基于时序区间值模糊软集的电能质量综合评价

Comprehensive evaluation of power quality based on time-series interval valued fuzzy soft set

为使评价结果全面体现电能质量扰动的波动性、时序性等特征,本文提出一种基于时序区间值模糊软集的电能质量综合评价方法。考虑电能质量扰动的波动性特点,将评价周期内各时段的监测数据表示成区间值形式,构建时序区间值模糊软集;考虑电能质量扰动的时序性特点,将评价周期按照季节和时段进行横纵向分割,通过指标加权和纵横向时序集成,实现地区电能质量的多维度综合评价。算例结果表明,本文所提方法能有效避免单一数据评价方式的片面性,并能计及扰动的波动性和时序性从不同时间维度对各测点电能质量进行评价,且评价结果全面、具体。

In order to fully reflect the fluctuation and timing characteristics of power quality disturbance,a comprehensive power quality evaluation method based on time-series interval valued fuzzy soft set was proposed.Considering the fluctuation characteristics of power quality disturbance,the monitoring data of each time period in the evaluation cycle were expressed as interval value form,and the time-series interval value fuzzy soft set was constructed.Considering the time-series characteristics of power quality disturbance,the evaluation cycle was divided horizontally and vertically according to seasons and time periods,and the multi-dimensional comprehensive evaluation of regional power quality was realized by index weighting and time-series integration.Numerical example results show that the proposed method can effectively avoid the single data evaluation method respectively,and can gauge and the volatility and timing of the disturbance from different time dimension of each measuring point to evaluate the power quality.The evaluation results are comprehensive and detail.