[1]柯 吉,王海洋,路 捷,等.考虑故障变化的高速公路配电网雪灾后低碳恢复策略[J].长安大学学报(自然科学版),2024,44(5):114-125.[doi:10.19721/j.cnki.1671-8879.2024.05.010]
 KE Ji,WANG Hai-yang,LU Jie,et al.Highway distribution network for post-disaster low carbon recovery considering fault variations[J].Journal of Chang’an University (Natural Science Edition),2024,44(5):114-125.[doi:10.19721/j.cnki.1671-8879.2024.05.010]
点击复制

考虑故障变化的高速公路配电网雪灾后低碳恢复策略()
分享到:

长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
第44卷
期数:
2024年5期
页码:
114-125
栏目:
交通能源融合技术专题
出版日期:
2024-10-10

文章信息/Info

Title:
Highway distribution network for post-disaster low carbon recovery considering fault variations
文章编号:
1671-8879(2024)05-0114-12
作者:
柯 吉1王海洋1路 捷2蒋 玮3刘状壮3王 飚1
(1. 长安大学 能源与电气工程学院,陕西 西安 710018; 2. 长安大学 电子与控制工程学院,陕西 西安 710018; 3. 长安大学 公路学院,陕西 西安 710064)
Author(s):
KE Ji1 WANG Hai-yang1 LU Jie2 JIANG Wei3 LIU Zhuang-zhuang3 WANG Biao1
(1. School of Energy and Electrical Engineering, Chang'an University, Xi'an 710018, Shaanxi, China; 2. School of Electronic and Control Engineering, Chang'an University, Xi'an 710018, Shaanxi, China; 3. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China)
关键词:
交通工程 高速公路配电网 灾后低碳恢复 能源调度车协同 线路故障
Keywords:
traffic engineering highway distribution network post-disaster low carbon recovery coordinated energy dispatching vehicle line fault
分类号:
U491
DOI:
10.19721/j.cnki.1671-8879.2024.05.010
文献标志码:
A
摘要:
为解决高速公路雪灾导致配电网大面积停电后的电力保障问题,在灾害时长可预测情况下,利用能源调度车协同分布式能源,提出一种考虑电力线路故障修复及其变化,且具有减碳效果的配电网灾后恢复策略。在线路故障方面,对线路覆冰导致的过荷载断线情况进行分析,并基于此建立线路故障修复与变化场景的模型; 在灾后恢复方面,考虑路面结冰对能源调度车通行影响,提出一种以负荷削减功率最小为目标,综合能源调度车、应急电源和柴油发电机多源协同的灾后恢复策略,并求解其最优的负荷削减量、分布式电源出力以及能源调度车运行策略。最后,以修正的适用于高速公路的IEEE 33节点配电系统分别对所提策略、无能源调度车以及目标函数不包含对清洁能源和柴油发电机出力奖惩的情况进行对比分析。研究结果表明:提出策略能够实现高速公路配电系统灾后有效恢复,降低其对柴油发电机的依赖; 在能源调度车与分布式资源的协同下,1,2和3级负荷平均供电率分别为94.7%、93.2%和40%; 无能源调度车下,各级负荷平均供电率明显降低,1,2和3级负荷平均供电率分别为84% 、76.6%和15%; 此外,在不考虑能源调度车、应急电源和柴油发电机出力奖惩情况下,与所提策略相比,其柴油发电机多出力15.45%。
Abstract:
To address the issue of power supply assurance following widespread outages in distribution networks caused by snow disasters on expressways, and given the predictability of the disaster duration, energy dispatch vehicles in coordination with distributed energy resources was used to propose a post-disaster recovery strategy for the distribution network that considered the repair and variability of power line faults and had carbon reduction effects. In terms of line faults, the overload line breakage caused by ice cover on lines was analyzed, and models for line fault repair and variable scenarios were established. In terms of post-disaster recovery, considering the impact of icy road surfaces on the mobility of energy dispatch vehicles, a multi-source coordinated post-disaster recovery strategy was proposed, aiming for minimum load reduction power. This strategy integrated load reduction optimization, distributed power output, and operation strategies for energy dispatch vehicles, considering emergency power and diesel generators. It sought to determine the optimal load reduction, distributed power generation output, and operation strategies for energy dispatch vehicles. A comparative analysis was then conducted on the modified IEEE 33-bus distribution system suitable for expressways, examining the proposed strategy, scenarios without energy dispatch vehicles, and scenarios where the objective function did not include rewards and penalties for the output of clean energy and diesel generators. The results show that the proposed strategy can effectively restore the power distribution system after a snow disaster on expressways and reduce reliance on diesel generators. With the coordination of energy dispatch vehicles and distributed resources, the average supply rates for primary, secondary, and tertiary loads are 94.7%, 93.2% and 40%, respectively. Without energy dispatch vehicles, the average supply rates for all load levels are significantly reduced, with primary, secondary, and tertiary loads having average supply rates of 84%, 76.6% and 15%, respectively. Furthermore, compared with the proposed strategy, diesel generators power output 15.45% more power when rewards and penalties for the output of energy dispatch vehicles, emergency power supplies, and diesel generators are not considered.7 tabs, 19 figs, 26 refs.

