Vol 2 No 7 (2016): IJRDO - Journal of Electrical And Electronics Engineering
Articles

Optimization Strategy of an Electric Energy Multi - Source Power Station

Ndjiya Ngasop
National School of Agro-Industrial Sciences (ENSAI), University of Ngaoundere,
Bio
Ndjiya Ngasop
National School of Agro-Industrial Sciences (ENSAI), University of Ngaoundere
Bio
Nana Tayou
ENSAI/University of Ngaoundere
Bio
Ernest Kiata
University of Ngaoundere
Bio
Haman- Djalo
ENSAI/University of Ngaoundere, Cameroon
Bio
Published July 31, 2016
Keywords
  • Strategies,
  • Optimization,
  • Electric energy, Multi - Source station,
  • Ants Colonies of Power station
How to Cite
Ngasop, N., Ngasop, N., Tayou, N., Kiata, E., & Djalo, H.-. (2016). Optimization Strategy of an Electric Energy Multi - Source Power Station. IJRDO - Journal of Electrical And Electronics Engineering (ISSN: 2456-6055), 2(7), 01-11. Retrieved from https://ijrdo.org/index.php/eee/article/view/201

Abstract

This study presents a strategy for economic and environmental optimization of a multi - source power station while satisfying demand and deducting the on line active losses using the algorithm method of an ant colony, implemented in a MATLAB environment version 7.6. Values of μ, the coefficient of ponderation was in the range 0< μ <1 and at μ= 0.6, we obtained the optimal conditions which include, for the IEEE 30 nodes network, the cost of production was 819.996 $/h, emissions 0.269 Ton/h and the total Cost 968.33036$/h, on lines losses of 6.92 MW with a calculation time of 6.38 seconds. For the Algerian 114 nodes network, we obtained the cost of production as 19668.9445 $/h, emissions of 0.673 Ton/h, the total cost of 20596.032 $/h, on line losses of 17.1MW with a calculation time of 9.179 second. The results revealed that whatever the size of the network, ACO gave optimal values and from networks of more than 10 generators, ACOS fastest convergence time. We concluded that the strategy presents a good result compared to other Meta – heuristic methods

Downloads

Download data is not yet available.