考虑地区差异的电网设备运行效率评估

doi:10.11930/j.issn.1004-9649.20150213

中国电力 ›› 2018, Vol. 51 ›› Issue (2): 61-66.DOI: 10.11930/j.issn.1004-9649.20150213

考虑地区差异的电网设备运行效率评估

关玉衡¹, 汪隆君², 孙川², 张跃³, 张俊潇⁴

1. 广东电网有限责任公司电力调度控制中心, 广东广州 510600;
2. 华南理工大学电力学院, 广东广州 510640;
3. 广东电网有限责任公司电力科学研究院, 广东广州 510080;
4. 广东电网发展研究院有限责任公司, 广东广州 510080

收稿日期:2016-02-06 修回日期:2017-09-13 出版日期:2018-02-05 发布日期:2018-02-11
作者简介:关玉衡(1991—),男,吉林市人,硕士,从事电力系统规划及可靠性研究,E-mail:yuheng.guan@foxmail.com。
基金资助:
国家自然科学基金资助项目（51307063）；教育部高等学校博士学科点专项科研基金资助项目（20120172120042）。

Utilization Evaluation of Power Grid Equipment Considering Regional Differences

GUAN Yuheng¹, WANG Longjun², SUN Chuan², ZHANG Yue³, ZHANG Junxiao⁴

1. Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd, Guangzhou 510600, China;
2. School of Electric Power, South China University of Technology, Guangzhou 510640, China;
3. Electric Power Research Institute of Guangdong Power Grid Co. Ltd, Guangzhou 510080, China;
4. Guangdong Power Grid Development Research Institute Co. Ltd, Guangzhou 510080, China

Received:2016-02-06 Revised:2017-09-13 Online:2018-02-05 Published:2018-02-11
Supported by:
This work is supported by National Natural Science Foundation of China(No. 51307063); the Research Fund for the Dectoral Program of Higher Education (No. 20120172120042).

摘要/Abstract

摘要： 由于社会经济发展不均衡、区域特性差异、统计数据质量有别等，电网设备运行效率评估缺乏同质性基础，影响评估结果的公允性。提出了电网设备运行效率评估三阶段方法，先应用规模报酬可变的数据包络分析模型获得投入松弛量，利用环境变量回归拟合松弛量后对投入变量作修正，再将修正后的投入变量代入数据包络分析模型作效率评估。实证分析表明：传统数据包络分析方法没有考虑环境因素影响导致欠发达地区电网设备运行效率被低估；环境因素影响大，其作用体现在电网设备运行效率值上；三阶段方法能更公允地评价电网设备运行效率。

关键词: 电网, 设备运行效率, 地区差异, 数据包络分析, 回归分析

Abstract: Due to the unbalance of social and economic development and the differences of regional features and statistical data quality, the utilization evaluation of power grid equipment lacks homogeneous base, and the fairness of the evaluation results is affected. A three-stage approach for utilization evaluation of power grid equipment is put forward. The approach first applies the data envelopment analysis model which has variable returns to scale in order to solve the input variable slacks. Second, the environment variables are used to fit the slacks with regression for adjusting the input variables. The adjusted input variables are substituted into the data envelopment analysis model to achieve the evaluation at last. It is demonstrated that 1) the traditional data envelopment analysis does not consider the environmental factors, which leads to the underestimation of the power grid equipment utilization in underdeveloped regions; 2) environmental factors have significant influences, which are reflected in the power grid equipment utilization; 3) the three-stage method can evaluate the power grid equipment utilization more truly and fairly.

Key words: power grid, equipment utilization, regional differences, data envelopment analysis, regression analysis

中图分类号:

TM615

关玉衡, 汪隆君, 孙川, 张跃, 张俊潇. 考虑地区差异的电网设备运行效率评估[J]. 中国电力, 2018, 51(2): 61-66.

GUAN Yuheng, WANG Longjun, SUN Chuan, ZHANG Yue, ZHANG Junxiao. Utilization Evaluation of Power Grid Equipment Considering Regional Differences[J]. Electric Power, 2018, 51(2): 61-66.

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https://www.electricpower.com.cn/CN/Y2018/V51/I2/61

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考虑地区差异的电网设备运行效率评估

Utilization Evaluation of Power Grid Equipment Considering Regional Differences

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