Analysis for Coupling Characteristic and Weakness of “Source-Network-Load” Under Ice Storms

XIE Yigong, WU Chen, HUANG Qianqian, FANG Sidun

Electric Power Construction ›› 0

PDF(809 KB)
PDF(809 KB)
Electric Power Construction ›› 0

Analysis for Coupling Characteristic and Weakness of “Source-Network-Load” Under Ice Storms

  • XIE Yigong1, WU Chen2, HUANG Qianqian3, FANG Sidun3
Author information +
History +

Abstract

[Objective] Under extreme ice disaster weather conditions,the power generation capacity of wind and solar energy experiences a drastic decline,while the probability of power equipment failures increases significantly,leading to severe supply-demand imbalances persisting for multiple days. In order to analyze the complex interdependent relationships among source-grid-load components in high-penetration renewable energy systems during ice storms and identify vulnerable nodes prone to failure propagation,this paper investigates the temporal-spatial distribution patterns,correlations,and stochastic characteristics of source-grid-load systems under ice disaster conditions. The study reveals probabilistic features of both power supply and demand sides,establishing a probabilistic model for source-grid-load systems that incorporates key ice disaster impact factors. [Methods] Based on nonlinear dynamic system theory,we propose three novel indicators:passive/active voltage fluctuation indices for grid nodes,a composite network fluctuation index,and a node voltage violation index. A dynamic impedance matrix and source-load frequency coupling coefficient are introduced to develop an analytical framework for assessing source-grid-load coupling characteristics and vulnerability under ice disaster scenarios. This methodology enables systematic investigation of the synergistic evolution mechanisms and variation patterns within source-grid-load systems during ice events. [Results] Case studies using the modified IEEE 39-node system and a regional grid demonstrate that system-wide passive/active fluctuation indices progressively increase with enhanced nodal interdependencies. The amplified coupling effects from renewable energy fluctuations under ice storms substantially degrade grid resilience. [Conclusions] The proposed approach effectively reveals dynamic evolution patterns of source-grid-load coupling characteristics and identifies critical vulnerable nodes,providing an effective tool for in-depth research on operational characteristics and optimal dispatch strategies for power systems under ice disaster conditions.

Key words

power system / ice disaster / dynamic impedance / electrical coupling

Cite this article

Download Citations
XIE Yigong, WU Chen, HUANG Qianqian, FANG Sidun. Analysis for Coupling Characteristic and Weakness of “Source-Network-Load” Under Ice Storms[J]. Electric Power Construction. 0

