@article{MuthampattySengottaiyan2024,

title = {Modular multilevel converter-based hybrid energy storage system for electric vehicles: Design, simulation, and performance evaluation},

author = {Saravanan Muthampatty Sengottaiyan and Surendiran Subramanian and Ravivarman Shanmugasundaram and Kamali Samudram Manickam},

doi = {10.1080/15567036.2024.2434199},

issn = {1556-7230},

year  = {2024},

date = {2024-12-31},

journal = {Energy Sources, Part A: Recovery, Utilization, and Environmental Effects},

volume = {46},

number = {1},

pages = {16777--16793},

publisher = {Informa UK Limited},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{karthick_optimizing_2024,

title = {Optimizing Electric Vehicle Battery Life: A Machine Learning Approach for Sustainable Transportation},

author = {K. Karthick and S. Ravivarman and R. Priyanka},

url = {https://www.mdpi.com/2032-6653/15/2/60},

doi = {10.3390/wevj15020060},

issn = {2032-6653},

year  = {2024},

date = {2024-02-01},

urldate = {2024-03-08},

journal = {World Electric Vehicle Journal},

volume = {15},

number = {2},

pages = {60},

abstract = {Electric vehicles (EVs) are becoming increasingly popular, due to their beneficial environmental effects and low operating costs. However, one of the main challenges with EVs is their short battery life. This study presents a comprehensive approach for predicting the Remaining Useful Life (RUL) of Nickel Manganese Cobalt-Lithium Cobalt Oxide (NMC-LCO) batteries. This research utilizes a dataset derived from the Hawaii Natural Energy Institute, encompassing 14 individual batteries subjected to over 1000 cycles under controlled conditions. A multi-step methodology is adopted, starting with data collection and preprocessing, followed by feature selection and outlier elimination. Machine learning models, including XGBoost, BaggingRegressor, LightGBM, CatBoost, and ExtraTreesRegressor, are employed to develop the RUL prediction model. Feature importance analysis aids in identifying critical parameters influencing battery health and lifespan. Statistical evaluations reveal no missing or duplicate data, and outlier removal enhances model accuracy. Notably, XGBoost emerged as the most effective algorithm, providing near-perfect predictions. This research underscores the significance of RUL prediction for enhancing battery lifecycle management, particularly in applications like electric vehicles, ensuring optimal resource utilization, cost efficiency, and environmental sustainability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Shanmugasundaram2024,

title = {Simulation of Hybrid Boost Converter with Reduced Switch Stress for PV Systems},

author = {Ravivarman Shanmugasundaram and P. Manojkumar and J. Sreedhar and M. Mallesh and Jayraj Chanv},

editor = {N. Nwulu and K. Natarajan and R. Shanmugasundaram and P.K. Balachandran and M. Krishnamoorthy and P. Mounica},

doi = {10.1051/e3sconf/202454702014},

issn = {2267-1242},

year  = {2024},

date = {2024-00-00},

journal = {E3S Web of Conf.},

volume = {547},

publisher = {EDP Sciences},

abstract = {Currently, there is a growing prominence on using switched capacitor and switched inductor techniques in high-power boost converters to achieve higher voltages. This is accomplished by employing reactive elements, where the inductor discharges while the capacitor charges. The switched capacitor and switched inductor can extremely attain dc voltage obtain with require few quantities like inductors, capacitors, diodes, and a switch. Modifications were made to the switched inductor converter, resulting in a reduction in the voltage stress on the active switch. The converter now operates based only on the duty ratio. This study suggests adjustments to the switched capacitor and switched inductor converter to decrease the stress on the switch by altering the duty ratio closer to unity. The paper covers the converter's operation, waveforms, design equations, and simulation results to illustrate this modified converter setup.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Shanmugasundaram2024b,

title = {Analysis and Simulation of Boost-Flyback Converter for Renewable Energy Integration},

author = {Ravivarman Shanmugasundaram and K. Sai Ramana and K. Akshay and K. Dilip and Hardik Dahiya},

