首页|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

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

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受量测装置采样时间单位不统一影响,GEIES量测数据误差较大,为提升GEIES状态估计精度,将离散布谷鸟算法应用至综合能源系统状态估计中,提出一种新的GEIES状态估计方法.建立贝叶斯量测模型获取气网和电网状态估计量测数据,增加量测数据集的完备性,为保证GEIES状态估计结果不受噪声因素影响,设置高斯噪声方差.将量测结果代入至GEIES状态估计中,分别建立电网状态估计模型和气网状态估计模型,并将二者结合建立综合能源系统电-气互联鲁棒状态估计模型,通过离散布谷鸟算法求解该模型,获取状态估计最优解.算例结果表明,不论是无噪声环境还是有噪声环境,所提方法的状态估计结果精度均较高,且能够起到坏数据辨识的作用,说明其状态估计效果较好.
Robust State Estimation Method for Electric-gas Interconnection of Integrated Energy System Based on Discrete Cuckoo Algorithm
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.

discrete cuckoo algorithminterated energy systemelectric-gas interconnection state esti-mationBayesian measurement model

张丽洁、张章、齐晓光、王聪

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国网河北省电力有限公司经济技术研究院,河北石家庄 050081

国网河北省电力有限公司石家庄供电分公司,河北 石家庄 050004

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

国家电网河北省电力公司科技项目

5204JY22000K

2024

机械与电子
中国机械工业联合会科技工作部 机械与电子杂志社

机械与电子

CSTPCD
影响因子:0.243
ISSN:1001-2257
年,卷(期):2024.42(4)
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