Dr. Sunil Kumar Jilledi
Power Systems Transmission and distribution, Power system stability, Hydro power Engineering, Power System, power system operation and control, Power systems Analysis. Electrical machines, Fuzzy Logic, neural networks. Transmission and distribution Power system stability Hydro power engineering Power system operation and control Power systems analysis Electrical machines Fuzzy logic Neural networks Optimal Power Flow Distribution Electric Power System Optimization Thermal Analysis in Power Transmission Electric Power Systems and Control Frequency Control in Power Systems Stability and Control of Uncertain Systems Smart Grid and Power Systems Islanding Detection in Power Systems Extremum Seeking Control Systems Control and Systems Engineering Electrical and Electronic Engineering

Bio

Dr. Sunil Kumar Jilledi is an accomplished academic and researcher in the field of Electrical and Electronics Engineering, with a strong focus on power systems and renewable energy. He holds a Ph.D., M.Tech, and B.E. degrees, and has been affiliated with institutions such as OPJS University, Sri Venkateswara University, and the Eritrea Institute of Technology. Dr. Jilledi has authored a paper titled 'Improving Profile Parameters of the Power System Network using Krill Herd Algorithm with FACTS device: UPFC' and has contributed extensively as a reviewer and editor for the Global Journal of Researches in Engineering (GJRE). With over 20 published papers, 16 international and 5 national publications, and experience as a peer reviewer for 5 papers, he has demonstrated a deep commitment to advancing knowledge in power system stability, transmission and distribution, and related domains. His work also includes editorial roles for 15 papers and active participation as a fellow member. Based in Tirupati, Andhra Pradesh, India, Dr. Jilledi continues to influence the field through his research, reviewing, and editorial contributions.

Educational Journey

Sri Venkateswara University

M.Tech AND PhD • Power Systems

Eritrea Institute of Technology

B.E, M.TECH, (PhD)

Experience

0 - 0 • Electrical and Electronics Engineering

Editors Role

Editor

Global Journal of Researches in Engineering

2015 - Present

Reviewer

Global Journal of Researches in Engineering

2012 -

Affiliations

Global Journal of Researches in Engineering

Fellow

Member since 2014

Grants and Awards

FELLOWSHIP

Fellow Membership

Global Journal of Researches in Engineering

2014 1000 USD

Research

Improving Profile Parameters of the Power System Network using Krill Herd Algorithm with FACTS device: UPFC

Article July 24, 2017

In the electric power system the optimal power flow plays a key role in optimal location, steady state operation point, minimization of generation cost, losses etc. Large Power transmission networks are facing lot of problems to improve the power profiles, improvement of losses, security constraints, and stability issues. The advent of Flexible AC Transmission System (FACTS) devices has led the controlling capabilities to improve the power profiles. Out of these Unified Power Flow Controller (UPFC) has the capability to improve all the three system variables namely line reactance, magnitude and phase angle difference of voltage across the line simultaneously or individually. Many natural inspired algorithms have implemented to solve the optimal power flow with incorporation of UPFC. The main scope of this paper is to implement the KRILL HEARD ALGORITHM (KHA) a novel meta-heuristic approach which is influenced from the herding actions of the krill swarms search for food or communication with each other. Considering the generator buses play down the real power losses, generator bus voltages and reactive power injection. The proposed KRILL HEARD ALGORITHM based optimal power flow has been tested for the IEEE 14- 30 bus systems. The results have been presented clearly for the proposed algorithm with and without incorporation of UPFC. Proposed algorithm results have been compared with GA, PSO, FF and ABC algorithms.