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作 者:高玉昕 王国庆 朱建明 黄钧 GAO Yuxin;WANG Guoqing;ZHU Jianming;HUANG Jun(School of Engineering Science,University of Chinese Academy of Science,Beijing 100190,China)
机构地区:[1]中国科学院大学工程科学学院,北京100190
出 处:《中国安全生产科学技术》2020年第12期44-49,共6页Journal of Safety Science and Technology
基 金:国家自然科学基金项目(72074202)。
摘 要:为最小化灾后配电网损失量,准确描述完整维修队工作时间(分为路途时间与具体维修时间),依据台风路径对维修队所需路途时间进行分类,并利用期望概率描述具体维修时间的不确定性。建立2阶段分布式鲁棒优化模型,采用CCG算法分析国内某地区配电网算例发现:考虑维修时间不确定性可以有效减少配电网损失量。In order to accurately describe the maintenance time,so as to minimize the loss of power distribution network after a disaster,the complete working time of the maintenance team(subdivided into travel time and specific maintenance time)was described.According to the typhoon path,the travel time of maintenance team was classified,and the expected probability was used to describe the uncertainty of the specific maintenance time,then a two-stage distributed robust optimization model was established.The CCG algorithm was used to analyze the results of a domestic regional power distribution network example.The results showed that considering the uncertainty of maintenance time could effectively reduce the loss of power distribution network.
分 类 号:X934[环境科学与工程—安全科学]
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