activity
20182020
most citedEnhancement of Power Equipment Management Using Knowledge Graph

2 citations · 3 across the 6 of their papers we have counts for

collaborators

10 papers

cs.DC2020

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…

cs.AI20192 cited

Enhancement of Power Equipment Management Using Knowledge Graph

Yachen Tang, Tingting Liu, Guangyi Liu +3

Accurate retrieval of the power equipment information plays an important role in guiding the full-lifecycle management of power system assets. Because of data duplication, database…

cs.DC2019

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…

cs.DC2019

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…

cs.DC20191 cited

A Graph Computation based Sequential Power Flow Calculation for Large-Scale ACDC Systems

Wei Feng, Jingjin Wu, Chen Yuan +4

This paper proposes a graph computation based sequential power flow calculation method for Line Commutated Converter (LCC) based large-scale AC/DC systems to achieve a high computi…

eess.SP2019

Simplify Power Flow Calculation Using Terminal Circuit and PMU Measurements

Renchang Dai, Xiang Zhang, Junjie Shi +3

Power flow calculation methods have been developed in decades using power injections and Newton-Raphson method. The nonlinear characteristics of the power flow to the bus voltage r…