research interests include economic load dispatch, Hydrothermal Scheduling, alternative energy power generation and soft computing applications to different power system problems
Analysis of ALFC in Two Area Power System Using Golden Eagle Optimization Ankan Mohanty, Ajit Kumar Barisal 3rd IEEE International Conference on Industrial Electronics Developments and Applications Icidea 2025, 2025 Automatic Load Frequency Control (ALFC) is used in interconnected power systems to control tie-line power flows and keep the system frequency within allowable bounds. This paper simulates and analyzes ALFC in a two-area power system using the Golden Eagle Optimization technique to stabilize frequency deviations when a load disturbance occurs. The proposed method utilizes different iterations and population sizes to obtain the optimal PID controller values for stabilizing frequency in both areas.
Investigation and Design of T-Type Inverter for Power Distribution Network Science and Technology Asia, 2025
Frequency regulation of standalone microgrid Using MRFO algorithm P. Mohanty, S. Padhan, A. K. Barisal 3rd IEEE International Conference on Industrial Electronics Developments and Applications Icidea 2025, 2025 In the present work, Manta Ray Foraging Optimization (MRFO) algorithm optimized Proportional-Integral (PI) controller is studied for frequency adjustment of a standalone micro grid (MG). The MG system consists of a Diesel Engine Generator (DEG), Fuel Cell (FC), Micro Turbine (MT) through PI controller and photovoltaic (PV) systems with maximum power point trackers (MPPT) through another PI controller. The best gain values of the PI controllers are searched by MRFO algorithm using an Integral Time Absolute Error (ITAE) as fitness criteria. The simulation is carried out with different case studies. When compared to the results of other optimization approaches for the same MG, like Swalp Search Algorithm, Particle Swarm Optimization(PSO), and Teaching Learning Based Optimization(TLBO), the MRFO-based PI controller outperforms them in all scenarios. According to the simulation findings, the MRFO technique gives better dynamic responses in terms of overshoot, undershoot value, settling time, and Integral Time Absolute Error.
Optimal Energy Management for Grid-Connected Microgrids with Dynamic Pricing and Renewable Energy Integration Lalbahadur Majhi, Samarjit Patnaik, Ajit Kumar Barisal, Abhijit Dubey, Abinash Sahoo, Ayush Patel, Soumyaranjan Sahu, Manas Ranjan Nayak Indiscon 2025 IEEE 6th India Council International Subsections Conference Proceedings, 2025 This paper presents a smart home energy management system designed to optimize the power flow in a microgrid, which includes solar photovoltaic (PV) panels, wind turbine generation (WTG), and battery energy storage systems (BESS). The system aims to address common challenges such as high peak demand and voltage instability, which often occur when renewable energy sources (RES) are heavily integrated. By accounting for changes in residential electricity consumption, solar radiation, and wind speed throughout the day, the system seeks to reduce overall operational costs. These costs include the price of electricity and the capital costs of the PV panels, wind turbines, converters, and storage batteries. Three different system scenarios were analyzed: (1) a basic microgrid, (2) a microgrid with only PV and WTG, and (3) a microgrid with PV, WTG, and BESS. The analysis showed that integrating microgrid with PV and WTG reduced costs by 26% and microgrid with PV, WTG and BESS reduced costs by 28%. The findings suggest that effective management of renewable energy sources, a smart home energy management system and storage systems can significantly lower costs, help balance peak power demand, and contribute to reducing greenhouse gas emissions, making the system a valuable solution for sustainable energy use in residential settings.
Economic Load Dispatch with Renewable Energy Resources and Plug-in Electric Vehicles Soudamini Behera, Sasmita Behera, Ajit Kumar Barisal, Sonam Pradhan Proceedings of the 2020 International Conference on Renewable Energy Integration into Smart Grids A Multidisciplinary Approach to Technology Modelling and Simulation Icreisg 2020, 2020
Optimal power dispatch using BAT algorithm S. Biswal, A. K. Barisal, A. Behera, T. Prakash 2013 International Conference on Energy Efficient Technologies for Sustainability Iceets 2013, 2013
An artificial neural network method for optimal generation dispatch with multiple fuel options Journal of the Institution of Engineers India Electrical Engineering Division, 2009
Dynamic search space squeezing technique for large scale optimal load dispatch Journal of the Institution of Engineers India Electrical Engineering Division, 2008
