Research Topics
My research develops analysis, optimization, and control methods for resilient power distribution systems with AC-DC hybrid grids, distributed energy resources, microgrids, and AI-assisted operation.
Power Grid Research
AC-DC Hybrid Power Grid Analysis
I develop analysis methods for hybrid AC-DC distribution systems where converter-interfaced resources, DC links, and conventional AC feeders operate as one coupled grid.
Core questions: how to model steady-state coupling, fault behavior, protection coordination, and operational limits as DC infrastructure expands into distribution-level networks.
- Sequential AC-DC power-flow algorithms for practical hybrid network studies.
- Fault-current and circuit-breaker allocation analysis for DC-connected systems.
- Scenario studies for renewable-rich feeders, converters, and protection devices.
Representative work: DC circuit-breaker allocation, HVDC trend analysis, and hybrid AC-DC power-flow implementation.
AI and Optimization for Grid Resilience
My work applies optimization, statistical learning, and AI-assisted decision support to power-grid planning and operation under uncertainty, high renewable penetration, and disturbance risk.
Core questions: how to turn data, forecasts, and physical constraints into decisions that improve reliability, reduce cost, and preserve operational feasibility.
- Deep-learning and hybrid-model comparisons for load forecasting in power systems.
- Particle swarm optimization for distributed generation allocation under fault-current constraints.
- Reliability-aware maintenance, replacement, and resilience planning for grid assets.
Representative work: deep-learning load forecasting, DG allocation with PSO, and underground cable maintenance optimization.
Microgrids and Distributed Energy Resources
I study microgrids and distributed energy resources as operational platforms for resilient, low-carbon power supply in isolated, campus-scale, and critical-load environments.
Core questions: how to size, simulate, and operate PV, wind, ESS, backup generation, and controllable loads when reliability and economics must be evaluated together.
- Hybrid microgrid design using techno-economic and electrical simulation workflows.
- DER integration studies for data centers, local communities, and remote facilities.
- Programmable control concepts for renewable-rich distribution systems.
Representative work: stand-alone hybrid power systems for a data center and microgrid design studies using HOMER, DIgSILENT, and related tools.
Virtual Power Plants and Energy Storage
I investigate virtual power plants and energy storage as flexible resources that can coordinate prosumers, renewable generation, and grid-support services in uncertain operating conditions.
Core questions: how ESS dispatch, aggregation, and robust real-time decisions affect reliability, stability, and economic operation from the prosumer level to the feeder level.
- Prosumer-centric ESS operation strategies and their impact on power-grid reliability.
- Robust VPP operation under renewable and demand forecast uncertainty.
- Decision-search approaches, including Monte Carlo tree search, for real-time operation.
Representative work: ESS operation strategy and grid reliability and ongoing VPP/ESS control studies.