Direct, Efficient, and Real-Time Simulation of Physics-Based Battery Models for Stand-Alone PV-Battery Microgrids
Direct, Efficient, and Real-Time Simulation of Physics-Based Battery Models for Stand-Alone PV-Battery Microgrids
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DOI：
10.1149/2.0031711jes
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发表时间：
2017-10
影响因子：
3.9
通讯作者：
Seong-Beom Lee;Chintan Pathak;V. Ramadesigan;Wenzhong Gao;V. Subramanian
中科院分区：
文献类型：
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作者：
Seong-Beom Lee;Chintan Pathak;V. Ramadesigan;Wenzhong Gao;V. Subramanian
随着基于可再生能源的电力系统在地球仪的家庭中变得越来越普遍，微电网正变得越来越普遍，并可能为未来的能源分配铺平道路。独立的电力系统组件，包括电池的精确和经济的尺寸，一直是一个活跃的研究领域，但目前的控制方法并没有使他们在经济上可行。通常，电池被视为黑盒子，在当前的微电网仿真和控制算法中不考虑其内部状态。这可能导致电池利用率不足和过度堆叠。相比之下，详细的基于物理的电池模型，考虑到内部状态，可以节省大量的能源和成本，利用电池最大限度地延长寿命和可用性。重要的是要确定如何有效地将基于物理的电池模型纳入当前的电网控制策略并加以解决。在本文中，我们提出了简单的例子，微电网和直接模拟相同的，包括基于物理的电池模型。一个代表性的微电网的例子，它集成了独立的光伏阵列，最大功率点跟踪（MPPT）控制器，电池和电力电子，说明。将MPPT控制器算法和基于物理的电池模型沿着与其他微电网组件一起实现为微分代数方程，
With renewable energy based electrical systems becoming more prevalent in homes across the globe, microgrids are becoming widespread and could pave the way for future energy distribution. Accurate and economical sizing of stand-alone power system components, including batteries, has been an active area of research, but current control methods do not make them economically feasible. Typically, batteries are treated as a black box that does not account for their internal states in current microgrid simulation and control algorithms. This might lead to under-utilization and over-stacking of batteries. In contrast, detailed physics-based battery models, accounting for internal states, can save a significant amount of energy and cost, utilizing batteries with maximized life and usability. It is important to identify how efficient physics-based models of batteries can be included and addressed in current grid control strategies. In this paper, we present simple examples for microgrids and the direct simulation of the same including physics-based battery models. A representative microgrid example, which integrates stand-alone PV arrays, a Maximum Power Point Tracking (MPPT) controller, batteries, and power electronics, is illustrated. Implementation of the MPPT controller algorithm and physics-based battery model along with other microgrid components as differential algebraic equations is