Optimal allocation of power quality monitors based on an improved adaptive genetic algorithm

DOI

10.2991/jimet-15.2015.145How to use a DOI?

Keywords

voltage sag; observability; adaptive genetic algorithm; redundancy; monitor optimization allocation

Abstract

To solve power quality problems caused by voltage sag, an improved adaptive genetic algorithm is presented for the optimal allocation of power quality monitors. The basic idea of the algorithm is that the entire system can be observed when voltage sag occurs on the buses and along the lines, and thus, the minimum placement number of monitors is ensured. The fitness function of the genetic algorithm is adopted to evaluate individuals that randomly generate the placement number and the locations of monitors. The unobserved individuals are changed by applying the improved adaptive crossover operator and the mutation operator. The optimal solution is extracted from multiple eligible solutions by evaluating redundancy. The feasibility of the algorithm is verified on the IEEE30 bus system.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wang Hong
AU  - Li Dan
AU  - Huang Wenqing
AU  - Dai Yuxing
PY  - 2015/12
DA  - 2015/12
TI  - Optimal allocation of power quality monitors based on an improved adaptive genetic algorithm
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 774
EP  - 785
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.145
DO  - 10.2991/jimet-15.2015.145
ID  - Hong2015/12
ER  -