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X-WR-CALNAME:SRMAP Events
X-ORIGINAL-URL:https://events.srmap.edu.in
X-WR-CALDESC:Events for SRMAP Events
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BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250120T000000
DTEND;TZID=Asia/Kolkata:20250122T000000
DTSTAMP:20260422T020935
CREATED:20250526T073626Z
LAST-MODIFIED:20250526T073626Z
UID:141253-1737331200-1737504000@events.srmap.edu.in
SUMMARY:Solar-Powered VSI Speed Control of PMSM with Performance Analysis & Controller Optimization
DESCRIPTION:Abstract: This study examines the integration of permanent magnet synchronous motors (PMSM) with renewable energy sources\, focusing on solar photovoltaic (SPV) arrays to improve efficiency and sustainability in electric vehicle (EV) applications. PMSM\, renowned for its high efficiency\, silent operation\, and precise control\, is managed using a proportional-integral (PI) controller to handle variable load conditions\, including fluctuations in torque and current. By fine-tuning the PI controller’s gains\, the desired motor speed is achieved efficiently. A DC-DC Buck-Boost converter serves as an intermediary power conditioning unit\, optimizing energy extraction from the SPV array and enhancing system efficiency. This setup ensures that PMSM meets the power and operational demands of EVs. Additionally\, a voltage source inverter (VSI) facilitates electronic commutation of the PMSM\, providing accurate control using fundamental frequency pulses. The system is modeled and simulated in MATLAB/Simulink\, demonstrating its reliability under diverse load conditions. The findings underscore the potential of this approach in promoting renewable energy integration in EVs\, paving the way for cleaner and more sustainable transportation solutions.Venue: NIT RaipurInstitute:  NIT Raipur
URL:https://events.srmap.edu.in/event/solar-powered-vsi-speed-control-of-pmsm-with-performance-analysis-controller-optimization/
CATEGORIES:Events
ATTACH;FMTTYPE=image/png:https://events.srmap.edu.in/wp-content/uploads/2025/02/jawahar-sagar.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250120T000000
DTEND;TZID=Asia/Kolkata:20250122T000000
DTSTAMP:20260422T020935
CREATED:20250526T073627Z
LAST-MODIFIED:20250526T073627Z
UID:141254-1737331200-1737504000@events.srmap.edu.in
SUMMARY:Bi-LSTM-based electrical load prediction model for a microgrid community area of Panama City
DESCRIPTION:Abstract: Accurate prediction of electricity consumption is essential for the efficient functioning of power grids and the successful administration of energy markets in the field of energy planning. There are several benefits such as system efficiency\, dependability\, safety\, and stability with the proper forecasting of load demand. To ensure the proper operation of the microgrid energy management system\, it is essential to predict the overall load demand with precision and consistency. A bidirectional long short-term memory network (Bi-LSTM) model is considered in this paper for the electrical load forecasting of microgrids. The proposed model is verified by using the standard available load forecasting data set of Panama City. Furthermore\, the approach is compared with LSTM load forecasting method. The various performance metrics such as MAE\, RAE\, RSE\, R2\, RMSE\, and NRMSE are employed in this paper to evaluate the accuracy of the proposed prediction model. In this work\, the Bi-LSTM method got the better error reduction values of 17.8% in MAE\, 1.70% in RMSE\, 2.37% in NRMSE\, 3.5% in RSE\, 19% in RAE and 1.2% improvement in R2 when compared to the LSTM model. The proposed load prediction model is helpful in estimating the future power shortages of the microgrid community which leads to improve the system efficiency and reliability.\nVenue: Raipur\nInstitute: National Institute of Technology Raipur
URL:https://events.srmap.edu.in/event/bi-lstm-based-electrical-load-prediction-model-for-a-microgrid-community-area-of-panama-city/
CATEGORIES:Events
