Preventive Control Strategy of Cascading Failure Considering Security and Economy

doi:10.12204/j.issn.1000-7229.2022.05.011

Abstract

Abstract:

To prevent the security problem of cascading failures caused by source faults, this paper proposes a preventative control strategy of cascading failure considering security and the economy. Firstly, according to the action characteristics of the relay protection, a mathematical form is given to discriminate the cascading failure. Secondly, the security and economy of the system are evaluated in terms of power grid security margin and operating cost of power generation, respectively. The initial failure is selected by the branch vulnerability assessment method to construct a preventive control model of cascading failure for different initial failures actions. The model is a two-layer optimization mathematical model. The inner model is solved by the particle swarm optimization algorithm to get the power grid security margin. The outer model is solved by the improved multi-objective particle swarm optimization algorithm to minimize generation cost and maximize power grid security margin. Finally, the calculated Pareto set is evaluated using fuzzy set theory to determine the optimal output strategy of generators. Simulation studies are conducted with the IEEE 39-bus system and IEEE 118-bus system to verify the feasibility of the proposed method in this paper.

Key words: power system, cascading failure, security, economy, preventive control

CLC Number:

TM711

DENG Huiqiong, LUO Jie, WANG Xiaoming, LIU Hao, LI Peiqiang, LI Chenchen. Preventive Control Strategy of Cascading Failure Considering Security and Economy[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(5): 100-108.

