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Optimization of the Location and Sizing of Distributed Generation Power Plants in Distribution Energy Networks Using Lanternfish Optimization Algorithm

Tareq HamadnehDepartment of Mathematics , Al Zaytoonah University of Jordan , Amman 11733 , JordanIbraheem Abu FalahahM. Al SoudiDepartment of Basic Scientific Sciences , Applied Science Private University , Amman 11931 , JordanAseel SmeratHourani Center for Applied Scientific Research , Al-Ahliyya Amman University , Amman 19328 , JordanMirjalol IsmoilovDepartment of Transport systems , Urgench State University named after Abu Rayhan Biruni , Urgench , 14 , Kh.Alimdjan str , Urgench city , 220100 , UzbekistanZeinab MontazeriDepartment of Electrical and Electronics Engineering , Shiraz University of Technology , Shiraz 7155713876 , IranMohammad DehghaniDepartment of Electrical and Electronics Engineering , Shiraz University of Technology , Shiraz 7155713876 , IranO.P. MalikDepartment of Electrical and Software Engineering , University of Calgary , Calgary , AB T2N 1N4 , CanadaKei EguchiDepartment of Information Electronics , Fukuoka Institute of Technology , Japan

2026

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Litsenziya: cc-by-sa

ABI

Annotatsiya

Connecting distributed generation plants to distribution networks is recognized as one of the key solutions in improving the quality of energy network operation, because these resources can reduce power losses, improve voltage profiles, and increase operational stability; however, realizing these benefits requires that distributed generation units be installed in optimal locations and with appropriate capacities in the network, an issue that is posed as a nonlinear and multi-constraint optimization problem.In this study, a novel Lanternfish Optimization Algorithm (LOA) is proposed and applied to solve the problem of optimal placement and sizing of DGs.For this purpose, the mathematical model of the problem including load distribution equations, loss calculation relations, multi-criteria objective function, and voltage and operational constraints is extracted and formulated, and then the theory and mathematical mechanism of LOA are explained to search the solution space of the problem.The efficiency of the algorithm is evaluated on the IEEE 33-Bus standard network in four operating scenarios including base case, 2, 3 and 4 DG unit connection.The simulation results show that in the 4 DG connection scenario, the active power losses are reduced from 210.67 to 41.68 kW and the reactive losses are reduced from 142.84 to 29.30 kW, which represents an improvement of 80.2 and 79.5%, respectively.Also, the minimum network voltage is increased from 0.9037 to 0.9785 per unit and the voltage deviation index is reduced from 1.8036 to 0.3774, indicating a significant improvement in voltage stability.Visual analyses of the voltage profile and loss distribution also confirm this improvement and overall, it is shown that LOA is an efficient and reliable tool for optimizing the placement and sizing of distributed generation resources in distribution networks.

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DOI: 10.22266/ijies2026.0430.20

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