A Multi-State Model for Reliability Assessment of Integrated Gas and Power Systems Utilizing Universal Generating Function Techniques

被引：91

作者：

Bao, Minglei ^{[1
]}

Ding, Yi ^{[1
]}

Singh, Chanan ^{[2
]}

Shao, Changzheng ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China

[2] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA

来源：

IEEE TRANSACTIONS ON SMART GRID | 2019年 / 10卷 / 06期

关键词：

Multi-state model; integrated gas and power systems; universal generating function; reliability; NATURAL-GAS; PENETRATION; TERM;

D O I：

10.1109/TSG.2019.2900796

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：

Large-scale adoption of gas-fired power plants (GPPs) significantly accelerates the integration of power systems and natural gas systems (NGSs). Because the operation of NGS has a significant impact on the reliability of power system, it is important to simultaneously evaluate the reliabilities of power system and NGS. Moreover, due to the stochastic failures and various operating characteristics of components, the integrated gas and power systems (IGPS) considering multiple states can be viewed as a multi-state system. Therefore, a multi-state model is proposed for reliability evaluation of IGPS based on universal generating function (UGF) techniques. First, a framework is proposed to evaluate the reliability of NGS: multi-state models for different components in the NGS are developed as the corresponding UGFs. These UGFs are aggregated utilizing the gas flow calculation operator to obtain the multi-state model of NGS. Moreover, a gas-to-power calculation operator is developed to convert the multi-state model of gas injection at each node to the power output models of GPPs in power system. In this manner, the impacts of NGS could be incorporated into the reliability evaluation of power system. Furthermore, nodal reliability indices for both the NGS and the power system are proposed to evaluate the reliability performances of IGPS. The proposed methods are validated using the integrated gas and power test system.

引用

页码：6271 / 6283

页数：13

共 33 条

[1] Natural gas and electricity optimal power flow [J].

An, S ;

Li, Q ;

Gedra, TW .

2003 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE & EXPOSITION, VOLS 1-3, CONFERENCE PROCEEDINGS: BLAZING TRAILS IN ENERGY DELIVERY AND SERVICES, 2003, :138-143

[2]

[Anonymous], 1979, IEEE T POWER AP SYST, V98, P2047, DOI 10.1109/TPAS.1979.319398

[3]

[Anonymous], 2005, SPRING SER RELIAB EN

[4]

[Anonymous], 1996, Reliability Evaluation of Power Systems, DOI DOI 10.1007/978-1-4615-7731-7

[5]

Barringer H., 1996, 5 INT C PROC PLANT R, P25

[6] Application of Monte Carlo simulation to generating system well-being analysis [J].

Billinton, R ;

Karki, R .

IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (03) :1172-1177

[7] Inclusion of PMU current phasor measurements in a power system state estimator [J].

Chakrabarti, S. ;

Kyriakides, E. ;

Ledwich, G. ;

Ghosh, A. .

IET GENERATION TRANSMISSION & DISTRIBUTION, 2010, 4 (10) :1104-1115

[8] 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

[9] Reliability and price risk assessment of a restructured power system with hybrid market structure [J].

Ding, Y ;

Wang, P .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (01) :108-116

[10] Short-Term and Medium-Term Reliability Evaluation for Power Systems With High Penetration of Wind Power [J].

Ding, Yi ;

Singh, Chanan ;

Goel, Lalit ;

Ostergaard, Jacob ;

Wang, Peng .

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (03) :896-906

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