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Trivedi, I.N., Jangir, P., Kumar, A., Jangir, N. and Totlani, R. (2018) A Novel Hybrid PSO-WOA Algorithm for Global Numerical Functions Optimization. In: Bhatia, S., Mishra, K., Tiwari, S. and Singh, V., Eds., Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, Vol. 554, Springer, Singapore, 53-60.
https://doi.org/10.1007/978-981-10-3773-3_6

has been cited by the following article:

• TITLE: Allocation of Hybrid Distributed Generations and Energy Management in Radial Electrical Systems

  AUTHORS: Ngoussandou Bello Pierre, Nicodem Nisso, Benjamin Diboma, Jean De Dieu Nguimfack Ndongmo, Sadam Alphonse

  KEYWORDS: Power Losses, Hybrid System, Distributed Generations, Cost of Energy

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.13 No.11, November 25, 2022

  ABSTRACT: This paper presents a method for optimal sizing of a Micro grid connected to a hybrid source to ensure the continuity and quality of energy in a locality with a stochastically changing population. The hybrid system is composed of a solar photovoltaic system, a wind turbine, and an energy storage system. The reliability of the system is evaluated based on the voltage level regulation on IEEE 33-bus and IEEE 69-bus standards. Power factor correction is performed, despite some reliability and robustness constraints. This work focuses on energy management in a hybrid system considering climatic disturbances on the one hand, and on the other hand, this work evaluates the energy quality and the cost of energy. A combination of genetic algorithms of particle swarm optimization (CGAPSO) shows high convergence speed, which illustrates the robustness of the proposed system. The study of this system shows its feasibility and compliance with standards. The results obtained show a significant reduction in the total cost of production of this proposed system.