DEVELOPMENT OF AN IMPROVED BINARY CODED GENETICALGORITHM OPTIMAL PMU DEPLOYMENT FOR COMPLETE NETWORK OBSERVABILITY
1 Department of Electrical Engineering, Ahmadu Bello University, Zaria Nigeria
2 Department of Electrical Engineering, Ahmadu Bello University, Zaria-Nigeria
3 Electronics Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli Anambra State, Nigeria
* Corresponding author: maziokonkwo1@gmail.com
2 Department of Electrical Engineering, Ahmadu Bello University, Zaria-Nigeria
3 Electronics Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli Anambra State, Nigeria
* Corresponding author: maziokonkwo1@gmail.com
Abstract
An Improved Binary Coded Genetic Algorithm for optimal Phasor Measurement
Unit (PMU) deployment. A new PMU deployment optimizer was developed, and
integrated into the conventional binary coded genetic algorithm (BCGA), to form
an improved binary coded genetic algorithm (IBCGA), with high rate of
convergence. This is applied for the optimal deployment of the PMUs in systems
with different sizes and topologies (both mesh and radial). The Improved
algorithm was developed and used to determine the optimal placement of PMU
with the objective to minimize the total number of PMU for complete network
observability. To ascertain its efficacy, the developed algorithm is applied to IEEE
14-bus mesh system and 33-bus, 69-bus radial systems. The results obtained for
IEEE 33-bus and 69-bus system were validated by comparing the results obtained
by the available literature, the proposed approach demonstrated effectiveness in
the optimal PMU deployment.
Keywords
Improved Binary Coded Genetic Algorithm (IBCGA)
Network Observability
Optimal Placement
Phasor Measurement Unit
State Estimation
How to Cite
Okonkwo, C., Jimoh, B., Jibril, Y., Akinbobola, J. A., & Onyema, E. (2021). DEVELOPMENT OF AN IMPROVED BINARY CODED GENETICALGORITHM OPTIMAL PMU DEPLOYMENT FOR COMPLETE NETWORK OBSERVABILITY. Zaria Journal of Electrical Engineering Technology, 10(2), 62-72.
C. Okonkwo, B. Jimoh, Y. Jibril, J. A. Akinbobola, and E. Onyema, "DEVELOPMENT OF AN IMPROVED BINARY CODED GENETICALGORITHM OPTIMAL PMU DEPLOYMENT FOR COMPLETE NETWORK OBSERVABILITY," Zaria Journal of Electrical Engineering Technology, vol. 10, no. 2, pp. 62-72, September 2021.
