faculty-profile

Mr. Rasananda Muduli

info

Assistant Professor

CS&AI

National Institute of Technology Karnataka, Surathkal

0

web-pages

Power System, Machine Learning

Application of Reinforcement Learning in Power System

Educational
Qualifications
(From Highest)

2025

Ph.D in Electrical and Electronics Engineering from National Institute of Technology Karnataka, Surathkal

2028

M.Tech in Power and Energy System Engineering from National Institute of Technology, Silchar

2014

B.Tech in Electrical Engineering from Government College of Engineering, Kalahandi, Bhawanipatna, Odisha

Professional
Experience

2025

Assistant Professor at SR University, Warangal, from 2025-02-24 to Till Date.

Key Publications

Barik, A. K., Das, D. C., & Muduli, R. (2019, February). Demand response supported optimal load-frequency regulation of sustainable energy-based four-interconnected unequal hybrid microgrids. In 2019 IEEE International Conference on Sustainable Energy Technologies and Systems (ICSETS) (pp. 273-278). IEEE.

Muduli, R., Jena, D., & Moger, T. (2023, June). Application of expected Sarsa-learning for load frequency control of multi-area power system. In 2023 5th International Conference on Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE) (pp. 1-6). IEEE.

Muduli, R., Nair, N., Kulkarni, S., Singhal, M., Jena, D., & Moger, T. (2023, August). Load frequency control of two-area power system using an actor-critic reinforcement learning method-based adaptive PID controller. In 2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET) (pp. 1-6). IEEE.

Muduli, R., Jena, D., & Moger, T. (2024). Application of reinforcement learning-based adaptive PID controller for automatic generation control of multi-area power system. IEEE Transactions on Automation Science and Engineering, 22, 1057-1068.

Muduli, R., Jena, D., & Moger, T. (2024). Automatic generation control of is-landed micro-grid using integral reinforcement learning-based adaptive optimal control strategy. Electrical Engineering, 1-16.

Muduli, R., Jena, D., & Moger, T. (2024). A survey on load frequency control using reinforcement learning-based data- driven controller. Applied Soft Computing, 112203.