Abstract: Globally, energy utilities are increasingly focusing on advancing the control, management, stability, and optimization of energy systems. Traditional methodologies, plagued by inefficiencies, high costs, and unreliability, have proved inadequate. This shortcoming is particularly evident as the electricity structure shifts from a vertically integrated model to a horizontally integrated one. This shift facilitates the integration of technologies such as distributed generation and renewable energies, including wind, solar photovoltaics, and small hydro, into the distribution network, thereby introducing new challenges to existing software in terms of stability, economic.....
Key Word: Genetic Algorithm, Optimal Location, Distributed, Generation, Voltage Stability, Enhancement
[1] J. Pepermans, D. Driesen, R. Haeseldonckx, Belmans, and W. D‘haeseleer. “Distributed generation: definition, benefits and issues,”
Energy policy, pp.787-798, 2005.
[2] J. Momoh, G. Boswell. “Improving power Grid Efficiency using distributed generation,” Proceedings of the 7th international
conference on power system operation and planning, pp.11- 17, 2007.
[3] S. Ebigenibo. “Nigerian Power Sector: A New Structure required for effective and adequate Power Generation, Transmission and
Distribution,” Global Journal of Engineering and Technology Advances, vol. 7, no. 1, pp. 006-018, 2021
[4] R. Jordan, J. Miroljub, K. Dardan, A. Nebojša. “Optimal Power Flow for Distribution Networks with Distributed Generation,” Serbian Journal of Electrical Engineering, vol. 12, no. 2, pp. 145-170, 2015.
[5] G. Ajayi, P. Olulope, J. Dada. (2021) MIGRATION INTO SMART GRID STRUCTURE: “Optimal Power Performance Evaluation a Case Study of Basiri Distribution Network in Ado Ekiti, Nigeria,” International Journal of Engineering and Applied Science, vol. 8, no. 5, pp. 010-019, 2021..
