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20182023
most citedAutonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability

22 citations · 50 across the 21 of their papers we have counts for

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Showing cs.DCShow all

10 papers · 1 filter

cs.DC2020★ 1 cited

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…

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.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★ 1 cited

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…

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.DC2019★ 1 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…

cs.DC2019

Graph Computing based Distributed Fast Decoupled Power Flow Analysis

Chen Yuan, Yi Lu, Wei Feng +4

Power flow analysis plays a fundamental and critical role in the energy management system (EMS). It is required to well accommodate large and complex power system. To achieve a hig…

cs.DC2018

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…

cs.DC2018★ 1 cited

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…

cs.DC2018★ 1 cited

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,…