Online electromechanical and electromagnetic hybrid simulation system. Issue 13 (4th December 2017)

• Record Type: Journal Article
• Authors: Dongyu, Shi; Xujiang, Chen; Yalou, Li; Feng, Wang; Dechao, Xu; Chunjiang, He; Gang, Li
• Is Part Of: Journal of engineering. Volume 2017:Issue 13(2017)
• Page Start: 1343
• Page End: 1346
• Publication Date: 2017-12-04
• Subjects: power system simulation -- fault diagnosis -- electromagnetism -- power grids -- renewable energy sources; parallel computing -- scheduling policy -- fault screening method -- adaptive electromagnetic model -- online analysis -- electromechanical models -- DC system -- electromagnetism models -- stability analysis -- extra‐large‐scaled AC/DC hybrid power grid -- UHV technology -- long‐distance transmission system -- hydraulic power -- wind power -- solar power -- renewable energy resources -- China -- online electromechanical‐electromagnetic hybrid simulation system; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2017.0550
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : In China, most of the renewable energy resources are reserved in the West, like wind and solar power in the Northwest and hydraulic power in the Southwest, but the load center is in the East; therefore, a safe and stable long‐distance transmission system is necessary. Along with the development of UHV technology, an extra‐large‐scaled AC/DC hybrid power grid has been accomplished in China, the characteristics of the power system are facing profound changes and the techs of stability analysis and control are needed to be improved as well. An online electromechanical and electromagnetic hybrid simulation system is proposed, in which electromagnetism models are adopted for the DC system and electromechanical models for the rest. The key issue is to speed up the simulation for the need of online analysis. First, the system architecture is introduced, which is followed by several key technologies, such as adaptive electromagnetic model of DC system, fault screening method and scheduling policy of parallel computing. Finally, the validity of the proposed system is verified using online data. The hybrid simulation could promote the accuracy of online analysis and ensure stable operation of a power grid, and then improve the utilization of renewable energy resources.