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arXiv 2007.16039eess.SYcs.SY
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基于数据驱动逆变器的部分可观测配电网电压/无功控制

Data-driven Inverter-based Volt/VAr Control for Partially Observable Distribution Networks

Tong Xu, Wenchuan Wu, Yiwen Hong, Junjie Yu, Fazhong Zhang

摘要:

对于集成了大量基于逆变器的能量资源的有源配电网(ADN),由于ADN的大规模,在所有节点处保持精确的模型和部署测量是不切实际的。因此,ADN的当前模型通常涉及显著误差甚至未知。此外,ADN通常是部分可观察的,因为在导频节点或具有重要用户的节点处只有少数测量可用。为了提供一种实用的电压/无功控制策略,本文提出了一种数据驱动的VVC方法。首先,系统的响应策略,近似的控制变量和监测节点的状态之间的关系,估计的递归回归封闭形式的解决方案。然后,基于实时测量和新更新的系统响应策略,实现了具有收敛保证的VVC策略。由于递归回归解决方案嵌入在控制阶段,数据驱动的闭环VVC框架建立。在考虑非线性负荷的不平衡配电系统中验证了该方法的有效性,不仅实现了快速自适应电压调节,而且实现了全系统的优化。

英文摘要:

For active distribution networks (ADNs) integrated with massive inverter-based energy resources, it is impractical to maintain the accurate model and deploy measurements at all nodes due to the large-scale of ADNs. Thus, current models of ADNs are usually involving significant errors or even unknown. Moreover, ADNs are usually partially observable since only a few measurements are available at pilot nodes or nodes with significant users. To provide a practical Volt/Var control (VVC) strategy for such networks, a data-driven VVC method is proposed in this paper. Firstly, the system response policy, approximating the relationship between the control variables and states of monitoring nodes, is estimated by a recursive regression closed-form solution. Then, based on real-time measurements and the newly updated system response policy, a VVC strategy with convergence guarantee is realized. Since the recursive regression solution is embedded in the control stage, a data-driven closed-loop VVC framework is established. The effectiveness of the proposed method is validated in an unbalanced distribution system considering nonlinear loads where not only the rapid and self-adaptive voltage regulation is realized but also system-wide optimization is achieved.

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