editor = {N. Nwulu and K. Natarajan and R. Shanmugasundaram and P.K. Balachandran and M. Krishnamoorthy and P. Mounica},

doi = {10.1051/e3sconf/202454701017},

issn = {2267-1242},

year  = {2024},

date = {2024-00-00},

journal = {E3S Web of Conf.},

volume = {547},

publisher = {EDP Sciences},

abstract = {Analysis and Simulation of Boost-Flyback Converter for Renewable Energy Integration is mainly focusing on boosting and decreasing the voltages coming from the renewable energy sources. The proposed methodology combines the advantages of both Boost and Flyback topologies, providing enhanced efficiency, reduced voltage stress, and improved transient response. The Boost-Flyback Converter employs a two-stage topology, where the Boost stage is responsible for stepping up the input voltage, and the flyback stage facilitates energy transfer and output voltage regulation. The analysis includes a detailed examination of the converter's operating principles, voltage and current waveforms, and control strategies. A comprehensive simulation study is conducted using advanced simulation tools to validate the converter's performance under various operating conditions and load profiles.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{saravanan_sensor_2023,

title = {SENSOR FAILURE IDENTIFICATION AND SEGREGATION USING WAVELET PERFORMANCE ANALYSIS FOR WSN BASED STATUS SURVEILLANCE SYSTEM OF A WIND TURBINE},

author = {S. M. Saravanan and Jeyabharath Rajaiah and Ravivarman Shanmugasundaram and Jamuna Ponnusamy},

url = {https://journals.sfu.ca/ijietap/index.php/ijie/article/view/8917},

doi = {10.23055/ijietap.2023.30.3.8917},

issn = {1943-670X},

year  = {2023},

date = {2023-06-01},

urldate = {2024-02-12},

journal = {International Journal of Industrial Engineering: Theory, Applications and Practice},

volume = {30},

number = {3},

abstract = {One of the most useful renewable energy sources is wind, from which electrical power can be generated using a turbine system for long periods. The reliability of a wind turbine mainly depends on the maintenance work carried out at the site. The Status Surveillance System (SSS) is an important factor for wind turbines to guarantee uninterrupted power supply to the end user. However, the condition monitoring system based on the Wireless Sensor Node (WSN), housed with the current sensor node, is more vulnerable to failure due to circumstantial faults. Due to sensor faults, the data used for decision-making on maintenance are corrupted. This paper devises a robust and reliable mechanism called Sensor Failure Identification and Segregation (SFIS) to detect and detach corrupted data to effectively perform work related to wind turbine failure detection. The short-circuit fault is addressed by a wavelet transient approach to restore the corrupted data, while the invariable anomaly fault is analyzed with the help of the cross-correlation method. Hence, the interference fault can be analyzed using a dynamic time-warping approach. The proposed mechanism is compared with the existing Adaptive Neuro-Fuzzy Inference System (ANFIS) method that uses Supervisory Control and Data Acquisition (SCADA) to prove its reliability and robustness. SFIS offers a reliable and cost-effective solution for wind turbine maintenance work.},

note = {Number: 3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{manojkumar_automatic_2023,

title = {Automatic control systems experimentation with LabVIEW using local and remote approaches},

author = {P. Manojkumar and Ravivarman Shanmugasundaram and N. Rajasekaran and R. Rinish and Muhammed U. Hassan and S. Sreekanth},

url = {https://doi.org/10.1063/5.0113979},

doi = {10.1063/5.0113979},

issn = {0094-243X},

year  = {2023},

date = {2023-05-01},

urldate = {2024-02-12},

journal = {AIP Conference Proceedings},

volume = {2492},

number = {1},

pages = {050039},

abstract = {In this paper the idea of virtual instrument and its legitimacy against traditional instrument will be presented. Here we will utilize the graphical programming idea of National Instrument's Lab VIEW. In this paper we will present the idea of a temperature control framework which is a PC-based virtual instrument application. Accepting these musings as standards, a temperature control framework will be planned utilizing Lab view dataflow visual programming language and climate to understand the information of the temperature of the articles. The last examination included the improvement of a relative fundamental subordinate (PID) wind speed control framework for a little subsonic air stream. Notwithstanding the course, understudies and analysts can get to the air stream speed control framework through the Internet to explore the impacts of various addition settings on the PID air stream control framework.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kanagarathinam_impact_2023,

