Communication-Efficient Distributed Demand Response: A Randomized ADMM Approach
Communication-Efficient Distributed Demand Response: A Randomized ADMM Approach
复制标题
DOI：
10.1109/tsg.2015.2469669
复制
发表时间：
2017-05
影响因子：
9.6
通讯作者：
Shin-Ching Tsai;Yi-Hen Tseng;Tsung-Hui Chang
中科院分区：
文献类型：
--
作者：
Shin-Ching Tsai;Yi-Hen Tseng;Tsung-Hui Chang
在本文中，我们考虑分布式需求响应（DDR）问题，以在拥有大量负荷用户和可再生能源（RES）的社区中实现实时功率平衡。虽然大多数现有的DDR方案需要用户和负荷聚合器之间通过双向通信进行迭代信息交换，但本文研究的DDR方案仅依赖用户之间的邻域通信。这种DDR方案可通过低成本无线网络实现。为此，我们提议使用一种随机交替方向乘子法来开发一种完全分布式的DDR算法。值得注意的是，所提出的DDR算法具有通信高效性，因为它通过几次邻域消息交换就能产生良好的功率平衡性能。此外，所提出的DDR算法不需要用户之间同步，并且对随机通信错误具有鲁棒性。为了进行在线需求响应控制，我们将所提出的DDR算法与基于滚动窗口的模型预测控制方法以及简单的负荷和RES预测方法相结合。通过使用真实的太阳能数据，我们通过模拟证明所提出的DDR算法极大地改善了实时功率平衡，并且优于使用次梯度法进行优化的现有DDR方案。
In this paper, we consider the distributed demand response (DDR) problem for achieving the real-time power balance in a neighborhood with a large number of load customers and renewable energy sources (RES). While most of the existing DDR schemes require iterative information exchange between the customers and the load aggregator through two-way communications, this paper studies the DDR schemes that rely on neighbor-wise communication between customers only. Such DDR schemes can be realized by low-cost wireless networks. To this end, we propose the use of a randomized alternating direction method of multipliers to develop a fully DDR algorithm. Notably, the proposed DDR algorithm is communication-efficient because it can yield promising power balance performance using a few times of neighbor-wise message exchanges. Moreover, the proposed DDR algorithm does not need synchronization between customers and is robust against random communication errors. For performing online demand response control, we combine the proposed DDR algorithm with the rolling-window-based model-predictive control method, and simple load and RES forecasting methods. By using real solar power data, we demonstrate via simulations that the proposed DDR algorithm improves the real-time power balance substantially and outperforms the existing DDR schemes that use the subgradient method for optimization.