This section focuses on the modeling and collaborative control technology prospects of distributed energy grid clusters and explores the future technological development trends in this field. With the comprehensive development of the power big data platform, the amount of data obtained from power marketing, production scheduling, and other systems is growing exponentially. These data not only include telemetry and remote signals but also encompass various forms of data such as operation tickets and videos. Faced with such a large and heterogeneous dataset, how to transform these “data raw materials” into effective driving forces has become the core challenge.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Outlook on Modeling and Collaborative Control Technology for Future Distributed Energy Grid Cluster Operations

  • Tianguang Lu,
  • Ming Yang,
  • Yu Guo,
  • Qian Ai,
  • Ran Hao

摘要

This section focuses on the modeling and collaborative control technology prospects of distributed energy grid clusters and explores the future technological development trends in this field. With the comprehensive development of the power big data platform, the amount of data obtained from power marketing, production scheduling, and other systems is growing exponentially. These data not only include telemetry and remote signals but also encompass various forms of data such as operation tickets and videos. Faced with such a large and heterogeneous dataset, how to transform these “data raw materials” into effective driving forces has become the core challenge.