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An Increment-Based Online Distributed Optimization Method for Distribution Networks with High PV Integration

机译:高集成度的基于增量的配电网在线分布式优化方法

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To deal with the voltage problems emerging in distribution networks with high photovoltaic (PV) integration, this paper proposes an increment-based online distributed optimal power flow (OPF) algorithm to improve the voltage profiles, while improving the accuracy of the objective value aiming at maximizing the social welfare of distribution networks. This algorithm is developed based on the transmission of price incentive signals from the distribution system operator (DSO) to PV owners, which then drive the PV owners to regulate output increments and send the output increments back to the DSO. It not only can protect the private information of distributed PVs from being exposed to the DSO but also enhances the robustness of the distribution network to the grid-connected scale of PV systems. The numerical test results demonstrate the above merits of the proposed algorithm.
机译:为了解决具有高光伏(PV)集成度的配电网络中出现的电压问题,本文提出了一种基于增量的在线分布式最优潮流(OPF)算法,以改善电压曲线,同时提高目标值的准确性,最大限度地提高分销网络的社会福利。该算法是基于将价格激励信号从配电系统运营商(DSO)传输到PV所有者而开发的,然后,该激励信号驱动PV所有者调节输出增量并将输出增量发送回DSO。它不仅可以保护分布式光伏发电的私人信息免于暴露于DSO,还可以提高配电网络对光伏发电系统并网规模的稳健性。数值测试结果证明了该算法的上述优点。

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