引用本文: | 杨欢红,丁宇涛,周敬嵩,等.基于最优权重和区间灰数动态灰靶的变压器状态评估[J].电力系统保护与控制,2019,47(7):66-74.[点击复制] |
YANG Huanhong,DING Yutao,ZHOU Jingsong,et al.A condition assessment method of transformers based on optimal weight and dynamic grey target with interval grey number[J].Power System Protection and Control,2019,47(7):66-74[点击复制] |
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摘要: |
目前变压器状态评估未考虑多阶段指标信息的变化趋势,且评估指标的权重确定相对简单,造成整体评估的偏差。针对此现状,提出一种基于最优权重和区间灰数动态灰靶的变压器状态评估方法。选取状态评估指标,将指标数据分为效益型和成本型两类,并进行规范化处理。采用层次分析法赋予指标的主观权重;引入方差和均差来衡量指标数据的波动性,赋予指标的客观权重,依据相对熵原理建立优化模型确定指标的最优权重。考虑变压器多阶段状态信息集结和指标的变化趋势,提出基于区间灰数动态灰靶评估方法,以综合靶心度来评估变压器的状态。利用某变电站多台变压器多阶段的历史数据进行算例分析,验证了该状态评估方法的有效性和准确性。 |
关键词: 变压器 状态评估 最优权重 区间灰数 动态灰靶 |
DOI:10.7667/PSPC180450 |
投稿时间:2018-04-19修订日期:2018-06-11 |
基金项目:国家自然科学基金项目(51777119);浙江省电力科技项目(2017-HZJTKJ-03) |
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A condition assessment method of transformers based on optimal weight and dynamic grey target with interval grey number |
YANG Huanhong,DING Yutao,ZHOU Jingsong,YU Jingfeng,ZHU Binquan,WANG Jie |
(Shanghai University of Electric Power, Shanghai 200090, China;State Grid Zhejiang Deqing Power Supply Company, Huzhou 313000, China) |
Abstract: |
For the time being, the condition assessment of transformer doesn’t take the variation of multi-stage information into consideration and the weight determination of assessment index is relatively simple, causing the overall assessment bias. Against that, this paper proposes a transformer condition assessment model based on optimal weight and dynamic grey target with interval grey number. First of all, it selects the status assessment indicator and classifies the index data into efficiency index and cost index and then makes normalized treatment. Secondly, AHP is used to assign the subjective weights of the indicators; the variance difference and the mean difference are introduced to measure the volatility of the interval index data and the objective weight is given. The optimal weight of the index is determined by establishing the optimal model based on relative entropy principle. Next, an assessment method based on dynamic grey target evaluation model of interval grey number is proposed considering the accumulation of transformer phase information and the dynamic change of index, which seeks approaching degree to evaluate the state of transformers. Finally, the multi-stage historical data of multiple transformers in a substation is analyzed, and the objectivity and validity of the method are verified. This work is supported by National Natural Science Foundation of China (No. 51777119). |
Key words: transformer condition assessment optimal weight interval grey number dynamic grey target |