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Roof-Top Stand-Alone PV Micro-Grid: A Joint Real-Time BES Management, Load Scheduling and Energy Procurement From a Peaker Generator

机译:屋顶独立光伏微电网:来自Peaker发电机的实时BES联合管理,负荷调度和能源采购

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摘要

In this paper, we propose a user centric real-time (RT) technique for an optimal control of a distributed photovoltaic stand-alone micro-grid. Our objective is to minimize an average aggregated system cost over a finite time period considering a joint optimization problem of battery energy storage (BES) management, load scheduling, and energy procurement process from a peaker generator (PG). Due to online decision making, the dynamic control actions of the state of energy of the storage battery are correlated over time. Thus, we impose a constraint on the BES state of energy over the considered time period and eliminate the finite BES capacity constraint. In the load scheduling process, we account for the temporal variability and spatial uncertainty of each household load explicitly. We introduce the concept of block duration to optimize the energy procurement cost from a PG. We modify and then transform the problem to utilize the Lyapunov optimization technique. We show that the proposed solution to the joint optimization problem is asymptotically optimal with a bounded performance guarantee and is easy to implement. Simulations in different weather conditions show the effectiveness of our proposed user centric RT solution in terms of the selected performance metrics.
机译:在本文中,我们提出了一种以用户为中心的实时(RT)技术,用于分布式光伏独立微电网的最优控制。我们的目标是考虑电池能量存储(BES)管理,负荷调度和从峰值发生器(PG)的能量采购过程的联合优化问题,在有限的时间段内将平均总系统成本降至最低。由于在线决策,蓄电池能量状态的动态控制动作会随时间而变化。因此,我们在所考虑的时间段内对BES的能量状态施加了约束,并消除了有限的BES容量约束。在负荷调度过程中,我们明确考虑每个家庭负荷的时间变异性和空间不确定性。我们引入区块持续时间的概念,以优化PG的能源采购成本。我们使用Lyapunov优化技术修改问题,然后对其进行变换。我们表明,所提出的联合优化问题解决方案具有渐近最优性,并且具有有限的性能保证,并且易于实现。在不同天气条件下的仿真表明,根据所选的性能指标,我们提出的以用户为中心的RT解决方案是有效的。

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