Reliability evaluation of integrated electricity-gas system utilizing network equivalent and integrated optimal power flow techniques

被引:40
作者
Wang, Sheng [1 ]
Ding, Yi [1 ]
Ye, Chengjin [1 ]
Wan, Can [1 ]
Mo, Yuchang [2 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou, Zhejiang, Peoples R China
[2] Huaqiao Univ, Sch Math Sci, Quanzhou, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Integrated electricity-gas system; Integrated electricity and gas optimal power flow; Reliability network equivalent; Time-sequential Monte Carlo simulation; NATURAL-GAS; TO-GAS; ENERGY-SYSTEMS; IMPACT; OPTIMIZATION; MODEL;
D O I
10.1007/s40565-019-0566-x
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
The wide utilization of gas-fired generation and the rapid development of power-to-gas technologies have led to the intensified integration of electricity and gas systems. The random failures of components in either electricity or gas system may have a considerable impact on the reliabilities of both systems. Therefore, it is necessary to evaluate the reliabilities of electricity and gas systems considering their integration. In this paper, a novel reliability evaluation method for integrated electricity-gas systems (IEGSs) is proposed. First, reliability network equivalents are utilized to represent reliability models of gas-fired generating units, gas sources (GSs), power-to-gas facilities, and other conventional generating units in IEGS. A contingency management schema is then developed considering the coupling between electricity and gas systems based on an optimal power flow technique. Finally, the time-sequential Monte Carlo simulation approach is used to model the chronological characteristics of the corresponding reliability network equivalents. The proposed method is capable to evaluate customers' reliabilities in IEGS, which is illustrated on an integrated IEEE Reliability Test System and Belgium gas transmission system.
引用
收藏
页码:1523 / 1535
页数:13
相关论文
共 33 条
[1]  
[Anonymous], 2016, MONTHL EN REV
[2]   Impact analysis of human factors on power system operation reliability [J].
Bao, Yingkai ;
Guo, Chuangxin ;
Zhang, Jinjiang ;
Wu, Jiaxin ;
Pang, Suhong ;
Zhang, Zhiping .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2018, 6 (01) :27-39
[3]   Reliability-network-equivalent approach to distribution-system-reliability evaluation [J].
Billinton, R ;
Wang, P .
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1998, 145 (02) :149-153
[4]  
Billinton R., 1970, POWER SYSTEM RELIABI
[5]  
Chen ZX, 2018, J MOD POWER SYST CLE, V33, P2140
[6]  
Chmilar W, 1996, P 1 INT PIP C DES CO, P803
[7]   Integrated Modeling and Assessment of the Operational Impact of Power-to-Gas (P2G) on Electrical and Gas Transmission Networks [J].
Clegg, Stephen ;
Mancarella, Pierluigi .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2015, 6 (04) :1234-1244
[8]   Robust optimization for improving resilience of integrated energy systems with electricity and natural gas infrastructures [J].
Cong, Hao ;
He, Yang ;
Wang, Xu ;
Jiang, Chuanwen .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2018, 6 (05) :1066-1078
[9]   The gas transmission problem solved by an extension of the simplex algorithm [J].
De Wolf, D ;
Smeers, Y .
MANAGEMENT SCIENCE, 2000, 46 (11) :1454-1465
[10]   Operational reliability evaluation of restructured power systems with wind power penetration utilizing reliability network equivalent and time-sequential simulation approaches [J].
Ding, Yi ;
Cheng, Lin ;
Zhang, Yonghong ;
Xue, Yusheng .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2014, 2 (04) :329-340