基于混合基因表达式编程的高维配电低压台区综合评价法优化分析

Optimal Analysis of Comprehensive Evaluation Method for High-Dimensional Distribution Low-Voltage Station Area Based on Hybrid Gene Expression Programming

分析混合基因表达式编程算法GEP对配电低压台区运行状态的评价和预测效果。构建改进遗传算法的GEP函数,并利用Java17.0软件对高维配电低压台区的运行状态进行仿真分析,结果显示GEP算法对高维配电低压台区的运行状态评价误差在[0.1,0.3],R 2调整值为0.967,结果准确度较高,且信度较好,适合于复杂的低配电台区状态的预测和评价,具有很强的实践性。

The evaluation and prediction effect of hybrid gene expression programming(GEP)on the operation status of distribution low-voltage stations were analyzed.The GEP function of improved genetic algorithm was constructed,and the running state of high dimension distribution low voltage substation area was simulated and analyzed by using java17.0 software.The results showed that the error of GEP algorithm was between[0.1,0.3]and the R 2 adjustment value was 0.967.The result was accurate and reliable.Therefore,the GEP algorithm was suitable for the prediction and evaluation of complex low distribution station state,and the prediction efficiency and accuracy were high,so it had strong practicality.