Optimal operation of hydrogen-based multi-energy microgrid integrating water network and transportation sector

作     者：Khan, Muhammad Ahsan Rehman, Talha Kim, Hak-Man 

作者机构：Incheon Natl Univ Dept Elect Engn 119 Acad Ro Incheon 22012 South Korea Incheon Natl Univ Res Inst Northeast Asian Super Grid 119 Acad Ro Incheon 22012 South Korea 

出 版 物：《INTERNATIONAL JOURNAL OF HYDROGEN ENERGY》 (Int J Hydrogen Energy)

年 卷 期：2025年第97卷

页      面：501-515页

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理] 0703[理学-化学] 

主　　题：Electric vehicles Hydrogen energy Hydrogen vehicles Mixed-integer linear programming Multi-energy microgrid Water-energy nexus 

摘      要：To address the rising demand for hydrogen energy and its reliance with the water sector, this study presents an optimal scheduling framework fora multi-energy microgrid (MEMG) that integrates electric, thermal, water, and hydrogen energy networks. To this end, a mixed-integer linear programming (MILP) model is formulated to minimize both operational costs and emissions. A bi-variate piecewise McCormick envelope technique is utilized to manage the non-linear constraints associated with the water network. The model also incorporates the transportation sector, including electric and hydrogen vehicles (EVs, HVs), with vehicle-to-grid (V2G) technology, and models their associated uncertainties using Monte Carlo simulation (MCS). Additionally, the sale of oxygen as a by-product of the hydrogenation process is also considered. The case study shows significant economic and environmental benefits, with a 29.66% cost reduction and 22.26% emissions decrease from water network integration. Oxygen sales further reduce costs by 14.19%, and V2G technology contributes an additional 2.35% cost and 6.01% emissions reduction. The proposed linear approximation method achieved superior performance, with a root mean square error (RMSE) of 0.72 and a relative error of 2.132%.