C S RAJESHWARI
@nitttrbpl.ac.in
Professor of Electrical & Electronics Engineering
National Institute of Technical Teachers' Training & Research(NITTTR), Bhopal
EDUCATION
PhD(Electrical Engineering)
M Tech(Design and Production of Heavy Electrical Equipment)
B. E.(Electrical Engineering)
RESEARCH INTERESTS
Electrical Engineering, Renewable energy, Energy conservation and management
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Sweta Manjare, Saurabh Saraf, and C. Rajeshwari
IEEE
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.
Anoop Arya, Swatantra Singh Verma, Shweta Mehroliya, Shilpi Tomar, and C. S. Rajeshwari
Springer Singapore
Anurag S. D. Rai, Reeta Pawar, Alpana Pandey, C. S. Rajeshwari, and Ashok Kumar Gwal
Springer Singapore
Anoop Arya, Shilpi Sisodia, Shweta Mehroliya, and C.S. Rajeshwari
IEEE
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