Balasundar C
@tce.edu
Assistant Professor, Department of EEE
Thiagarajar College of Engineering
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Ashok Kumar B, Gokul H, Balasundar C, and Senthilrani S
Elsevier BV
Sathish Babu P, Balasundar C, and Sundarabalan CK
Elsevier BV
Jayant Sharma, C.K. Sundarabalan, C. Balasundar, N.S. Srinath, and Josep M. Guerrero
Elsevier BV
Chelladurai Balasundar, Chinnayan Karuppaiyah Sundarabalan, Srinath Nangavaram Santhanam, Jayant Sharma, and Josep M. Guerrero
Institute of Electrical and Electronics Engineers (IEEE)
The growth of electric vehicle loads increases the harmonics in the distribution grid. This article proposes a mixed step size normalized least mean fourth control algorithm (MSSNLMF) of distribution static compensator to alleviate the harmonics in the electric vehicles connected distribution grid. The overall system comprises bidirectional ac–dc, dc–dc converters, and distribution static compensator. The bidirectional converters are employed to achieve the vehicle to grid and grid to vehicle operations. A lithium-ion battery is utilized as an electric vehicle energy storage device. An adaptive MSSNLMF control algorithm is proposed to extract active and reactive power signals from the distorted load current to obtain the reference source currents. This algorithm combines the least mean fourth and normalized least mean fourth algorithms with mixed step size. The performance of the control algorithm is evaluated in the MATLAB/Simulink environment. It is experimentally verified through the real time simulation using the dSPACE (DS1202) real-time processor. The proposed MSSNLMF algorithm performs well in the DSTATCOM dc-link voltage regulation and reduction of total harmonic distortion. The source current total harmonic distortion is maintained below the allowable limit of IEEE 519-2014 standard.
N.S. Srinath, C.K. Sundarabalan, Jayant Sharma, C. Balasundar, and V. Vijayakumar
Elsevier BV
Jayant Sharma, Chinnayan Karuppaiyah Sundarabalan, Chelladurai Balasundar, Srinath Nangavaram Santhanam, and Josep M. Guerrero
Institute of Electrical and Electronics Engineers (IEEE)
Jayant Sharma, C.K. Sundarabalan, R. Sitharthan, C. Balasundar, and N.S. Srinath
Elsevier BV
Balasundar C., Sundarabalan C. K., Jayant Sharma, Srinath N. S., and Josep M. Guerrero
Institute of Electrical and Electronics Engineers (IEEE)
A high-quality power supply is required for the proper functioning of the electric vehicle (EV) charging system. However, the voltage quality is one of the significant issues in the distribution grid. This article aims to examine the impacts of voltage disturbance on EV batteries and charging systems, and provides a fault ride-through capability (FRTC) to enhance the voltage quality. The charging system is constructed by the three-phase controlled rectifier and the dc–dc converter. The EV battery pack is modeled with lithium-ion batteries. The FRTC system is designed to improve the voltage quality, and it is achieved through the dynamic voltage restorer. It protects the EV batteries and charging system from the critical voltage sag levels. The performance of the proposed EV charging station (EVCS) has been investigated in 30%, 60%, and 90% voltage sag through the MATLAB/Simulink platform. Also, the real-time validation has been carried out by the software-in-the-loop test with the help of the dSPACE (DS1202) real-time system. The EVCS with an FRTC system provides better performance than the conventional EVCS.
P. Sathish Babu, C. K. Sundarabalan, and C. Balasundar
World Scientific Pub Co Pte Ltd
A novel optimal method of a Dynamic Voltage Restorer (DVR) supported by solid oxide fuel cell (SOFC) and its simplified topological structure are proposed. DVR is a power-electronic converter-based device, and the objective of the DVR control system is to minimize supply voltage variations at the load terminals. This is attained by generating a compensating voltage at the series injection transformer. Conventional controllers are mathematical model-based; also, the particular system varies widely, and nonlinear factors make the PI controller tuning more challenging to some extent. As a result, an intelligent PI optimization control method is essential. This paper proposes Hybrid PSOGSA to search for optimal values of two PI control parameters for the [Formula: see text]–[Formula: see text]-axis components by considering a novel bi-objective function. The performance of the test system is analyzed for five test scenarios using the proposed PI controller with SPSO-optimized and Ziegler–Nichols tuning methods. DVR system provides an excellent control performance in the transient and steady states for compensating the sensitive load voltages with almost zero steady-state errors. Simulation results show that the proposed approach can provide improved performance than PSO-optimized and classical PI controllers for the power quality indices measured.
Balasundar C, Sundarabalan CK, Srinath NS, Jayant Sharma, and Josep M. Guerrero
Institute of Electrical and Electronics Engineers (IEEE)
Energy storage systems in recent days are witnessing an increased trajectory of hybridization to decrease the burden on the single energy storage systems in renewable energy sources. The hybridization of energy storage imposes the need for an efficient power-sharing strategy. This article proposes the interval type2 fuzzy logic controller-based power-sharing strategy to utilize hybrid energy storages in the solar-powered charging station effectively. Under this study, the hybrid energy storage system consists of a battery and supercapacitor with solar power generation as a primary source. The battery supports the slow varying power and the supercapacitor supports the fast-varying power. Electric vehicles are connected as load and a multi-step constant current charging technique is proposed to charge its battery. In order to inject/absorb the power, the hybrid energy storage utilizes bidirectional DC-DC converters. The perturb and observe algorithm is used to track the maximum power from the solar panel. The proposed system is designed in MATLAB/Simulink platform and the real-time validation has been carried out through the dSPACE (DS1202) real-time processor. An obtained result demonstrates the performance of the interval type2 fuzzy logic controller-based power-sharing strategy under variable generation and load scenarios.
