基于动态规划的配微网安全防御策略

doi:10.11930/j.issn.1004-9649.202507101

中国电力 ›› 2026, Vol. 59 ›› Issue (1): 97-104.DOI: 10.11930/j.issn.1004-9649.202507101

• 配微储协同新型电力系统多元资源协调优化调度与控制关键技术 • 上一篇下一篇

基于动态规划的配微网安全防御策略

奚泽立¹(), 陈聪¹(), 杨新森¹(), 詹细妹¹(), 郭国伟¹(), 张乾²()

1. 广东电网有限责任公司佛山顺德供电局，广东佛山　528300
2. 武汉大学电气与自动化学院，湖北武汉　430000

收稿日期:2025-07-27 修回日期:2025-12-27 发布日期:2026-01-13 出版日期:2026-01-28
作者简介:
奚泽立（1992），男，工程师，从事配电运维研究，E-mail：675182414@qq.com
陈聪（1992），男，硕士，工程师，从事配电运维与自动化研究，E-mail：479843801@qq.com
杨新森（1991），男，硕士，从事配电运检与智能作业研究，E-mail：761443976@qq.com
詹细妹（1992），女，从事配网运行管理、配网技术监督、配网综合安全及风险管理研究，E-mail：1015844865@qq.com
郭国伟（1980），男，从事配电运维和技术监督等技术研究，E-mail：13823419456@139.com
张乾（1996），男，通信作者，博士研究生，从事智能电网技术、信息物理电力系统模拟分析等技术研究，E-mail：zhqian@whu.edu.cn
基金资助:
国家重点研发计划资助项目（2024YFB2409303）；中国南方电网有限责任公司科技项目（GDKJXM20222480）。

Security defense strategy for distribution-microgrids based on dynamic programming

XI Zeli¹(), CHEN Cong¹(), YANG Xinsen¹(), ZHAN Ximei¹(), GUO Guowei¹(), ZHANG Qian²()

1. Guangdong Power Grid Co., Ltd., Foshan Shun de Power Supply Bureau, Foshan 528300, China
2. School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China

Received:2025-07-27 Revised:2025-12-27 Online:2026-01-13 Published:2026-01-28
Supported by:
This work is supported by the National Key Research and Development Program of China (No.2024YFB2409303) & Science and Technology Project of China Southern Power Grid Corporation (No.GDKJXM20222480).

摘要/Abstract

摘要：

基于信息物理融合结构的配微协同新型配电系统，为多能互补的能源优化调度提供了新的技术路径。然而，多种能源出力的强不确定性以及未知扰动导致发电难以精准调控，严重威胁系统的安全稳定运行。为应对这一挑战，提出了一种融合非对称结构建模的动态规划最优安全防御策略。将未知不确定性扰动与防御侧的非对称结构问题统一建模为非合作博弈框架，并利用自适应评判学习网络进行求解，实现防御资源的最优分配。仿真结果表明：所提策略能有效缓解非对称结构下的不确定性安全风险。

关键词: 信息物理配电系统, 动态规划技术, 安全协同防御

Abstract:

The new distribution system based on the information-physical fusion structure provides a new technical path for the optimization and dispatch of multi-energy complementary energy, the strong uncertainty of multi-energy output and unknown disturbances make it difficult for power generation to be precisely regulated, which seriously threatens the safe and stable operation of the system. address this challenge, an optimal security defense strategy with dynamic programming is proposed by integrating asymmetric structure modeling. The unknown uncertainty disturbance and the asymmetric structure problem on the defense side are unified into non-cooperative game framework and are solved by using an adaptive evaluation learning network, which implements the optimal allocation of defense resources. Simulation results show that the proposed strategy can effectively the uncertainty security risk under asymmetric structure.

Key words: cyber-physical power distribution system, dynamic programming technology, collaborative security defense

奚泽立, 陈聪, 杨新森, 詹细妹, 郭国伟, 张乾. 基于动态规划的配微网安全防御策略[J]. 中国电力, 2026, 59(1): 97-104.

XI Zeli, CHEN Cong, YANG Xinsen, ZHAN Ximei, GUO Guowei, ZHANG Qian. Security defense strategy for distribution-microgrids based on dynamic programming[J]. Electric Power, 2026, 59(1): 97-104.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202507101

https://www.electricpower.com.cn/CN/Y2026/V59/I1/97

图/表 14

图 1 信息物理配微协同新型配电系统示意

Fig.1 The cyber-physical microgrid-distribution collaboration new distribution system

图 2 整个控制策略的流程

Fig.2 The flowchart of the entire control strategy

图 3 IEEE-33节点配电网模型

Fig.3 The IEEE-33 node distribution network model diagram

表 1 仿真模型验证参数

Table 1 Simulation model validation parameters

符号	数值	单位
直流电压	300	V
滤波电感	1	H
电容	1000	μF
电压环比例参数	0.035	\
电压环积分参数	0.15	\
电流环比例参数	5000	\
电流环积分参数	0.05	\
负载1	10	Ω
负载2	15	Ω
参考电压	48	V

图 4 OPAL-RT实时仿真平台

Fig.4 OPAL-RT real-time simulation platform

图 5 系统电压输出曲线

Fig.5 System voltage output curves

图 6 系统电流输出曲线

Fig.6 System current output curves

图 7 自适应学习参数曲线

Fig.7 Adaptive learning parameter curves

图 8 即插即用测试下的电压输出曲线

Fig.8 Voltage output curves under plug-and-play testing

图 9 即插即用测试下的电流输出曲线

Fig.9 Current output curves under plug-and-play testing

图 10 通信时延$ \tau =0.026 $测试下的电压输出曲线

Fig.10 Voltage output curves under communication delay $ \tau =0.026 $ test

图 11 通信时延$ \tau =0.026 $测试下的电流输出曲线

Fig.11 Current output curves under communication delay $ \tau =0.026 $ test

图 12 通信时延$ \tau =0.2(\sin (10 t)+\pi /4)+1.3 $测试下的电压输出曲线

Fig.12 Voltage output curves under communication delay $ \tau =0.2(\sin (10 t)+\pi /4)+1.3 $ test

图 13 通信时延$ \tau =0.2(\sin (10 t)+\pi /4)+1.3 $测试下的电流输出曲线

Fig.13 Current output curves under communication delay $ \tau =0.2(\sin (10 t)+\pi /4)+1.3 $ test

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基于动态规划的配微网安全防御策略

Security defense strategy for distribution-microgrids based on dynamic programming

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基于动态规划的配微网安全防御策略

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