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A Framework for Volt-VAR Optimization in Distribution Systems

机译：配电系统中伏特-无功优化的框架

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The possibility of leveraging the data provided by smart meters to understand the load characteristics is studied in this paper. The loads are modeled as voltage-dependent elements to increase the accuracy of volt-VAR optimization (VVO) techniques for distribution systems. VVO techniques are part of the distribution management system and may be used for purposes such as loss reduction, voltage profile improvement, and conservation voltage reduction. A deterministic framework is proposed that formulates the VVO problem as a mixed-integer quadratically constrained programming problem, which is solved efficiently using advanced branch-and-cut techniques. The proposed framework is capable of optimally controlling capacitor banks, voltage regulators, and under-load tap changers (ULTCs) for day-ahead operation planning. The results indicate that loss reductions of up to 40% and a total demand reduction of up to 4.8% are achievable under some loading conditions in a radial test system. The effect of the load voltage dependence is also demonstrated through analytical simulations.
机译：本文研究了利用智能电表提供的数据来了解负载特性的可能性。将负载建模为与电压相关的元素，以提高配电系统的VAR-VAR优化（VVO）技术的准确性。 VVO技术是配电管理系统的一部分，可用于减少损耗，改善电压曲线和降低保存电压等目的。提出了一种确定性框架，该框架将VVO问题公式化为混合整数二次约束规划问题，可以使用高级分支剪切技术有效地解决该问题。所提出的框架能够为日前运行计划最佳地控制电容器组，稳压器和欠载分接开关（ULTC）。结果表明，在径向测试系统中的某些负载条件下，可以实现高达40％的损耗降低和总需求的4.8％的降低。负载电压依赖性的影响也通过分析仿真得到了证明。

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