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Cyber-Resilient Distributed Operation of Active Distribution Networks Based on Relaxed Alternating Direction Method of Multipliers

机译:基于乘法器宽松交替方向方法的电气分布网络的网络弹性分布式运行

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With the integration of microgrids (MGs) into power distribution networks, the traditional distribution network transforms into an active distribution network (ADN). For the information privacy of all participants and stakeholders, decentralized optimization algorithms are used to optimize the ADN energy management problem. This paper develops a cyber-resilient distributed ADN economic dispatch algorithm based on a relaxed alternating direction method of multipliers (R-ADMM) considering disruptive but unexpected communication failures in the process of coordinated decision making of distribution networks and MGs. Case studies based on a modified IEEE 33bus distribution system are conducted to evaluate the convergence performance and resilience of the proposed method in the cases of packet dropout and time delay. Simulation results demonstrate that the resilience of the proposed algorithm is better than the classic ADMM algorithm.
机译:随着微电网(MGS)的集成到配电网络中,传统的分销网络转换为主动分配网络(ADN)。 对于所有参与者和利益相关者的信息隐私,分散的优化算法用于优化ADN能量管理问题。 本文通过乘法器(R-ADMM)的缓和交替方向方法,开发了一种网络弹性分布式ADN经济调度算法,考虑了分发网络和MGS的协调决策过程中的破坏性但意外的通信失败。 基于修改的IEEE 33Bus分配系统的案例研究进行了分配系统,以评估在分组丢弃和时间延迟的情况下提出的方法的收敛性能和弹性。 仿真结果表明,所提出的算法的弹性优于经典的ADMM算法。

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