C. Balasundar, C.K. Sundarabalan, Jayant Sharma, N.S. Srinath, and Josep M. Guerrero
Elsevier BV
Balasundar Chelladurai, Chinnayan Karuppaiyah Sundarabalan, Srinath Nangavaram Santhanam, and Josep M. Guerrero
Institute of Electrical and Electronics Engineers (IEEE)
The deployment of electric vehicle charging stations degrades the quality of power in the distribution grid. This article proposes an interval type-2 fuzzy logic controlled shunt converter coupled novel high-quality charging scheme for electric vehicles. This system includes three-phase bidirectional front-end ac–dc pulsewidth modulation (PWM) converter, backend dc–dc PWM converter and three-phase three-wire distribution static compensator. The bidirectional converters help to perform both grid to vehicle and vehicle to grid mode of operations. The combination of dc-link voltage with decoupled current control technique is exploited for ac–dc converter. A multistep constant current control technique is proposed for the dc–dc converter to charge and discharge the battery. A fuzzy logic controller based instantaneous reactive power theory control method is proposed for shunt converter. The performance of type-1, interval type-2, and real coded genetic algorithm optimized fuzzy logic controllers are evaluated by the shunt converter dc-link voltage and the total harmonic distortion of the source current. Lithium-ion batteries are utilized as an energy storage device for electric vehicles in the proposed system. The entire system is modeled and evaluated in the MATLAB/Simulink environment. An interval type-2 and real coded genetic algorithm optimized fuzzy logic controller affords the better performance during V2G and G2V operations, respectively.
G. Soundarya, R. Sitharthan, C. K. Sundarabalan, C. Balasundar, D. Karthikaikannan, and Jayant Sharma
Institute of Electrical and Electronics Engineers (IEEE)
The increased demand and depletion of the fossil fuels for power generation led to the need for extracting power from the renewable energy resources (RERs). The microgrids (MGs) are designed with the help of effective power extracted from renewable sources such as solar, wind, tidal, and geothermal. The advent of DC MGs overcomes the conventional AC grids. The hybridization of the AC and DC MGs will provide more advantages for various levels of consumers. This article proposes the design and modeling of a hybrid DC/AC MG with the efficient use of RERs and it can reduce numerous power conversions. The solar energy is extracted through photovoltaic (PV) panels meritoriously using interval type 2 fuzzy logic technique as the maximum power point tracking algorithm. The AC grid is designed using wind energy source and tidal energy. The permanent magnet synchronous generator is used as the wind turbine. Various control mechanisms are employed in order to extract maximum power from the wind and tidal waves at varying conditions. These generated powers can supply the load and are connected to the utility grid. These are executed with the aid of MATLAB/SIMULINK software.
P. Sathish Babu, C.K. Sundarabalan, C. Balasundar, and T. Santhana Krishnan
Elsevier BV
Sathish Babu Pandu, C. K. Sundarabalan, N. S. Srinath, T. Santhana Krishnan, G. Soorya Priya, C. Balasundar, Jayant Sharma, G. Soundarya, Pierluigi Siano, and Hassan Haes Alhelou
Institute of Electrical and Electronics Engineers (IEEE)
In the current scenario, integration of renewables, growth of non-linear industrial and commercial loads results in various power quality issues. Among commercial utilities connected to the grid, hospital-operated loads include sensitive, linear, non-linear, and unbalanced loads. These loads are diverse as well as prioritized, which also causes major power quality issues in the local distribution system. Due to its widespread divergence, it leads to harmonic injection and reactive power imbalance. Distribution Static Compensator (DSTATCOM) is proposed as a solution for harmonic mitigation, load balancing, reactive power imbalances, and neutral current compensation. The present work utilizes Interval Type-2 Fuzzy Logic Controller (IT2FLC) with Recursive Least Square (RLS) filter for generating switching pulses for IGBT switches in the DSTATCOM to improve power quality in the Local Distribution Grid. The proposed approach also shows superior performance over Type 1 fuzzy logic controller and Conventional PI controller in mitigating harmonics. For effective realization, the proposed system is simulated using MATLAB software.
Soundarya G, , Jayant Sharma, Balasundar C, Sundarabalan CK, , , and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Electric vehicles in concern with its innumerable advantages, replaces the internal combustion engine vehicles (ICEV). The efficiency and performance of the Electric Vehicle (EV) depends mainly on the electric motor and its control technique. The Brushless DC (BLDC) Motor is used as the electric motor in the EV as it has high efficiency and high starting torque. The sensorless direct torque control technique is used to enhance the performance of the EV. The Adaptive Fuzzy PI (AFPI) Controller is the proposed controller in the EV. The comparison of reference torque and actual torque produce the error. It is applied to the AFPI controller which produces an output of reference torque. The EV with stationary reference frame theory of direct torque control with AFPI controller is simulated using MATLAB/SIMULINK.