基于直流潮流的发输电系统区间负荷N-K事故计算

doi:10.11930/j.issn.1004-9649.201806152

中国电力 ›› 2019, Vol. 52 ›› Issue (8): 45-54.DOI: 10.11930/j.issn.1004-9649.201806152

基于直流潮流的发输电系统区间负荷N-K事故计算

洪绍云¹, 邢海军², 程浩忠³

1. 国网江西省电力有限公司建设分公司, 江西南昌 330000;
2. 上海电力学院, 上海 200090;
3. 电力传输与功率变换控制教育部重点实验室(上海交通大学), 上海 200240

收稿日期:2018-07-03 修回日期:2018-12-13 发布日期:2019-08-14
通讯作者: 洪绍云(1983-),男,通信作者,博士,从事电力系统优化计算、综合能源系统建模及其应用、电力市场等研究,E-mail:ecjtuh@163.com
作者简介:邢海军(1979-),男,博士,从事配电网规划运行、智能电网、综合能源系统等研究,E-mail:xinghj-601@126.com;程浩忠(1962-),男,教授,从事电力系统系统、电压稳定、电能质量等研究,E-mail:hzcheng@sjtu.edu.cn
基金资助:
国家重点研发计划资助项目（2016YB0900102）。

Evaluation of Interval Load N-K Contingency of Power System Based on DC Power Flow

HONG Shaoyun¹, XING Haijun², CHENG Haozhong³

1. Construction Branch of State Grid Jiangxi Electric Power Co. Ltd., Nanchang 330000, China;
2. Shanghai University of Electric Power, Shanghai 200090, China;
3. Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China

Received:2018-07-03 Revised:2018-12-13 Published:2019-08-14
Supported by:
This work is supported by National Key Research and Development Plan of China (No.2016YB0900102).

摘要/Abstract

摘要： 从严格数学角度研究了基于直流潮流的发输电系统区间负荷K个元件事故评估。区间负荷N-K事故场景非常多，首先从优化角度建立了区间负荷N-K最好状态和最坏状态最小切负荷模型，其中最坏状态模型是典型的双层优化模型，上层决策变量是机组、线路和负荷状态，下层模型是直流潮流的最小切负荷模型。然后，使用强对偶理论和数学等效化简方法，把系统N-K区间负荷最坏状态最小切负荷双层优化模型转化为混合整数线性规划模型，该模型可使用成熟优化软件求解。最后，使用IEEE标准算例，测试了考虑区间负荷、机组和线路（或变压器）故障的区间负荷N-K事故最坏状态评估模型，测试结果显示了本文所提方法的有效性和可行性。

关键词: 区间负荷, N–K事故, 切负荷, 双层线性规划, 混合整数线性规划

Abstract: From the rigorous mathematical point of view,this paper evaluate K components of contingencies for generation and transmission system,which based on DC power flow system. There are many N-K contingent scenarios of interval load. In this paper, the optimal state and the minimum state with minimum load model of the N-K interval load are established from the optimization perspective. According to this, a bi-level optimization model is proposed for minimum load shedding of the worst state of power system considering generating unit contingency and interval load. The upper decision variables of the model is the state of units, lines and loads. The lower layer of the bi-level model is the minimum load shedding model based on DC power flow. In order to solve this model, the papers transforms the bi-level model to a mixed integer linear programming (MILP) by strong duality theory and linearized method. Finally, An IEEE standard system is used to testify the validity of the proposed model, in which the worst N-K case evaluation model of interval loads, units and lines (or transformers) faults are fully tested. Numerical results indicate that the method proposed in this paper is feasible and effective.

Key words: interval load, N–K contingency, load shedding, bi-level linear optimization, mixed integer linear programming

中图分类号:

TM715

洪绍云, 邢海军, 程浩忠. 基于直流潮流的发输电系统区间负荷N-K事故计算[J]. 中国电力, 2019, 52(8): 45-54.

HONG Shaoyun, XING Haijun, CHENG Haozhong. Evaluation of Interval Load N-K Contingency of Power System Based on DC Power Flow[J]. Electric Power, 2019, 52(8): 45-54.

