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

机译:结合主客观权重信息的最优算法电能质量评估方法

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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:电能质量信息不仅是智能电网中AM1(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,也是制定电价政策的制约因素之一,因此电能质量监控评估是智能电网发展和电力市场运行的必要条件,本文提出了一种新的电力质量评估层次模型,对电力质量进行量化和评估。在多指标综合评价方法中,权重信息对评价结果有非常重要的影响,在主观和客观加权方法的基础上,提出了一种组合评价方法,可以在最小二乘意义上实现主观评价与客观评价的一致性。然后提出了一种改进的基于可靠性代码的模糊综合评价方法。所提出的方法可以克服传统模糊综合评价方法的不足,实例结果表明,所提出的方法具有吸引力和有效性。

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