Application of Fuzzy Clustering in Measurement-Based Load Modeling
Yang Shao-bing · Power System Technology · 2006
An approach to classify hundreds of substations in a regional power grid by fuzzy clustering is proposed. When comprehensive loads in regional power grid are modeled based on measured data, the fuzzy clustering theory is applied to classify substations, in which the representative substations are chosen as the measured points to measure load features. Using transitive closure method based on fuzzy equivalent relation, the fuzzy classification of 234 substations in 220 kV system of Northeast power grid is conducted, thus the procedures of classifying substations by fuzzy clustering are verified. Classification results show that fuzzy clustering analysis method is feasible while the types of loads with indefinite bounds are used as the characteristics for substation classification.