Reduction of Active and Reactive Power Losses of Three-Phase Distribution Networks Using Adaptive Particle Swarm Optimization

Abstract

Abstract. This paper uses adaptive particle swarm optimization (APSO) to minimize the power losses of radial balanced and unbalanced three-phase distribution systems. A Matlab program is used to solve two distribution systems using backward/forward sweep (BFS) method. The first is the balanced three-phase 12-bus system and the second is the unbalanced three-phase IEEE 37-bus system. Three scenarios are adopted for adding a distribution generation (DG) at specified nodes. In the first scenario, the DG is assumed to generate only reactive power representing capacitor banks or kVar compensators, while in the second scenario the DG generates active power and in the third scenario the DG generates both active and reactive power representing cogenerations. The APSO algorithm determines the required amount of reactive and/or active power to minimize the total losses of the radial distribution systems. The obtained results prove the effectiveness of the APSO for DG allocation and enhancing the distribution power system performance in terms of reducing the losses, regulating the bus voltages and increasing the system stability.

Keywords:

PSO Backward/forward load flow DG allocation Distribution systems

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Eid, A. . (2019). Reduction of Active and Reactive Power Losses of Three-Phase Distribution Networks Using Adaptive Particle Swarm Optimization. JOURNAL OF ENGINEERING AND COMPUTER SCIENCES, 12(1), 73–90. Retrieved from https://jecs.qu.edu.sa/index.php/jec/article/view/2160
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