title = {Impact of Stator Slot Shape on Cogging Torque of BLDC Motor},

author = {Karthick Kanagarathinam and R. Manikandan and Ravivarman S},

url = {https://ijeer.forexjournal.co.in/archive/volume-11/ijeer-110108.html},

doi = {10.37391/ijeer.110108},

issn = {2347-470X},

year  = {2023},

date = {2023-03-01},

urldate = {2024-02-12},

journal = {International Journal of Electrical and Electronics Research},

volume = {11},

number = {1},

pages = {54–60},

abstract = {Brushless DC (BLDC) motors have a wide range of applications in these modern days, such as electric vehicles, industrial robots, washing machines, pumps, and blowers. The brushless DC motors have many advantages when compared to induction motors and conventional DC motors, such as better speed control, noiseless operation, high efficiency, less maintenance, and a long life. Along with these benefits, there is one major disadvantage known as cogging, which causes undesirable effects in the motor such as noises and vibrations. BLDC motors have been widely used in automation and industrial applications due to their attractive features. There are certain parameters to be considered while designing a BLDC motor, such as its dimensions, number of windings turns, type of magnetic materials used, required torque, output current, slot-to-depth ratio, efficiency, temperature rise, etc.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kanagarathinam_enhancing_2023,

title = {Enhancing Sustainable Urban Energy Management through Short-Term Wind Power Forecasting Using LSTM Neural Network},

author = {Karthick Kanagarathinam and S. K. Aruna and S. Ravivarman and Mejdl Safran and Sultan Alfarhood and Waleed Alrajhi},

url = {https://www.mdpi.com/2071-1050/15/18/13424},

doi = {10.3390/su151813424},

issn = {2071-1050},

year  = {2023},

date = {2023-01-01},

urldate = {2024-02-12},

journal = {Sustainability},

volume = {15},

number = {18},

pages = {13424},

abstract = {Integrating wind energy forecasting into urban city energy management systems offers significant potential for optimizing energy usage, reducing the carbon footprint, and improving overall energy efficiency. This article focuses on developing a wind power forecasting model using cutting-edge technologies to enhance urban city energy management systems. To effectively manage wind energy availability, a strategy is proposed to curtail energy consumption during periods of low wind energy availability and boost consumption during periods of high wind energy availability. For this purpose, an LSTM-based model is employed to forecast short-term wind power, leveraging a publicly available dataset. The LSTM model is trained with 27,310 instances and 10 wind energy system attributes, which were selected using the Pearson correlation feature selection method to identify crucial features. The evaluation of the LSTM-based forecasting model yields an impressive R2 score of 0.9107. The model’s performance metrics attest to its high accuracy, explaining a substantial proportion of the variance in the test data. This study not only contributes to advancing wind power forecasting, but also holds promise for sustainable urban energy management, enabling cities to make informed decisions in optimizing energy consumption and promoting a greener, more resilient future.},

note = {Number: 18 

Publisher: Multidisciplinary Digital Publishing Institute},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{palanisamy_level_2023,

title = {A Level Shifted Pulse Width Modulated Multilevel Inverter Fault Analysis Technique},

author = {Manojkumar Palanisamy and Jeyasudha Segaran and Ravivarman Shanmugasundaram and Sengolrajan Thanasingh},

