Cooperative distributed scheduling for storage devices in microgrids using dynamic KKT multipliers and consensus networks
Cooperative distributed scheduling for storage devices in microgrids using dynamic KKT multipliers and consensus networks
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DOI：
10.1109/pesgm.2015.7286376
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发表时间：
2015-07
期刊：
影响因子：
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通讯作者：
Navid Rahbari-Asr;Y. Zhang;M. Chow
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文献类型：
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作者：
Navid Rahbari-Asr;Y. Zhang;M. Chow
在具有多种可再生能源的微电网中，存储设备的调度对于其优化和可靠运行至关重要。通过适当的调度，存储设备可以在可再生能源发电量高且公用事业能源价格低时捕获能量，并在需求高或公用事业能源价格昂贵时释放能量。这种调度是一个多步优化问题，其中不同的时间步长是相互依赖的。传统上，这个问题是集中解决的。中央控制器应该能够访问系统的实时状态以及预测的负载和可再生能源发电信息。它还应该具有向每个存储设备发送调度命令的能力。然而，随着设备数量的增加，集中式方法将无法扩展，并且容易受到单点故障的影响。结合动态KKT乘法器和共识网络的思想，提出了一种新的微电网存储设备优化调度算法，该算法可以通过设备与邻居的点对点协调来实现，而无需使用中央控制器。
Scheduling of storage devices in microgrids with multiple renewable energy resources is crucial for their optimal and reliable operation. With proper scheduling, the storage devices can capture the energy when the renewable generation is high and utility energy price is low, and release it when the demand is high or utility energy price is expensive. This scheduling is a multi-step optimization problem where different time-steps are dependent on each other. Conventionally, this problem is solved centrally. The central controller should have access to the real-time states of the system as well as the predicted load and renewable generation information. It should also have the capability to send dispatch commands to each storage device. However, as the number of devices increases, the centralized approach would not be scalable and will be vulnerable to single point of failure. Combining the idea of dynamic KKT multipliers with consensus networks, this paper introduces a novel algorithm that can optimally schedule the storage devices in a microgrid solely through peer-to-peer coordination of devices with their neighbors without using a central controller.