A New Method for Optimal Harmonic Meter Placement
Abstract
In this research, a new method based on Singular Value Decomposition (SVD) is proposed to solve the problem of optimal placement of meters for static estimation of harmonic sources in a power system. Also, the Binary Genetic Algorithm (BGA) is used to solve the problem of optimization. IEEE 14-bus test system is provided to validate the measurement placement algorithm. It has been observed that the quality of estimation is improved and the Number of Observable Variable (NOV) is increased. Moreover, the BGA-based meter placement strategy yields the same solution as obtained from the complete enumeration technique but in shorter time.
DOI: https://doi.org/10.3844/ajassp.2008.1499.1505
Copyright: © 2008 A. Ketabi and S.A. Hosseini. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Harmonic state estimation (HSE)
- singular value decomposition
- optimal meter placement
- binary Genetic algorithm (BGA)