基于DTW联合贝叶斯压缩感知算法的配变线变关系辨识OA
Identification of Distribution Line Transformer Relationship Based on DTW Combined With Bayesian Compressed Sensing Algorithm
为了解决 10 kV馈线的线变关系问题,提出基于动态时间规整(dynamic time warping,DTW)联合贝叶斯压缩感知算法的配变线变关系辨识方法.首先,分析线变不一致的运行场景,建立配变线变关系的辨识模型——电压、电量混合模型;其次,采用DTW算法辨识母线与配变的隶属关系,实现配变线变关系的初步快筛;然后,采用贝叶斯压缩感知算法求解混合模型中的电量方程,求解隶属矩阵的值,实现配变线变关系的辨识;最后,采用实际运行数据验证该算法辨识的准确性与普遍性.
In order to solve the problem of line transformer relationship between 10 kV feeder lines,it proposes a method for identif-ying line transformer relationship based on the dynamic time warping(DTW)joint Bayesian compressed sensing algorithm.Firstly,it analyzes the operating scenarios of inconsistent line changes in distribution lines,and establishes an identification model for the line transformer relationship between distribution and line changes-a mixed model of voltage and electricity.Secondly,it uses the DTW algorithm to identify the membership relationship between the busbar and the distribution transformer,achieving preliminary rapid screening of the line transformer relationship.Then,it uses the Bayesian compressed sensing algorithm to solve the electricity equation in the mixed model,solves and the values of the membership matrix to identify the line transformer relationship.Finally,it verifies the accuracy and universality of the algorithm identification using actual operating data.
郑永烨;陈少伟
福建省送变电工程公司,福建 福州 350001国网福建省电力有限公司漳州供电公司,福建 漳州 363000
信息技术与安全科学
线变关系DTW算法贝叶斯压缩感知电压波动电量守恒
line transformer relationshipDTW algorithmbayesian compressed sensingvoltage fluctuationsconservation of elec-tricity
《东北电力技术》 2026 (1)
34-42,9
国网福建省电力有限公司科技项目(52135024000B)
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