参考文献/References:

[1] 林馨妍,朱俊澎,袁 越.体系架构下的多微电网分布式韧性增强策略[J].中国电力,2023,56(12):87-99.
LIN Xin-yan,ZHU Jun-peng,YUAN Yue.Distributed resilience enhancement strategy for multimicrogrid system architecture[J].China Electric Power,2023,56(12):87-99.
[2]张恒旭,刘玉田.极端冰雪灾害对电力系统运行影响的综合评估[J].中国电机工程学报,2011,31(10):52-58.
ZHANG Heng-xu,LIU Yu-tian.Comprehensive assessment of extreme ice disaster affecting power system operation[J].Proceedings of the CSEE,2011,31(10):52-58.
[3]刘瀚琛,王 冲,鞠 平.双碳背景下综合能源电力系统弹性分析与提升研究综述[J].电气工程学报,2023,18(2):108-124.
LIU Han-chen,WANG Chong,JU Ping.Review on resilience analysis and enhancement of integrated energy power systems considering dual carbon goal[J].Journal of Electrical Engineering,2023,18(2):108-124.
[4]杨腾飞,马宝君,李 政.对高速公路供配电系统电能质量的探析[J].机械工程与自动化,2024(1):138-140.
YANG Teng-fei,MA Bao-jun,LI Zheng.Analysis on power quality of expressway power supply and distribution system[J].Mechanical Engineering & Automation,2024(1):138-140.
[5]高 洁,肖仕武.计及机会检修的高速公路微电网电气设备动态检修计划[J/OL].华北电力大学学报(自然科学版):1-11[2024-04-20].http://kns.cnki.net/kcms/detail/13.1212.TM.20230717.1023.002.html.
GAO Jie,XIAO Shi-wu.Dynamic maintenance planning of electrical equipment in highway microgrid considering opportunistic maintenance[J/OL].Journal of North China Electric Power University(Natural Science Edition):1-11[2024-04-20].http://kns.cnki.net/kcms/detail/13.1212.TM.20230717.1023.002.html.
[6]ZHAO F Y.Research on resilience recovery strategy optimization of highway network after disaster based on genetic algorithm[J].Journal of Physics:Conference Series,2021,2083(3):032014.
[7]LIAO G R,YANG X J,LOU S H,et al.Multi-objective capacity planning for expressway microgrid considering photovoltaic panel dust removal maintenance[J].Journal of Physics:Conference Series,2023,2588(1):012003.
[8]谭中楠,曹明月,郭 飞.高速公路应急救援资源调度管理策略研究[J].自动化仪表,2022,43(11):95-98,104.
TAN Zhong-nan,CAO Ming-yue,GUO Fei.Research on management strategy of highway emergency rescue resources dispatching[J].Process Automation Instrumentation,2022,43(11):95-98,104.
[9]刘祎恺.高速公路自洽能源系统功率弹性恢复控制技术研究[D].北京:华北电力大学,2022.
LIU Yi-kai.Research on power elastic recovery control technology of expressway self-consistent energy system[D].Beijing:North China Electric Power University,2022.
[10]MA S Q,XIANG T C,HOU K,et al.Spatial-temporal optimal dispatch of mobile energy storage for emergency power supply[J].Energy Reports,2022,8:322-329.
[11]DUGAN J,MOHAGHEGHI S,KROPOSKI B.Application of mobile energy storage for enhancing power grid resilience:A review[J].Energies,2021,14(20):6476.
[12]GHASEMI S,MOSHTAGH J.Distribution system restoration after extreme events considering distributed generators and static energy storage systems with mobile energy storage systems dispatch in transportation systems[J].Applied Energy,2022,310:118507.
[13]GARGARI M Z,HAGH M T,ZADEH S G.Preventive scheduling of a multi-energy microgrid with mobile energy storage to enhance the resiliency of the system[J].Energy,2023,263:125597.
