Situation awareness of active distribution network: roadmap, technologies, and bottlenecks

Jin Lin, Can Wan, Yonghua Song, Renle Huang, Xiaoshuang Chen, Wanfang Guo, Yi Zong, Shi You

Research output: Contribution to journalJournal articleResearchpeer-review


With the rapid development of local generation and demand response, the active distribution network (ADN), which aggregates and manages miscellaneous distributed resources, has moved from theory to practice. Secure and optimal operations now require an advanced situation awareness (SA) system so that operators are aware of operation states and potential risks. Current solutions in distribution supervisory control and data acquisition (DSCADA) as well as the distribution automation system (DAS) generally are not able to meet the technology requirements of SA. In this paper, the authors’ participation in the project of developing an SA system as the basic component of a practical active distribution management system (ADMS) deployed in Beijing, China, is presented. This paper reviews the ADN’s development roadmap by illustrating the changes that are made in elements, topology, structure, and control scheme. Taking into consideration these hardware changes, a systematic framework is proposed for the main components and the functional hierarchy of an SA system for the ADN. The SA system’s implementation bottlenecks are also presented, including, but not limited to issues in big data platform, distribution forecasting, and security evaluation. Potential technology solutions are also provided.
Original languageEnglish
JournalC S E E Journal of Power and Energy Systems
Issue number3
Pages (from-to)35-42
Publication statusPublished - 2016


  • Distribution networks
  • Power system management, operation and economics
  • Power system control
  • Control of electric power systems
  • distribution networks
  • power system control
  • power system management
  • active distribution network
  • distributed resources
  • situation awareness system
  • distribution supervisory control and data acquisition
  • distribution automation system
  • active distribution management system
  • Beijing
  • China
  • big data platform
  • distribution forecasting
  • security evaluation

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