Yi Guo

TL;DR: Case studies demonstrate the better performance of the proposed framework, offering an effective day-ahead marginal electricity price for tomorrow's operation and increasing the microgrid-like EV parking deck's revenue during the real-time operation.

TL;DR: A data-based method to solve a multi-stage stochastic optimal power flow (OPF) problem based on limited information about forecast error distributions and utilizes the Wasserstein metric to quantify differences between the empirical data- based distribution and the real unknown data-generating distribution.

TL;DR: Case studies demonstrate the better performance of the proposed framework, offering an effective day-ahead marginal electricity price for tomorrow's operation and increasing the microgrid-like EV parking deck's revenue during the real-time operation.

TL;DR: In this paper, a co-modeling and simulation framework is proposed to investigate the impacts of PEV charging facilities on the electric distribution system and transportation system, and explore the possibilities to improve the system's stability and the efficiency of the integrated electrified transportation systems by taking advantage of a variety of charging control strategies.

TL;DR: Detailed numerical experiments are presented to illustrate the effectiveness and flexibility of the proposed methodology for balancing efficiency, constraint violation risk, and out-of-sample performance, offering systematic techniques for system operators to balance these objectives.