弹性电力系统态势感知研究综述

doi:10.3969/j.issn.2097-0706.2025.03.001

综合智慧能源 ›› 2025, Vol. 47 ›› Issue (3): 1-14.doi: 10.3969/j.issn.2097-0706.2025.03.001

• 负荷资源优化控制 • 下一篇

弹性电力系统态势感知研究综述

张璐¹^,^2a^,^2b(), 陆安山¹, 华杨^2a^,^2b, 刘天皓³^,^*(), 张冬冬^2a^,^2b^,⁴

1.北部湾大学机械与船舶海洋工程学院，广西钦州 535011
2.广西大学 a.省部共建特色金属材料与组合结构全寿命安全国家重点实验室； b.电气工程学院，南宁 530004
3.香港大学电气与电子工程系，香港 999077
4.内蒙古工业大学新能源学院，内蒙古鄂尔多斯 017010

收稿日期:2024-08-16 修回日期:2024-10-29 接受日期:2024-12-26 出版日期:2025-03-25
通讯作者: *刘天皓（1990），男，高级工程师，博士，从事新型电力系统与智慧能源低碳运行等方面的研究，thliu@eee.hku.hk。
作者简介:张璐（1999），女，硕士生，从事电机控制与智能电网优化等方面的研究，15835380178@163.com。
基金资助:
国家自然科学基金项目(52107083);广西科技重大专项(AA22068071)

Review of research on situation awareness in resilient power systems

ZHANG Lu¹^,^2a^,^2b(), LU Anshan¹, HUA Yang^2a^,^2b, LIU Tianhao³^,^*(), ZHANG Dongdong^2a^,^2b^,⁴

1. School of Mechanical and Marine Engineering， Beibu Gulf University， Qinzhou 535011， China
2. a. State Key Laboratory of Featured Metal Materials and Life-Cycle Safety for Composite Structures；b. School of Electrical Engineering， Guangxi University， Nanning 530004， China
3. Department of Electrical and Electronic Engineering， the University of Hong Kong， Hong Kong 999077， China
4. School of Renewable Energy， Inner Mongolia University of Technology， Ordos 017010， China

Received:2024-08-16 Revised:2024-10-29 Accepted:2024-12-26 Published:2025-03-25
Supported by:
National Natural Science Foundation of China(52107083);Guangxi Science and Technology Major Program(AA22068071)

摘要/Abstract

摘要：

随着全球能源需求的不断上升，实现能源的绿色低碳转型已成为能源系统的核心任务。在这一转型过程中，保障电力系统的稳定性和安全性显得尤为关键。面对自然灾害和人为因素的挑战，电力系统在极端事件下的弹性建设显得尤为重要。深入探讨了弹性电力系统的定义、特性曲线、弹性评估方法以及电力信息物理耦合系统（CPPS）的整体框架。结合文献调研情况，全面分析了弹性电力系统的态势感知（SA）技术，特别是电网SA与网络SA。结合CPPS的耦合关系研究成果，构建了CPPS的SA研究框架，研究了信息侧与物理侧的协同SA，以提升电力系统应对气候变化与能源挑战的弹性。最后对未来的研究重点进行了展望。

关键词: 电力系统, 弹性评估, 电力信息物理耦合系统, 态势感知, 能源转型

Abstract:

As global energy demand continues to rise， achieving a green and low-carbon energy transition has become the core task of energy systems. Ensuring the stability and security of power systems is particularly critical during this transition. Facing the challenges of natural disasters and human factors， the development of resilient construction in power systems under extreme events is of paramount importance. In this review， the definition， characteristic curves， resilience assessment methods of resilient power systems and the overall framework of cyber-physical power systems（CPPS） are explored in depth. Based on a review of the literature， the situation awareness（SA） technology in resilient power systems is comprehensively analyzed， especially grid SA and network SA. Combined with research results of the coupling relationship of CPPS， the SA framework of CPPS is constructed， and the collaborative SA of information side and physical side is studied to improve the resilience of power system in the face of climate change and energy challenges. The future research focus is also proposed.

Key words: power systems, resilience assessment, cyber-physical power systems（CPPS）, situational awareness （SA）, energy transition

中图分类号:

TK01

张璐, 陆安山, 华杨, 刘天皓, 张冬冬. 弹性电力系统态势感知研究综述[J]. 综合智慧能源, 2025, 47(3): 1-14.

ZHANG Lu, LU Anshan, HUA Yang, LIU Tianhao, ZHANG Dongdong. Review of research on situation awareness in resilient power systems[J]. Integrated Intelligent Energy, 2025, 47(3): 1-14.

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方法		优点	缺点
主观权重法	专家法层次分析法模糊评价法	能够反映决策主体的意图	主观随意性较大，可能导致决策结果的波动
客观权重法	熵权法变异系数法主成分分析法	在数学理论上具有很强的合理性	可能无法充分体现决策者的意图
组合权重法		准确性高、鲁棒性强、灵活性高、充分利用信息、减少过拟合	计算复杂、权重确定困难、模型选择复杂、维护成本高、可能有滞后性

维度	数据来源	采集技术
资产	系统配置信息、网络拓扑、服务、用户数据等	Wireshark，NetFlow，SNMP
漏洞	软件漏洞、配置漏洞、结构漏洞等	CNNVD，CVE 等漏洞数据库
威胁	IDS告警、防火墙、日志数据、流量数据等	Flume，Syslog，蜜罐，张量分析

类型	方法	优点	缺点	文献
基于数学模型	层次分析法、集对分析法、模糊综合评价法、距离偏差法、多属性效用函数法	数学表达式清晰明确，进而给出确定性结果，应用广泛	涉及的主观因素较多，可能导致缺少客观统一的标准	[77⇓-79]
基于概率和知识推理	模糊推理、贝叶斯网络、马尔可夫博弈过程、Dempster-Shafer证据理论	采用逻辑推理进行评估	操作困难，大量的规则和知识占用大量空间，推理过程复杂	[80⇓-82]
基于模式分类	聚类分析、粗糙集、灰色关联分析、神经网络法、支持向量机法	学习能力强，模型建立较为准确	计算量过大，建模时间较长，特征数量较多且不易理解	[83⇓⇓-86]

弹性电力系统态势感知研究综述

Review of research on situation awareness in resilient power systems

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