智能电网电能质量监测点个数的优化

Yuxin Wan, Junwei Cao, Huaying Zhang, Zhengguo Zhu, Senjing Yao
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引用次数: 14

摘要

智能电网的一个重要特征是电力系统的自愈和电能质量的改善。电能质量监测是实现这一功能的关键。由于经济原因,在电网的每个组成部分都安装电能质量监测器(PQM)并不可行。因此,如何在保证系统可观测性的前提下找到电能质量监测器的最优数量和位置就成为一个重要的问题。本文的主要贡献在于提供了考虑系统可观测性和故障定位约束的PQM优化问题的模型。然后将该模型公式化为一个整数线性问题,并简化为一组k中值决策问题。提出了一种局部搜索算法来解决这一问题。以IEEE 14总线网络为例进行研究。利用Matlab工具对算法的效率进行了评估,并与现有的分支定界算法进行了比较。实验结果表明,该算法在保持结果准确性的前提下,比现有算法提高了一个数量级以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of the power quality monitor number in Smart Grid
One of the most important features in smart grid is power system self-healing and power quality improvement. Power quality monitoring is essential to realize this feature. Installing power quality monitors (PQM) in every component of the power network is not feasible due to economic reasons. So how to find the optimal number and locations of power quality monitors while maintaining system observability becomes an important problem. The major contribution of this paper includes providing the model for PQM optimization problem considering both system observability and fault location constraints. The model is then formulized as an integer linear problem and reduced to a group of k-median decision problems. A local search algorithm is proposed to solve the problem. The IEEE 14 bus network is utilized as a case study. Algorithm efficiency is evaluated using Matlab tools and compared with an existing branch and bound algorithm. Experimental results show that proposed algorithm is more than an order of magnitude faster than current algorithm while maintain the accuracy of results.
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