Analytical Voltage Sensitivity Analysis for Unbalanced Power Distribution System

Analytical Voltage Sensitivity Analysis for Unbalanced Power Distribution System
复制标题

不平衡配电系统电压灵敏度分析

DOI:
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发表时间:
2020
期刊:
IEEE Power & Energy Society General Meeting
影响因子:
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通讯作者:
B. Natarajan
B. Natarajan
中科院分区:
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文献类型:
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作者:
Sai Munikoti;K. Jhala;Kexing Lai;B. Natarajan

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交互式能源环境中分布式能源和电动汽车的大规模整合对配电系统的电压稳定性和波动提出了新的挑战。不同水平的 DER/EV 渗透率对整个网络电压的影响通常通过电压敏感性分析进行量化。现有的电压灵敏度分析方法的计算成本很高,并且先前开发解析近似的努力缺乏通用性并且尚未得到有效验证。这项工作的目的是提供一种新的电压灵敏度分析方法,该方法具有较低的计算成本,并且还允许对电压变化进行随机分析。本文首先推导了径向三相不平衡配电系统中由于其他母线功耗变化而引起的特定母线电压变化的解析近似。然后,所提出的方法被证明对于不同的负载配置是有效的,这证明了其通用性。我们的分析方法的结果通过基于 IEEE 37 总线网络的测试系统的经典潮流模拟进行了验证。所提出的方法被证明具有良好的准确性,与经典敏感性分析方法中的 $O(n^{3})$ 相比,计算复杂度为 $O(1)$ 量级。
Large scale integration of distributed energy resources and electric vehicles in a transactive energy environment present new challenges in terms of voltage stability and fluctuations in a power distribution system. The impact of different level of DER/EV penetration on the voltages across the network is typically quantified through voltage sensitivity analyses. Existing methods of voltage sensitivity analysis are computationally expensive and prior efforts to develop analytical approximation lacks generality and have not been effectively validated. The objective of this work is to provide a new analytical method of voltage sensitivity analysis that has low computational cost and also allows for stochastic analysis of voltage change. This paper first derives an analytical approximation of change in voltage at a particular bus due to change in power consumption at other bus in a radial three phase unbalanced power distribution system. Then, the proposed method is shown to be valid for different load configurations, which demonstrates its generality. The results from our analytical approach is validated via classical load flow simulation of the test system based on IEEE 37 bus network. The proposed method is shown to have good accuracy, and computation complexity is of order $O(1)$, compared to $O(n^{3})$ in classical sensitivity analysis approaches.