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Swarm Intelligence based Distribution Load Flow Method for Distributed Generation Planning


Affiliations
1 Department of Electrical Engineering, IIT Kanpur, Kanpur - 208 016, India
     

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This paper presents a new swarm intelligence method of distribution load fl ow (DLF) suitable for systems with distributed generators. The proposed DLF method is able to incorporate all kind of voltage dependent load models. This load fl ow method avoids the problems faced by various methods in handling multiple PV buses and is also suitable for small-scale, medium-scale and large-scale distribution systems. The proposed DLF method is used for placing multiple fi xed standard size capacitors. The optimal sitting and sizing of multiple DGs are also carried out utilizing a system loss reduction criterion. The proposed load fl ow algorithm is tested on distribution systems with fi xed standard size capacitor and/or DG for various load models to show its effectiveness. Some existing DG planning results are compared to show the capability and the accuracy of the proposed algorithm.

Keywords

Capacitor, Distributed Generation, Distribution System, Load Flow and Particle Swarm Optimization
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  • Swarm Intelligence based Distribution Load Flow Method for Distributed Generation Planning

Abstract Views: 192  |  PDF Views: 0

Authors

Naveen Jain
Department of Electrical Engineering, IIT Kanpur, Kanpur - 208 016, India
Singh S. N.
Department of Electrical Engineering, IIT Kanpur, Kanpur - 208 016, India
Srivastava S. C.
Department of Electrical Engineering, IIT Kanpur, Kanpur - 208 016, India

Abstract


This paper presents a new swarm intelligence method of distribution load fl ow (DLF) suitable for systems with distributed generators. The proposed DLF method is able to incorporate all kind of voltage dependent load models. This load fl ow method avoids the problems faced by various methods in handling multiple PV buses and is also suitable for small-scale, medium-scale and large-scale distribution systems. The proposed DLF method is used for placing multiple fi xed standard size capacitors. The optimal sitting and sizing of multiple DGs are also carried out utilizing a system loss reduction criterion. The proposed load fl ow algorithm is tested on distribution systems with fi xed standard size capacitor and/or DG for various load models to show its effectiveness. Some existing DG planning results are compared to show the capability and the accuracy of the proposed algorithm.

Keywords


Capacitor, Distributed Generation, Distribution System, Load Flow and Particle Swarm Optimization



DOI: https://doi.org/10.33686/prj.v9i1.189587