Research on Grid Structural Vulnerability Based on Optimal Branch Limit
Liu Qunying1, Liu Junyong2, Liu Qifang3, Shi Jili4
1. University of Electronic Science and Technology Chengdu 610054 2. Sichuan University Chengdu 610065 China 3. Guodian Sichuan Ashine Hydropower Development Co. Ltd Chengdu 610015 China 4. Guangzhou Pumped Storage Power Station Conghua 510950 China
Abstract:According to the relationships among the change of generator production, energy margin and change of branch power flow, with the impact factor of the change of generator production on current as the basis, the combination of production change of all generators and the upper and lower limits of branch restriction are first computed by the non-linear programming. And then, based on the branch restriction, the assessment indexes of branch vulnerability are founded. At last, the validity and feasibility of this method is identified by the comparison of simulation results with optimal power flow in IEEE-30 bus system. One of the advantages of this research is that the upper and lower limits of branch restriction can be updated timely. In addition, because of the synthetical efficiency of multi-generators, the branch vulnerable characteristics may not change with the common trend. Therefore, when the energy margin is used to compute the branch limit, the branch power flow is admitted to change with the unspecific generator. As a result, it is helpful to further research the branch vulnerability.
刘群英, 刘俊勇, 刘起方, 史继莉. 支路约束优化下的电网结构脆弱性研究[J]. 电工技术学报, 2011, 26(3): 148-154.
Liu Qunying, Liu Junyong, Liu Qifang, Shi Jili. Research on Grid Structural Vulnerability Based on Optimal Branch Limit. Transactions of China Electrotechnical Society, 2011, 26(3): 148-154.
[1] Qin Z, Davidson J, Fouad A A. Application of artificial neural networks in power system security and vulnerability assessment[J]. IEEE Transactions on Power System, 1994, 9(1): 525-532. [2] Fouad A A, Qin Z, Vittal V. System vulnerability as a concept to assess power system dynamic security[J]. IEEE Transactions on Power Systems, 1994, 9(2): 1009- 1015. [3] 蔡国伟, 穆刚, K W Chan, 等. 基于网络信息的暂态稳定性定量分析& #x02014; & #x02014; 支路势能法[J]. 中国电机工程学报, 2004, 24(5): 1-6. Cai Guowei, Mu Gang, Chan K W, et al. Branch potential energy method for power system transient stability assessment based on network dynamic variables[J]. Proceedings of the CSEE, 2004, 24(5): 1-6. [4] Yu X B, Singh C. A practical approach for integrated power system vulnerability analysis with protection failures[J]. IEEE Transactions on Power Systems, 2004, 19(4): 1811-1820. [5] 陈为化, 江全元, 曹一家, 等. 基于风险理论的复杂电力系统脆弱性评估[J].电网技术, 2005, 29(4):12-17. Chen Weihua, Jiang Quanyuan, Cao Yijia, et al. HVDC system vulnerability assessment based on models combination and risk thoery[J]. Power System Technology, 2005, 29(4): 12-17. [6] Doorman G L, Uhlen K, Kjolle G, et al. Vulnerability analysis of the Nordic power system[J]. IEEE Transactions on Power Systems, 2006, 21(1): 402- 410. [7] 曹一家, 陈晓刚, 孙可. 基于复杂网络理论的大型电力系统脆弱线路辨识[J]. 电力自动化设备, 2006, 26(12): 1-5 Cao Yijia, Chen Xiaogang, Sun Ke. Identification of vulnerable lines in power grid based on complex network theory[J]. Electric Power Automation Equipment, 2006, 26(12): 1-5. [8] 陈晓刚, 孙可, 曹一家. 基于复杂网络理论的大电网结构脆弱性分析[J]. 电工技术学报, 2007, 22(10): 138-144. Chen Xiaogang, Sun Ke, Cao Yijia. Structural vulnerability analysis of large power grid based on complex network theory[J]. Transactions of China Electrotechnical Society, 2007, 22(10): 138-144. [9] 丁明, 韩平平. 基于小世界拓扑模型的大型电网脆弱性评估算法[J].电力系统自动化, 2006, 30(8):7-10. Ding Ming, Han Pingping. Vulnerability assessment to small-world power grid based on weighted topological model[J]. Automation of Electric Power System, 2006, 30(8): 7-10. [10] 丁明, 韩平平. 加权拓扑模型下的小世界电网脆弱性评估[J]. 中国电机工程学报, 2008, 28(10):20-25. Ding Ming, Han Pingping. Vulnerability assessment to small-world power grid based on weighted topological model[J]. Proceedings of the CSEE, 2008, 28(10):20-25. [11] 丁剑, 白晓民, 赵伟, 等. 基于二维平面拟合的电网脆弱性分析[J]. 电力系统自动化, 2008, 32(8): 1-4. Ding Jian, Bai Xiaoming, Zhao Wei, et al. Grid vulnerability analysis based on two-dimensional accumulation means[J]. Automation of Electric Power System, 2008, 32(8): 1-4. [12] Sauer P W. On the formulation of power distribution factors for linear load methods[J]. IEEE Transactions on Power Apparatus and System, 1981, PAS-100(2): 764-770. [13] Vittal V, Gleason J L. Determination of transient stability constrained line flow limits: an application of linearized technique for the transient energy function method[C]. Power Symposium, Proceedings of the Twenty-First Annual North-American, 1989: 142-150. [14] Wu Y C, Debs A S, Marsten R E. A direct nonlinear predictor-corrector primal-dual interior point algorithm for optimal power flow[J]. IEEE Transactions on Power Systems, 1994, 9(2): 876-883.