Optimal Power-Hydrogen Networked Flow Scheduling for Residential Carpark With Convex Approximation
Sidun Fang, Shenxi Zhang, Tianyang Zhao, Ruijin Liao
Abstract
The replacement of hydrogen with conventional fossil fuel has been viewed as a feasible route to the ZERO emission transportation. Nowadays, the water electrolysis method has become mature and efficient enough to produce large scale of hydrogen, and the condensation and reliquefaction technologies also greatly reduce the hydrogen loss via pipeline transmission, which both motivate the applications of hydrogen as a fuel. In this study, a combined power-hydrogen network is planned to supply the power demand of residential blocks and the charging/fueling demand for electrical vehicles and hydrogen vehicles, respectively. However, the joint scheduling of power-hydrogen network is challenging due to the nonlinearity and nonconvexity inherited from the hydraulic dynamics of hydrogen transmission. To resolve this problem, a convex–concave-based sequential convex approximation method is proposed. A revised 37-bus system is used to demonstrate the validity of proposed method.