Performance Evaluation of Different Multilevel Inverter Topologies in Renewable Energy Applications Anusha Rathi, C S Rajeshwari, Anjali Potnis, Anurag S D Rai Proceedings of the 9th International Conference on Electronics Communication and Aerospace Technology Iceca 2025, 2025 In the current generation renewable energy play a strategic role in energy management for developing countries. The demand of energy in worldwide increase indomitable renewable energy provide sustainable solution for it. In the research article proposed the performance analysis of different multi level inverter (MLI). For the improvement of performance of different renewable energy sector such as solar PV systems, wind generators, and fuel cells, required the improvement performance of MLI. As we all know that there are different type of MLI available with different topologies such as diode-clamped, flying capacitor, and cascaded H-bridge. MLI performance depends of the different parameters THD, Switching Losses. Voltage Balancing, Power Density, Modularity, Voltage Stress and Common Mode Voltage. In this research work compare the different MLI inverters on the basis of these parameters also discuss the comparison of different research work presented for MLI performance improvement. The study aims to identify robust MLI configurations for robust, scalable, and intelligent renewable energy conversion systems.
A Comprehensive Analysis of Multilevel Inverter Topologies for Renewable Energy Applications Anusha Rathi, Anjali Potnis, C S Rajeshwari, Anurag S D Rai Proceedings of the 9th International Conference on Electronics Communication and Aerospace Technology Iceca 2025, 2025 The global shift toward sustainable and clean energy has accelerated the incorporation of sustainable energy sources like solar PV systems, wind generators, and fuel cells into the electricity network. These sources typically produce fluctuating and low-voltage direct current (DC), which necessitates efficient DC-AC conversion for grid compatibility. Multilevel inverters (MLIs) becomes as key contributor in this area of renewable energy applications, due to overcome the problem of total harmonic distortion (THD) and improved output voltage quality. The proposed research article demonstrate the comprehensive review of classical MLI topologies together with diode-clamped (NPC), flying capacitor (FC), and cascaded H-bridge (CHB). Also discuss the evaluates modulation techniques such as PWM, selective harmonic elimination (SHE), and hybrid strategies in terms of THD decrease. In the last decade the renewable energy is an emerging area in between researcher. The study aims to identify optimal MLI configurations for robust, scalable, and intelligent renewable energy conversion systems.
Design and Control of Bidirectional Converter for EV Application Sweta Manjare, Saurabh Saraf, C. Rajeshwari 2023 IEEE Renewable Energy and Sustainable E Mobility Conference Resem 2023, 2023 Bi-directional converters are a class of power electronics converter that allows power flow in both directions. Bidirectional DC-DC converters are useful for switching between energy storage and motor in electric vehicles. Bidirectional DC to DC converters are classified as non-isolated and isolated DC to DC converters. The non-isolated configuration is deployed in electric vehicle for battery – motor interface whereas the isolated configuration is preferred for EV charging systems. The latest electric vehicles come with feature of regenerative breaking which optimizes battery usage. To incorporate such features which require electric power flow in both directions i.e., from source to load and from load to source, a bidirectional converter with special features is essential. This paper discusses design, operation, and implementation of configurable bidirectional DC to DC Converter used in Electric Vehicles along with hardware and simulation results.
A novel approach to optimize bidding strategy for restructured power market using game theory Anoop Arya, Shilpi Sisodia, Shweta Mehroliya, C.S. Rajeshwari Proceedings 2020 IEEE International Symposium on Sustainable Energy Signal Processing and Cyber Security Isssc 2020, 2020 This paper presents an application of game theory in which analysis of power transaction in a deregulated electricity market takes place, where participants i.e., generating entities maximize profit through optimal bidding strategies. The optimal bidding strategies are estimated through optimization technique. Profits of entities are optimized with their respective updated strategy. The new proposed methodology is implemented on the 30-bus IEEE test system using MATLAB programming; in which non-cooperative market and competitions, while GENCOs optimal bidding strategies are calculated. This new proposed methodology will show numerical results that has an impressive impact GENCO’s profit
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