ATTACH;FMTTYPE=image/png:https://events.srmap.edu.in/wp-content/uploads/2025/02/kamireddy.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250120T000000
DTEND;TZID=Asia/Kolkata:20250122T000000
DTSTAMP:20260422T020935
CREATED:20250526T073627Z
LAST-MODIFIED:20250526T073627Z
UID:141255-1737331200-1737504000@events.srmap.edu.in
SUMMARY:Customized Inverter configuration for multiple Pole-Pair Stator winding Induction motor drive with reduced DC Bus Voltage
DESCRIPTION:Abstract: In this paper\, A new customized multi-level inverter (MLI) configuration is proposed for induction motor drive\, aiming to lower the requirement of DC bus voltage magnitude. This method utilizes pole pair winding coils separately to generate multi-level voltage waveform across the total stator phase windings. As the inverter requires lower input voltage it eliminates the requirement of boost converters when it is used in the EV applications. The inherent advantages of this topology significantly reduce control complexity in the battery systems by reducing the number of series-connected battery cells. The conventional Level-Shifted Sine Triangle PWM technique proficiently shifts low frequency harmonics to the carrier frequency\, enhancing power quality and minimizing electromagnetic interference. Through MATLAB simulation\, this new customized multi-level inverter-fed open-end stator winding Induction motor is simulated and results are presented to validate the proposed concept. Ultimately\, our research aims to contribute to advancing electric vehicle technology by operating the induction motor with minimal input DC source voltage\, and substantial output gain.\nVenue: NIT Raipur\, G.E Road\, Amanaka\, Raipur\, Chhattisgarh\, India\nInstitute: National Institute of Technology Raipur
URL:https://events.srmap.edu.in/event/customized-inverter-configuration-for-multiple-pole-pair-stator-winding-induction-motor-drive-with-reduced-dc-bus-voltage/
CATEGORIES:Events
ATTACH;FMTTYPE=image/png:https://events.srmap.edu.in/wp-content/uploads/2025/02/manikanta.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250120T000000
DTEND;TZID=Asia/Kolkata:20250122T000000
DTSTAMP:20260422T020935
CREATED:20250526T073628Z
LAST-MODIFIED:20250526T073628Z
UID:141256-1737331200-1737504000@events.srmap.edu.in
SUMMARY:Non-isolated High-Gain DC-DC Converter with Moderate Gain for Hybrid Energy System Applications on DC Microgrids
DESCRIPTION:Abstract: A novel non-isolated High-Gain DC-DC Converter with Moderate Gain for Hybrid Energy.\nVenue: Online (SRM AP)\nInstitute: NIT Raipur
URL:https://events.srmap.edu.in/event/non-isolated-high-gain-dc-dc-converter-with-moderate-gain-for-hybrid-energy-system-applications-on-dc-microgrids/
CATEGORIES:Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250120T000000
DTEND;TZID=Asia/Kolkata:20250122T000000
DTSTAMP:20260422T020935
CREATED:20250526T073628Z
LAST-MODIFIED:20250526T073628Z
UID:141257-1737331200-1737504000@events.srmap.edu.in
SUMMARY:Design and Analysis of DC-DC Boost Converter Using Model Predictive Controller
DESCRIPTION:Abstract: A boost converter is a type of device used to convert direct current (DC) from one voltage level to another. It operates by increasing the input voltage to a higher output voltage level. DC-DC converters are utilised in a wide range of applications. The primary application of boost converters is to establish an interface with renewable energy sources. This paper presents a comparative analysis of two controllers\, namely the Proportional Integral controller and Model Predictive Control (MPC)\, for practical applications of the Boost converter. The boost converter is designed and simulated in the MATLAB/SIMULINK environment for this study. The performance of the MPC con troller is found to be superior when compared to the PI controller. The effectiveness of the proposed control scheme is validated through the utilisation of OPAL-RT.\nVenue: NIT Raipur\nInstitute: NIT Raipur
URL:https://events.srmap.edu.in/event/design-and-analysis-of-dc-dc-boost-converter-using-model-predictive-controller/
CATEGORIES:Events
END:VEVENT
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