Distributed Optimal Frequency Control under communication packet loss in multi-agent electric energy systems
Distributed Optimal Frequency Control under communication packet loss in multi-agent electric energy systems
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DOI：
10.1016/j.automatica.2023.111088
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发表时间：
2023-08
期刊：
影响因子：
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通讯作者：
S. Xie;M. Nazari;L. Wang;G. Yin;Xinyu Zhang
中科院分区：
文献类型：
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作者：
S. Xie;M. Nazari;L. Wang;G. Yin;Xinyu Zhang
本文研究了通信数据包丢失对分布式最优频率控制（DOFC）在交流（AC）电力能源系统中的影响，人口与多个集群的混合生产者-消费者（prosumer）代理。本文首先建立了严格的通信数据包交付率和所提出的DOFC算法的收敛速度之间的关系。这为通信系统上的资源分配提供了基础，以提高分布式优化和控制算法（诸如DOFC）在噪声和中断的通信系统下的收敛速度。本文开发了一种系统的方法，以确定最佳的可能的收敛速度在所有可能的算法，通过引入一种算法，可以实现渐进的Cramér-Rao（CR）下界。这一基本结果将数据的信息内容与最佳的均方估计误差联系起来。通过对一个电能系统的仿真研究，验证了理论分析的正确性。
This paper investigates the impact of communication packet loss on Distributed Optimal Frequency Control (DOFC) in Alternating Current (AC) electric energy systems, populated with multiple clusters of hybrid producer–consumer (prosumer) agents. The paper first establishes rigorous relationships between the communication packet delivery ratio and the convergence rate of the proposed DOFC algorithm. This provides a foundation for resource allocation on communication systems to enhance the convergence speed of distributed optimization and control algorithms, such as DOFC, under noisy and disrupted communication systems. The paper develops a systematic approach to identify the best possible convergence rate over all possible algorithms, by introducing an algorithm that can achieve asymptotically the Cramér-Rao (CR) lower bound. This fundamental result links the information contents of data to the best possible mean-square estimation error. Simulation studies on an electric energy system validate the theoretical results.