125 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- State Grid Jiangsu Electric Power (China)CN7 papers
- State Grid Corporation of China (China)CN6 papers
- Southern Methodist UniversityUS5 papers
- University of Tennessee at KnoxvilleUS5 papers
- Aalborg UniversityDK3 papers
- Arizona State UniversityUS3 papers
- Shanghai Electric (China)CN3 papers
- State Grid Nanjing Power Supply Company (China)3 papers
- State Grid Sichuan Electric Power Corporation (China)CN3 papers
- George Washington UniversityUS2 papers
- National Grid (United States)US2 papers
- Oak Ridge National LaboratoryUS2 papers
9 papers · 1 filter
Parallel Betweenness Computation in Graph Database for Contingency Selection
Yongli Zhu, Renchang Dai, Guangyi Liu
Parallel betweenness computation algorithms are proposed and implemented in a graph database for power system contingency selection. Principles of the graph database and graph comp…
Graph Computing based Distributed State Estimation with PMUs
Yi Lu, Chen Yuan, Xiang Zhang +4
Power system state estimation plays a fundamental and critical role in the energy management system (EMS). To achieve a high performance and accurate system states estimation, a gr…
A High-Performance Energy Management System based on Evolving Graph
Guangyi Liu, Chen Yuan, Xi Chen +3
As the fast growth and large integration of distributed generation, renewable energy resource, energy storage system and load response, the modern power system operation becomes mu…
Fast Grid Splitting Detection for N-1 Contingency Analysis by Graph Computing
Yongli Zhu, Lingpeng Shi, Renchang Dai +1
In this study, a graph-computing based grid splitting detection algorithm is proposed for contingency analysis in a graph-based EMS (Energy Management System). The graph model of a…
Graph Computing based Fast Screening in Contingency Analysis
Yiting Zhao, Chen Yuan, Sun Li +3
During last decades, contingency analysis has been facing challenges from significant load demand increase and high penetrations of intermittent renewable energy, fluctuant respons…
Exploration of Bi-Level PageRank Algorithm for Power Flow Analysis Using Graph Database
Chen Yuan, Yi Lu, Kewen Liu +3
Compared with traditional relational database, graph database, GDB, is a natural expression of most real-world systems. Each node in the GDB is not only a storage unit, but also a…
Power Flow Analysis Using Graph based Combination of Iterative Methods and Vertex Contraction Approach
Chen Yuan, Guangyi Liu, Renchang Dai +1
Compared with relational database (RDB), graph database (GDB) is a more intuitive expression of the real world. Each node in the GDB is a both storage and logic unit. Since it is c…
CIM/E Oriented Graph Database Model Architecture and Parallel Network Topology Processing
Zhangxin Zhou, Chen Yuan, Ziyan Yao +5
CIM/E is an easy and efficient electric power model exchange standard between different Energy Management System vendors. With the rapid growth of data size and system complexity,…
Graph-based Preconditioning Conjugate Gradient Algorithm for N-1 Contingency Analysis
Yiting Zhao, Chen Yuan, Guangyi Liu +1
Contingency analysis (CA) plays a critical role to guarantee operation security in the modern power systems. With the high penetration of renewable energy, a real-time and comprehe…