Safe Operation and Control of Microgrid Considering State Constraints Under Network Attacks

WU Zhong-qiang; CHENG Hong-qiang

doi:10.12263/DZXB.20221092

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Safe Operation and Control of Microgrid Considering State Constraints Under Network Attacks

PAPERS | 更新时间：2025-12-08

- Safe Operation and Control of Microgrid Considering State Constraints Under Network Attacks
- ACTA ELECTRONICA SINICA Vol. 52, Issue 9, Pages: 3240-3250(2024)
- 作者机构：
  
  燕山大学河北省工业计算机控制工程重点实验室，河北秦皇岛 066004
- 作者简介：
- 基金信息：
  
  Natural Science Foundation of Hebei Province(F2020203014)
- DOI：10.12263/DZXB.20221092
  CLC： TP273
- Received：27 September 2022，
  
  Revised：2023-01-17，
  
  Published：25 September 2024
- 稿件说明：
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吴忠强, 程洪强. 网络攻击下考虑状态受限的微电网安全运行与控制[J]. 电子学报, 2024, 52(09): 3240-3250.

WU Zhong-qiang, CHENG Hong-qiang. Safe Operation and Control of Microgrid Considering State Constraints Under Network Attacks[J]. Acta Electronica Sinica, 2024, 52(09): 3240-3250.
吴忠强, 程洪强. 网络攻击下考虑状态受限的微电网安全运行与控制[J]. 电子学报, 2024, 52(09): 3240-3250. DOI：10.12263/DZXB.20221092

WU Zhong-qiang, CHENG Hong-qiang. Safe Operation and Control of Microgrid Considering State Constraints Under Network Attacks[J]. Acta Electronica Sinica, 2024, 52(09): 3240-3250. DOI：10.12263/DZXB.20221092

摘要

攻击、干扰、不确定性通常存在于微电网中危害系统的安全运行.为了解决此问题，设计了一种带攻击补偿的电压控制器，以减小或抵消攻击对系统稳定性的影响.设计攻击观测器对微电网中受到的攻击进行观测；利用多智能体一致性协议，考虑全状态约束问题，采用正切型障碍Lyapunov函数约束所设计的状态量，使系统状态约束在预设范围内，并实现无功功率分配.采用自适应模糊系统对系统中一些参变量的变化进行估计，提高控制器的自适应能力.仿真验证了控制器的有效性.

Abstract

Attacks

disturbances

and uncertainty often exist in microgrids and endanger the safe operation of the system. To solve these problems

a voltage controller with attack compensation is designed to reduce or offset the impact of attack on system stability. The attack observer is designed to observe the attack in the microgrid. Using multi-agent consensus protocol and considering the problem of full state constraints

tangent barrier Lyapunov function is used to constrain the designed state variables

so that the system states are constraint within the preset range

and the reactive power sharing is realized. The adaptive fuzzy system is used to estimate the changes of some parameters in the system to improve the adaptive ability of the controller. The effectiveness of the controller is verified by simulation.

关键词

Keywords

references

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