电力系统及其自动化学报2024，Vol.36Issue(4)：30-37,8.DOI:10.19635/j.cnki.csu-epsa.001265
基于概率图与功率优化模型的户变关系识别
Identification of Transformer-customer Relationship Based on Probability Map and Power Optimization Model
摘要
Abstract
The transformer-customer relationship refers to the electrical connection relationship between distribution transformers and the end customers to which they supply power,and the accurate transformer-customer relationship is a basis for the operation and management of low-voltage distribution networks.Under this background,a method for iden-tifying the transformer-customer relationship in low-voltage distribution networks based on probability map and power optimization model is proposed in this paper.First,the Markov random fields probabilistic map model is used to calcu-late the voltage correlations between end customers.Then,the customers are aggregated and calculated to obtain a new customer set,which greatly reduces the calculation dimension.Finally,based on the new customer set,a power optimi-zation model between the customer set and the distribution transformer is established using the power conservation prin-ciple,thereby realizing an accurate identification of the transformer-customer relationship in low-voltage distribution networks.The effectiveness and robustness of the proposed method are verified by the data of an actual low-voltage dis-tribution network.关键词
低压配电网/户变关系识别/概率图/电压相关性/功率平衡Key words
low-voltage distribution network/transformer-customer relationship identification/probability map/volt-age correlation/power conservation分类
信息技术与安全科学引用本文复制引用
胡慧琳,李梁,孙智卿,宣羿,金旻昊..基于概率图与功率优化模型的户变关系识别[J].电力系统及其自动化学报,2024,36(4):30-37,8.基金项目
国家自然科学基金资助项目(51907114) （51907114）
上海市教育发展基金会和上海市教育委员会"晨光计划"资助项目(19CG61) （19CG61）
