Energy Cooperation for Wind Farm and Hydrogen Refueling Stations: A RO-Based and Nash-Harsanyi Bargaining Solution

被引：22

作者：

Mi, Yang ^{[1
]}

Cai, Pengcheng ^{[1
]}

Fu, Yang ^{[1
]}

Wang, Peng ^{[2
]}

Lin, Shunfu ^{[1
]}

机构：

[1] Shanghai Univ Elect Power, Shanghai 200090, Peoples R China

[2] Nanyang Technol Univ, Singapore 308232, Singapore

来源：

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2022年 / 58卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Hydrogen; Games; Uncertainty; Wind power generation; Optimization; Costs; Microgrids; Energy trading; hydrogen refueling stations (HRSs); Nash-Harsanyi bargaining; robust optimization (RO); wind farm (WF); ROBUST OPTIMIZATION; POWER-SYSTEM; MICROGRIDS; OPERATION; STRATEGY;

D O I：

10.1109/TIA.2022.3188233

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Nowadays, with the rapid development of hydrogen powered vehicles, the demand for hydrogen refueling stations (HRSs) in the transportation field is growing. The renewable energy, e.g., wind energy, is used to produce and store hydrogen on site for HRSs, which may be a relatively cheap and clean solution. Considering the wind farm (WF) and HRSs belong to different entities, a new cooperative operation model of the WF-HRSs combined system is proposed. Specifically, the robust optimization methods are implemented to characterize the uncertainties of wind power and market electricity price, respectively, to alleviate risk. To ensure the fairness of profit allocation, the bargaining power is measured by various contribution levels of each stakeholder based on the Nash-Harsanyi bargaining game theory. Furthermore, the model is transformed into two sequential subproblems: energy trading problem (SP1) and the payment bargaining problem (SP2). Accordingly, a solving technique adopting column and constraint generation algorithm is provided to solve the SP1. In addition, for the sake of privacy protection, a distributed approach based on data-centric mode is developed to solve SP2. Finally, the numerical results can validate the effectiveness and scalability for the proposed scheme and algorithms.

引用

页码：6768 / 6779

页数：12