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A Power Quality Evaluation Method Using Optimal Algorithm for Combining Subjective and Objective Weight Information

机译:一种功率质量评估方法,其利用主观和客观重量信息结合的优化算法

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Power Quality information is not only an important part of AMl (Advanced Metering Infrastructure) in smart grid and is an important part of technical support system of the electricity market, but also is one of the constraints in making tariff policy, so the power quality monitoring and evaluation is necessary of smart grid development and operation of power market, in this paper, A new hierarchy model for power quality evaluation is presented to quantify and evaluate the power quality. In the comprehensive evaluation method of multi-index,the weight information has a very important impact on evaluation result, based on subjective and objective weighting methods,this paper presents a combinational evaluation method resulting in consistency between subjective and objecuve evaluation in the least squares sense, then bring out a improved fuzzy synthetic evaluation method based on reliability code. The proposed method can overcome the shortages of the traditional fuzzy synthetic evaluation, Case results clearly show that the proposed method is attractive and effective.
机译:电力质量信息不仅是智能电网中AML(高级计量基础设施)的重要组成部分,是电力市场技术支持系统的重要组成部分,也是拨款政策的制约因素之一,因此电力质量监测并评估是智能电网开发和电力市场运行所必需的,本文提出了一种新的电能质量评估层次模型,以量化和评价电能质量。在多索引的综合评价方法中,重量信息对评估结果具有非常重要的影响,基于主观和客观的加权方法,提出了一种组合评估方法,从而在最小二乘意义上的主观和Objecuve评估之间的一致性。然后,基于可靠性代码提出改进的模糊综合评估方法。所提出的方法可以克服传统模糊合成评价的短缺,案例结果清楚地表明,所提出的方法具有吸引力和有效。

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