Optimal real-time control of multiple battery sets for power system applications
Optimal real-time control of multiple battery sets for power system applications
复制标题
电力系统应用的多组电池组的优化实时控制
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
J. Mathieu
中科院分区：
文献类型：
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作者：
Philipp Fortenbacher;G. Andersson;J. Mathieu
由于光伏发电的高输入功率，预计在不久的将来会有更多的电池系统安装在配电网中。本文提出了一种实时优化控制多组蓄电池为电力系统提供服务的方法。该方法基于模型预测控制（MPC）框架，该框架试图跟踪聚合信号，同时最小化i)在高/低充电状态下的操作，这将导致电池退化；Ii)包括电池系统在内的整体功率损耗；iii)网络损耗，并考虑网络约束。我们的方法的性能在一个应用中得到了证明，该应用在一个包含光伏和负载的网络中协调多个电池组的运行。由于我们的MPC控制器可以处理非凸分段线性函数，因此系统损失可以比凸公式更详细地建模。我们表明，与以相同方式操作所有电池的方法相比，采用我们的方法可以减少总电池系统损耗35%。
Due to high power in-feed from photovoltaics, it is expected that more battery systems will be installed in the distribution grid in near future. In this paper, we present a method to optimally control multiple battery sets in real-time to collectively provide services to power systems. The method is based on a Model Predictive Control (MPC) framework that tries to track an aggregated signal, while minimizing i) operation in high/low state of charge regimes, which would lead to battery degradation; ii) overall power losses including battery system, and iii) network losses, and considering network constraints. The performance of our approach is demonstrated for an application that coordinates several battery sets operating within a network containing photovoltaics and loads. Since our MPC controller can deal with non-convex piece-wise linear functions, the system losses can be modeled in more detail than in convex formulations. We show that the total battery system losses can be reduced by 35% with our approach as compared to approaches that operate all batteries in the same way.