GCPS Adaptive Scheduling Model Based on Cooperative Executor

Authors

Zhang Jing, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;
Chen Yao, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;
Sun Jun, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;
Hongbo Fan, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;

Abstract

Abstract: Aiming at the problem that the uncertainty of grid cyber physical systems leads to chain failure, an adaptive GCPS dispatching model based on co-actuator is established. First, the constraint conditions of the system are analyzed. A model constraints of GCPS system is presented to describe the constraint conditions of the power system, and it is proved that it meets the consistency of the measure and representing methods. Second, the optimal value of approximation error is solved by PILOT, and the framework of CA-SADM is described. Finally, the performance index, output power accuracy and the influence of fault on the system are simulated and analyzed by Ptolemy II platform. The experimental results show that the model can describe the output power accurately, and the system has good adaptability to the faults.

Recommended Citation

Jing, Zhang; Yao, Chen; Jun, Sun; and Fan, Hongbo (2019) "GCPS Adaptive Scheduling Model Based on Cooperative Executor," Journal of System Simulation: Vol. 31: Iss. 10, Article 17.
DOI: 10.16182/j.issn1004731x.joss.17-0404
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss10/17

First Page

2112

Revised Date

2017-11-19

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0404

Last Page

2121

CLC

TP302.7

Recommended Citation

Zhang Jing, Chen Yao, Sun Jun, Fan Hongbo. GCPS Adaptive Scheduling Model Based on Cooperative Executor[J]. Journal of System Simulation, 2019, 31(10): 2112-2121.

Corresponding Author

Sun Jun,

DOI

10.16182/j.issn1004731x.joss.17-0404