تعيين اندازه بهينه توليدات پراكنده با هدف كاهش تلفات شبكه با استفاده از مطالعات شبه ديناميكي ساليانه

In this research, the necessity an‎d importance of integrating distributed generation (DG) units into power systems are investigated. Due to the continuous growth in electrical energy deman‎d, limitations in the expansion of large-scale power networks, an‎d increasing technical an‎d environmental considerations, the utilization of distributed generation resources has emerged as an effective solution for improving the performance of transmission an‎d distribution networks. Despite advantages such as voltage profile improvement, power loss reduction, enhanced reliability, an‎d decreased loading of the main grid, improper integration of DG units—particularly with non-optimal sizing—can lead to increased losses, reduced stability, an‎d operational challenges in power systems. Therefore, determining the optimal capacity of distributed generation units is considered a critical issue in power system studies. In this study, an optimization approach based on the combination of a Genetic Algorithm (GA) an‎d quasi-dynamic simulation is proposed to determine the optimal sizing of distributed generation units with the objective of minimizing network power losses. The Genetic Algorithm is implemented in the MATLAB environment, while network behavior is analyzed using quasi-dynamic simulations in DIgSILENT PowerFactory. To improve the accuracy an‎d reliability of the results, network performance is eva‎luated over all hours of the year, an‎d operational constraints of the power system are incorporated into the optimization process. The IEEE 39-bus test system is selec‎ted as the study network, in which both renewable an‎d non-renewable distributed generation units are considered. Simulation results demonstrate that the proposed method significantly reduces network power losses compared to the base case without distributed generation units, indicating that the proposed approach can be effectively employed for optimal planning an‎d operation of power systems

امير حسيني , حميدرضا عبدالمحمدي

احسان آزاد فارساني , علي اصغر حقيقي