电力系统黑启动决策方法比较研究  被引量:1

Comparison of Black-start Decision Making Methodsin the Power System Restoration

在线阅读下载全文

作  者:冷亚军 吴宗育 时浩 刘鹏飞 LENG Ya-jun;WU Zong-yu;SHI Hao;LIU Peng-fei(College of Economics and Management,Shanghai University of Electric Power,Shanghai 200090,China)

机构地区:[1]上海电力大学经济与管理学院,上海200090

出  处:《运筹与管理》2022年第7期161-166,共6页Operations Research and Management Science

基  金:国家自然科学基金资助项目(71601109);上海市哲学社会科学规划课题(2016EGL001)。

摘  要:黑启动作为电力体系安全防御和事故后快速恢复的措施之一,其路径的合理选择对电力系统快速恢复供电具有重要意义。近年来,学者们从不同角度提出了多种黑启动方案决策方法,然而并没有实现各决策方法间的优劣比较。本文引入平均绝对偏差公式,设计了一种黑启动决策方法比较策略,实现了黑启动决策方法的量化比较。在所提比较策略基础上,对常用的黑启动权重确定方法和排序方法进行了实验分析,广东电网上的实验结果表明基于标准差权重和TOPSIS排序的黑启动决策方法具有最高的准确性。本文的价值在于:(1)提出了一种新的比较策略,使黑启动决策方法的量化比较成为可能;(2)通过大量实验确定了一种优化的黑启动决策方法,为后续黑启动决策研究提供了比较基准。For restoring the power system fast,reasonable selection of black-start schemes is very important.For recent years,scholars have proposed lots of black-start decision making methods.However,they are not able to compare their methods with the existing methods,and to reveal that their methods perform better.In this article,based on Mean Absolute Error,we propose a comparison strategy between black-start decision making methods,and make the quantitative analysis between different methods possible.Experiments are carried out on the data of black-start path of Guangdong power grid.We compare some commonly used weight determination methods and ranking methods.The results show that the black-start decision making method based on standard deviation weight and TOPSIS is superior to the other methods.The main contributions of this article are as follows:(1)A novel comparison strategy is proposed,all black-start decision making methods can be compared according to this strategy.(2)An optimal black-start decision making method is determined,which provides a evaluation standard for other scholars of black-start decision making.

关 键 词:电力系统 黑启动 比较策略 平均绝对偏差 

分 类 号:F407.6[经济管理—产业经济]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象