[1]陈俊硕,谷雨沛,薛晓波,等.综合交通网故障和光伏不确定性的配电网移动储能配置规划[J].长安大学学报(自然科学版),2024,44(5):89-99.[doi:10.19721/j.cnki.1671-8879.2024.05.008]
　CHEN Jun-shuo,GU Yu-pei,XUE Xiao-bo,et al.Configuration planning of mobile energy storage in distribution network considering transportation network failures and PV uncertainty[J].Journal of Chang’an University (Natural Science Edition),2024,44(5):89-99.[doi:10.19721/j.cnki.1671-8879.2024.05.008]
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综合交通网故障和光伏不确定性的配电网移动储能配置规划()
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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:
89-99
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:
Configuration planning of mobile energy storage in distribution network considering transportation network failures and PV uncertainty
文章编号:
1671-8879(2024)05-0089-11
作者:
陈俊硕1; 谷雨沛1; 薛晓波1; 王秋才2; 姚博彬2; 李艳波1
(1. 长安大学 能源与电气工程学院,陕西 西安 710064; 2. 长安大学 电子与控制工程学院,陕西 西安 710064)
Author(s):
CHEN Jun-shuo1;  GU Yu-pei1;  XUE Xiao-bo1;  WANG Qiu-cai2;  YAO Bo-bin2;  LI Yan-bo1
(1. School of Energy and Electrical Engineering, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Electronics and Control Engineering, Chang'an University, Xi'an 710064, Shaanxi, China)
关键词:
交通工程;  移动储能;  配置规划;  配电网;  电网交通网融合;  鲁棒配置
Keywords:
traffic engineering;  mobile energy storage;  configuration planning;  power distribution network;  integration of power and transportation networks;  robust configuration
分类号:
U491
DOI:
10.19721/j.cnki.1671-8879.2024.05.008
文献标志码:
A
摘要:
为了解决配电网的季节性运行差异以及极端事件对配电网和交通网的影响,提出了一种考虑光伏出力不确定性和极端事件下配电网-交通网融合系统故障不确定性的两步移动储能配置规划模型。首先,在配电网正常运行的典型场景下,考虑光伏出力的不确定性,以移动储能配置和运行成本最小为目标函数,建立鲁棒配置规划模型,得到第一步移动储能的配置节点方案,从而优化正常情况下配电网运行效率,减少能源浪费。其次,在配电网和交通网故障运行的场景下,考虑配电网线路和交通网线路故障的不确定性,以最大化恢复配电网重要负荷,最小化用户损失费用为目标函数,建立第二步配置规划模型,得到第二步移动储能的配置节点方案,可提升配电网-交通网融合系统在灾后的恢复能力,以应对极端事件的发生。然后,综合前两步的配置节点方案,应用G1-CRITIC综合加权的方法,得到综合交通网故障和光伏不确定性影响的最优移动储能配置节点方案。最后,为了验证所提策略的有效性,采用改进的IEEE33节点配电网模型作为算例,与考虑光伏不确定性的移动储能节点配置,考虑配电网线路和交通网线路故障不确定性的移动储能节点配置,以及考虑交通网结构的移动储能节点配置3种不同配置策略进行比对试验。研究结果表明:所提综合交通网故障和光伏不确定性影响的移动储能节点配置策略在灾后对重要负荷恢复率可以达到84%,整体负荷恢复率达到26%,均优于其他3种策略,能有效地提升负荷的恢复率。
Abstract:
To address the seasonal operational disparities of the power distribution network and the impact of extreme events on both the power distribution and transportation networks, a two-stage configuration planning of mobile energy storage(MES)model that considering the uncertainty of photovoltaic(PV)output and the fault uncertainty of the integrated power and transportation network system under extreme events was proposed. Firstly, under typical scenarios of normal operation within the power distribution network, considering the uncertainty of PV output, a robust configuration model was established, aiming to minimize the configuration and operational costs of MES as the objective function. The first scheme for the configuration of MES nodes was yielded, thereby optimizing the efficiency of power distribution network operations and curtailing the squandering of energy resources. Subsequently, under scenarios of fault operation within the power distribution and transportation networks, the fault uncertainty of the power distribution network and transportation network were considered in the model. With the objective function aimed to maximize the restoration of critical electrical loads in the power distribution system and minimize the user loss costs, the second-stage configuration model was established. The second scheme for the configuration of MES nodes was yielded, thereby enhancing the system's post-disaster restoration capability and addressing extreme events. Then, integrating the configuration results from the first two steps and applying the G1-CRITIC comprehensive weighting method, the optimal MES configuration nodes considering transportation network failures and PV uncertainty were selected. Finally, to validate the effectiveness of the strategy proposed, an enhanced IEEE 33-node distribution network model was used as a case study. Comparisons were made with three different configuration strategies, MES configuration planning considering the uncertainty of PV output, considering both the fault uncertainty of the power distribution network and transportation network and considering the structure of the transportation network. The results show that the proposed MES configuration strategy which considers transportation network failures and PV uncertainty, are capable of achieving an 84% restoration rate for critical loads and a 26% restoration rate for overall system loads, which is better than the other three configuration strategies for MES, effectively improving the load restoration rate.5 tabs, 10 figs, 27 refs.

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备注/Memo

备注/Memo:
收稿日期:2024-06-21
基金项目:国家重点研发计划项目(2021YFB1600202)
作者简介:陈俊硕(1986-),男,河南鄢陵人,副教授,工学博士,E-mail:jsch@chd.edu.cn。
通讯作者:王秋才(1973-),男,福建惠安人,副教授,工学博士,E-mail:qcwang@chd.edu.cn。
更新日期/Last Update: 2024-10-20