url = {https://doi.org/10.1080/15325008.2023.2246468},

doi = {10.1080/15325008.2023.2246468},

issn = {1532-5008},

year  = {2023},

date = {2023-01-01},

urldate = {2024-02-12},

journal = {Electric Power Components and Systems},

volume = {0},

number = {0},

pages = {1–12},

abstract = {Multiple-level inverters are often used in extreme voltages and high-energy applications because of their excellent efficiency lately. Because of the considerable quantity of semiconductor switches involved in powers conversion, multilevel inverters (MLIs) are more likely to experience switch faults. Therefore, it is essential to find and discover defects as soon as possible. In this context, a technique depending on the level-shifted pulse width modulations (PWM) methodology is developed for diagnosing open-circuits errors in H-bridges multiple-level inverters (HMLI). Instead of utilizing an algorithm to detect faults, the proposed method uses subtle fault features and only requires a little amount of logical judgment. The loads current and H-bridges outputs voltages are utilized to diagnose faults.},

note = {Publisher: Taylor & Francis 

_eprint: https://doi.org/10.1080/15325008.2023.2246468},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{devarakonda_comparative_2022,

title = {A Comparative Analysis of Maximum Power Point Techniques for Solar Photovoltaic Systems},

author = {Ashwin Devarakonda and Natarajan Karuppiah and Tamilselvi Selvaraj and Praveen Balachandran and Ravivarman Shanmugasundaram and Tomonobu Senjyu},

url = {https://www.mdpi.com/1996-1073/15/22/8776},

doi = {10.3390/en15228776},

issn = {1996-1073},

year  = {2022},

date = {2022-11-01},

urldate = {2024-02-12},

journal = {Energies},

volume = {15},

number = {22},

pages = {8776},

abstract = {The characteristics of a PV (photovoltaic) module is non-linear and vary with nature. The tracking of maximum power point (MPP) at various atmospheric conditions is essential for the reliable operation of solar-integrated power generation units. This paper compares the most widely used maximum power point tracking (MPPT) techniques such as the perturb and observe method (P&O), incremental conductance method (INC), fuzzy logic controller method (FLC), neural network (NN) model, and adaptive neuro-fuzzy inference system method (ANFIS) with the modern approach of the hybrid method (neural network + P&O) for PV systems. The hybrid method combines the strength of the neural network and P&O in a single framework. The PV system is composed of a PV panel, converter, MPPT unit, and load modelled using MATLAB/Simulink. These methods differ in their characteristics such as convergence speed, ease of implementation, sensors used, cost, and range of efficiencies. Based on all these, performances are evaluated. In this analysis, the drawbacks of the methods are studied, and wastage of the panel’s available output energy is observed. The hybrid technique concedes a spontaneous recovery during dynamic changes in environmental conditions. The simulation results illustrate the improvements obtained by the hybrid method in comparison to other techniques.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Survey on Wireless Power Transfer System},

author = {K. Karthick; S. Ravivarman},

url = {https://iaraedu.com/about-journal/ijair-volume-9-issue-3-i-july-september-2022.php},

issn = {2394-7780},

year  = {2022},

date = {2022-07-28},

journal = {International Journal of Advance and Innovative Research},

volume = {9},

issue = {3(I)},

pages = {331-336},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{karthick_analysis_2021,

title = {Analysis of the Impact of Magnetic Materials on Cogging Torque in Brushless DC Motor},

author = {K. Karthick and S. Ravivarman and Ravi Samikannu and K. Vinoth and Bashyam Sasikumar},

editor = {V. Vijayan},

url = {https://www.hindawi.com/journals/amse/2021/5954967/},

doi = {10.1155/2021/5954967},

issn = {1687-8442, 1687-8434},

year  = {2021},

date = {2021-12-01},

urldate = {2024-02-12},

journal = {Advances in Materials Science and Engineering},

volume = {2021},

pages = {1–10},

abstract = {The cogging torque is the most significant issue in permanent magnet applications, since it has a negative impact on machine performance. In this article, the impact of magnetic materials on cogging torque is analyzed on brushless DC motors (BLDC). The effect of neodymium magnets (NdFeB), compression molded magnet, and samarium cobalt (SmCo) magnet on the cogging torque is analyzed to the BLDC motor designed for hybrid electric vehicle traction that has the peak power rating of 50 kW motor with 48 stator slots and 8 rotor poles. With the presence of these three magnetic materials, the cogging torque is estimated independently using multiposition simulation. The multiposition is simulated using a transient application that runs at constant speed. The results of cogging torque, rotational speed, angular position of BLDC motor, and magnetic flux density distribution have been presented. Also, the maximal, mean, minimal, rectified mean, and rms values of cogging torque were provided.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{prathap_design_2021,

