面向配电网弹性提升的应急发电车配置策略  

Configuration strategy of emergency generator vehicle for resilience enhancement of distribution networks

作　　者：黄牧涛 周胡钧 卢明 刘善峰 HUANG Mutao;ZHOU Hujun;LU Ming;LIU Shanfeng(School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China;Electric Power Research Institute of State Grid Henan Electric Power Company,Zhengzhou 450052,China)

机构地区：[1]华中科技大学电气与电子工程学院,湖北武汉430074 [2]国网河南省电力公司电力科学研究院,河南郑州450052

出　　处：《华中科技大学学报(自然科学版)》2025年第1期1-7,共7页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家电网有限公司总部管理科技项目(5400-202199555A-0-5-ZN).

摘　　要：提出一种应急发电车配置策略,以提升配电网在重大自然气象灾害下供电恢复能力,并将该问题转化为两阶段随机优化模型.第一阶段为投资规划阶段,考虑经济性约束确定应急发电车配置数量及功率容量.第二阶段为优化运行阶段,利用蒙特卡罗模拟生成多种配电网运行故障场景,以形成的孤岛负荷需求作为故障特征进行场景筛选得到典型故障场景,并以损失成本期望最小为目标进行配电网故障恢复.利用逐步对冲算法求解两阶段多场景随机规划模型.最后,利用IEEE33配电网节点算例进行仿真分析,验证所提出的应急发电车配置方法有效提升了配电网的弹性.An emergency power vehicle configuration strategy was proposed to enhance the power restoration capability of distribution net-works during significant natural meteorological disasters.The issue was transformed into a two-stage stochastic optimization model.The first stage is the investment planning phase,which involves determining the number and power capacity of emergency power vehicles under economic constraints.The second stage is the optimization operation phase,aiming to minimize the expected loss cost during distribution network failure recovery.Multiple distribution network operation failure scenarios were generated using Monte Carlo simulation and typical failure scenarios were then selected based on fault characteristics of formed islanding load.The two stage multi scenario stochastic programming model was solved by progressive hedging algorithm.Finally,the effectiveness of the proposed emergency power vehicle configuration method for enhancing the resilience of the distribution network was verified by the simulations of a IEEE 33 bus distribution system case.

关 键 词：配电网 弹性 应急发电车 多阶段随机规划 逐步对冲算法 

分 类 号：TM73[电气工程—电力系统及自动化]