Multi-scene Adaptive Online State Estimation of Multi-energy Network: Development and Application

被引：0

作者：

Yin G. ^{[1
]}

Wang B. ^{[1
]}

Sun H. ^{[1
]}

Guo Q. ^{[1
]}

Pan Z. ^{[1
]}

机构：

[1] State Key Laboratory of Control and Simulation of Power System and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2020年 / 40卷 / 21期

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

Energy management system; Energy storage; Multi-energy flow; State estimation; Thermal dynamics;

D O I：

10.13334/j.0258-8013.pcsee.200519

中图分类号：

学科分类号：

摘要：

On-line state estimation can provide real-time, reliable, consistent and complete network state information for the optimal operation and security analysis of the multi-energy network, which is the basic function of the integrated energy management system. To realize the on-line state estimation, there are three main challenges: the universality of different multi-energy flow system scenarios, the difference among different energy network time scales, and the low redundancy of multi-energy network measurement configuration. Given the above challenges, a multi-scene adaptive on-line state estimation functional framework of the multi-energy network was designed. Several practical technologies, such as comprehensive observable analysis under multi-source measurement fusion, modular modeling, steady-state estimation model, dynamic state estimation model, and real-time energy storage state estimation, were proposed. This function is applied in several real tests, which proves the generality and practicability. © 2020 Chin. Soc. for Elec. Eng.

引用

页码：6794 / 6803

页数：9

共 25 条

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