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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Particle Swarm Optimization Approach for Distributed Generation Planning to Improve the Voltage Profile Margin

Particle Swarm Optimization Approach for Distributed Generation Planning to Improve the Voltage Profile Margin

Singh, Ajay

Paperback

Technology & Engineering

ISBN10: 3668551014
ISBN13: 9783668551015
Publisher: Grin Verlag
Published: Oct 20 2017
Pages: 140
Weight: 0.42
Height: 0.33 Width: 5.83 Depth: 8.27
Language: English
Master's Thesis from the year 2017 in the subject Engineering - Mechanical Engineering, grade: 4.00, Kathmandu University (School of Engineering), course: Planning and Operation of Energy System, language: English, abstract: In power system, research area is widening and one is Distributed Generation (DG) integration in a distribution system. It restructures the power system and also helps in distribution system planning. This dissertation addresses the issue of voltage margin improvement by integrating DG unit and, therefore, this dissertation presents the model to enhance the candidate bus voltage of distribution system by optimal integration of DG units. The technical analysis is performed for radial distribution system (RDS). The proposed algorithm evaluates the base condition of loss and bus voltage and then generate populations of solutions at first stage. Optimization of DG unit size and locate the optimal bus can be done with the particle swarm optimization (PSO) method. The proposed paradigm works with the objective that minimize the active power loss under a constraint of voltage limit and DG size limit. Finally, the conclusion is that DG unit can locate optimally with optimized size to the distribution system for the voltage profile improvement of the buses and also the total loss of system is reduced. It is also concluded that the model can be used for any radial distribution systems.

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