DocumentCode :
1795518
Title :
Optimization of the power quality monitor number in Smart Grid
Author :
Yuxin Wan ; Junwei Cao ; Huaying Zhang ; Zhengguo Zhu ; Senjing Yao
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
3-6 Nov. 2014
Firstpage :
230
Lastpage :
235
Abstract :
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.
Keywords :
fault location; integer programming; linear programming; power engineering computing; power supply quality; power system measurement; smart power grids; IEEE 14 bus network; Matlab tools; PQM optimization; fault location; integer linear problem; k-median decision problems; local search algorithm; power quality monitors; power system self-healing; smart grid; Algorithm design and analysis; Fault location; Monitoring; Observability; Optimization; Power quality; Vectors; fault location; local search algorithm; optimization; power quality; power quality monitor; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on
Conference_Location :
Venice
Type :
conf
DOI :
10.1109/SmartGridComm.2014.7007651
Filename :
7007651
Link To Document :
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