|本期目录/Table of Contents|

[1]何帔雨,李鹏,谢汝生,等.基于遗传算法的输电线路覆冰灾害应急响应物资储备决策优化模型[J].中国安全生产科学技术,2019,15(1):51-55.[doi:10.11731/j.issn.1673-193x.2019.01.008]
　HE Peiyu,LI Peng,XIE Rusheng,et al.Optimization model on decisionmaking of emergency response material reserve for icing disaster of power transmission line based on genetic algorithm[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(1):51-55.[doi:10.11731/j.issn.1673-193x.2019.01.008]
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基于遗传算法的输电线路覆冰灾害应急响应物资储备决策优化模型
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年1期
页码:
51-55
栏目:
学术论著
出版日期:
2019-01-31

文章信息/Info

Title:
Optimization model on decisionmaking of emergency response material reserve for icing disaster of power transmission line based on genetic algorithm
文章编号:
1673-193X(2019)-01-0051-05
作者:
何帔雨1; 李鹏1; 谢汝生1; 张松海1; 蒋建波1; 曹敏2
（1.云南大学 信息学院，云南 昆明 650091；2.云南电网有限责任公司电力科学研究院，云南 昆明 650217）
Author(s):
HE Peiyu1;  LI Peng1;  XIE Rusheng1;  ZHANG Songhai1;  JIANG Jianbo1;  CAO Min2
(1. School of Information Science and Engineering, Yunnan University, Kunming Yunnan 650091, China;2. Electric Power Research Institute, Yunnan Power Grid Corp., Kunming Yunnan 650217, China)
关键词:
遗传算法;  应急响应;  物资储备;  动态规划;  决策
Keywords:
genetic algorithm;  emergency response;  material reserve;  dynamic programming;  decisionmaking
分类号:
X933
DOI:
10.11731/j.issn.1673-193x.2019.01.008
文献标志码:
A
摘要:
为研究在输电线路覆冰情况下如何合理有效地储备应急物资，基于遗传算法最优决策理论，提出了1种输电线路覆冰灾害下应急响应物资储备模型。根据覆冰灾害的预测情况，计算出每月应急物资的需求量，以每月的采购量为决策变量，以最小储存成本为目标，得出最优储备方案，同时用动态规划对此模型进行求解，对2种寻优方法结果进行对比。以云南某供电局的冬季应急物资储备为例验证模型的有效性，其结果有助于提高电网部门应对冰冻灾害的能力和经济效益。
Abstract:
In order to study how to reserve the emergency material reasonably and effectively in the icing situation of power transmission line, a model of emergency response material reserve in the icing disaster of power transmission line was put forward based on the optimal decisionmaking theory of genetic algorithm. The demand of emergency material per month was calculated according to the prediction of icing disaster, and the optimal reserve scheme was obtained by taking the monthly purchase volume as the decisionmaking variable and taking the minimum reserve cost as the goal. Meanwhile, the model was solved by the dynamic programming, and the results of two optimizing methods were compared. The effectiveness of the model was verified by taking the emergency material reserve of a power supply bureau in Yunnan during the winter as an example. The results contribute to improve the capability and economic effect of the power grid departments to deal with the freezing disaster.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期： 2018-09-05
基金项目： 国家自然科学基金项目(61763049)；云南省应用基础研究重点课题(2018FA032)；云南省应用基础研究面上课题 (2017FB229)
作者简介： 何帔雨，硕士研究生，主要研究方向为电力系统可靠性分析与维护决策。
通信作者： 李鹏，博士，副教授，主要研究方向为电力系统可靠性分析与维护决策、电力物联网等。
更新日期/Last Update: 2019-01-31