论文标题
非线性时间变化的最佳功率流的在线分散跟踪耦合传输 - 分布网格
Online decentralized tracking for nonlinear time-varying optimal power flow of coupled transmission-distribution grids
论文作者
论文摘要
用于耦合传输 - 分布网格的协调交替的当前最佳功率流（ACOPF）对于处理与可再生能源高渗透有关的问题至关重要。但是，由于隐私问题，在中央获得所有系统详细信息并在集中求解ACOPF是不可行的。间歇性的RES和不可控制的负载可以迅速改变电网的工作条件。现有的分散优化方法很少跟踪时变ACOPF的最佳解决方案。在这里，我们提出了一种在线分散的优化方法，以跟踪耦合传输 - 分布网格的时变ACOPF。首先，从控制的角度将随时间变化的ACOPF问题转换为基于Karush-Kuhn-Tucker条件的动态系统。其次，开发了由部分导数表示的预测项，以提高动态系统的跟踪准确性。第三，用于解决动态系统的分散实现是基于关于边界变量的少数信息交换而设计的。此外，所提出的算法可用于直接解决非线性功率流程方程，而无需依赖凸松弛或线性化技术。数值测试结果揭示了所提出算法的有效性和快速跟踪性能。
The coordinated alternating current optimal power flow (ACOPF) for coupled transmission-distribution grids has become crucial to handle problems related to high penetration of renewable energy sources (RESs). However, obtaining all system details and solving ACOPF centrally is not feasible because of privacy concerns. Intermittent RESs and uncontrollable loads can swiftly change the operating condition of the power grid. Existing decentralized optimization methods can seldom track the optimal solutions of time-varying ACOPFs. Here, we propose an online decentralized optimization method to track the time-varying ACOPF of coupled transmission-distribution grids. First, the time-varying ACOPF problem is converted to a dynamic system based on Karush-Kuhn-Tucker conditions from the control perspective. Second, a prediction term denoted by the partial derivative with respect to time is developed to improve the tracking accuracy of the dynamic system. Third, a decentralized implementation for solving the dynamic system is designed based on only a few information exchanges with respect to boundary variables. Moreover, the proposed algorithm can be used to directly address nonlinear power flow equations without relying on convex relaxations or linearization techniques. Numerical test results reveal the effectiveness and fast-tracking performance of the proposed algorithm.
