Pre-disaster Pre-layout and Post-disaster Scheduling of Emergency Materials Considering Uncertainties of Fault Information and Demand

QIE Dan; WAN Haiyang; ZHANG Tongfei; SUN Xiaoguang; WANG Zhiqiang; LIU Wenxia

doi:10.7500/AEPS20230908002

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Pre-disaster Pre-layout and Post-disaster Scheduling of Emergency Materials Considering Uncertainties of Fault Information and Demand

Basic Research | 更新时间：2025-06-16

- Pre-disaster Pre-layout and Post-disaster Scheduling of Emergency Materials Considering Uncertainties of Fault Information and Demand
- Automation of Electric Power Systems Vol. 48, Issue 13, Pages: 120-129(2024)
- 作者机构：
  
  1.华北电力大学电气与电子工程学院,北京市 102206
  2.国网吉林省电力有限公司长春供电公司,吉林省长春市 130021
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52307094)
- DOI：10.7500/AEPS20230908002
  CLC：
- Received：08 September 2023，
  
  Revised：2023-11-29，
  
  Published Online：14 May 2024，
  
  Published：10 July 2024
- 稿件说明：
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郄聃,万海洋,张桐菲等.计及故障信息和需求不确定的应急物资灾前预布局与灾后调度[J].电力系统自动化,2024,48(13):120-129.

QIE Dan,WAN Haiyang,ZHANG Tongfei,et al.Pre-disaster Pre-layout and Post-disaster Scheduling of Emergency Materials Considering Uncertainties of Fault Information and Demand[J].Automation of Electric Power Systems,2024,48(13):120-129.
郄聃,万海洋,张桐菲等.计及故障信息和需求不确定的应急物资灾前预布局与灾后调度[J].电力系统自动化,2024,48(13):120-129. DOI： 10.7500/AEPS20230908002.

QIE Dan,WAN Haiyang,ZHANG Tongfei,et al.Pre-disaster Pre-layout and Post-disaster Scheduling of Emergency Materials Considering Uncertainties of Fault Information and Demand[J].Automation of Electric Power Systems,2024,48(13):120-129. DOI： 10.7500/AEPS20230908002.

摘要

为提高灾前、灾后电力抢修物资与抢修人员调度的协调性和鲁棒性，提出一种计及故障信息和物资需求双重不确定性的灾前电力抢修物资预布局与灾后协同调度策略。首先，灾前针对灾情预测信息和电力抢修物资的双重不确定性，考虑决策者对风险的偏好程度，建立基于均值-条件风险价值（CVaR）的双层物资调配分布鲁棒优化模型，上层以电力抢修物资配置成本最小为目标对物资中转点的选择及预置电力抢修物资的数量进行优化，下层基于均值-CVaR工具搜索最恶劣故障场景分布，并鲁棒优化故障场景下中转点到故障点的电力抢修物资分配策略，以求得故障损失成本；其次，灾后考虑物资和抢修人员调度的时序耦合约束，建立以停电损失最小为目标，以中转点分配至各故障点物资的种类及数量和抢修人员的调度计划为决策变量的混合整数线性规划模型；最后，通过118节点实际配电网系统进行仿真分析，验证了所提策略的有效性。

Abstract

In order to improve the coordination and robustness of pre-disaster and post-disaster power repair materials and repair crew scheduling

a pre-disaster pre-layout and post-disaster collaborative scheduling strategy for power repair materials considering the dual uncertainties of fault information and material demand is proposed. Firstly

in view of the dual uncertainties of pre-disaster forecasting information and power repair material

considering the degree of risk preference of decision makers

a distributed robust optimization (DRO) model of two-layer material allocation distribution based on the mean-conditional value-at-risk (CVaR) is established. The upper layer optimizes the selection of material transfer points and the number of preset power repair materials with the goal of minimizing the cost of power repair material allocation. The lower layer searches for the worst fault scenario distribution based on the mean-CVaR tool

and robust optimizes the power repair material allocation strategy from the transfer point to the fault point in the fault scenario to obtain the fault loss cost. Secondly

considering the post-disaster time series coupling constraints of material and repair crew scheduling

a mixed-integer linear programming model is established with the goal of minimizing the outage loss

the type and number of materials allocate to each fault point from the transfer point and the repair crew scheduling as decision variables. Finally

through the simulation analysis of the actual 118-bus distribution network

the effectiveness of the proposed strategy is verified.

关键词

Keywords

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