title = {Design of Modified Counter based PWM generator for closed-loop DC-DC Voltage Regulation},

author = {Joseph Anthony Prathap and Ravivarman Shanmugasundaram and M. Kranthi Kiran Reddy and K. Harika},

url = {https://iopscience.iop.org/article/10.1088/1742-6596/1818/1/012227},

doi = {10.1088/1742-6596/1818/1/012227},

issn = {1742-6588, 1742-6596},

year  = {2021},

date = {2021-03-01},

urldate = {2024-02-12},

journal = {Journal of Physics: Conference Series},

volume = {1818},

number = {1},

pages = {012227},

abstract = {Abstract 

 This paper proposes the design of a novel Modified Counter based Digital Pulse Width Modulation generator to analyze the performance of the closed-loop DC-DC buck converter. The closed-loop DC-DC buck Converter uses the Proportional Integral controller to regularize the output voltage and the bio-inspired algorithms namely Particle Swarm Optimization and Ant Colony Optimization are considered for the generation of the optimal values for the PI gains namely KP and KI. Conventionally, the switching of the buck converter is controlled by the PWM signals that exhibit complexity in design. The updated Digital Pulse Width Modulation techniques were suitable for voltage regulation at the cost of high clock frequency requirement, increase in the design area for real implementation, and the trade-off between the switching frequency and the component size of the buck converter. To overcome these, the modified Counter based Digital Pulse width modulation that generates the high switching frequency DPWM is developed in HDL. Then the proposed technique is validated in the closed-loop PI-based DC-DC buck converter using the System Generator MATLAB SIMULINK. To regularize the voltage output, the PI controller is included along with the optimization algorithms such as Particle Swarm Optimization and Ant Colony Optimization to optimize the PI gains. The time transient analysis of the proposed method exhibits improvement in the ACO based design compared to the PSO based method. The power and area are manipulated by using the Cadence and Xilinx tools},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{logeswaran_analysis_2021,

title = {Analysis on impact of ‘switching off light’ event on indian grid frequency},

author = {Dr. T. Logeswaran and N. Loganathan and Dr. S. Senthil Kumar and Dr. R. Uthirasamy and Ravivarman Shanmugasundaram},

url = {https://iopscience.iop.org/article/10.1088/1757-899X/1091/1/012066},

doi = {10.1088/1757-899X/1091/1/012066},

issn = {1757-8981, 1757-899X},

year  = {2021},

date = {2021-02-01},

urldate = {2021-02-01},

journal = {IOP Conference Series: Materials Science and Engineering},

volume = {1091},

number = {1},

pages = {012066},

abstract = {Abstract 

 Electricity places a vital role in the development of economy of a country. Electrical power grids are the most complex of all human engineered systems. This paper presents the progress made in the energy grid and outlines the power scenario in India. It reports the impact created by the event “Switching off lights” on grid frequency. Role of POSOCO in the management of the event has been vividly described. The paper provides us the most important input for prioritizing measures or steps to be taken to cope up with the situation and possible action plan have been summarized.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rajagopal_reddy_case_2021,

title = {A Case Study on the Assessment of Program Quality through CO-PO Mapping and its Attainment},

author = {B. Rajagopal Reddy and Natarajan Karuppiah and Md. Asif and S. Ravivarman},

url = {https://sciresol.s3.us-east-2.amazonaws.com/srs-j/jeet/pdf/volume34/specialissue/JEET579.pdf},

