Security defense strategy for distribution-microgrids based on dynamic programming

doi:10.11930/j.issn.1004-9649.202507101

Abstract

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

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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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202507101

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

Figures/Tables 14

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

Fig.2 The flowchart of the entire control strategy

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

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

Fig.4 OPAL-RT real-time simulation platform

Fig.5 System voltage output curves

Fig.6 System current output curves

Fig.7 Adaptive learning parameter curves

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

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

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

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

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

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

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