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

被引:92
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
  • [21] Look Ahead Robust Scheduling of Wind-Thermal System With Considering Natural Gas Congestion
    Liu, Cong
    Lee, Changhyeok
    Shahidehpour, Mohammad
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (01) : 544 - 545
  • [22] Probabilistic steady-state and dynamic security assessment of power transmission system
    Liu YanLi
    Yu YiXin
    [J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2013, 56 (05) : 1198 - 1207
  • [23] Lofberg J., 2004, 2004 IEEE International Symposium on Computer Aided Control Systems Design (IEEE Cat. No.04TH8770), P284, DOI 10.1109/CACSD.2004.1393890
  • [24] Okumoto Y., 2012, P IEEE PES INN SMART, P1
  • [25] Osiadacz A.J., 1987, Simulation and Analysis of Gas Networks
  • [26] SAInt - A novel quasi-dynamic model for assessing security of supply in coupled gas and electricity transmission networks
    Pambour, Kwabena Addo
    Erdener, Burcin Cakir
    Bolado-Lavin, Ricardo
    Dijkema, Gerard P. J.
    [J]. APPLIED ENERGY, 2017, 203 : 829 - 857
  • [27] Wind Energy: Forecasting Challenges for Its Operational Management
    Pinson, Pierre
    [J]. STATISTICAL SCIENCE, 2013, 28 (04) : 564 - 585
  • [28] From Probabilistic Forecasts to Statistical Scenarios of Short-term Wind Power Production
    Pinson, Pierre
    Madsen, Henrik
    Nielsen, Henrik Aa.
    Papaefthymiou, George
    Kloeckl, Bernd
    [J]. WIND ENERGY, 2009, 12 (01) : 51 - 62
  • [29] Multi-period integrated natural gas and electric power system probabilistic optimal power flow incorporating power-to-gas units
    Sun, Guoqiang
    Chen, Shuang
    Wei, Zhinong
    Chen, Sheng
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2017, 5 (03) : 412 - 423
  • [30] Convex Optimization Based Distributed Optimal Gas-Power Flow Calculation
    Wang, Cheng
    Wei, Wei
    Wang, Jianhui
    Bai, Linquan
    Liang, Yile
    Bi, Tianshu
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (03) : 1145 - 1156