采用数据挖掘技术预测与分析电力系统的电磁环境,从大量的模糊、随机和有噪声的电磁环境数据中提取有用信息.生成供参考的评估模型,依据分析结果选取抗干扰措施。最后通过一个小系统的算例结果证明该方法可行且有效。
To predict and analyze electromagnetic environment of power system, data mining technology was used. Useful information was extracted from abundant, noisy, random and fuzzy data of electromagnetic environment. A model was built to evaluate the results, and the anti-jamming measures were chosen according to the model. The example of a small system proves that the method is feasible and effective.