Decentralized Dynamic Power Management with Local Information
Decentralized Dynamic Power Management with Local Information
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DOI：
10.5755/j01.eie.25.1.22734
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发表时间：
2019-02
影响因子：
1.3
通讯作者：
Jing Li;Guang Lin;Yu Huang
中科院分区：
文献类型：
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作者：
Jing Li;Guang Lin;Yu Huang
多时段最优潮流可以解决分布式可再生能源与储能系统相结合的现代配电系统的电力调度问题。针对多周期最优潮流问题，提出了一种通信高效的分散优化算法。首先，将现代配电系统的电力管理建模为一个基于二次松弛潮流方程的线性二次优化问题。其次，在枢纽母线上引入一些辅助变量，将配电系统分解为几个独立的部分。在此基础上，提出了基于扩展版交替方向乘法器（ADMM）的DOA算法。DOA通过局部本地消息交换演进，而无需中央协调。最后，将该配色方案应用于分散算法中，该配色方案与通信协议中使用的避免分组冲突的网络配色方案相一致。DOI: 10.5755 / j01.eie.25.1.22734
The multi-period version of the optimal power flow can tackle the power dispatch problem of modern distribution system with distributed renewable energy sources and energy storage system. In this paper, a communication-efficient decentralized optimization algorithm (DOA) for the multi-period optimal power flow problem is presented. Firstly, the power management of modern distribution system is modelled as a linear conic optimization problem based on the conically relaxed power flow equations. Secondly, some ancillary variables at the junction bus are introduced to decompose the distribution system into several separate parts. Moreover, the DOA based on the extended version of Alternating Direction Method of Multipliers (ADMM) is proposed. The DOA evolves by partial local message exchanges without central coordination. Finally, the colouring scheme, which is in accord with the network colouring used in communication protocols to avoid packet collisions, is applied in the decentralized algorithm as well. DOI: 10.5755/j01.eie.25.1.22734