Robust Co-Optimization Planning of Interdependent Electricity and Natural Gas Systems With a Joint N-1 and Probabilistic Reliability Criterion

被引:124
作者
He, Chuan [1 ]
Wu, Lei [2 ]
Liu, Tianqi [1 ]
Bie, Zhaohong [3 ]
机构
[1] Sichuan Univ, Sch Elect Engn & Informat, Chengdu 610065, Sichuan, Peoples R China
[2] Clarkson Univ, Elect & Comp Engn Dept, Potsdam, NY 13699 USA
[3] Xi An Jiao Tong Univ, Shaanxi Key Lab Smart Grid, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Shaanxi, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Co-optimization planning; N-1; contingency; power-to-gas; probabilistic reliability; robust optimization; POWER-TO-GAS; TRANSMISSION EXPANSION; WIND; GENERATION; CAPACITY;
D O I
10.1109/TPWRS.2017.2727859
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As the sharp growth of gas-fired power plants and the new emergence of power-to-gas (PtG) technology intensify the interdependence between electricity and natural gas systems, it is imperative to co-optimize the two systems for improving the overall efficiency. This paper presents a long-term robust co-optimization planning model for interdependent systems, for minimizing total investment and operation costs. Beside generators, transmission lines, gas suppliers, and pipelines, PtGs and gas compressor stations are also considered as investment candidates to effectively handle wind power uncertainties in the power system and compensate pressure losses in the gas network. Furthermore, the proposed model includes a joint N-1 and probabilistic reliability criterion to promote economical and reliable planning solutions. The proposed model is solved via a decomposition approach, by iteratively solving a base-case master problem and two operation subproblems to check N-1 and probabilistic reliability criteria. Numerical case studies illustrate the effectiveness of the proposed robust co-optimization planning approach.
引用
收藏
页码:2140 / 2154
页数:15
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