The ubiquity of large graphs and surprising challenges of graph processing: extended survey

S Sahu, A Mhedhbi, S Salihoglu, J Lin, MT Özsu - The VLDB journal, 2020 - Springer
Graph processing is becoming increasingly prevalent across many application domains. In
spite of this prevalence, there is little research about how graphs are actually used in …

Deep reinforcement learning for cybersecurity assessment of wind integrated power systems

X Liu, J Ospina, C Konstantinou - IEEE access, 2020 - ieeexplore.ieee.org
The integration of renewable energy sources (RES) is rapidly increasing in electric power
systems (EPS). While the inclusion of intermittent RES coupled with the wide-scale …

PowRL: A reinforcement learning framework for robust management of power networks

A Chauhan, M Baranwal, A Basumatary - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Power grids, across the world, play an important societal and economical role by providing
uninterrupted, reliable and transient-free power to several industries, businesses and …

A novel graph-based energy management system

R Dai, G Liu, Z Wang, B Kan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The typical five-minute computational latency of current Energy Management Systems
(EMSs) can leave and has left system operators blind to the system state created by events …

Graph theory based N-1 transmission contingency selection and its application in security-constrained unit commitment

L Nan, Y Liu, L Wu, T Liu, C He - Journal of Modern Power …, 2020 - ieeexplore.ieee.org
Contingency analysis is an important building block in the stability and reliability analysis of
power grid operations. However, due to the large number of transmission lines, in practice …

A high-performance energy management system based on evolving graph

G Liu, C Yuan, X Chen, J Wu, R Dai… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
As the fast growth and large integration of distributed generation, renewable energy
resource, energy storage system, and load response, the modern power system operation …

Graph computing based distributed fast decoupled power flow analysis

C Yuan, Y Lu, W Feng, G Liu, R Dai… - 2019 IEEE Power & …, 2019 - ieeexplore.ieee.org
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 …

[PDF][PDF] 基于图计算的能量管理系统实时网络分析应用研发

刘广一, 戴仁昶, 路轶, 刘克文, 王之伟… - 电工技术 …, 2020 - dgjsxb.ces-transaction.com
摘要为满足电网现代化和智能电网对计算性能的要求, 通过分析传统能量管理系统(EMS)
实时网络分析应用的计算性能瓶颈, 提出了结合图数据库和图计算的EMS 实时网络分析应用的 …

Graphsurge: Graph analytics on view collections using differential computation

S Sahu, S Salihoglu - Proceedings of the 2021 International Conference …, 2021 - dl.acm.org
This paper presents the design and implementation of a new open-source view-based
graph analytics system called Graphsurge. Graphsurge is designed to support applications …

Towards sparse matrix operations: graph database approach for power grid computation

D Li, K Xiao, X Wang, P Guo, Y Chen - Global Energy Interconnection, 2023 - Elsevier
The construction of new power systems presents higher requirements for the Power Internet
of Things (PIoT) technology. The “source-grid-load-storage” architecture of a new power …