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Model-based Volt-Var Optimization using Advanced Metering Infrastructure in distribution networks

机译:配电网络中使用高级计量基础架构的基于模型的Volt-Var优化

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Volt/Var Optimization (VVO) technology helps to ensure that power is delivered to customers at optimal power factor to minimize line loss and maintain acceptable voltage at all points along the distribution feeder. Meanwhile, applying Conservation Voltage Reduction (CVR) will lower the customer's peak demand to conserve more energy. Advanced Metering Infrastructure (AMI) realizes the voltage monitoring and management at customers' side. This paper presents an VVO approach associated with CVR using prime-dual interior point method (PDIPM) applied on a system model based with AMI data, to make customers' voltages achieve the lower portion of the accepted range and meanwhile minimize the sum of power loss and power demand. Compared to the widely used algorithm, i.e. Genetic Algorithm (GA), PDIPM has an obvious advantage at better operation regularity of capacitors and more energy saving. IEEE 33 bus test system, as well as a practical distribution network is adopted for the validation and comparison. The results show that PDIPM is stable and effective for VVO application in power industry.
机译:电压/电压优化(VVO)技术有助于确保以最佳功率因数向客户供电,以最大程度地降低线路损耗并在配电馈线的所有点上保持可接受的电压。同时,采用节能降压(CVR)将降低客户的峰值需求,以节省更多能源。先进的计量基础架构(AMI)在客户端实现了电压监控和管理。本文介绍了一种基于CVR的VVO方法,该方法使用基于AMI数据的系统模型上的质对偶内点法(PDIPM),使客户的电压达到可接受范围的较低部分,同时最大程度地减少了功耗和电力需求。与广泛使用的算法(即遗传算法)相比,PDIPM具有更好的电容器工作规律性和更多的节能优势。验证和比较采用IEEE 33总线测试系统以及实际的配电网络。结果表明,PDIPM对于电力行业的VVO应用是稳定有效的。

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