My Research
The electric power system is fundamental to modern society, supporting daily operations and economic activities. Driven by climate change impacts, energy security needs, and the proliferation of cost-effective technologies, this system is undergoing an unprecedented paradigm shift from centralized fossil fuel-dependent generation towards distributed and weather-driven renewable generation. Alongside this, the widespread electrification of key sectors (e.g., transportation, manufacturing, and heating) and the rapid growth of the AI industry are driving substantial increases in electricity consumption. Furthermore, a huge number of traditional electricity consumers, who previously only drew power unidirectionally from the grid, are becoming “prosumers”—both producing and consuming electricity—thanks to the adoption of local renewable generation and battery energy storage systems. This introduces high variability into the net load, which, coupled with the continued overall growth in electricity consumption, is making the load increasingly volatile and less predictable. These changes are causing electric grids to grow in scale and complexity while becoming more distributed and facing more uncertainties. To guarantee reliable operation of the power system amid these changes, it becomes imperative to develop and deploy advanced strategies that provide effective means to navigate uncertainties and facilitate robust supply-demand coordination.
To this end, my research focuses on developing models and algorithms that harness available data to deal with uncertainties and employ potential dynamic flexibility to coordinate system stakeholders. The main contributions of my work in power system optimization include
- Sample-oriented robust strategy design with performance guarantees Read More »
- Carbon-aware coordination to enhance operational sustainability Read More »
- Privacy-preserved frameworks for secured data sharing Read More »