基于线性化BESS模型的大规模传输网络最优BESS分配
Optimal BESS Allocation in Large Transmission Networks Using Linearized BESS Models
摘要：
在电池储能系统（BESS）最优分配问题中，最常用的模型是恒定效率模型。然而，BESS的充电和放电效率作为其充电状态、温度、充电/放电功率以及所考虑的BESS技术的函数而非线性地变化。因此，恒定效率模型可能不准确地表示BESS的非线性操作特性。在本文中，我们首先创建技术特定的线性BESS模型来自实际的非线性BESS模型。然后，我们将线性化BESS模型到一个混合整数线性规划框架的最佳多技术BESS分配。对2，604节点的美国输电网络进行的研究从模型精度、凸性和计算性能的角度证明了利用线性化BESS模型的好处。
英文摘要：
The most commonly used model for battery energy storage systems (BESSs) in optimal BESS allocation problems is a constant-efficiency model. However, the charging and discharging efficiencies of BESSs vary non-linearly as functions of their state-of-charge, temperature, charging/discharging powers, as well as the BESS technology being considered. Therefore, constant-efficiency models may inaccurately represent the non-linear operating characteristics of the BESS. In this paper, we first create technology-specific linearized BESS models derived from the actual non-linear BESS models. We then incorporate the linearized BESS models into a mixed-integer linear programming framework for optimal multi-technology BESS allocation. Studies carried out on a 2,604-bus U.S. transmission network demonstrate the benefits of utilizing the linearized BESS models from the model accuracy, convexity, and computational performance viewpoints.
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