Development and Application of a Leader Tasmanian Devil Optimizer for Solving the Optimal Reactive Power Dispatch Problem in Power Systems

Document Type : Original papers

Authors

1 Aswan University

2 Ministry of Electricity and Renewable Energy

Abstract

The electric energy systems comprise the following three primary phases: generation, transmission, and distribution. During the transmission of generated power, losses occur, and this is considered a major issue in any power system. To meet the continuous demand for electricity, power systems need to be efficient and economical while maintaining stability. Solving the issue of the optimal reactive power dispatch (ORPD) problem can help achieve these goals. In this paper, the Leader Tasmanian Devil Optimization (LTDO) algorithm is proposed to address the ORPD problem and find the optimal solution. The objective functions of minimizing power loss and voltage deviation are implemented into the IEEE 30-bus and IEEE 57-bus tested power systems. The optimal control variables, such as generator voltages, reactive power compensation, and transformer tapings, are determined to achieve these goals. Comparisons are made between the outcomes of the suggested LTDO algorithm and other algorithms, such as the gradient-based optimizer (GBO), the equilibrium optimizer (EO), and the Tasmanian Devil Optimization (TDO) algorithm. Furthermore, the performance of the proposed LTDO algorithm is compared with the results of other well-known techniques studied in recent papers. The results show that the proposed LTDO algorithm outperforms the other algorithms in terms of accuracy, convergence rate, and system stability. Therefore, the proposed LTDO algorithm deserves more attention as a potential solution for ORPD problems in the power system.

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Aswan University Journal of Sciences and Technology
Volume 5, Issue 3
September 2025
Pages 116-140

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