[14]XU Y D,ZHAO M,WU H,et al.Coordination of network reconfiguration and mobile energy storage system fleets to facilitate active distribution network restoration under forecast uncertainty[J].Frontiers in Energy Research,2023,10:1024282.
[15]SHEN Y Q,QIAN T,LI W W,et al.Mobile energy storage systems with spatial-temporal flexibility for post-disaster recovery of power distribution systems:A bilevel optimization approach[J].Energy,2023,282:128300.
[16]NIU M B,WANG H C,LI J,et al.Coordinated energy dispatch of highway microgrids with mobile storage system based on DMPC optimization[J].Electric Power Systems Research,2023,217:109119.
[17]GUO X F,MIAO G X,WANG X,et al.Mobile energy storage system scheduling strategy for improving the resilience of distribution networks under ice disasters[J].Processes,2023,11(12):3339.
[18]王月汉,刘文霞,姚 齐,等.面向配电网韧性提升的移动储能预布局与动态调度策略[J].电力系统自动化,2022,46(15):37-45.
WANG Yue-han,LIU Wen-xia,YAO Qi,et al.Prelayout and dynamic scheduling strategy of mobile energy storage for resilience enhancement of distribution network[J].Automation of Electric Power Systems,2022,46(15):37-45.
[19]王钰山,邓 晖,王 旭,等.考虑台风时空演变的配电网移动储能优化配置与运行策略[J].电力系统自动化,2022,46(9):42-51.
WANG Yu-shan,DENG Hui,WANG Xu,et al.Optimal configuration and operation strategy of mobile energy storage in distribution network considering spatial-temporal evolution of typhoon[J].Automation of Electric Power Systems,2022,46(9):42-51.
[20]徐文军,杨洪明,赵俊华,等.冰风暴灾害下电力断线倒塔的概率计算[J].电力系统自动化,2011,35(1):13-17.
XU Wen-jun,YANG Hong-ming,ZHAO Jun-hua,et al.Probability calculation of broken transmission lines and collapsed towers under ice storms[J].Automation of Electric Power Systems,2011,35(1):13-17.
[21]齐红涛,朱 敏,贺广宇.用电负荷分级与重要客户分级[J].现代建筑电气,2018,9(11):13-16,36.
QI Hong-tao,ZHU Min,HE Guang-yu.Power load classification and important customer classification[J].Modern Architecture Electric,2018,9(11):13-16,36.
[22]杨丽君,赵 宇,赵 优,等.考虑交通路网应急电源车调度的有源配电网故障均衡恢复[J].电力系统自动化,2021,45(21):170-180.
YANG Li-jun,ZHAO Yu,ZHAO You,et al.Balanced fault recovery of active distribution network considering emergency power supply vehicle scheduling in traffic network[J].Automation of Electric Power Systems,2021,45(21):170-180.
[23]LEI S B,CHEN C,ZHOU H,et al.Routing and scheduling of mobile power sources for distribution system resilience enhancement[J].IEEE Transactions on Smart Grid,2019,10(5):5650-5662.
[24]杨 静,柳艳香,郜婧婧,等.一种影响公路交通的冰冻强度计算方法[J].气象科技进展,2017,7(1):149-154,158.
YANG Jing,LIU Yan-xiang,GAO Jing-jing,et al.A method of calculating freezing intensity in highway traffic[J].Advances in Meteorological Science and Technology,2017,7(1):149-154,158.
[25]闫 涵,王建华,范须露,等.基于用户停电损失评估的有源配电网灾后供电恢复模型[J].电力系统自动化,2022,46(5):31-39.
YAN Han,WANG Jian-hua,FAN Xu-lu,et al.Post-disaster power supply restoration model for active distribution network based on customer interruption cost assessment[J].Automation of Electric Power Systems,2022,46(5):31-39.
[26]丁明成,于西昌.机加工过程中的线性规划问题[J].机械研究与应用,2003,16(4):84-86.
DING Ming-cheng,YU Xi-chang.Linear programming problem in machining process[J].Mechanical Research & Application,2003,16(4):84-86.

