General Algorithm for Exploring Security Region Boundary in Power Systems Using Lagrange Multiplier

被引：0

作者：

Li X. ^{[1
]}

Zhang L. ^{[1
]}

Jiang T. ^{[1
]}

Chen H. ^{[1
]}

Li G. ^{[1
]}

机构：

[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2021年 / 41卷 / 15期

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

Boundary tracking; Lagrange multiplier method; Optimization model; Security region boundary;

D O I：

10.13334/j.0258-8013.pcsee.200860

中图分类号：

学科分类号：

摘要：

To enhance the computational efficiency of the security region (SR) in bulk power systems, this paper developed a general model for exploring the security region boundary(SRB)in bulk power grids by using Lagrange multiplier(LM). According to the security characteristic of the power systems that the steady-state security problems in the bulk power systems are dominated by a limited number of critical branches and buses, the high-dimensional SR in the power system was reduced and simplified; then a general optimization model for exploring the SR points was constructed. In order to overcome the complicated iterative process of optional power flow (OPF), the Lagrange multiplier method was introduced to solve the optimization model to explore the SRB points. Further, a set of the SRB points was tracked through the boundary tracing strategy to improve the computational efficiency of the SRB tracking by using the topological characteristics of the SRB. The IEEE14-bus and European 9241-bus test cases were used to evaluate the performance of the proposed method. The results confirm that the proposed Lagrange multiplier based general algorithm performs great computational accuracy and efficiency for tracking the SRB in the bulk power grids. © 2021 Chin. Soc. for Elec. Eng.

引用

页码：5139 / 5152

页数：13

共 29 条

[1] CHEN Gang, BAO Yan, ZHAO Jinquan, Et al., Probabilistic voltage stability assessment of large power grid considering stochastic load growth, Power System Protection and Control, 46, 23, pp. 37-44, (2018)
[2] DING Ming, WANG Weisheng, WANG Xiuli, Et al., A review on the effect of large-scale PV generation on power systems, Proceedings of the CSEE, 34, 1, pp. 1-14, (2014)
[3] QIN Chao, LIU Yanli, YU Yixin, Et al., Dynamicsecurity region of power systems with double fed induction generator, Transactions of China Electrotechnical Society, 30, 18, pp. 157-163, (2015)
[4] XUE Yusheng, LEI Xing, XUE Feng, Et al., A review on impacts of wind power uncertainties on power systems, Proceedings of the CSEE, 34, 29, pp. 5029-5040, (2014)
[5] YANG Tiankai, YU Yixin, Steady-state security region-based voltage/var optimization considering power injection uncertainties in distribution grids, IEEE Transactions on Smart Grid, 10, 3, pp. 2904-2911, (2019)
[6] LI Xue, TIAN Guoda, SHI Qingxin, Et al., Security region of natural gas network in electricity-gas integrated energy system, International Journal of Electrical Power &Energy Systems, 117, (2020)
[7] YANG Ming, CHENG Fenglu, HAN Xueshan, Real-time dispatch based on effective steady-state security regions of power system, Proceedings of the CSEE, 35, 6, pp. 1353-1362, (2015)
[8] MAKAROV Y V, DU Pengwei, LU Shuai, Et al., PMU-based wide-area security assessment: concept, method, and implementation, IEEE Transactions on Smart Grid, 3, 3, pp. 1325-1332, (2012)
[9] JIANG Tao, ZHANG Mingyu, LI Xue, Et al., A novel algorithm to explore static voltage stability region boundary in power systems, Proceedings of the CSEE, 38, 14, pp. 4126-4137, (2018)
[10] JIANG Tong, WAN Kaiyao, FENG Zhuocheng, Boundary-derivative direct method for computing saddle node bifurcation points in voltage stability analysis, International Journal of Electrical Power & Energy Systems, 112, pp. 199-208, (2019)

← 1 2 3 →