基于组合赋权的非介入式终端辨识能力灰色TOPSIS评价
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TM933

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国家重点研发计划资助项目“城区用户与电网友好互动系统”(2016YFB0901100)


Grey TOPSIS evaluation of non intrusive terminal identification ability based on combination weighting
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    摘要:

    非介入式负荷辨识终端克服了传统侵入式终端成本高、安装复杂和维护不便的问题,得以广泛应用。但目前仅通过电量指标对非介入式终端负荷辨识能力进行评价,评价体系单一。为此,文中选取多维指标综合衡量终端对电器负荷的辨识能力,并据此构建了非介入式终端分层多组评价模型;利用熵权-层次分析法(AHP)组合评价技术得到指标的组合权值;在此基础上,利用灰色逼近理想解排序(TOPSIS)评价对电器组合案例的电器辨识能力进行分类、灰色排序,从而客观地得到终端整体辨识能力水平及不同案例下终端辨识能力好坏。最后,在非介入式终端实证平台选取4种典型电器,验证了文中方案可解决评估指标数据不完全的问题,结合实际工程的终端辨识能力校验,提高了非侵入负荷辨识终端辨识能力评价的科学性和有效性。

    Abstract:

    Non-intrusive terminal overcomes the problems of high cost, complex installation and inconvenient maintenance of the traditional intrusive terminal, and is widely used. However, the non intrusive terminal load identification ability is only evaluated by electricity index, and the evaluation system is single presenly. Therefore, multi-dimensional indicators are selected to comprehensively measure the terminal's ability to identify electrical loads, and a hierarchical multi group evaluation model of non-intrusive terminals is construct based on it. Entropy weight and analytic hierarchy process(AHP) combination evaluation technology is used to get the combination weight of indicators. On this basis, by using the grey technique for order preference by similarity to an ideal solution(TOPSIS) evaluation method, the electric appliance identification ability of the electric appliance combination cases are classified and sorted, so as to objectively obtain the overall identification ability level of the terminal and the quality of the terminal identification ability in different cases. Finally, four typical electrical appliances are selected from the non intrusive terminal demonstration platform of Jiangsu Electric Power Research Institute to verify that the scheme solves the problem of incomplete evaluation index data. Combined with the terminal identification ability verification of practical projects, the scientificity and effectiveness of the non-invasive load identification terminal identification ability evaluation are improved.

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范洁,杨世海,武文广,曹晓冬,陈浩.基于组合赋权的非介入式终端辨识能力灰色TOPSIS评价[J].电力工程技术,2020,39(6):110-116,131

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历史
  • 收稿日期:2020-06-20
  • 最后修改日期:2020-07-16
  • 录用日期:2020-06-05
  • 在线发布日期: 2020-12-01
  • 出版日期: 2020-11-28
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