Figures/Tables 12

Fig.1 Security margin of the power grid for cascading failure

Fig.2 Flowchart of the algorithm

Table 1 Cluster center of IEEE 39 bus

Table 2 Vulnerable branches of IEEE 39 bus system

Fig.3 POF from IEEE 39 bus system

Table 3 Optimization results of preventive control in IEEE 39 bus system MW

Table 4 Comparison results before and after preventive control pu

Table 5 Cluster center of IEEE 118 bus system

Table 6 Vulnerable branches of IEEE 118 bus system

Fig.4 POF from IEEE 118 bus system

Table 7 Optimization results of preventive control in IEEE 118 bus system MW

Table 8 Comparison results before and after preventive control pu

References 23

[1]	龚媛, 梅生伟, 张雪敏, 等. 考虑电力系统规划的OPA模型及自组织临界特性分析[J]. 电网技术, 2014, 38(8): 2021-2028.
	GONG Yuan, MEI Shengwei, ZHANG Xuemin, et al. An improved OPA model considering planning and self-organized criticality analysis[J]. Power System Technology, 2014, 38(8): 2021-2028.
[2]	张颖, 顾雪平, 王涛, 等. 考虑薄弱成因的电网脆弱线路分类与类别辨识[J]. 电测与仪表, 2020, 57(15): 71-79.
	ZHANG Ying, GU Xueping, WANG Tao, et al. Category identification of power grid vulnerable lines based on the vulnerable causes[J]. Electrical Measurement & Instrumentation, 2020, 57(15): 71-79.
[3]	张晶晶, 陈博进, 尉静慧, 等. 一种交直流系统连锁故障预测方法及风险评估[J]. 电力系统保护与控制, 2021, 49(4): 125-132.
	ZHANG Jingjing, CHEN Bojin, WEI Jinghui, et al. AC-DC system cascading failure simulation method and risk assessment[J]. Power System Protection and Control, 2021, 49(4): 125-132.
[4]	丁明, 过羿, 张晶晶, 等. 基于效用风险熵权模糊综合评判的复杂电网节点脆弱性评估[J]. 电工技术学报, 2015, 30(3): 214-223.
	DING Ming, GUO Yi, ZHANG Jingjing, et al. Node vulnerability assessment for complex power grids based on effect risk entropy-weighted fuzzy comprehensive evaluation[J]. Transactions of China Electrotechnical Society, 2015, 30(3): 214-223.
[5]	DAVID A E, GJORGIEV B, SANSAVINI G. Quantitative comparison of cascading failure models for risk-based decision making in power systems[J]. Reliability Engineering & System Safety, 2020, 198: 106877. doi: 10.1016/j.ress.2020.106877 URL
[6]	李文博, 朱元振, 刘玉田. 交直流混联系统连锁故障搜索模型及故障关联分析[J]. 电力系统自动化, 2018, 42(22): 59-68.
	LI Wenbo, ZHU Yuanzhen, LIU Yutian. Search model and correlation analysis for cascading failures in AC/DC hybrid power system[J]. Automation of Electric Power Systems, 2018, 42(22): 59-68.
[7]	许婧, 白晓民, 黄镔. 应对连锁故障的广域协同预控制系统研究[J]. 电网技术, 2013, 37(1): 131-136.
	XU Jing, BAI Xiaomin, HUANG Bin. Research on wide area cooperative precontrol system for cascading failure[J]. Power System Technology, 2013, 37(1): 131-136.
[8]	刘文颖, 王佳明, 谢昶, 等. 基于不完全信息多阶段对策的复杂电网连锁故障防御模型[J]. 电网技术, 2013, 37(4): 1005-1011.
	LIU Wenying, WANG Jiaming, XIE Chang, et al. A model to defense cascading failures in complex power grid based on multistage games with incomplete information[J]. Power System Technology, 2013, 37(4): 1005-1011.
[9]	丁明, 钱宇骋, 张晶晶, 等. 考虑有限理性的电力系统连锁故障多阶段动态博弈防御模型[J]. 电力自动化设备, 2017, 37(2): 69-74, 82.
	DING Ming, QIAN Yucheng, ZHANG Jingjing, et al. Defence model based on multistage dynamic game with consideration of bounded rationality against power system cascading failure[J]. Electric Power Automation Equipment, 2017, 37(2): 69-74, 82.
[10]	刘邓. 基于事故链的风险评估及预防控制研究[D]. 沈阳: 东北大学, 2017.
	LIU Deng. Risk assessment and prevention control based on fault chains[D]. Shenyang: Northeastern University, 2017.
[11]	张晶晶, 杨洋, 李小燕, 等. 考虑安全和经济的电力系统连锁故障协调控制模型[J]. 中国电机工程学报, 2018, 38(16): 4784-4791, 4983.
	ZHANG Jingjing, YANG Yang, LI Xiaoyan, et al. Coordinated control model of power system cascading failure considering security and economy[J]. Proceedings of the CSEE, 2018, 38(16): 4784-4791, 4983.
[12]	杨超平, 姚锐, 张爽, 等. 协调运行经济性与安全性的电力系统连锁故障风险控制方法[J]. 电工电能新技术, 2017, 36(12): 71-78.
	YANG Chaoping, YAO Rui, ZHANG Shuang, et al. Cascading outage risk mitigation method coordinating economy and security in power systems[J]. Advanced Technology of Electrical Engineering and Energy, 2017, 36(12): 71-78.
[13]	倪良华, 闻佳妍, 张晓莲, 等. 基于受冲击与断开后果脆弱度的电网关键线路识别[J]. 电力系统保护与控制, 2020, 48(1): 81-87.
	NI Lianghua, WEN Jiayan, ZHANG Xiaolian, et al. Critical lines identification in power grid based on vulnerability of line under impact and disconnection consequence[J]. Power System Protection and Control, 2020, 48(1): 81-87.
[14]	朱大锐, 王睿, 段建东, 等. 考虑多影响因素的关键输电线路辨识[J]. 中国电机工程学报, 2019, 39(20): 5938-5947, 6174.
	ZHU Darui, WANG Rui, DUAN Jiandong, et al. Identification of critical transmission lines considering multiple influencing factors[J]. Proceedings of the CSEE, 2019, 39(20): 5938-5947, 6174.
[15]	熊世旺, 郭创新, 何宇斌, 等. 考虑线路介数和well-being风险贡献度的电网脆弱线路评估[J]. 电力建设, 2015, 36(12): 84-90.
	XIONG Shiwang, GUO Chuangxin, HE Yubin, et al. Vulnerable line evaluation in power grid considering line betweenness and well-being risk contribution degree[J]. Electric Power Construction, 2015, 36(12): 84-90.
[16]	刘小丽, 毛弋, 梁杉, 等. 基于综合介数的电网脆弱线路辨识[J]. 电力系统保护与控制, 2016, 44(2): 116-121.
	LIU Xiaoli, MAO Yi, LIANG Shan, et al. Identification of vulnerable lines in power grid based on comprehensive betweenness index[J]. Power System Protection and Control, 2016, 44(2): 116-121.
[17]	邓燕国, 王冰, 曹智杰, 等. 基于熵权法与GRA-ELM的配电网空间负荷预测[J]. 电力工程技术, 2021, 40(4): 136-141.
	DENG Yanguo, WANG Bing, CAO Zhijie, et al. Spatial load forecasting of distribution network based on entropy weight method and GRA-ELM[J]. Electric Power Engineering Technology, 2021, 40(4): 136-141.
[18]	徐青山, 吕亚娟, 孙虹, 等. 大用户多维度可中断特性精细化分析[J]. 电工技术学报, 2020, 35(S1): 284-293.
	XU Qingshan, LÜ Yajuan, SUN Hong, et al. Refined analysis of large-consumers’ interruptible features from multi-dimension[J]. Transactions of China Electrotechnical Society, 2020, 35(S1): 284-293.
[19]	DENG H Q, LI Q B, WU J Y, et al. Research on the method of observing the safety level of the grid cascading trip based on node injection power[J]. Electric Power Systems Research, 2021, 199: 107456. doi: 10.1016/j.epsr.2021.107456 URL
[20]	陈若尘, 张英敏, 刘麒麟, 等. 基于粒子群算法的直流系统网架结构优化设计[J]. 电力系统保护与控制, 2021, 49(5): 165-172.
	CHEN Ruochen, ZHANG Yingmin, LIU Qilin, et al. Optimal design of grid structure in a DC system based on a PSO algorithm[J]. Power System Protection and Control, 2021, 49(5): 165-172.
[21]	徐基光. 自适应网格密度改进粒子群算法在多目标无功优化中的应用[J]. 电网与清洁能源, 2017, 33(2): 21-25.
	XU Jiguang. Improved particle swarm optimization algorithm based on adaptive grid density and its application on multi-objective reactive power optimization[J]. Power System and Clean Energy, 2017, 33(2): 21-25.
[22]	SRIVASTAVA P, CORTÉS J. Nesterov acceleration for equality-constrained convex optimization via continuously differentiable penalty functions[J]. IEEE Control Systems Letters, 2021, 5(2): 415-420.
[23]	刘若河, 贾燕冰, 付可宁, 等. 计及风险备用约束的输电网风储容量双层优化[J]. 电网技术, 2021, 45(7): 2741-2752.
	LIU Ruohe, JIA Yanbing, FU Kening, et al. Double-layer optimization for wind and energy storage capacity configuration in transmission network considering security reserve constraints[J]. Power System Technology, 2021, 45(7): 2741-2752.