南方电网技术2025，Vol.19Issue(2)：10-18,9.DOI:10.13648/j.cnki.issn1674-0629.2025.02.002
基于CA-WOA-BP算法的调度数据网鲁棒性预测
Robustness Prediction of Dispatching Data Network Based on CA-WOA-BP Algorithm
摘要
Abstract
Evaluation and prediction of power network system robustness are conducive to system managers'ability to perceive the current status of network system operations and take timely measures to cope with potential risks.Therefore,a robustness prediction model for power dispatching data network is proposed based on an improved whale optimization algorithm.Firstly,an evaluation index system for the robustness of the power dispatching data network is constructed and data dimensionality reduction processing is designed based on methods such as field extraction and formula mapping.Moreover,an improved chaotic mapping and adaptive weight-whale optimization algorithm(CA-WOA-BP)is proposed based on chaotic mapping and adaptive weights(WOA-BP)and a power network robustness prediction method is established.Experimental results show that compared with the WOA-BP algorithm,the proposed improved algorithm speeds up the convergence of the prediction model while overcoming the situation of falling into local optima and reduces the absolute error percentage of the predicted values by 5.3%,which helps users to discover the robustness of power dispatching data network systems more accurately and timely.关键词
电力调度数据网/鲸鱼优化算法/混沌映射/自适应权重/网络鲁棒性预测Key words
power dispatching data network/whale optimization algorithm/chaotic mapping/adaptive weights/network robustness prediction分类
动力与电气工程引用本文复制引用
陈斌,李泽科,余斯航,郭久煜,林碧海,刘延华..基于CA-WOA-BP算法的调度数据网鲁棒性预测[J].南方电网技术,2025,19(2):10-18,9.基金项目
国家自然科学基金资助项目(62072109) （62072109）
国网福建省电力有限公司科技项目(ERP.52130021004Q). Supported by the National Natural Science Foundation of China(62072109) （ERP.52130021004Q）
the Science and Technology Project of State Grid Fujian Electric Power Co.,Ltd.(ERP.52130021004Q). （ERP.52130021004Q）
