Mahesh S. Illindala
Engineering · The Ohio State University
Publications
138
Citations
3,073
Est. group size
~3
Recurring co-author estimate
Active years
25
Publishing since 2002
Mahesh S. Illindala works on power system engineering, focusing on how electrical grids—especially microgrids (small, localized power networks that can operate independently or connected to the main grid)—can be made more resilient, reliable, and secure. His recent work covers topics like detecting cyberattacks and equipment faults, controlling frequency and voltage in grids with solar and battery power, and using data-driven and machine-learning methods to monitor grid behavior. This research is relevant to students interested in renewable energy integration, grid protection, and resilient infrastructure design.
Publication output was higher and more variable earlier in the decade (peaking around 2017-2018) and has since settled into a lower but fairly steady annual rate, with a modest uptick in 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Development of a Unified Resilience Metric for Microgrids and Its Improvement Through Building Energy Management Systems
IEEE Transactions on Industry Applications · 2026
- Resilient distributed load frequency control for solar PV-dominated interconnected power systems against PMU denial-of-service attacks
International Journal of Electrical Power & Energy Systems · 2025
- Delay-structured noise robust dynamic mode decomposition for power system modal estimation with faulty PMU data
Sustainable Energy Grids and Networks · 2025
- Building Energy Management System Impact on Community Microgrids Resiliency, Reliability, and Robustness Enhancement
2025
- Power System Modal Estimation Using Hankel-Enhanced Dynamic Mode Decomposition
SSRN Electronic Journal · 2025
- Fault Detection Using Time-Domain Incremental Negative-Sequence Energy in Distribution Grids
2025
- Quantifying Reliability Improvements in Distribution Systems with Grid-Forming Inverter Integration
2025
- Machine Learning-Based Reliability Assessment of Bifacial PV System for an Off-Grid Microgrid
2025
- Power System Modal Analysis using Hankel-based Robust Mode Decomposition with Symmetric Operators
2025
- Robust Distributed Load Frequency Control for Multi-Area Power Systems with Photovoltaic and Battery Energy Storage System
Energies · 2024
- Power System Bifurcation Detection Using Statistical Early Warning Signals With Synchrophasor Data
2024
- Robust Flexible Ramping Product Provision By Electric Vehicles Aggregators In Multi-Settlement Electricity Markets
2023
- Guest Editorial Advances in Energy Conversion, Control, Operation and Planning Towards Self-Sustained Highway Transportation Energy System
IEEE Transactions on Industry Applications · 2023
- Evaluation of Modified Global Sensitivity Analysis Techniques for Power System Dynamic Studies
2022 IEEE Industry Applications Society Annual Meeting (IAS) · 2022
- Resiliency-Based Planning for Interconnected Lunar Microgrids using Hybrid-Edge Rewiring
2022
- IEEE Transactions on Industry Applications×21
- IEEE Transactions on Power Delivery×3
- Applied Energy×2
- IEEE Transactions on Power Systems×2
- International Journal of Electrical Power & Energy Systems×2
- Xiaonan Lu
Engineering · Purdue University West Lafayette
- Yuxi Men
Engineering · Purdue University West Lafayette
- Ram Shankar Yallamilli
Engineering · Purdue University West Lafayette
- Lizhi Ding
Engineering · Purdue University West Lafayette
- Yu Su
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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