Multi-resolution modelling method based on time-state-machine in complex distribution network

• Published in: IET Cyber-Physical Systems: Theory & Applications Vol. 2; no. 4; pp. 172 - 179
• Main Authors: Lv, Chen, Sheng, Wanxing, Liu, Keyan, Dong, Weijie, Meng, Xiaoli
• Format: Journal Article
• Language: English
• Published: Southampton The Institution of Engineering and Technology 01.12.2017; John Wiley & Sons, Inc; Wiley
• Subjects: Boundary conditions; CDN; Classification; complex distribution network; complex networks; CPS cosimulation; cyber-physical system cosimulation; cyber-physical systems; distribution networks; Efficiency; finite state machines; Islands; multiresolution modelling; power distribution network; power engineering computing; power grid; power grids; Power supply; Simulation; Spatial resolution; Special Issue: Cyber-Physical Systems in Smart Grids: Security and Operation; state cache; time-state-machine; cyber-physical system cosimulation; distribution networks; CPS cosimulation; complex networks; power distribution network; power grid; finite state machines; CDN; power engineering computing; cyber-physical systems; time-state-machine; state cache; multiresolution modelling; complex distribution network; power grids
• ISSN: 2398-3396; 2398-3396
• DOI: 10.1049/iet-cps.2017.0035

In order to apply the cyber-physical system (CPS) co-simulation method based on state cache to a complex distribution network (CDN), a physical model corresponding to multiple operating states should be proposed. As the different spatial resolution of the physical model leads to different performances of the cyber-physical models, a multi-resolution model based on time-state-machine is presented for CDN here. First, the operation process of CDN is divided into five operating states by using time-state-machine method, and the boundary conditions between states are qualitatively discussed. Second, three different spatial resolution physical models of CDN are built, and their simulation performances under different operating states are quantitatively analysed to form a multi-resolution physical model of CDN. Finally, the multi-resolution model of CDN is validated by use of a cyber-physical co-simulation example. Simulation results show that the multi-resolution model is capable to automatically transmission from anyone operating state to another.