Smart grids enabled by edge computing

Towards Edge Computing Based Distributed Data Analytics Framework in Smart Grids

Lecture Notes in Computer Science - Artificial Intelligence and Security ◽

10.1007/978-3-030-24274-9_25 ◽

2019 ◽

pp. 283-292

Author(s):

Chunhe Song ◽

Tong Li ◽

Xu Huang ◽

Zhongfeng Wang ◽

Peng Zeng

Keyword(s):

Smart Grids ◽

Data Analytics ◽

Edge Computing ◽

Distributed Data

Download Full-text

Situational Awareness Using Edge-Computing Enabled Internet of Things for Smart Grids

2019 IEEE Globecom Workshops (GC Wkshps) ◽

10.1109/gcwkshps45667.2019.9024632 ◽

2019 ◽

Author(s):

Md Abul Hasnat ◽

Md Jakir Hossain ◽

Adetola Adeniran ◽

Mahshid Rahnamay-Naeini ◽

Hana Khamfroush

Keyword(s):

Internet Of Things ◽

Smart Grids ◽

Situational Awareness ◽

Edge Computing

Download Full-text

Efficiency and Security for Edge Computing Assisted Smart Grids

2019 IEEE Globecom Workshops (GC Wkshps) ◽

10.1109/gcwkshps45667.2019.9024545 ◽

2019 ◽

Author(s):

Aidong Xu ◽

Yixin Jiang ◽

Jinsong Wu ◽

Yunan Zhang ◽

Wenjin Hou ◽

...

Keyword(s):

Smart Grids ◽

Edge Computing

Download Full-text

Authentication Algorithm and Techniques Under Edge Computing in Smart Grids

2019 IEEE International Conference on Energy Internet (ICEI) ◽

10.1109/icei.2019.00040 ◽

2019 ◽

Author(s):

Xiong Zhan ◽

Hao Guo ◽

Xiaoyun He ◽

Zhoubin Liu ◽

Hongsong Chen

Keyword(s):

Smart Grids ◽

Edge Computing

Download Full-text

Internet of Things Based Smart Grids Supported by Intelligent Edge Computing

IEEE Access ◽

10.1109/access.2019.2920488 ◽

2019 ◽

Vol 7 ◽

pp. 74089-74102 ◽

Cited By ~ 42

Author(s):

Songlin Chen ◽

Hong Wen ◽

Jinsong Wu ◽

Wenxin Lei ◽

Wenjing Hou ◽

...

Keyword(s):

Internet Of Things ◽

Smart Grids ◽

Edge Computing

Download Full-text

MADDPG-Based Security Situational Awareness for Smart Grid with Intelligent Edge

Applied Sciences ◽

10.3390/app11073101 ◽

2021 ◽

Vol 11 (7) ◽

pp. 3101

Author(s):

Wenxin Lei ◽

Hong Wen ◽

Jinsong Wu ◽

Wenjing Hou

Keyword(s):

Power Systems ◽

Smart Grids ◽

Information Technologies ◽

Situational Awareness ◽

Learning Algorithm ◽

Edge Computing ◽

Security Issues ◽

Computing Paradigm ◽

Processing Cost ◽

Policy Gradient

Advanced communication and information technologies enable smart grids to be more intelligent and automated, although many security issues are emerging. Security situational awareness (SSA) has been envisioned as a potential approach to provide safe services for power systems’ operation. However, in the power cloud master station mode, massive heterogeneous power terminals make SSA complicated, and failure information cannot be promptly delivered. Moreover, the dynamic and continuous situational space also increases the challenges of SSA. By taking advantages of edge intelligence, this paper introduces edge computing between terminals and the cloud to address the drawbacks of the traditional power cloud paradigm. Moreover, a deep reinforcement learning algorithm based on the edge computing paradigm of multiagent deep deterministic policy gradient (MADDPG) is proposed. The minimum processing cost under the premise of minimum detection error rate is taken to analyze the smart grids’ SSA. Performance evaluations show that the algorithm under this paradigm can achieve faster convergence and the optimal goal, namely the provision of real-time protection for smart grids.

Download Full-text