References

[1] 鞠冠章, 王靖然, 崔琛, 等. 极端天气事件对新能源发电和电网运行影响研究[J]. 智慧电力, 2022, 50(11): 77-83.
JU Guanzhang, WANG Jingran, CUI Chen, et al.Impact of extreme weather events on new energy power generation and power grid operation[J]. Smart Power, 2022, 50(11): 77-83.
[2] 李明节, 陈国平, 董存, 等. 新能源电力系统电力电量平衡问题研究[J]. 电网技术, 2019, 43(11): 3979-3986.
LI Mingjie, CHEN Guoping, DONG Cun, et al.Research on power balance of high proportion renewable energy system[J]. Power System Technology, 2019, 43(11): 3979-3986.
[3] 鲁宗相, 李海波, 乔颖. 高比例可再生能源并网的电力系统灵活性评价与平衡机理[J]. 中国电机工程学报, 2017, 37(1): 9-20.
LU Zongxiang, LI Haibo, QIAO Ying.Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity[J]. Proceedings of the CSEE, 2017, 37(1): 9-20.
[4] 李锦煜, 刘锐剑, 周朝阳, 等. 我国能源安全形势技术分析[J]. 电力工程技术, 2023, 42(6): 249-255.
LI Jinyu, LIU Ruijian, ZHOU Chaoyang, et al.Technical analysis of China’s energy security situation[J]. Electric Power Engineering Technology, 2023, 42(6): 249-255.
[5] 付聪, 杨韵, 钱峰, 等. 考虑灾害天气的线路安全风险评估及应用[J]. 广东电力, 2022, 35(8): 69-75.
FU Cong, YANG Yun, QIAN Feng, et al.Line safety risk assessment considering disastrous weather and its application[J]. Guangdong Electric Power, 2022, 35(8): 69-75.
[6] 郭峰, 王悦, 陆鑫, 等. 含高比例风电的新型电力系统的经济运行及储能配置[J]. 智慧电力, 2023, 51(11): 76-82.
GUO Feng, WANG Yue, LU Xin, et al.Economic operation and energy storage configuration of new power system with high penetration of wind power[J]. Smart Power, 2023, 51(11): 76-82.
[7] 解佗, 孙丹阳, 张刚, 等. 计及风光不确定性的风-光-光热联合发电系统中光热电站储热容量优化配置[J]. 智慧电力, 2024, 52(2): 32-39.
XIE Tuo, SUN Danyang, ZHANG Gang, et al.Optimal capacity configuration of thermal storage within CSP plant in wind-PV-CSP hybrid power generation system considering uncertainty of wind and photovoltaic power[J]. Smart Power, 2024, 52(2): 32-39.
[8] 许守东, 王建, 李铭益, 等. 极端气象灾害下考虑MESS主动调控的配电网故障恢复策略[J]. 电力系统保护与控制, 2024, 52(12): 45-57.
XU Shoudong, WANG Jian, LI Mingyi, et al.Distribution network fault recovery strategy considering active control of an MESS in extreme weather[J]. Power System Protection and Control, 2024, 52(12): 45-57.
[9] 侯祖锋, 王超, 徐春华, 等. 考虑负荷重要程度的配电网韧性提升策略及评估方法[J]. 电力科学与技术学报, 2024, 39(3): 78-85.
HOU Zufeng, WANG Chao, XU Chunhua, et al.Promotion strategy and evaluation method of distribution network resilience considering load importance[J]. Journal of Electric Power Science and Technology, 2024, 39(3): 78-85.
[10] 郭明鑫, 李少岩, 顾雪平. 计及台风灾害全过程模拟的配电网差异化加固规划韧性提升方法[J]. 电力系统保护与控制, 2024, 52(3): 62-73.
GUO Mingxin, LI Shaoyan, GU Xueping.Differentiated reinforcement planning method for a distribution network considering simulation of the whole process of typhoon disasters[J]. Power System Protection and Control, 2024, 52(3): 62-73.
[11] 陈国平, 李明节, 董昱, 等. 构建新型电力系统仿真体系研究[J]. 中国电机工程学报, 2023, 43(17): 6535-6551.
CHEN Guoping, LI Mingjie, DONG Yu, et al.Research on the simulation technology architecture for the new-type power system[J]. Proceedings of the CSEE, 2023, 43(17): 6535-6551.
[12] 汤广福, 周静, 庞辉, 等. 能源安全格局下新型电力系统发展战略框架[J]. 中国工程科学, 2023, 25(2): 79-88.
TANG Guangfu, ZHOU Jing, PANG Hui, et al.Strategic framework for new electric power system development under the energy security pattern[J]. Strategic Study of CAE, 2023, 25(2): 79-88.
[13] 王伟胜, 林伟芳, 何国庆, 等. 美国得州2021年大停电事故对我国新能源发展的启示[J]. 中国电机工程学报, 2021, 41(12): 4033-4043.