相似文献/References:

[1]王建伟,李娉,高洁,等.中国交通运输碳减排区域划分[J].长安大学学报(自然科学版),2012,32(01):0.
[2]李曙光,周庆华.具有破坏排队的离散时间动态网络装载算法[J].长安大学学报(自然科学版),2012,32(01):0.
[3]凌海兰,郗恩崇.基于随机波动条件的公交客运量预测模型[J].长安大学学报(自然科学版),2012,32(01):0.
[4]田娥,肖庆,陆小佳,等.安全驾驶的横向安全预警报警阈值的确定[J].长安大学学报(自然科学版),2012,32(01):0.
[5]侯贻栋,赵炜华,魏 朗,等.驾驶人空间距离判识规律心理学分析[J].长安大学学报(自然科学版),2012,32(03):86.
 HOU Yi-dong,ZHAO Wei-hua,WEI Lang,et al.Analysis on psychology in cognitive distance about drivers[J].Journal of Chang’an University (Natural Science Edition),2012,32(5):86.
[6]赵跃峰,张生瑞,魏 华.隧道群路段运行速度特性分析[J].长安大学学报(自然科学版),2012,32(06):67.
 ZHAO Yue-feng,ZHANG Sheng-rui,WEI hua.Operating speed characteristics of tunnel group section[J].Journal of Chang’an University (Natural Science Edition),2012,32(5):67.
[7]林 杉,许宏科,刘占文.一种高速公路隧道交通流元胞自动机模型[J].长安大学学报(自然科学版),2012,32(06):73.
 LIN Shan,XU Hong-ke,LIU Zhan-wen.One cellular automaton traffic flow model for expressway tunnel[J].Journal of Chang’an University (Natural Science Edition),2012,32(5):73.
[8]刘俊德,徐 兵,梁永东,等.交通事故下高速公路行车安全评估[J].长安大学学报(自然科学版),2012,32(06):78.
 LIU Jun-de,XU bing,LIANG Yong-dong,et al.Traffic safety assessment of expressway in the accident[J].Journal of Chang’an University (Natural Science Edition),2012,32(5):78.
[9]芮海田,吴群琪,赵跃峰,等.公路建设对区域经济发展的影响分析——以陕西省为例[J].长安大学学报(自然科学版),2012,32(06):83.
 RUI Hai-tian,WU Qun-qi,ZHAO Yue-feng,et al.Influence of highway construction on regional economy development——taking Shaanxi as an example[J].Journal of Chang’an University (Natural Science Edition),2012,32(5):83.
[10]彭 辉,续宗芳,韩永启,等.城市群城际运输结构配置客流分担率模型[J].长安大学学报(自然科学版),2012,32(02):91.
 PENG Hui,XU Zong-fang,HAN Yong-qi,et al.Sharing ratios model of passenger flows in intercity transportation structure configuration among urban agglomeration[J].Journal of Chang’an University (Natural Science Edition),2012,32(5):91.

备注/Memo

备注/Memo:
收稿日期:2024-06-13
基金项目:国家重点研发计划项目(2021YFB1600200); 陕西省重点研发计划项目(2023-YBSF-285); 新能源核心技术“科学家+工程师”队伍项目(2022KXJ-078)
作者简介:柯 吉(1982-),男,安徽安庆人,工学博士,E-mail:keji@chd.edu.cn。
通讯作者:王 飚(1969-),男,河南南阳人,副教授,博士研究生导师,E-mail:wangbiao@chd.edu.cn。
更新日期/Last Update: 2024-10-20