doi = {10.16920/jeet/2021/v34i0/157114},

issn = {2394-1707, 2349-2473},

year  = {2021},

date = {2021-01-01},

urldate = {2024-02-12},

journal = {Journal of Engineering Education Transformations},

volume = {34},

number = {0},

pages = {104},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A High Step-Up Quadratic Boost Converter Integrated with Voltage Multiplier},

author = {Ravivarman Shanmugasundaram; Jeyabharath Rajaiah; Veena Parasunath},

url = {http://jee.ro/covers/editions.php?act=art&art=WI1460364072W570b632851e4d},

issn = {1582-4594},

year  = {2019},

date = {2019-08-22},

urldate = {2019-08-22},

journal = {Journal of Electrical Engineering},

volume = {19},

issue = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ravivarman_non-isolated_2019,

title = {Non-isolated Modified Quadratic Boost Converter with Midpoint Output for Solar Photovoltaic Applications},

author = {Shanmugasundaram Ravivarman and Karuppiah Natarajan and Reddy B Raja Gopal},

editor = {S. K. Tummala and P. B. Bobba},

url = {https://www.e3s-conferences.org/10.1051/e3sconf/20198701025},

doi = {10.1051/e3sconf/20198701025},

issn = {2267-1242},

year  = {2019},

date = {2019-01-01},

urldate = {2024-02-12},

journal = {E3S Web of Conferences},

volume = {87},

pages = {01025},

abstract = {This paper presents a boost DC-DC converter topology with non - isolated high gain and output midpoint, to boost the voltage obtained from solar photovoltaic panels. The three-level boost converter is coupled to the output port of the single-switch quadratic boost converter to derive the proposed converter topology. The voltage gain of the proposed converter is greater than that of the classical boost converter. The voltage stress on the switches of the proposed converter is equal to half of the converter output voltage. Static analysis, operating modes, experimental waveforms in continuous current conduction and discontinuous current conduction modes are shown. A 520 W prototype converter was implemented in the laboratory and its results are presented.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{karuppiah_wastage_2018,

title = {Wastage Pay Smart Bin},

author = {N. Karuppiah and S. Senthil Kumar and S. Ravivarman and P. Joel Joshuva and A. Prabhu and R. Arun Kumar},

url = {https://www.sciencepubco.com/index.php/ijet/article/view/20461},

doi = {10.14419/ijet.v7i4.6.20461},

issn = {2227-524X},

year  = {2018},

date = {2018-09-01},

urldate = {2024-02-12},

journal = {International Journal of Engineering & Technology},

volume = {7},

number = {4.6},

pages = {193},

abstract = {The separation of waste materials into degradable and non-degradable waste is one of the major issues in our country. As the plastic materials cause major harm to the humans as well as the environment it should be separated and effectively recycled. The non-degradable plastic wastes do not allow the rain water to pass through it thereby decreasing the ground water level. If these wastes are burnt, it emits carbon monoxide which is harmful to the humans. Our project is to encourage the people to dump and segregate the waste materials in their households using smart bins. The separation of the plastic waste is done by using capacitive type proximity sensor and ultrasonic sensor. In order to encourage the people to collect and segregate the waste materials, in large amount, they are rewarded for the amount of waste that they collect and segregate. The amount of waste collected is displayed in the website and in their mobile phones with the amount of reward points earned. The customers redeem their reward points in the shops mentioned in the website.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{karuppiah_enhancing_2018,

title = {Enhancing the performance of Transmission Lines by FACTS Devices using GSA and BFOA Algorithms},

author = {N. Karuppiah and S. Muthubalaji and S. Ravivarman and Md. Asif and Abhishek Mandal},

