Joule losses in the power grids are a factor in the degradation of power
grid equipment (lines and transformers), but also a shortfall for power
companies, which must maximize their revenues. This is why in this article we
present a study on the optimization of joule losses in a meshed electricity network
interconnected to a very high voltage power line crossing Congolese territory
for nearly one thousand five hundred (1500) kilometers. The value of
interconnections no longer needs to be demonstrated in view of these technical,
economic and social advantages. The object of this study is to assess the
optimal node where the interconnection can be achieved which would cause fewer
joule losses in the networks to be interconnected on this line. Indeed, it can
have several possible nodes where the interconnection can be carried out, so it
is necessary to simulate each configuration in order to evaluate the losses
using the hybrid method including the genetic algorithm to provide different configurations
and the Newton Raphson algorithm. Advanced integrating FACTS devices in this
case STATCOM to perform load flow. The results are interesting because by
injecting electrical energy to the network or to the line to the same selected,
the joule losses are within the standards provided by the International Electrotechnical
Commission.
References
[1]
Prisme (2001) Contrôle des pertes non techniques d’électricité. Institut de l’énergie et de l’environnement de la Francophonie (IEPF). Fiche technique No. 8.
[2]
StéphaneGerbex (2003) Metaheuristiques Appliquees Au Placement Optimal De Dispositifs Facts dans un Réseau Electrique. Thèse de doctorat No. 2742. EPFL.
[3]
Acha, E., Fuerte-Esquivel, C.R., Ambriz-Perez, H. and Angeles-Camacho, C. (2005) FACTS: Modelling and Simulation in Power Network. John Wiley & Sons Ltd., Hoboken. https://doi.org/10.1002/0470020164
[4]
Cheukem, A. and Ngundam, J.M. (2009) Implementation of FACTS Devices in Electrical Power System for Available Transmission Capability Enhancement. International Journal of Numerical Methods and Applications, 1, 71-86.
[5]
Srinivas, M. and Patnaik, L.M. (1994) Genetic Algorithms: A Survey. Computer, 24, 17-26. https://doi.org/10.1109/2.294849
[6]
Gogom, M., Mimiesse, M., Nguimbi, G. and Lilonga-Boyenga, D. (2018) Improving Availability of Transit Capacity by the Hybrid Optimization Method. Journal of Scientific and Engineering Research, 5, 276-288.
[7]
Sabonnadière, J.-C. and Hadjsaïd, N. (2007) Lignes et réseaux électriques. Lavoisier.
[8]
Pal Barret, J., Bornard, P. and Mayer, B. (1997) Simulation des réseaux électriques. Editions EYROLLES.
[9]
PA Consulting Group (USAID) (2005) Première Etude du Schéma Directeur pour l’Afrique Centrale.
[10]
Direction Générale de l’Energie (2006) Schéma Directeur de Développement Industriel: Secteur Electricité. Ministère de l’Energie et de l’Hydraulique.
[11]
Conseil Mondial de l’Energie (CME) (2008) Rapport sur l’Atelier de Haut Niveau du CME sur le Financement des Projets Hydroélectriques INGA, Tenu à Londres, le 21-22 avril 2008.
[12]
Benras Med Amine, Larouisouleymane. Utilisation d’un dispositif STATCOM pour l’amélioration du transit de puissance d’un réseau de transport d’énergie alternatif, Mémoire de Master, 2015, Université KasdiMerbahOurgla, Algerie.
[13]
Salim, H., et al. (2009) The Use of FACTS Devices in Disturbed Power System Modelling, Interface, and Case Study. International Journal of Computer and Electrical Engineering, 1, 56-60. https://doi.org/10.7763/IJCEE.2009.V1.9
[14]
Hassan, H.A., Osman, Z.H. and El-Aziz Lasheen, A. (2014) Sizing of STATCOM to Enhance Voltage Stability of Power Systems for Normal and Contingency Cases. Smart Grid and Renewable Energy, 5, 8-18. https://doi.org/10.4236/sgre.2014.51002
[15]
Ilango, R. and Raja, S. (2016) Fault Location Method for STATCOM Connected Transmission Lines Using CCM. Circuits and Systems, 7, 3131-3141. https://doi.org/10.4236/cs.2016.710266