电压暂降特性及严重程度综合评估方法研究
发布时间：2019-06-28 09:53
【摘要】：本文针对电压暂降特性及严重程度综合评估展开研究。在电压暂降特性研究方面,以我国四个大型城市电网电能质量监测系统中电压暂降实测数据为基础,从典型波形、统计表格、累计概率、暂降相序四个方面对暂降事件进行分类统计。通过对典型波形的分类统计,分析电压暂降的描述特性;依据统计表格、累计概率曲线与暂降相序的统计结果分析暂降事件的分布特性,并给出了相关结论。在电压暂降严重程度评估方面,为克服现有评估指标的不足,针对不同的电压暂降评估需求,本文提出了两种评估方法:1)提出了基于一种新型描述的电压暂降严重程度综合评估方法,该方法适用于单次事件、节点及系统电压暂降的精确评估。基于IEC61000-2-8统计表格确定评价指标及等级划分;提出了影响度的概念,通过熵权法将层次分析法与权值函数法计算的各特征量影响度值相结合;采用多暂降阈值和持续时间序列的电压暂降新型描述方法与标准化模值计算方式定义了相关的综合影响度指标。其特点为利用熵权法将层次分析法与权值函数法相结合,综合考虑了主、客观性,采用新型描述方法更加准确地反映了电压暂降实际波形特征,令评估结果更加准确。2)提出了一种基于组合赋权与TOPSIS模型的电压暂降严重程度综合评估方法,该方法适用于多个节点或系统间暂降严重性的整体评比。以SARFI指标、平均暂降能量指标与暂降严重性指标为元素建立属性集合。采用熵权法与变异系数法计算各指标组合权值,计算各评估对象与模型中正理想解的加权距离及相对近似度,并据此判断暂降严重程度。该方法的特点是将三个典型评估指标综合考虑,保证了评估结果的正确性,组合权值既从整体又从局部反映了各指标相对重要程度,TOPSIS模型原理简单,易于实现,评估结果具有相对性。依托某城市电网电压暂降监测数据,对上述两种方法进行实例分析,通过与现有典型指标评估结果的对比分析,验证了所提出两种方法的正确性。
[Abstract]:In this paper, the comprehensive evaluation of voltage sag characteristics and severity is studied. In the study of voltage sag characteristics, based on the measured data of voltage sag in power quality monitoring systems of four large cities in China, the sag events are classified and counted from four aspects: typical waveform, statistical table, cumulative probability and sag phase sequence. Through the classification and statistics of typical waveforms, the description characteristics of voltage sag are analyzed, and the distribution characteristics of sag events are analyzed according to the statistical results of cumulative probability curve and sag phase sequence, and the related conclusions are given. In order to overcome the shortcomings of the existing evaluation indexes, two evaluation methods are proposed in this paper: 1) based on a new description, a comprehensive evaluation method of voltage sag severity is proposed, which is suitable for the accurate evaluation of single event, node and system voltage sag. Based on IEC61000-2-8 statistical table, the evaluation index and grade classification are determined, the concept of influence degree is put forward, the influence value of each characteristic quantity calculated by analytic hierarchy process (AHP) and weight function method is combined by entropy weight method, and the related comprehensive influence index is defined by using the new description method of voltage sag of multiple sag threshold and duration time series and the standardized modulus calculation method. Its characteristics are that the analytic hierarchy process (AHP) and the weight function method are combined by entropy weight method, and the main and objective are considered synthetically, and the new description method is used to reflect the actual waveform characteristics of voltage sag more accurately, which makes the evaluation result more accurate. 2) A comprehensive evaluation method of voltage sag severity based on combination weighting and TOPSIS model is proposed, which is suitable for the overall evaluation of sag severity between multiple nodes or systems. Taking SARFI index, average sag energy index and sag severity index as elements, the attribute set is established. Entropy weight method and coefficient of variation method are used to calculate the combined weights of each index, and the weighted distance and relative similarity between each evaluation object and the positive ideal solution in the model are calculated, and the severity of sag is judged. The characteristic of this method is that the three typical evaluation indexes are considered comprehensively to ensure the correctness of the evaluation results, and the combined weights reflect the relative importance of each index both as a whole and locally. The principle of TOPSIS model is simple and easy to realize, and the evaluation results are relative. Based on the monitoring data of voltage sag in a city power grid, the above two methods are analyzed by examples, and the correctness of the two methods is verified by comparing with the evaluation results of the existing typical indexes.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM714.2
本文编号：2507202
[Abstract]:In this paper, the comprehensive evaluation of voltage sag characteristics and severity is studied. In the study of voltage sag characteristics, based on the measured data of voltage sag in power quality monitoring systems of four large cities in China, the sag events are classified and counted from four aspects: typical waveform, statistical table, cumulative probability and sag phase sequence. Through the classification and statistics of typical waveforms, the description characteristics of voltage sag are analyzed, and the distribution characteristics of sag events are analyzed according to the statistical results of cumulative probability curve and sag phase sequence, and the related conclusions are given. In order to overcome the shortcomings of the existing evaluation indexes, two evaluation methods are proposed in this paper: 1) based on a new description, a comprehensive evaluation method of voltage sag severity is proposed, which is suitable for the accurate evaluation of single event, node and system voltage sag. Based on IEC61000-2-8 statistical table, the evaluation index and grade classification are determined, the concept of influence degree is put forward, the influence value of each characteristic quantity calculated by analytic hierarchy process (AHP) and weight function method is combined by entropy weight method, and the related comprehensive influence index is defined by using the new description method of voltage sag of multiple sag threshold and duration time series and the standardized modulus calculation method. Its characteristics are that the analytic hierarchy process (AHP) and the weight function method are combined by entropy weight method, and the main and objective are considered synthetically, and the new description method is used to reflect the actual waveform characteristics of voltage sag more accurately, which makes the evaluation result more accurate. 2) A comprehensive evaluation method of voltage sag severity based on combination weighting and TOPSIS model is proposed, which is suitable for the overall evaluation of sag severity between multiple nodes or systems. Taking SARFI index, average sag energy index and sag severity index as elements, the attribute set is established. Entropy weight method and coefficient of variation method are used to calculate the combined weights of each index, and the weighted distance and relative similarity between each evaluation object and the positive ideal solution in the model are calculated, and the severity of sag is judged. The characteristic of this method is that the three typical evaluation indexes are considered comprehensively to ensure the correctness of the evaluation results, and the combined weights reflect the relative importance of each index both as a whole and locally. The principle of TOPSIS model is simple and easy to realize, and the evaluation results are relative. Based on the monitoring data of voltage sag in a city power grid, the above two methods are analyzed by examples, and the correctness of the two methods is verified by comparing with the evaluation results of the existing typical indexes.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM714.2
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