the voltage profile and a decline in the VRP index with RESs’ optimal placement at bus numbers 2, 18, 30; 60, 72, and 102. The location and size of an EVCS and RESs are optimized by the modified teaching-learning-based optimization (TLBO) technique, and the results show the effectiveness of RESs in reducing the VRP index using the proposed algorithm. © 2023 by the authors.