url = {https://www.sciencepubco.com/index.php/ijet/article/view/20463},

doi = {10.14419/ijet.v7i4.6.20463},

issn = {2227-524X},

year  = {2018},

date = {2018-09-01},

urldate = {2024-02-12},

journal = {International Journal of Engineering & Technology},

volume = {7},

number = {4.6},

pages = {203},

abstract = {Flexible Alternating Current Transmission System devices have numerous applications in electrical transmission lines like improvement of voltage stability, reactive power compensation, congestion management, Available Transfer Capacity enhancement, real power loss reduction, voltage profile improvement and much more. The effectiveness of these FACTS devices is enhanced by the placement of these devices in the transmission lines. The placement is based on transmission line sensitivity factors such as Bus voltage stability index and line voltage stability index. This research article focuses on optimizing the location, number and ratings of FACTS devices using Evolutionary Algorithms like Bacterial Foraging Algorithm and Gravitational search algorithm. FACTS devices such as Static Var Compensator, Thyristor Controlled Series Capacitor and Unified Power Flow Controller are placed on IEEE 14 bus and IEEE 30 bus systems for reducing the real power loss in the transmission system. The results show that the performance of the transmission lines is enhanced more using Bacterial Foraging Algorithm than Gravitational Search Algorithm.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{k_performance_2018,

title = {Performance study of MATLAB modelled PV panel and conventional PV panel interfaced with LabVIEW},

author = {Jaiganesh K and Karuppiah N and Ravivarman S and Md Asif},

url = {https://www.sciencepubco.com/index.php/ijet/article/view/11561},

doi = {10.14419/ijet.v7i2.17.11561},

issn = {2227-524X},

year  = {2018},

date = {2018-04-01},

urldate = {2024-02-12},

journal = {International Journal of Engineering & Technology},

volume = {7},

number = {2.17},

pages = {70},

abstract = {The maximum electrical energy conversion efficiency of the Solar PV panel is up to 22% in normal conventional roof- top system under the temperature of 25˚C on Standard Test Condition (STC). In Indian climatic conditions, the atmospheric temperature is mostly above 35˚C to 45˚C, it incites 35˚C to 80˚C temperature on the PV panel. The black body of the PV panel absorbs more heat. This temperature affects the electrical efficiency of the panel significantly. This paper proposes the mathematical modelling of the solar PV panel for different solar irradiation and the temperature. The experimental evaluation is conducted in the latitude of 11.36 (N) and longitude 77.82 (E). The testing and monitoring was done with LabVIEW based National Instruments hardware such as NI cDAQ-9178, NI DAQ - 9227 and NI DAQ 9225. The comparative study between the simulated result and real time hardware results are discussed in this paper. The test result shows that the output of the proposed model mismatches with the experimental output of the solar PV panel due to the negative correlation between the efficiency and temperature for variable irradiation condition. It shows a power difference of 9.41W between the output of the proposed model and the experimental setup.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A High Step-Up Hybrid DC-DC Converter with Reduced Voltage Stress for Renewable Energy Applications},

author = {S. Ravivarman; R. Jeyabharath; P. Veena},

url = {https://www.idosi.org/wasj/wasj34(7)16/3.pdf},

issn = {1818-4952},

year  = {2016},

date = {2016-07-15},

journal = {World Applied Sciences Journal},

volume = {34},

issue = {7},

pages = {871-877},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A High Step-up Boost Converter Integrated with Voltage Multiplier Cell},

author = {S. Ravivarman; R. Jeyabharath; P. Veena},

url = {http://ijiet.com/wp-content/uploads/2016/07/91.pdf},

issn = {2319-1058},

year  = {2016},

date = {2016-06-16},

urldate = {2016-06-16},

journal = {International Journal of Innovations in Engineering and Technology},

volume = {7},

issue = {1},

pages = {626-632},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A solution to balance the voltage of dc link capacitor using boost converter in diode clamped multilevel inverter},

author = {M. Ranjitha; S. Ravivarman},

issn = {2454-9614},

year  = {2016},

date = {2016-06-16},

journal = {South Asian Journal of Engineering and Technology},

volume = {2},

number = {16},

pages = {183-191},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Shanmugasundaram2016,

