With the proliferation of distributed energy resources and the volume of data stored due to advancement in metering infrastructure, energy management in power system operation needs distributed computing. In this paper, we propose a fully distributed Alternating Direction Method of Multipliers (ADMM) algorithm to solve the distributed economic dispatch (ED) problem, where the optimization problem is fully decomposed between participating agents. In our proposed framework, each agent estimates the dual variable and the average of the total power mismatch of the network using dynamic average consensus, which replaces the dual updater in the traditional ADMM with a distributed alternative. Unlike other distributed ADMM, the proposed method does not rely on any specific assumption and captures the real-time demand change. The algorithm is validated successfully via case studies for IEEE 30-bus and 300-bus test systems with the penetration of solar photovoltaic.

中文翻译：

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乘法器交替方向法分布式动态经济调度

随着分布式能源的激增和由于计量基础设施的进步而存储的数据量，电力系统运行中的能源管理需要分布式计算。在本文中，我们提出了一种完全分布式乘法器交替方向法（ADMM）算法来解决分布式经济调度（ED）问题，其中优化问题在参与代理之间完全分解。在我们提出的框架中，每个代理使用动态平均共识来估计网络的双变量和总功率失配的平均值，这用分布式替代方案取代了传统 ADMM 中的双更新器。与其他分布式 ADMM 不同，所提出的方法不依赖于任何特定的假设并捕获实时需求变化。