Convex Hull Based Robust Security Region for Electricity-Gas Integrated Energy Systems

被引:102
作者
Chen, Sheng [1 ]
Wei, Zhinong [1 ]
Sun, Guoqiang [1 ]
Wei, Wei [2 ]
Wang, Dan [3 ]
机构
[1] Hohai Univ, Coll Energy & Elect Engn, Nanjing 210098, Jiangsu, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[3] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金;
关键词
Integrated energy system (IES); robust security region (RSR); convex hull; security boundary points; IES security assessment; OPTIMAL POWER-FLOW; NATURAL-GAS; STEADY-STATE; MODEL;
D O I
10.1109/TPWRS.2018.2888605
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
Increasing interdependency between electric power systems and natural gas systems creates additional dimensions of flexibility of system operation; but it may also escalate risk levels if the two systems are managed without proper coordination. This paper presents a robust security region (RSR) for electricity-gas integrated energy systems (IESs). It is a collection of uncertain parameters, especially wind power generations, under which system power flow has at least one feasible solution. First, a nonlinear optimization model is employed to obtain a set of uniformly distributed points on power flow solvability boundaries, from which the IES security region is constructed using a convex hull. Then, the proposed RSR is constructed to provide secure operation for the base-case scenario, where uncertain wind power generation values are replaced with expected values, and provide a feasible redispatch plan for each wind power generation scenario. Other implications of the RSR on IES security assessment are also envisioned. Results for two test systems indicate that the convex hull approach provides a more accurate approximation of the IES security region than a hyperplane approach. Meanwhile, the benefits of RSR are demonstrated by comparing test results with those obtained for a deterministic security region.
引用
收藏
页码:1740 / 1748
页数:9
相关论文
共 41 条
[1]   Practical Security Boundary-Constrained DC Optimal Power Flow for Electricity Markets [J].
Chavez-Lugo, Miguel ;
Fuerte-Esquivel, Claudio R. ;
Canizares, Claudio A. ;
Gutierrez-Martinez, Victor J. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (05) :3358-3368
[2]   Clearing and Pricing for Coordinated Gas and Electricity Day-Ahead Markets Considering Wind Power Uncertainty [J].
Chen, Runze ;
Wang, Jianhui ;
Sun, Hongbin .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (03) :2496-2508
[3]   Adaptive Robust Day-Ahead Dispatch for Urban Energy Systems [J].
Chen, Sheng ;
Wei, Zhinong ;
Sun, Guoqiang ;
Cheung, Kwok W. ;
Wang, Dan ;
Zang, Haixiang .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (02) :1379-1390
[4]   Steady state and transient simulation for electricity-gas integrated energy systems by using convex optimisation [J].
Chen, Sheng ;
Wei, Zhinong ;
Sun, Guoqiang ;
Wang, Dan ;
Zang, Haixiang .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (09) :2199-2206
[5]   Multi-Linear Probabilistic Energy Flow Analysis of Integrated Electrical and Natural-Gas Systems [J].
Chen, Sheng ;
Wei, Zhinong ;
Sun, Guoqiang ;
Cheung, Kwok W. ;
Sun, Yonghui .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (03) :1970-1979
[6]  
Chen SW, 2016, AER ADV ENG RES, V104, P1
[7]   Steady-state security assessment method based on distance to security region boundaries [J].
Chen, Sijie J. ;
Chen, Qixin X. ;
Xia, Qing ;
Kang, Chongqing Q. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2013, 7 (03) :288-297
[8]   Cascading of fluctuations in interdependent energy infrastructures: Gas-grid coupling [J].
Chertkov, Michael ;
Backhaus, Scott ;
Lebedev, Vladimir .
APPLIED ENERGY, 2015, 160 :541-551
[9]   Feasible Region of Optimal Power Flow: Characterization and Applications [J].
Chiang, Hsiao-Dong ;
Jiang, Chu-Yang .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (01) :236-244
[10]   Integrated Power and Natural Gas Model for Energy Adequacy in Short-Term Operation [J].
Correa-Posada, Carlos M. ;
Sanchez-Martin, Pedro .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (06) :3347-3355