@inproceedings{59e5edc7ac4449868fdd8de1860e44f3,
title = "Energy-Reserve Co-Optimization for Energy Internet Considering Reserve Control Zone Determination",
abstract = "Considering complicated existing couplings between different networks, the operating and dispatching under Energy Internet meet more difficulties. This paper presents an energy-reserve co-optimization model for Energy Internet to balance various load demand while withstand N-1 outages with the least operational cost. To address the problem of computational complexity, a reserve control zone determination method based on kruskal's algorithm has been proposed to narrow responsive reserve zone and simplify N-1 outage constraints. The energy-reserve co-optimization model with simplified N-1 outage constraints has been performed on a test energy system including IEEE 39-bus power system and a 15-node natural gas network. According to the optimal results, though the simplified method increases 7\% operational cost, it can also totally reduce 27\% N-1 constraints, which demonstrates the effectiveness of proposed method in improving the computation efficiency.",
keywords = "Energy Internet, Kruskal's algorithm, N-1 outage constraints, energy-reserve co-optimization, reserve control zones",
author = "Fan Liu and Zhaohong Bie and Can Wang and Tao Ding",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 1st IEEE International Conference on Energy Internet, ICEI 2017 ; Conference date: 17-04-2017 Through 21-04-2017",
year = "2017",
month = may,
day = "11",
doi = "10.1109/ICEI.2017.22",
language = "英语",
series = "Proceedings - 1st IEEE International Conference on Energy Internet, ICEI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "83--88",
editor = "Junwei Cao and Wenhua Liu and Jiye Wang and Kai Xie",
booktitle = "Proceedings - 1st IEEE International Conference on Energy Internet, ICEI 2017",
}
