Toward PMU-based robust automatic voltage control (AVC) and automatic flow control (AFC)

Toward PMU-based robust automatic voltage control (AVC) and automatic flow control (AFC)
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迈向基于 PMU 的鲁棒自动电压控制 (AVC) 和自动流量控制 (AFC)

DOI:
10.1109/pes.2010.5589518
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发表时间:
2010
期刊:
IEEE PES General Meeting
影响因子:
--
通讯作者:
M. Ilić
M. Ilić
中科院分区:
--
文献类型:
--
作者:
Zhijian Liu;M. Ilić

文献摘要

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这篇论文的动机是需要自动调整关键输出变量与其计划值的偏差。特别是,重要的是要将负载电压保持在其预先指定的限度内,以响应许多干扰,例如负载功率因数偏差。同样,随着实际计划发电调度的扰动发生,将实际电力线流量控制在其预先指定的限度内也很重要。这样的自动化是一个可行的目标,因为项目管理单元可以提供对感兴趣的关键输出变量的准确和快速的监测。在给定PMU数量的情况下,PMU的最佳位置选择和基于这些测量值的控制设计成为一个工程设计问题。在本文中,我们为稳健的自动电压控制(AVC)和自动流量控制(AFC)设计提供了一个问题公式,该设计基于选择PMU的最佳位置。AVC和AFC的设计首先用一个小的5母线例子来说明。然后说明了这种设计在一个等效的NPCC36节点系统上的潜在性能。结果表明,通过对给定需求预测的调度资源进行经济调度,并依靠自动反馈来确保调度间隔之间的电压和线路潮流偏差保持在预先指定的范围内,可以满足(N−1)可靠性准则。这是在不必知道干扰的确切位置和大小的情况下完成的。
This paper is motivated by the need to automate adjustments of deviations in key output variables from their scheduled values. In particular, it is important to maintain load voltages within their pre-specified limits in response to many disturbances, for example load power factor deviations. Similarly, it is important to regulate real power line flows to within their pre-specified limits as disturbances around scheduled real power generation dispatch take place. Such automation is a feasible goal since the PMUs could provide accurate and fast sensing of key output variables of interest. Given the number of PMUs, the selection of best locations of PMUs and the control design based on these measurements becomes an engineering design problem. In this paper we provide a problem formulation for a robust Automated Voltage Control (AVC) and Automated Flow Control (AFC) design based on selecting the best locations for placing the PMUs. The AVC and AFC designs are illustrated using a small 5-bus example first. This is followed by illustrating potential performance of such design on an equivalent NPCC 36-bus system. The results indicate that the (N−1) reliability criteria can be met by combining the economic dispatch for scheduling resources given demand forecast, and by relying on an automated feedback to ensure that voltage and line flow deviations remain within the pre-specified limits in between scheduling intervals. This is done without having to know the exact location and magnitude of disturbances.