Junyong Liu

TL;DR: A scenario-based robust energy management method accounting for the worst-case amount of renewable generation and load, which is robust against most of the possible realizations of the modeled uncertain set by Monte Carlo verification is developed.

TL;DR: In this paper, the siting and sizing of CSs is optimized considering the interactions between power and transportation industries, and load capability constraints are proposed to evaluate whether the candidate CSs deployment and tie line plans could be adopted.

TL;DR: This review focuses on highlighting the Janus role of SIRT3 with oncogenic or tumor-suppressive function in cancer, which may provide more new clues for exploring Sirt3 as a therapeutic target for drug discovery.

TL;DR: A decentralized energy management framework to coordinate the power exchange between DS and MGs based on the alternating direction method of multipliers algorithm in a fully decentralized fashion is proposed.

TL;DR: A two-stage robust optimization model is proposed to coordinate the on load tap changer ratios, reactive power compensators, and charge–discharge power of energy storage system to find a robust optimal solution to solve the robust coordinated optimization problem for active and reactive powers as a mixed integer second-order cone (SOC) programming problem.