论文标题
不平衡分配网络中约束静态状态估计的框架
A framework for constrained static state estimation in unbalanced distribution networks
论文作者
论文摘要
状态估计在从被动到分布系统的主动操作的过渡中起着关键作用，因为它允许监视这些网络，并连续地执行控制动作。但是，为配电系统设计状态估计器会带来很多挑战。这是由于网络的物理复杂性，例如相位不平衡和有限的测量值。此外，分配系统的特征呈现出明显的本地变化，例如电压级别以及客户数量和类型，这使得很难设计一个“单一尺寸合适的”状态估计器。本文介绍了一个统一的框架，该框架允许轻松实施和比较多样的不平衡静态状态估计模型。这是通过将状态估计作为一般约束优化问题提出的。这种方法的优点在大量配电馈线上的数值插图描述和支持。该框架也已实施并提供开源。
State estimation plays a key role in the transition from the passive to the active operation of distribution systems, as it allows to monitor these networks and, successively, to perform control actions. However, designing state estimators for distribution systems carries a significant amount of challenges. This is due to the physical complexity of the networks, e.g., phase unbalance, and limited measurements. Furthermore, the features of the distribution system present significant local variations, e.g., voltage level and number and type of customers, which makes it hard to design a "one-size-fits-all" state estimator. The present paper introduces a unifying framework that allows to easily implement and compare diverse unbalanced static state estimation models. This is achieved by formulating state estimation as a general constrained optimization problem. The advantages of this approach are described and supported by numerical illustration on a large set of distribution feeders. The framework is also implemented and made available open-source.
