摘要
针对多能源送端系统中电、热、气传输时间尺度不同所导致的能量流一体化传输控制难度增加的问题,文章通过研究多能源送端系统各能量流传输特性,根据不同能量流传输时间尺度的差异,提出了一种基于数字孪生的多能源送端电网多时间尺度协同优化控制方法。首先,根据送端系统中各能量流不同传输时间尺度,建立不同能量流传输动态模型;其次,结合数字孪生模型架构,建立多能源送端系统数字孪生控制架构模型;再次,分析多能源系统能量流信息耦合特性,建立了基于数字孪生的多能源控制模型;最后,以我国东北某多能源送端系统进行仿真,结果表明,所提控制方法能够实现多能源系统中信息的快速感知、传输、控制,进而提高送端系统输出功率的稳定性。
In view of the difficulty of energy flow integrated transmission control increases due to the different transmission time scales of electricity,heat and gas in multi-energy sending-end systems,this paper studies the transmission characteristics of each energy flow in multi-energy sending-end systems.According to the difference of different energy flow transmission time scales,a multi-time scale collaborative optimization control method of multi-energy sending-end power grid based on digital twin is proposed.Firstly,according to the different transmission time scales of each energy flow in the sending system,different energy flow transmission dynamic models are established.Secondly,combined with the digital twin model structure,the digital twin control architecture model of the sending-end multi-energy system is established.Thirdly,the energy flow information coupling characteristics of multi-energy system are analyzed,and a multi-energy control model based on digital twin is established.Finally.The simulation results of a multi-energy sending-end system in Northeast China show that the proposed control method can realize the rapid perception,transmission and control of information in the multi-energy system,and then improve the stability of the output power of the sending-end system.
作者
陈远东
孟辉
张海龙
史文江
张超
汪振宇
阎乃臣
顾大可
Chen Yuandong;Meng Hui;Zhang Hailong;Shi Wenjiang;Zhang Chao;Wang Zhenyu;Yan Naichen;Gu Dake(Inner Mongolia Ultra High Voltage Branch of State Grid East Inner Mongolia Electric Power Co.,Ltd,Xilinhot 026099,China;Northeast Electric Power University,Jilin 132012,China)
出处
《可再生能源》
CAS
CSCD
北大核心
2023年第10期1376-1382,共7页
Renewable Energy Resources
基金
国网内蒙古东部电力有限公司科技项目(SGMDJX00YJJS2100278)。
关键词
送端系统
数字孪生
多能源系统
多时间尺度
sending-end system
digital twin
multi-energy system
multiple time scales
