基于图计算的能量管理系统实时网络分析应用研发

doi:10.19595/j.cnki.1000-6753.tces.190901

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Abstract

This paper discussed the bottlenecks of current energy management system (EMS) for grid modernization and smart grid. To meet the requirements for the next generation EMS, a graph-based power system online parallel computing approach is proposed in this paper. In this approach, the power system is modeled as a graph and the power system analysis and computing are performed on the graph all in memory. To improve the computation efficiency, a suite of parallel computing algorithm based on graph is developed to solve power flow and state estimation equations. Taking the graph computing advantages on nodal and hierarchical parallelism, the graph-based state estimation, power flow, and contingency analysis applications are implemented and integrated in a developed EMS prototype. The case study on a real provincial system verified the advantages of graph computing and its computation efficiency is outperformed than commercial EMS. The potential applications on EMS using graph computing are presented at the end of the paper.

Key words： Energy management system graph database graph computing topology analysis state estimation power flow contingency analysis

Received: 25 July 2019

PACS:

TM711

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	Articles by authors
	Liu Guangyi
	Dai Renchang
	Lu Yi
	Liu Kewen
	Wang Zhiwei
	Yuan Chen
	Fan Hong
	Dai Jiangpeng

Cite this article:

Liu Guangyi,Dai Renchang,Lu Yi等. Graph Computing Based Power Network Analysis Applications[J]. Transactions of China Electrotechnical Society, 2020, 35(11): 2339-2348.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190901 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I11/2339

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