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With the accelerated construction of new power system，the harmonic characteristics of power grid are becoming more and more complex. It is of great significance to study the effective statistical management of harmonic data for evaluating the power quality of power grid. A statistical method of harmonic evaluation index based on maximum entropy principle was proposed. By recording and saving the average value and center distance of harmonic data，the maximum entropy principle was used to fit the probability distribution of harmonics，so as to save and identify the harmonic characteristics and facilitate data storage. Two harmonic evaluation criteria of harmonic 95% probability value and 99% probability value were obtained by using the fitted probability distribution，which ensures the accuracy and consistency of the index. Finally，the effectiveness of the proposed method was verified by the example analysis of harmonic measured data.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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