Chongqing Fuling Electric Power Industry Co., Ltd, Chongqing, China.
PLoS One. 2021 Oct 13;16(10):e0257885. doi: 10.1371/journal.pone.0257885. eCollection 2021.
To promote the coordinated development between renewable energy and the distribution network, a capacity allocation model of battery energy storage systems (BESS) is proposed to achieve the coordinated optimization for active and reactive power flow, which can reduce the voltage deviation and improve the absorptive capacity for renewable energy. In addition, BESS with four-quadrant operation characteristics, on-load tap changer, and capacitor banks are treated as flexible devices to improve the adaptability for renewable energy fluctuations. In view of the uncertainties of renewable energy caused by the inaccuracy of historical sample data, a set of extreme scenarios with the characteristics of temporal and spatial correlation are considered to obtain a robust BESS configuration decision. The big-M approach and the second-order conic relaxation technique are utilized to convert the BESS capacity allocation model into a mixed-integer linear programming problem. Finally, the IEEE 33-node distribution system is taken as an example to verify the effectiveness of the proposed method.
为了促进可再生能源与配电网的协调发展，提出了一种电池储能系统（BESS）的容量配置模型，以实现有功和无功潮流的协调优化，从而降低电压偏差，提高可再生能源的吸纳能力。此外，具有四象限运行特性、有载分接开关和电容器组的 BESS 被视为灵活设备，以提高对可再生能源波动的适应性。针对由于历史样本数据不准确而导致的可再生能源不确定性，考虑了一组具有时空相关性的极端场景，以获得稳健的 BESS 配置决策。大 M 法和二阶锥松弛技术被用于将 BESS 容量配置模型转换为混合整数线性规划问题。最后，以 IEEE 33 节点配电系统为例验证了所提方法的有效性。
