机械与电子2024，Vol.42Issue(4)：50-54,59,6.
基于离散布谷鸟算法的综合能源系统电-气互联鲁棒状态估计方法
Robust State Estimation Method for Electric-gas Interconnection of Integrated Energy System Based on Discrete Cuckoo Algorithm
摘要
Abstract
Due to the non-uniform sampling time unit of the measuring device,the error of the GEIES measurement data is relatively large.To improve the accuracy of the GEIES state estimation,a robust state estimation method for the integrated energy system electric-gas interconnection based on the discrete cuckoo algorithm is proposed.The Bayesian measurement model is established to obtain the measurement data of gas network and power grid state estimation,and the completeness of the measurement data set is increased.In order to ensure that the GEIES state estimation results are not affected by noise factors,the Gaussian noise variance is set.The measurement results are substituted into the GEIES state estimation,and the power grid state estimation model and the gas network state estimation model are established re-spectively.The robust state estimation model of the integrated energy system electric-gas interconnection is established by combining the two.The discrete cuckoo algorithm is used to solve the model,and the opti-mal solution of the state estimation is obtained.The result of the example shows that the precision of the state estimation results of the designed method is high,and it can play the role of bad data identification,indicating that its state estimation effect is good.关键词
离散布谷鸟算法/综合能源系统/电-气互联/状态估计/贝叶斯量测模型Key words
discrete cuckoo algorithm/interated energy system/electric-gas interconnection state esti-mation/Bayesian measurement model分类
信息技术与安全科学引用本文复制引用
张丽洁,张章,齐晓光,王聪..基于离散布谷鸟算法的综合能源系统电-气互联鲁棒状态估计方法[J].机械与电子,2024,42(4):50-54,59,6.基金项目
国网河北省电力有限公司科技项目(5204JY22000K) （5204JY22000K）
