论文标题

基于动态的重量协作优化功率电网电压调节

Dynamic Weight-Based Collaborative Optimization for Power Grid Voltage Regulation

论文作者

Cortés, Cristian, Haghi, Hamed Valizadeh, Li, Changfu, Kleissl, Jan

论文摘要

由于可再生资源的不可预测性质,具有高光伏发电的电源分配网格暴露于电压干扰。智能PV逆变器,如果彼此协调并不断适应发电和负载的实时条件,则可以有效地调节整个馈线的节点电压。这是一个相当新的概念,需要通信和分布式控制逻辑,以实现所有PV系统中反应能力的公平利用。在本文中,提出了协作反应能力优化,以最大程度地减少进料器条件下的电压偏差。协作优化的重量矩阵将根据每个PV系统的反应功率可用性进行更新,该系统会随着时间的推移而变化,具体取决于云条件和馈线加载。提出的更新允许具有较高反应性功率可用性的PV系统帮助其他PV系统调节其节点电压。进行了修改的IEEE 123节点测试馈线上的概念验证模拟,以显示所提出的方法与四种常见的反应性功率控制方法相比。

Power distribution grids with high PV generation are exposed to voltage disturbances due to the unpredictable nature of renewable resources. Smart PV inverters, if controlled in coordination with each other and continuously adapted to the real-time conditions of the generation and load, can effectively regulate nodal voltages across the feeder. This is a fairly new concept and requires communication and a distributed control logic to realize a fair utilization of reactive power across all PV systems. In this paper, a collaborative reactive power optimization is proposed to minimize voltage deviation under changing feeder conditions. The weight matrix of the collaborative optimization is updated based on the reactive power availability of each PV system, which changes over time depending on the cloud conditions and feeder loading. The proposed updates allow PV systems with higher reactive power availability to help other PV systems regulate their nodal voltage. Proof-of-concept simulations on a modified IEEE 123-node test feeder are performed to show the effectiveness of the proposed method in comparison with four common reactive power control methods.

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