Abstract

The increase in electricity demands has increased the dimension and loading of today radial distribution feeders, which in turn would result in more losses and voltage drops. Such issues together with the demand for higher power quality has raised a need for modern power system management techniques such as using power electronic devices. Among, DSTATCOM is introduced as an effective solution for reactive power control in power distribution level. To make a better use of DSTATCOM in improving the network power quality, it should be sized and placed in accordance with parallel capacitors. A multi-objective optimization method is proposed in this paper to find the optimal location and size of DSTATCOM and parallel capacitors simultaneously. The cost of power losses, voltage profile and voltage stability are selected as objectives to be improved. The obtained results on the IEEE 33-node test system indicate that the proposed method satisfies the defined objectives and considerably improves the network operational characteristics.

Highlights

  • The increased demand for electricity has increased the loading and the size of today distribution networks

  • The method proposed in [3] considers the reduction in power losses and line currents together with the voltage profile as the objective function and use an immune algorithm to search for the optimal DSTATCOM placement

  • The problem of simultaneous optimal placement and sizing of DSTATCOM and parallel capacitors is of considerable importance, considering their ability in improving the networks performance

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Summary

INTRODUCTION

The increased demand for electricity has increased the loading and the size of today distribution networks. The method proposed in [3] considers the reduction in power losses and line currents together with the voltage profile as the objective function and use an immune algorithm to search for the optimal DSTATCOM placement. The Firefly algorithm is employed in [9] to find the optimal location of DSTATCOM to decrease power losses and harmonic distortions and to improve voltage levels. Despite the various previous research works performed for optimal placement of DSTATCOM, none of these studies consider the simultaneous optimal placement and sizing of DSTATCOM and parallel capacitors in distribution networks [15]. Optimal placement and sizing of DSTTCOM in accordance with parallel capacitors, considerably influences its success in improving the network power quality. Our studies show that the simultaneous placement and sizing of capacitors and DSTATCOM can considerably improve the considered objective functions. A MOPSO (Multi-Objective Particle Swarm Optimization) is employed to solve the problem and the tests performed on the IEEE 33-node test system verify the effectiveness of the proposed method

PROBLEM FORMULATION
DSTATCOM constraints The considered constraints for DSTATCOM are as follows
CONCLUSIONS
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