WANG Weisheng, LIN Weifang, HE Guoqing, et al.Enlightenment of 2021 Texas blackout to the renewable energy development in China[J]. Proceedings of the CSEE, 2021, 41(12): 4033-4043.
[14] 钟海旺, 张广伦, 程通, 等. 美国得州2021年极寒天气停电事故分析及启示[J]. 电力系统自动化, 2022, 46(6): 1-9.
ZHONG Haiwang, ZHANG Guanglun, CHENG Tong, et al.Analysis and enlightenment of extremely cold weather power outage in Texas, U.S. in 2021[J]. Automation of Electric Power Systems, 2022, 46(6): 1-9.
[15] 严道波, 文劲宇, 杜治, 等. 2021年得州大停电事故分析及其对电网规划管理的启示[J]. 电力系统保护与控制, 2021, 49(9): 121-128.
YAN Daobo, WEN Jinyu, DU Zhi, et al.Analysis of Texas blackout in 2021 and its enlightenment to power system planning management[J]. Power System Protection and Control, 2021, 49(9): 121-128.
[16] 何剑, 屠竞哲, 孙为民, 等. 美国加州“8·14” 、“8·15” 停电事件初步分析及启示[J]. 电网技术, 2020, 44(12): 4471-4478.
HE Jian, TU Jingzhe, SUN Weimin, et al.Preliminary analysis and lessons of California power outage events on August 14 and 15, 2020[J]. Power System Technology, 2020, 44(12): 4471-4478.
[17] 胡秦然, 丁昊晖, 陈心宜, 等. 美国加州2020年轮流停电事故分析及其对中国电网的启示[J]. 电力系统自动化, 2020, 44(24): 11-18.
HU Qinran, DING Haohui, CHEN Xinyi, et al.Analysis on rotating power outage in California, USA in 2020 and its enlightenment to power grid of China[J]. Automation of Electric Power Systems, 2020, 44(24): 11-18.
[18] CAISO. Outage report heat wave of August[R]. California: CAISO, 2020.
[19] 王传琦, 伍历文, 邓志斌, 等. 时间累积架空输电线路覆冰预测模型与算法综述[J]. 中国电力, 2024, 57(6): 153-164, 234.
WANG Chuanqi, WU Liwen, DENG Zhibin, et al.Review of icing prediction model and algorithm for overhead transmission lines considering time cumulative effects[J]. Electric Power, 2024, 57(6): 153-164, 234.
[20] 卢明, 郭志明, 孟高军, 等. 输电线路气象风险精细化建模及气象灾害的在线预警防御策略[J]. 电力科学与技术学报, 2024, 39(1): 208-217.
LU Ming, GUO Zhiming, MENG Gaojun, et al.Refined meteorological risk modeling of transmission lines and online warning and defense strategies of meteorological disasters[J]. Journal of Electric Power Science and Technology, 2024, 39(1): 208-217.
[21] 朱永灿, 舒新, 田毅, 等. 微地形区OPGW地线不均匀覆冰计算模型改进方法[J]. 中国电力, 2023, 56(3): 55-63.
ZHU Yongcan, SHU Xin, TIAN Yi, et al.Research on the improvement method of OPGW ground uneven icing calculation model under micro-terrain[J]. Electric Power, 2023, 56(3): 55-63.
[22] STANKOVSKI A, GJORGIEV B, LOCHER L, et al.Power blackouts in Europe: Analyses, key insights, and recommendations from empirical evidence[J]. Joule, 2023, 7(11): 2468-2484.
[23] MOSQUERA PALACIOS D J, TRUJILLO E R, LÓPEZ-LEZAMA J M. Vulnerability analysis to maximize the resilience of power systems considering demand response and distributed generation[J]. Electronics, 2021, 10(12): 1498.
[24] 王红君, 李万丰, 赵辉, 等. 基于改进VMD-SSA的直流微电网故障检测技术研究[J]. 电工电能新技术, 2022, 41(2): 53-62.
WANG Hongjun, LI Wanfeng, ZHAO Hui, et al.Research on fault detection technology of DC microgrid based on improved VMD-SSA[J]. Advanced Technology of Electrical Engineering and Energy, 2022, 41(2): 53-62.
[25] 刘军, 安柏任, 张维博, 等. 大型风力发电机组健康状态评价综述[J]. 电力系统保护与控制, 2023, 51(1): 176-187.
LIU Jun, AN Bairen, ZHANG Weibo, et al.Review of health status evaluation of large wind turbines[J]. Power System Protection and Control, 2023, 51(1): 176-187.
[26] 苏超, 杨强. 基于多视图稀疏特征选择的架空输电线路故障原因判别[J]. 智慧电力, 2023, 51(3): 96-103.
SU Chao, YANG Qiang.Fault cause identification of overhead transmission line based on multi-view sparse feature selection[J]. Smart Power, 2023, 51(3): 96-103.
