chenyewu AT

The high penetration of renewable energies contributes to a sustainable energy future. However, it also brings huge uncertainties, which challenge the reliable operation of power systems. To better design the control framework for power systems with uncertainties, the theme of my research is to utilize pervasive intelligent resources to improve the system performance, e.g., cost effectiveness, reliability, and robustness. More specifically, my research goal is to develop methodologies to: 1) understand how information and financial interactions promote the performance of power systems; and 2) rigorously study the electricity markets from their structural and parametric descriptions. Many of such fundamental analyses seem counterintuitive in light of commonly held beliefs. For example,  
Does centralized control always guarantee the best performance? read more
Is deregulated electricity market really competitive? read more
Are renewable energies really free? read more
Is the electric vehicle a challenge or an opportunity to the system? read more
Can we extend the business model of Uber and Airbnb to the electricity sector? read more

Inherent in these questions is my pursuit of the most reliable and effective design for the future energy sector.
Besides my research interests in power systems, I am also enthusiastic about generalizing my research for other cyber-physical systems. In particular, the extraordinary complexity of power systems makes this a very rich topic, and thus the techniques developed for power systems are easy to be generalized. For example, the wide deployed ubiquitous sensing extends us the opportunity to sharpen our understandings about power systems through big data and deep learning techniques. If successful, the method and routine can definitely help us understand other non-linear dynamic cyber-physical systems. More broadly, one critical challenge faced by the power systems is to manage uncertainties through information exchange, control, and market design. The solution concept to tackle this challenge for power systems will be readily applicable to other networked multi-agent cyber-physical systems. Though this goal is big even for power systems alone, every attempt towards it will be beneficial to the whole research society.