Power Loss Reduction in Distribution System Via ETAP Analysis and PSO Algorithm
Keywords:
ETAP software, distributed generation, power systemAbstract
This paper proposes a power flow optimization method for distribution networks using the Particle Swarm Optimization (PSO) algorithm. The primary objective is to determine the optimal placement and sizing of distributed generation (DG) units to minimize active power losses and improve voltage profiles across the system. The IEEE 33-bus test system is simulated in MATLAB/Simulink, and the results are compared with conventional load flow analysis conducted in ETAP software. The PSO-based approach demonstrates superior performance in reducing total power losses and enhancing voltage stability, while also achieving faster computational time. These results highlight PSO as a promising tool for planning and operating modern power distribution systems. Furthermore, the paper discusses the advantages, limitations, and practical applicability of the algorithm in real-world power systems.
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