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Research on multi-CPU cluster modeling and real-time simulation analysis of high proportion active distribution network

Authors :
Songhuai Du
Chen Dingyu
Ye Hua
Wanxing Sheng
Keyan Liu
Zhang Yonghua
Juan Su
Source :
2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE).
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

High proportion of renewable energy was increased in the distribution network, which will face complex grid complex test and show the scale the diversity and complexity of the operating state. So that the evolution of Wind-photovoltaic-energy storage(Wind-PV-ES) hybrid network transient process is not clear. In the other hand, Transient simulation tool plays a significant role in obtaining a full and detailed response under various operation conditions. However, the simulation capability and speed become limited with increased system size. In order to study the background of high proportion of Wind-PV-ES in the distribution network, this paper model Wind-PV-ES and its control system in the multi-CPU cluster fine-grained real-time simulation platform. The control system was further decoupled according to its topology. The multi-CPU can be easily realized, and the computation loads are balanced by DG modeling. The model is used to calculate the load balancing as the optimal condition to be decoupled by the distribution parameters. Parallel computing to ensure the accuracy of the transient simulation results and convergence effect and improve the simulation speed. Then this paper used two typical examples to realize the verification of Multi-CPU simulation results. The simulation results show that the simulation accuracy decreases with the increase of model computation, but the simulation speed is greatly improved. The result reflects the characteristics and transient characteristics of grid -connected transient operation. The effectiveness of the proposed method is validated in integrated simulation of distributed generation system.

Details

Database :
OpenAIRE
Journal :
2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE)
Accession number :
edsair.doi...........62403f1f70270a0eb56a37d62b8e4b6f
Full Text :
https://doi.org/10.1109/ccsse.2017.8087972