A study of novel real-time power balance strategy with virtual asynchronous machine control for regional integrated electric-thermal energy systems

扫码查看

原文链接

万方数据
维普

外文摘要：The development of regional integrated electric-thermal energy systems(RIETES)is considered a promising direction for modem energy supply systems.These systems provide a significant potential to enhance the comprehensive utilization and efficient management of energy resources.Therein,the real-time power balance between supply and demand has emerged as one pressing concern for system stability operation.However,current methods focus more on minute-level and hour-level power optimal scheduling methods applied in RIETES.To achieve real-time power balance,this paper proposes one virtual asyn-chronous machine(VAM)control using heat with large inertia and electricity with fast response speed.First,the coupling time-scale model is developed that considers the dynamic response time scales of both electric and thermal energy systems.Second,a real-time power balance strategy based on VAM control can be adopted to the load power variation and enhance the dynamic frequency response.Then,an adaptive inertia control method based on temperature variation is proposed,and the unified expression is further established.In addition,the small-signal stability of the proposed control strategy is validated.Finally,the effectiveness of this control strategy is confirmed through MATLAB/Simulink and HIL(Hardware-in-the-Loop)experiments.

外文关键词：

regional integrated electric-thermal energy systemsreal-time power balancevirtual asynchronous machineadaptive inertiasmall-signal stability

作者：

WANG Rui、LI Ming-Jia、WANG YiBo、SUN QiuYe、ZHANG PinJia

展开 >

作者单位：

College of Information Science and Engineering,Northeastern University,Shenyang 110819,China

School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China

Department of Electrical Engineering,Tsinghua University,Beijing 100084,China

基金：

National Key R&D Program of ChinaMajor Program of the National Natural Science Foundation of China

项目编号：

2022YFB330400152293413

出版年：

2024

DOI：

10.1007/s11431-024-2659-1

中国科学:技术科学(英文版)

中国科学院

中国科学:技术科学(英文版)

CSTPCDEI

影响因子：1.056

ISSN：1674-7321

年,卷(期)：2024.(7)