泛在电力物联网下用户侧分布式电源P2P优化调度研究  

Research on P2P Optimal Scheduling of User Side Distributed Generation Under Ubiquitous Power Internet of Things

作　　者：肖勇 喻洁[2] 张新森 钱斌 王岩 张彤彤 XIAO Yong;YU Jie;ZHANG Xinsen;QIAN Bin;WANG Yan;ZHANG Tongtong(Electric Power Research Institute,CSG,Guangzhou 510080,P.R.China;School of Electrical Engineering,Southeast University,Nanjing 210096,P.R.China)

机构地区：[1]南方电网科学研究院有限责任公司,广州510080 [2]东南大学电气工程学院,南京210096

出　　处：《应用数学和力学》2020年第12期1358-1368,共11页Applied Mathematics and Mechanics

摘　　要：泛在电力物联网(UPIoT)基于能够充分利用先进的通信技术实现电力系统发、输、配、用各环节的广泛互联,其可为分布式电源(DG)的调度大量接入提供技术支撑.在泛在电力物联网的背景下,基于将P2P技术的思想用于建立分布式电源的去中心化调度架构,使分布式电源之间基于通信进行信息交互完成P2P优化调度.建立的分布式电源P2P优化调度模型采用分布式次梯度算法,在各分布式电源之间进行交互迭代寻优求解,并依据算法收敛性要求构造各节点之间的双随机特性联接矩阵.最后,通过算例验证了优化模型及其求解方法的可行性和有效性,并且讨论了泛在电力物联网中可能存在的信息中断、信息误码等情况对P2P优化调度的影响.The ubiquitous power internet of things(UPIoT)can make full use of advanced communication technologies to realize the wide interconnection of power generation,transmission,distribution and use in the power system,thus providing technical support for the massive access of distributed generations(DGs).Under the background of the UPIoT,the idea of the P2P technology was applied to establish the decentralized scheduling architecture of distributed generations,so that the optimal scheduling could be completed through information interaction based on communication among distributed generations.The distributed sub-gradient algorithm was applied to solve the established P2P optimal scheduling model,and the doubly stochastic matrix was introduced to construct the connection matrix between nodes in the UPIoT.Finally,the feasibility and effectiveness of the optimization model and its solution method were verified through simulation examples,and the interrupts and errors that may be encountered in the communication process were also discussed.

关 键 词：泛在电力物联网 P2P优化调度 双随机矩阵 分布式次梯度算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]