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Distributed Optimization Control for Active Distribution Networks with High Penetration of Distributed PV Units

机译:具有高穿透性的分布式光伏装置的主动配电网的分布式优化控制

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As the penetration level of distributed photovoltaic system keeps increasing in distribution networks (DNs), overvoltage caused by reverse power flow is an urgent issue to be solved. This paper proposes a distributed optimization control method by scheduling of controllable resources within each partition of DNs. In this optimization problem, the complex relationship between the power flow variables were replaced by a linear formula, and then the power flow model was transformed into a cone programming model. Afterwards, by means of partitioning a DNs into several clusters and decoupling of tie-line in adjacent clusters, the original problem is decomposed into sub-problem of several clusters. According to collected local clusters data and finite boundary data exchange among adjacent clusters, the accelerated synchronous alternating direction method of multipliers (ADMM) are used to iteratively solve the optimal solution of the local clusters. After designing the synchronous ADMM, the convergence rate of synchronous ADMM is improved by the accelerated gradient method. The feasibility and effectiveness of the proposed methods are verified by the case study of the practical DNs in China.
机译:随着分布式光伏系统在配电网(DNs)中的普及程度不断提高,由逆潮流引起的过电压已成为亟待解决的问题。通过在DN的每个分区内调度可控资源,提出了一种分布式优化控制方法。在该优化问题中,将潮流变量之间的复杂关系替换为线性公式,然后将潮流模型转换为圆锥规划模型。然后,通过将DN划分为几个集群,并在相邻集群中解耦联系线,将原始问题分解为几个集群的子问题。根据收集到的局部聚类数据和相邻聚类之间的有限边界数据交换,采用加速同步交替方向乘数法(ADMM)迭代求解局部聚类的最优解。在设计了同步ADMM之后,通过加速梯度法提高了同步ADMM的收敛速度。通过对中国实际DN的案例研究,验证了所提方法的可行性和有效性。

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