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参考文献

[1] LI W. Risk assessment of power systems:models, methods, and applicaitons[M]. Hoboken, NJ, USA:Wiley-IEEE, 2014.
[2] YOUWEI J, KE M, ZHAO X. N-k induced cascading contingency screening[J]. IEEE Transactions on Power Systems, 2015, 30(5):2824-2825.
[3] SING P W, CHEN A, CHIH W L, et al. Efficient splitting simulation for blackout analysis[J]. IEEE Transactions on Power Systems, 2015, 30(4):1775-1783.
[4] 徐林, 黄晓莉, 杜忠明, 等. 适应新能源发展的电力规划方法研究[J]. 中国电力, 2017, 50(9):18-24 XU Lin, HUANG Xiaoli, DU Zhongming, et al. Study on power system planning method adapting to new energy development[J]. Electric Power, 2017, 50(9):18-24
[5] 娄素华, 王亚娟, 卢斯煜, 等. 市场环境下考虑风险成本的启发式输电网规划[J]. 中国电力, 2015, 48(7):76-81 LOU Suhua, WANG Yajuan, LU Siyu, et al. Research on transmission network planning model based on risk cost under market environment[J]. Electric Power, 2015, 48(7):76-81
[6] WANG J, ZHONG H, XIA Q, et al. Transmission network expansion planning with embedded constraints of short circuit currents and N-1 security[J]. Journal of Modern Power Systems and Clean Energy, 2015, 3(3):312-320.
[7] DAVIS C M, OVERBYE T J. Multiple element contingency screening[J]. IEEE Transactions on Power Systems, 2011, 26(3):1294-1301.
[8] YANG X, LIU C, WANG J. Large-scale branch contingency analysis through master/slave parallel computing[J]. Journal of Modern Power Systems and Clean Energy, 2013, 1(2):159-166.
[9] 王毅, 张轩, 董毅峰, 等. 计及自动装置模拟的连锁过载跳闸静态安全分析方法[J]. 中国电力, 2014, 47(6):38-42 WANG Yi, ZHANG Xuan, DONG Yifeng, et al. A static security analysis method for cascading overload trips considering automatic device simulation[J]. Electric Power, 2014, 47(6):38-42
[10] 於益军, 刘俊, 冯树海, 等. 基于开断灵敏度的静态安全分析辅助决策[J]. 中国电力, 2013, 46(3):53-58 YU Yijun, LIU Jun, FENG Shuhai, et al. Assistant decision-making for static security analysis based on outage sensitivity[J]. Electric Power, 2013, 46(3):53-58
[11] PENG W, HAOZHONG C, JIE X. The interval minimum load cutting problem in the process of transmission network expansion planning considering uncertainty in demand[J]. IEEE Transactions on Power Systems, 2008, 23(3):1497-1506.
[12] DONDE V, LOPEZ V, LESIEUTRE B, et al. Severe multiple contingency screening in electric power systems[J]. IEEE Transactions on Power Systems, 2008, 23(2):406-417.
[13] ARROYO J M. Bilevel programming applied to power system vulnerability analysis under multiple contingencies[J]. IET Generation, Transmission & Distribution, 2010, 4(2):178.
[14] FLISCOUNAKIS S, PANCIATICI P, CAPITANESCU F, et al. Contingency ranking with respect to overloads in very large power systems taking into account uncertainty, preventive, and corrective actions[J]. IEEE Transactions on Power Systems, 2013, 28(4):4909-4917.
[15] 武鹏, 程浩忠, 屈刚. 电网规划中区间最小切负荷量的计算方法[J]. 中国电机工程学报, 2008, 28(22):41-46 WU Peng, CHENG Haozhong, QU Gang. Algorithm to solve interval minimum load cutting problem for transmission planning[J]. Proceedings of the CSEE, 2008, 28(22):41-46
[16] 武鹏. 考虑不确定因素的输电网灵活规划方法研究[D]. 上海交通大学, 2009.
[17] COLSON B, MARCOTTE P, SAVARD G. An overview of bilevel optimization[J]. Annals of Operations Research, 2007, 153(1):235-256.
[18] JAMES T. MOORE J F B. The mixed integer linear bilevel programming problem[J]. Operations Research, 1990, 38(5):911-921.
[19] BARINGO L, CONEJO A J. Transmission and wind power investment[J]. IEEE Transactions on Power Systems, 2012, 27(2):885-893.
[20] JIN S, RYAN S M. A tri-level model of centralized transmission and decentralized generation expansion planning for an electricity market-part I[J]. IEEE Transactions on Power Systems, 2014, 29(1):132-141.
[21] POZO D, SAUMA E E, CONTRERAS J. A three-level static MILP model for generation and transmission expansion planning[J]. IEEE Transactions on Power Systems, 2013, 28(1):202-210.
[22] SUBCOMMITTEE P M. IEEE reliability test system[J]. IEEE Transactions on Power Apparatus and Systems, 1979, PAS-98(6):2047-2054.
[23] 何天雨, 卫志农, 孙国强, 等. 基于网损等值负荷模型的改进直流最优潮流算法[J]. 电力系统自动化, 2016, 40(6):58-64 HE Tianyu, WEI Zhinong, SUN Guoqiang, et al. Modified direct current optimal power flow algorithm based on net loss equivalent load model[J]. Automation of Electric Power Systems, 2016, 40(6):58-64

基于直流潮流的发输电系统区间负荷N-K事故计算

Evaluation of Interval Load N-K Contingency of Power System Based on DC Power Flow

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基于直流潮流的发输电系统区间负荷N-K事故计算

Evaluation of Interval Load N-K Contingency of Power System Based on DC Power Flow

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