title = {Analysis and Design of Single Switch Hybrid Step-Up Converter},

author = {Ravivarman Shanmugasundaram and Jeyabharath Rajaiah and Veena Parasunath},

doi = {10.4236/cs.2016.74020},

issn = {2153-1293},

year  = {2016},

date = {2016-00-00},

journal = {CS},

volume = {07},

number = {04},

pages = {211--221},

publisher = {Scientific Research Publishing, Inc.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ranjitha_review_2015,

title = {A Review on Voltage Balancing Solutions in Multilevel Inverters},

author = {M. Ranjitha and S. Ravivarman},

url = {http://www.iaescore.com/journals/index.php/IJEECS/article/view/180},

doi = {10.11591/ijeecs.v1.i1.pp53-59},

issn = {2502-4760, 2502-4752},

year  = {2015},

date = {2015-11-01},

urldate = {2024-02-12},

journal = {Indonesian Journal of Electrical Engineering and Computer Science},

volume = {1},

number = {1},

pages = {53},

abstract = {<p>Multilevel inverters are used in high power and medium voltage applications. Employing multilevel inverter with renewable energy alone, the voltage balance cannot be made because the number of level increases in multilevel inverter the control gets complexity. So voltage imbalance problems are introduced. The voltage imbalance problems can be classified into two types; Midpoint unbalance and the central capacitor discharge. These problems can be solved by using voltage balancing solutions. The solutions are hardware based; software based, and combined solutions. By using these types of solutions the voltage balancing problems can be solved and the efficiency of multilevel inverter could be high. This paper reviews about various voltage balancing solutions in multilevel inverter.<strong></strong></p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Voltage balance implementing multilevel inverter in renewable energy system},

author = {M. Ranjitha; S. Ravivarman},

issn = {0973-4562},

year  = {2015},

date = {2015-10-16},

journal = {International journal of Applied Engineering research},

volume = {10},

issue = {20},

pages = {20033-20037},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {GRID POWER INJECTION WITH MAXIMUM POWER POINT TRACKING USING ENHANCED SEPIC CONVERTER AND THREE PHASE INVERTER},

author = {T. Samydurai; S. Ravivarman},

url = {https://www.ripublication.com/Volume/ijaerv10n9spl.htm},

issn = {0973-4562},

year  = {2015},

date = {2015-10-09},

journal = {International Journal of Applied Engineering Research},

volume = {10},

issue = {9},

pages = {7536-7541},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{varman2015,

title = {Optimized Grid Power Injection with Maximum Power Point Tracking Using Cascaded SEPIC Converter and Three Phase Inverter},

author = {S.Ravi varman and T.Samy durai},

doi = {10.15662/ijareeie.2015.0401033},

issn = {2278-8875},

year  = {2015},

date = {2015-01-30},

journal = {IJAREEIE},

volume = {04},

number = {01},

pages = {222--230},

publisher = {Ess & Ess Research Publications},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{K2014,

title = {High Step up Switched Capacitor Inductor DC-DC Converter for UPS System with Renewable Energy Source},

author = {Maheshkumar. K and S. Ravivarman},

doi = {10.12720/ijeee.3.2.89-94},

issn = {2301-380X},

year  = {2014},

date = {2014-00-00},

journal = {IJEEE},

volume = {3},

number = {2},

publisher = {EJournal Publishing},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{r_z_2012,

title = {Z Source Inverter for Photovoltaic System with Fuzzy Logic Controller},

author = {Vijayabalan R and S. Ravivarman},

url = {http://iaesjournal.com/online/index.php/IJPEDS/article/view/335},

doi = {10.11591/ijpeds.v2i4.335},

issn = {2088-8694, 2088-8694},

year  = {2012},

date = {2012-12-01},

urldate = {2024-02-12},

journal = {International Journal of Power Electronics and Drive Systems (IJPEDS)},

volume = {2},

number = {4},

pages = {371–379},

keywords = {},

pubstate = {published},

tppubtype = {article}

}