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Спутники
РН
SpaceX
Роскосмос
NASA
СпутникиРНSpaceXРоскосмосNASAPublication date: 30 September 2026
Source: Advanced Engineering Forum Vol. 60
Author(s): Hassane Ousseyni Ibrahim, Abdoul Malik Maman Issaka, Arouna Oloulade, Moussa Gonda, Francois Xavier Fifatin
This study presents a coordinated optimization methodology for the simultaneous placement and sizing of photovoltaic (PV) generators and static var compensators (SVC) in radial distribution networks. The objective is to address the challenges of intermittency and voltage profile degradation in regions with high solar radiation, such as the Maradi network in Niger. Using the NSGA-II (non-dominated sorting genetic algorithm), the problem is formulated as a bi-objective optimization aimed at minimizing active losses and voltage deviation. The results obtained on the real 123-node Maradi network demonstrate exceptional performance: a reduction in active and reactive losses of 77.89 % and 78.22 %, respectively. The minimum voltage of the network increased from 0.8917 p.u. to 0.9553 p.u., while voltage deviation was reduced to its absolute minimum of 0.0454 p.u. This approach far surpasses conventional methods of placing single DERs (Distributed Energy Resources), confirming that the synergy between active power injection (PV) and reactive compensation (SVC) is essential for the modernization and efficiency of electrical infrastructure in the Sahel.
[1] A. H. SOMBORO, D. COULIBALY, et M. GUINDO, « Impact de l'injection de la production de la centrale solaire photovoltaïque de 33 MWc sur le réseau interconnecté du Mali en fonctionnement statique », Afr. Sci., vol. 22, no 2, p.58‑73, janv. 2023, doi: 22(2)%20(2023)%2058%20-%2073.
[2] G. Maliki, A. Binkou, K. Sidibe, et D. Goulibaly, « Analyse des impacts d'une pénétration accrue des réseaux Electriques par les Générateurs Photovoltaïques », Maghrebian J. Pure Appl. Sci., vol. 8, no 2, p.111‑121, nov. 2022.
[3] M. Eremia, C. Liu, et A. Edris, Éd., Advanced Solutions in Power Systems: HVDC, FACTS, and Artificial Intelligence: HVDC, FACTS, and Artificial Intelligence, 1re éd. Wiley, 2016.
[4] S. Nagaballi et V. S. Kale, « Application of Metaheuristic Algorithms for Optimal Allocation of DGs in Radial Distribution System », Int. J. Eng. Res. Comput. Sci. Eng., vol. Vol 5, no 2, p.485‑490, févr. 2018.
[5] M. Duong, T. Pham, T. Nguyen, A. Doan, et H. Tran, « Determination of Optimal Location and Sizing of Solar Photovoltaic Distribution Generation Units in Radial Distribution Systems », Energies, vol. 12, no 1, p.174, janv. 2019.
DOI: 10.3390/en12010174
[6] M. R. Zaidan, G. T. Hasan, M. Bajaj, et S. I. Toos, « Improving voltage collapse point under transmission line outage by optimal placement and sizing of SVC using genetic algorithm », Int. J. Appl. Power Eng. IJAPE, vol. 13, no 1, p.213, mars 2024.
[7] P. Muthukumar, M. V. Ramesh, P. V. K. Babu, P. Rohinikumar, et S. V. Satyanarayana, « Optimal Integration of Multiple D-SVCs for Voltage Stability Enhancement in Radial Electrical Distribution System Using Adaptive Firefly Algorithm », Int. J. Intell. Eng. Syst., vol. 16, no 3, p.378‑387, juin 2023.
[8] O. Arouna et al., « Technico-economic optimization of Distributed Generation (DG) and Static Var Compensator (SVC) positioning in a real radial distribution network using the NSGA-II genetic algorithm », in 2019 IEEE PES/IAS PowerAfrica, IEEE, 2019, p.42‑47. Consulté le: 14 juillet 2025. [En ligne]. Disponible sur: https://ieeexplore.ieee.org/abstract/document/8928631/.
[9] K. P. Patel, N. A. Patel, J. P. Chaudhari, et H. K. Mewada, « Optimal placement of DSTATCOMs and PID tuned controller in IEEE bus system for enhanced voltage stability and power loss reduction under RES integration using hybrid BWO-SSA algorithm », Results Eng., vol. 28, p.108216, déc. 2025.
[10] S. Verma, M. Pant, et V. Snasel, « A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems », IEEE Access, vol. 9, p.57757‑57791, mars 2021.
[11] K. Deb, A. Pratap, S. Agarwal, et T. Meyarivan, « A fast and elitist multiobjective genetic algorithm: NSGA-II », IEEE Trans. Evol. Comput., vol. 6, no 2, p.182‑197, avr. 2002.
DOI: 10.1109/4235.996017
[12] O. A. Robert, « Optimisation du positionnement simultané de Générateurs d'Energie Décentralisée (GED) et de Compensateurs Statiques de Puissance Réactive (SVC) dans un réseau de distribution par l'algorithme génétique NSGA II: application au départ Calavi ». UAC-EPAC, 2019.
DOI: 10.51257/a-v1-d4315
[13] J.-H. Teng, « A direct approach for distribution system load flow solutions », IEEE Trans. Power Deliv., vol. 18, no 3, p.882‑887, juill. 2003.
[14] B. V. Krishna et N. P. Srinivasu, « A Direct Approach Method for Distribution System Load Flow Solutions », Int. J. Eng. Adv. Technol. IJEAT, vol. 8, no 6s3, p.749‑753, nov. 2019.
[15] A. Manjula et G. Yesuratnam, « Optimal allocation of PV units using metaheuristic optimization considering PEVs charging demand », Int. J. Appl. Power Eng. IJAPE, vol. 14, no 2, p.282‑290, juin 2025.
[16] A. Oloulade, M. I. Adolphe, A. Vianou, et H. A. V. Tamadaho, « Optimization of the number, size and placement of D-STATCOM in radial distribution network using Ant Colony Algorithm », Am. J. Eng. Res. Rev., vol. 1, p.12, oct. 2018.
[17] H. Ousseyni Ibrahim, F.-X. Fifatin, A. Oloulade, A. Moukengue Imano, et A. Cokou Vianou, « DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm », Am. J. Electr. Power Energy Syst., vol. 11, no 2, p.23, 2022.