地震灾害下考虑交通路况的主动配电网动态协同恢复策略

doi:10.12204/j.issn.1000-7229.2024.01.007

电力建设 ›› 2024, Vol. 45 ›› Issue (1): 68-82.doi: 10.12204/j.issn.1000-7229.2024.01.007

• 新型电力系统韧性基础理论与关键技术·栏目主持许寅教授、时珊珊高工、魏韡副教授· • 上一篇下一篇

地震灾害下考虑交通路况的主动配电网动态协同恢复策略

田书欣(), 姚尚坤(), 符杨(), 季亮(), 苏向敬(), 李振坤()

上海电力大学电气工程学院,上海市 200090

收稿日期:2023-02-09 出版日期:2024-01-01 发布日期:2023-12-24
通讯作者: 田书欣(1985),男,博士,副教授,主要从事电力系统规划、智能配电网运行等方面的研究工作,E-mail:tsx396@163.com。
作者简介:姚尚坤(1996),男,硕士研究生,主要研究方向为配电网韧性提升,E-mail:2232114106@qq.com;
符杨(1968),男,博士,教授,主要研究方向为风力发电和电力系统规划,E-mail:mfudong@126.com;
季亮(1985),男,博士,副教授,研究方向为电力系统保护与控制,E-mail: jihome2002@sina.cn;
苏向敬(1984),男,博士,副教授,主要研究方向为海上风电大数据技术、主动配电网优化规划运行,E-mail:xiangjing_su@126.com;
李振坤(1982),男,博士,教授,主要研究方向为配电网规划及运行控制、分布式电源并网及微电网术等,E-mail:lzk021@163.com。
基金资助:
国家自然科学基金项目(52007112);国家电网公司科技项目(B3094020000K)

Dynamic Collaborative Restoration Strategy of Active Distribution Network Considering Traffic Condition under Earthquake

TIAN Shuxin(), YAO Shangkun(), FU Yang(), JI Liang(), SU Xiangjing(), LI Zhenkun()

College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received:2023-02-09 Published:2024-01-01 Online:2023-12-24
Supported by:
National Natural Science Foundation of China(52007112);Science and Technology Project of State Grid Corporation of China(B3094020000K)

摘要/Abstract

摘要：

地震等极端灾害可使主动配电网(active distribution network,ADN)和交通网同时遭受严重损害,进而引发交通道路受损拥堵和大面积停电事故,给电网恢复供电造成困难。对此,从震后交通网和ADN特征着手,提出一种融合有限源荷资源、网络重构和抢修调度的ADN动态协同恢复策略。首先,基于震后交通网与ADN难以割裂和互为映射的联接关系,构建交通网道路与配电网线路的联合灾损模型,并建立计及通行能力和交通流量综合影响的交通网抢修通行时间模型以及结合负荷时需和重要性的ADN恢复韧性指标;其次,构建考虑震后交通网路况的ADN分层动态协同恢复优化模型,外层以恢复韧性指标最大和总抢修时间最小为目标,内层以最小化停电损失和加权开关动作次数为目标;然后,采用改进灰狼优化算法求解所提模型,协调优化多类型发电、应急需求响应负荷、网络重构和抢修队等资源,提升震后ADN韧性;最后,通过地震灾损场景下的算例分析,验证所述策略的可行性和有效性。

关键词: 地震灾害, 主动配电网(ADN), 交通网路况, 协同恢复, 韧性

Abstract:

Extreme disasters such as earthquakes can cause severe damage to active distribution networks (ADN) and transportation networks. These disasters can lead to road damage, congestion, and large-scale power outage, which makes it difficult to restore power supply to the power grid. In this study, an ADN dynamic collaborative recovery strategy is proposed based on the characteristics of the traffic network and ADN after an earthquake. The proposed strategy integrates finite source and load resources, network reconstruction, and rush repair scheduling. First, a joint disaster damage model of roads and lines of the transportation network was constructed based on the relationship between the transportation network and ADN that is difficult to separate and map to each other after the earthquake. A model of the traffic rush repair travel time of the transportation network was established considering the comprehensive influence of the traffic capacity and traffic flow, and the ADN resilience index combining the time demand and load importance. Second, an ADN hierarchical dynamic cooperative restoration optimization model reflecting the post-earthquake traffic network conditions was established. The outer layer was targeted at determining the maximum resilience index and minimum total emergency repair time, whereas the inner layer was targeted at minimizing economic losses and weighted switch operation times. Third, the improved grey wolf optimization algorithm was used to solve the proposed model, and resources such as multi-type power generation, emergency demand response load, network reconstruction and emergency repair team were coordinated and optimized to improve the resilience of ADNs after earthquakes. Finally, the feasibility and effectiveness of the proposed strategy are verified using an example analysis of the earthquake damage scenario.

Key words: earthquake disaster, active distribution network (ADN), road conditions of transportation network, cooperative restoration, resilience

中图分类号:

TM732

田书欣, 姚尚坤, 符杨, 季亮, 苏向敬, 李振坤. 地震灾害下考虑交通路况的主动配电网动态协同恢复策略[J]. 电力建设, 2024, 45(1): 68-82.

TIAN Shuxin, YAO Shangkun, FU Yang, JI Liang, SU Xiangjing, LI Zhenkun. Dynamic Collaborative Restoration Strategy of Active Distribution Network Considering Traffic Condition under Earthquake[J]. ELECTRIC POWER CONSTRUCTION, 2024, 45(1): 68-82.

图/表 21

图1 震后配电网-交通网的简化联接关系

Fig.1 Simplified join relationship between distribution-transportation network after earthquake

表1 道路通行能力修正系数

Table 1 The correction factor of road capacity

图2 震后ADN功能函数曲线

Fig.2 Function curve of ADN after earthquake

图3 负荷 EDR模型

Fig.3 EDR model of load

图4 供电恢复方案流程

Fig.4 Flow chart of power restoration scheme

图5 抢修调度方案流程

Fig.5 Flow chart of repair scheduling scheme

图6 主动配电网和交通网的系统

Fig.6 System of ADN and transportation networks

表2 分布式电源与微网参数

Table 2 Parameter of DG and MG

表3 负荷的应急需求响应参数

Table 3 Parameter of EDR load

图7 主动配电网和交通网的映射关系及地理分布

Fig.7 Mapping relationship and geographical distribution of ADN and transportation network

图8 主动配电网各线路的故障率

Fig.8 Failure rate of each line in ADN

图9 交通网各道路不同损毁度的概率

Fig.9 The probability of different damage degrees of each road in the transportation network

表4 配电网和交通网的灾损场景

Table 4 Disaster damage scenario of distribution network and transportation network

图10 所提策略5的抢修甘特图

Fig.10 Repair Gantt chart of proposed strategy 5

图11 所提策略5下不同恢复时刻的ADN供电恢复结果

Fig.11 ADN recovery results at different recovery time under proposed strategy 5

表5 震后不同恢复策略下的恢复结果对比

Table 5 Comparison of recovery results of different recovery strategies after earthquake

图12 震后不同恢复策略的ADN功能函数曲线

Fig.12 ADN function curves of different recovery strategies after earthquake

图13 所提策略5下不同恢复时刻的EDR响应率

Fig.13 EDR response rate at different recovery time under proposed strategy 5

表6 不同交通网路况下的恢复结果对比

Table 6 Comparison of recovery results under different traffic conditions

图14 不同交通网路况下的抢修路线

Fig.14 Emergency repair route under different traffic conditions

图15 不同交通网路况下的ADN功能函数曲线

Fig.15 ADN function curves under different traffic conditions

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地震灾害下考虑交通路况的主动配电网动态协同恢复策略

Dynamic Collaborative Restoration Strategy of Active Distribution Network Considering Traffic Condition under Earthquake

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