[27] 胡海洋, 张欢, 伍晓红, 等. 基于等线长迭代的特高压直线塔地线不平衡张力计算[J]. 智慧电力, 2023, 51(2): 118-123.
HU Haiyang, ZHANG Huan, WU Xiaohong, et al.Calculation of unbalance tension of ground wire for UHV suspension tower based on equilinear length iteration[J]. Smart Power, 2023, 51(2): 118-123.
[28] 张浩鹏, 李泽宁, 薛屹洵, 等. 基于共享储能服务的智能楼宇双层优化配置[J]. 中国电机工程学报, 2025, 45(3): 899-911.
ZHANG Haopeng, LI Zening, XUE Yixun, et al.Bi-level optimal configuration of intelligent buildings based on shared energy storage services[J]. Proceedings of the CSEE, 2025, 45(3): 899-911.
[29] 于艇, 贾文阁, 杜冰心, 等. 基于暂态响应时间分析与暂稳态模式识别的锁相环参数自适应方法[J]. 电工电能新技术, 2024, 43(3): 31-40.
YU Ting, JIA Wenge, DU Bingxin, et al.Phase-locked loop parameter adaptive method based on transient response time analysis and transient steady-state pattern recognition[J]. Advanced Technology of Electrical Engineering and Energy, 2024, 43(3): 31-40.
[30] 孙沛, 赵亮, 田宏梁, 等. 考虑出力特性的光热参与电力平衡容量研究[J]. 电工电能新技术, 2024, 43(3): 103-112.
SUN Pei, ZHAO Liang, TIAN Hongliang, et al.Study on CSP participation in power balance capacity considering output characteristics[J]. Advanced Technology of Electrical Engineering and Energy, 2024, 43(3): 103-112.
[31] WANG Y, WANG C S, LIN F, et al.Incorporating generator equivalent model into voltage stability analysis[J]. IEEE Transactions on Power Systems, 2013, 28(4): 4857-4866.
[32] 王聪博, 余越, 黄森, 等. 电网对称短路故障下双馈风电系统同步稳定分析及致稳控制策略[J]. 电工电能新技术, 2023, 42(10): 26-34.
WANG Congbo, YU Yue, HUANG Sen, et al.Synchronization stability analysis and stabilization control strategy of DFIG- based wind power generation system under symmetric grid fault[J]. Advanced Technology of Electrical Engineering and Energy, 2023, 42(10): 26-34.
[33] 管敏渊, 沈建良, 楼平, 等. 级联H桥分布式潮流控制器的电压、阻抗和功率等值建模[J]. 电工电能新技术, 2021, 40(7): 40-47.
GUAN Minyuan, SHEN Jianliang, LOU Ping, et al.Equivalence analysis of voltage, impedance and power relationships of distributed power flow controller based on cascaded H-bridge converter[J]. Advanced Technology of Electrical Engineering and Energy, 2021, 40(7): 40-47.
[34] 侯慧, 徐焘, 肖振锋, 等. 基于重力储能的风光储联合发电系统容量规划与评价[J]. 电力系统保护与控制, 2021, 49(17): 74-84.
HOU Hui, XU Tao, XIAO Zhenfeng, et al.Optimal capacity planning and evaluation of a wind-photovoltaic-storage hybrid power system based on gravity energy storage[J]. Power System Protection and Control, 2021, 49(17): 74-84.
[35] LI Y R, FU L, MENG K, et al.Assessment and enhancement of static voltage stability with inverter-based generators[J]. IEEE Transactions on Power Systems, 2021, 36(3): 2737-2740.
[36] USAKOV I.Universal generating function[J]. Soviet Journal of Computer And Systems Sciences, 1986, 24(5): 118-129.
[37] 孙瑞娟, Gayan ABEYNAYAKE, 穆清, 等. 基于通用生成函数的海上风电集电系统可靠性与经济性评估[J]. 电力系统自动化, 2022, 46(5): 159-173.
SUN Ruijuan, ABEYNAYAKE G, MU Qing, et al.Reliability and economic evaluation of offshore wind power collection system based on universal generating function[J]. Automation of Electric Power Systems, 2022, 46(5): 159-173.
[38] 胡琴, 杨大川, 蒋兴良, 等. 叶片模拟冰对风力发电机功率特性影响的试验研究[J]. 电工技术学报, 2020, 35(22): 4807-4815.
HU Qin, YANG Dachuan, JIANG Xingliang, et al.Experimental study on the effect of blade simulated icing on power characteristics of wind turbine[J]. Transactions of China Electrotechnical Society, 2020, 35(22): 4807-4815.
