Cyber physical power system modeling and simulation based on graph computing

Autor: Ziyan Yao, Zhangxin Zhou, Guangyi Liu, Zhiwei Wang, Renchang Dai, Ming Ni, Jiangpeng Dai
Rok vydání: 2017
Předmět:
Zdroj: 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2).
DOI: 10.1109/ei2.2017.8245745
Popis: As an extension of Cyber Physical System, Cyber Physical Power System (CPPS) is to describe a communication, computing, control and physical coupled system for the power grid. While the computational complexity increases, it is not the best option to utilize relational database and matrix computation to implement real-time processing and analysis in CPPS. The graph computing has demonstrated its capabilities in managing large-scale data and executing the distributed parallel computation algorithms. This paper firstly uses graph database and graph computing to model and simulate the CPPS. The three-layer framework of CPPS is implemented with the graph database. The efficiency of information collection and command transmission is analyzed based on graph computing. The simulation shows that the time latency's calculation is significantly simplified by using graph computing which converts matrix computation problem to a graph traversal problem.
Databáze: OpenAIRE