基于自主学习特性的网络拓扑结构在虚拟电厂中的应用研究  

Research on the Application of Network Topology Based on Autonomous Learning in Virtual Power Plant

作　　者：王如荣[1] 杨李达 WANG Rurong;YANG Lida(Department of Information Engineering,Yangzhou Polytechnic Institute,Yangzhou Jiangsu 225127,China;Nanjing Yuan Huan Feng Electric Power Technology Co.,Ltd.,Nanjing Jiangsu 210001,China)

机构地区：[1]扬州工业职业技术学院信息工程学院,江苏扬州225127 [2]南京源桓丰电力科技有限公司,江苏南京210001

出　　处：《电子器件》2022年第4期985-990,共6页Chinese Journal of Electron Devices

基　　金：国网山东综合能源服务有限公司泰安地区电力需求侧管理平台资料维护项目(GTYHT/19-JS-218)。

摘　　要：虚拟电厂能有效解决分布式电源接入电网系统带来的冲击,优化电网的运行效率。准确计算可变化电网拓扑网络负荷是虚拟电厂关键技术,亦是亟需解决的关键问题。在兼顾安全性和经济性的前提下,分析分布式能源自动接入和可调节负荷接入,提出了自主学习型虚拟电厂网络拓扑结构,构建了相应的负荷计算数学模型和计算方法。并对一个包含有光伏及风电的虚拟电厂进行算例分析,验证了具有自主学习特性的网络拓扑结构对虚拟电厂研究的意义和应用推广价值。Virtual power plant can effectively solve the impact of distributed generation connected to power grid system and optimize the operation efficiency of power grid.Accurate calculation of variable power grid topology network load is not only the key technology of virtual power plant,but also the key problem to be solved urgently.On the premise of considering safety and economy,the automatic access of distributed energy and adjustable load access are analyzed,the network topology of autonomous learning virtual power plant is put forward,and the corresponding mathematical model and calculation method of load calculation are constructed.An example of a virtual power plant including photovoltaic and wind power is analyzed to verify the research significance and application value of the network topology with autonomous learning characteristics for the virtual power plant.

关 键 词：虚拟电厂 电网拓扑 电网负荷 自主学习 

分 类 号：TM61[电气工程—电力系统及自动化]