[39] CHENG X, SHI F, ZHAO M, et al.Temporal attention convolutional neural network for estimation of icing probability on wind turbine blades[J]. IEEE Transactions on Industrial Electronics, 2022, 69(6): 6371-6380.
[40] CHENG X, SHI F, LIU Y P, et al.A class-imbalanced heterogeneous federated learning model for detecting icing on wind turbine blades[J]. IEEE Transactions on Industrial Informatics, 2022, 18(12): 8487-8497.
[41] 杨宏, 苑津莎, 张铁峰. 一种基于Beta分布的风电功率预测误差最小概率区间的模型和算法[J]. 中国电机工程学报, 2015, 35(9): 2135-2142.
YANG Hong, YUAN Jinsha, ZHANG Tiefeng.A model and algorithm for minimum probability interval of wind power forecast errors based on beta distribution[J]. Proceedings of the CSEE, 2015, 35(9): 2135-2142.
[42] 马昊天, 刘科研, 盛万兴, 等. 考虑季节因素的光伏出力主-噪成分概率特性分析及场景构建方法[J]. 太阳能学报, 2024, 45(12): 154-164.
MA Haotian, LIU Keyan, SHENG Wanxing, et al.Probability characteristic analysis and scenario modeling method for main-noise components of photovoltaic power output considering seasonal factors[J]. Acta Energiae Solaris Sinica, 2024, 45(12): 154-164.
[43] PARZEN E.On estimation of a probability density function and mode[J]. The Annals of Mathematical Statistics, 1962, 33(3): 1065-1076.
[44] SILVERMAN B W.Density estimation for statistics and data analysis[M]. London: Chapman and Hall, 1986: 34-60.
[45] LIU L Y, ZHAO Y, CHANG D L, et al.Prediction of short-term PV power output and uncertainty analysis[J]. Applied Energy, 2018, 228: 700-711.
[46] 杨茂, 朱亮. 基于非参数估计的光伏功率短期预测误差分析[J]. 电网与清洁能源, 2020, 36(5): 107-114.
YANG Mao, ZHU Liang.Error analysis of photovoltaic power short-term prediction based on non-parametric estimation[J]. Power System and Clean Energy, 2020, 36(5): 107-114.
[47] 姚俊伟, 何奇, 张宇, 等. 考虑风电出力不确定性的微电网两阶段鲁棒优化调度模型[J]. 浙江电力, 2024, 43(11): 106-115.
YAO Junwei, HE Qi, ZHANG Yu, et al.A two-stage robust optimal scheduling model for microgrids accounting for the uncertainties in wind turbine output[J]. Zhejiang Electric Power, 2024, 43(11): 106-115.
[48] 张志劲, 周天宇, 蒋兴良, 等. 典型覆冰形状下输电线路风荷载影响研究[J]. 电网技术, 2023, 47(12): 5247-5255.
ZHANG Zhijin, ZHOU Tianyu, JIANG Xingliang, et al.Influence of wind loads on transmission lines under typical ice shapes[J]. Power System Technology, 2023, 47(12): 5247-5255.
[49] HUANG W, HU B, SHAHIDEHPOUR M, et al.Preventive scheduling for reducing the impact of glaze icing on transmission lines[J]. IEEE Transactions on Power Systems, 2022, 37(2): 1297-1310.
[50] JAFARISHIADEH F, MOHAMMADI F, SAHRAEI-ARDAKANI M.Preventive dispatch for transmission de-icing[C]//2021 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2021: 1.
[51] 袁杨, 张衡, 程浩忠, 等. 台风灾害下考虑多类型故障不确定性的源网荷协同弹性提升模型[J]. 电网技术, 2024, 48(6): 2541-2549.
YUAN Yang, ZHANG Heng, CHENG Haozhong, et al.Source-grid-load coordinated resilience enhancement model considering multi-type contingency uncertainty under typhoon disaster[J]. Power System Technology, 2024, 48(6): 2541-2549.
[52] 张译心, 狄晨烨, 赵男, 等. 面向复合极端天气的高新能源渗透率电网风险评估技术[J]. 电力建设, 2024, 45(10): 34-46.
ZHANG Yixin, DI Chenye, ZHAO Nan, et al.Risk assessment techniques for grids with high penetration of new energy under extreme weather conditions[J]. Electric Power Construction, 2024, 45(10): 34-46.

Funding

National Natural Science Foundation of China (No. 52377075) and the Technology Project of China Southern Power Grid Company Limited (No. 0500002023030301GH00107).
PDF(809 KB)

Accesses

Citation

Detail

Sections
Recommended

/