In- and Post-disaster Two-stage Coordinated Resilience Recovery Decision of Distribution Network Considering Distributed Generators

LIU Yuling; ZHANG Feng; ZHANG Gang; DING Lei

doi:10.7500/AEPS20230627013

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In- and Post-disaster Two-stage Coordinated Resilience Recovery Decision of Distribution Network Considering Distributed Generators

Basic Research | 更新时间：2025-06-16

- In- and Post-disaster Two-stage Coordinated Resilience Recovery Decision of Distribution Network Considering Distributed Generators
- Automation of Electric Power Systems Vol. 48, Issue 2, Pages: 48-59(2024)
- 作者机构：
  
  1.电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市250061
  2.烟台哈尔滨工程大学研究院,山东省烟台市 264006
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(72271143;52307089);Shandong Provincial Natural Science Foundation of China(ZR2022QE012)
- DOI：10.7500/AEPS20230627013
  CLC：
- Received：27 June 2023，
  
  Revised：2023-08-09，
  
  Published Online：08 December 2023，
  
  Published：25 January 2024
- 稿件说明：
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刘玉玲,张峰,张刚等.考虑分布式电源的配电网灾中-灾后两阶段协同韧性恢复决策[J].电力系统自动化,2024,48(2):48-59.

LIU Yuling,ZHANG Feng,ZHANG Gang,et al.In- and Post-disaster Two-stage Coordinated Resilience Recovery Decision of Distribution Network Considering Distributed Generators[J].Automation of Electric Power Systems,2024,48(2):48-59.
刘玉玲,张峰,张刚等.考虑分布式电源的配电网灾中-灾后两阶段协同韧性恢复决策[J].电力系统自动化,2024,48(2):48-59. DOI： 10.7500/AEPS20230627013.

LIU Yuling,ZHANG Feng,ZHANG Gang,et al.In- and Post-disaster Two-stage Coordinated Resilience Recovery Decision of Distribution Network Considering Distributed Generators[J].Automation of Electric Power Systems,2024,48(2):48-59. DOI： 10.7500/AEPS20230627013.

摘要

频繁的极端自然灾害极易引发配电网大规模故障，基于分布式电源的负荷恢复是提高配电网韧性水平的重要手段。然而，现有研究一般将灾中和灾后阶段进行独立决策，忽略了二者决策的连续性和耦合性，延缓了恢复进程。为此，文中提出一种基于灾中-灾后两阶段协同决策的配电网快速恢复方法，充分考虑灾中-灾后过程中的相互作用，综合分布式电源调度、网络拓扑改变、维修人员调度等在内的恢复措施，保障灾中-灾后阶段连续决策的最优性。首先，考虑灾后供能路径对灾中网络拓扑的需求关系，建立灾中阶段以分布式电源为核心的拓扑调整模型与负荷元胞恢复模型，实现部分重要负荷的供电；其次，考虑灾中决策对灾后恢复的影响，建立灾后阶段故障维修人员调度和负荷快速恢复的联合决策模型，实现所有负荷的有序恢复；然后，以灾中-灾后全阶段失负荷量最小为目标，实现灾中-灾后恢复的协同决策；最后，基于IEEE 123节点配电系统验证了所提模型的有效性。

Abstract

Frequent extreme natural disasters are highly likely to cause large-scale faults in the distribution network

and the distributed generator (DG) based load recovery is an important means to improve the resilience level of the distribution network. However

existing studies generally make independent decisions during the in- and post-disaster stages

while neglecting the continuity and coupling of the two decisions

and slowing down the recovery process. Therefore

this paper proposes a fast recovery method for the distribution network based on the in- and post-disaster two-stage coordinated decisions

which fully considers the interactions between the in- and post-disaster processes

and integrates the recovery measures including DG scheduling

network topology change

and maintenance personnel scheduling to guarantee the optimality of the consecutive decisions during the in- and post-disaster stages. Firstly

considering the demand relationship between post-disaster energy supply path and the in-disaster network topology

the topology adjustment model with DG as the core and the cellular load recovery model are established during the in-disaster stage to achieve the power supply for partial important loads. Secondly

considering the impact of the in-disaster decisions on the post-disaster recovery

a joint decision-making model for the fault maintenance personnel scheduling and fast load recovery is established during the post-disaster stage to achieve orderly recovery of all loads. Then

with the objective of minimizing the loss of load during the in- and post-disaster stages

the coordinated decision-making for the in- and post-disaster recovery is achieved. Finally

the validity of the proposed model is verified through an IEEE 123-bus distribution system.

关键词

Keywords

references

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