Abstract This paper proposes a distributed online OPF algorithm for distribution systems with high integration of electronic-interfaced distributed energy resources (DERs). The algorithm can coordinate the update of DER set-points on fast time scales only depending on local measurements and boundary information for each distribution area. Comparing with the existing distributed online algorithms that require some special setups (e.g., without considering the constraints on currents), the proposed algorithm can cope with various setups for the objective functions and constraints. The algorithm is based on solving the Taylor approximations of OPF problems by a distributed solution. In this solution, we design a strategy to formulate the second-order Taylor information in a distributed way by decomposing the sensitivities of the OPF targets among different areas; moreover, we design a method to simplify the constraints on DER outputs to accelerate the solution. The validity of the algorithm is verified by case studies, which show that it can continuously drive DER outputs towards the time-varying OPF targets composed of power losses and operation costs of DERs while satisfying the constraints on voltages and currents.

中文翻译：

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配电系统分布式在线优化潮流

摘要 本文提出了一种分布式在线OPF算法，用于具有电子接口分布式能源（DER）高度集成的配电系统。该算法可以仅根据每个分布区域的局部测量和边界信息，在快速时间尺度上协调 DER 设定点的更新。与需要一些特殊设置（例如，不考虑电流约束）的现有分布式在线算法相比，所提出的算法可以应对目标函数和约束的各种设置。该算法基于通过分布式解决方案求解 OPF 问题的泰勒近似。在这个解决方案中，我们设计了一种策略，通过分解不同区域之间 OPF 目标的敏感性，以分布式方式制定二阶泰勒信息；此外，我们设计了一种方法来简化对 DER 输出的约束以加速解决方案。通过案例研究验证了该算法的有效性，表明它可以在满足电压和电流约束的同时，不断地将 DER 输出驱动到由 DER 的功率损耗和运行成本组成的时变 OPF 目标。