Integrated Intelligent Energy ›› 2022, Vol. 44 ›› Issue (1): 49-55.doi: 10.3969/j.issn.2097-0706.2022.01.007

• Optimized Operation and Control of Integrated Energy Systems • Previous Articles     Next Articles

Application of edge computing in integrated energy system operation control

YANG Dongmei1(), HE Guoxin2,*(), ZHU Jinda1, WANG Qi2, GENG Jian1, WANG Jun1, LI Ning2   

  1. 1. NARI Group Corporation (State Grid Electric Power Research Institute),Nanjing 211106,China
    2. School of Electrical and Automation Engineering, Nanjing Normal University,Nanjing 210023,China
  • Received:2021-07-08 Revised:2021-09-09 Online:2022-01-25 Published:2022-02-15
  • Contact: HE Guoxin E-mail:yangdongmei@sgepri.sgcc.com.cn;heguoxin@sgepri.sgcc.com.cn

Abstract:

With the development of new technologies, e.g., big data, cloud computing, Internet of Things, mobile Internet, and artificial intelligence, integrated energy services are expected to witness its connotation expansion. Integrated energy systems entail services and management for large-scale targets, processing massive data, as well as high demands on privacy and security, which has push conventional centralized cloud computing architecture beyond its application scope. Distributed edge computing blazes a new trail for solving this predicament. The difficulties and challenges encountered by the integrated energy system in its operation and control are analyzed,considering the actual business requirements. Based on the Internet of Things, a layered collaborative control architecture for the system is built, which consists of a perceptive layer, a network layer, a platform layer and an application layer. The feasibility and value of edge computing technologies applied in the four layers are investigated. Furthermore, taking industrial parks as examples, a multilateral collaborative operation and control model for regional integrated energy systems is proposed and its solving methodology is given as well. Finally, the application prospects of edge computing technologies in integrated energy services are made.

Key words: edge computing, IoT, edge computing, cloud computing, integrated energy system, operation control

CLC Number: