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面向新型配电系统的多主体协同运行及弹性提升探讨

李知艺 韩旭涛 许悦 罗仁杰

电力系统自动化2026,Vol.50Issue(18):1-16,16.
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电力系统自动化2026,Vol.50Issue(18):1-16,16.DOI:10.7500/AEPS20250311003

面向新型配电系统的多主体协同运行及弹性提升探讨

Discussion on Coordinated Operation and Resilience Enhancement of Multiple Entities for New Distribution System

李知艺 1韩旭涛 1许悦 1罗仁杰1

作者信息

  • 1. 浙江大学电气工程学院,浙江省 杭州市 310027
  • 折叠

摘要

Abstract

With the opening-up and development of incremental distribution businesses and integrated application of digital-intelligent technologies,energy flow and information flow in the new distribution system frequently interact and are complexly coupled among multiple entities,causing cross-domain cyber-physical operational risks.To address the challenges of coordinated operation and resilience enhancement of multiple entities under cross-domain operational risks,a distributed-coordinated regulation mode for the efficiency improvement of energy-information is explored in a step-by-step manner across three levels:data,mechanism and application.At the data level,the spatio-temporal multi-dimensional value of measurement data is extracted to jointly analyze cross-domain operational risks among multiple entities.At the mechanism level,heterogeneous energy and information resources in multiple entities are coordinated to establish a deep defense system as well as a secure and trustworthy interactive decision-making mechanism.At the application level,the system's resilient operation capability is analyzed from the perspective of cyber-physical coupling,enabling closed-loop near-optimal operation in complicated dynamic environments.Building on existing studies,emerging social-system risks and future study directions are discussed from macro and micro perspectives.

关键词

新型配电系统/多主体/信息-物理耦合/分布-协同调控/运行决策/弹性

Key words

new distribution system/multiple entities/cyber-physical coupling/distributed-coordinated regulation/operational decision-making/resilience

引用本文复制引用

李知艺,韩旭涛,许悦,罗仁杰..面向新型配电系统的多主体协同运行及弹性提升探讨[J].电力系统自动化,2026,50(18):1-16,16.

基金项目

国家自然科学基金面上项目(52477132). This work is supported by National Natural Science Foundation of China(No.52477132). (52477132)

电力系统自动化

1000-1026

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