scholarly journals OPTIMASI PENEMPATAN DISTRIBUTED GENERATION PADA PENYULANG GOA LAWAH MENGGUNAKAN METODE PARTICLE SWARM OPTIMIZATION (PSO)

2018 ◽  
Vol 5 (2) ◽  
pp. 74
Author(s):  
I Made Bagas Sastra Negara ◽  
Ngakan Putu Satriya Utama ◽  
Cok Gede Indra Partha
Keyword(s):  
Particle Swarm Optimization ◽  
Power Plant ◽  
Distributed Generation ◽  
Power Loss ◽  
Particle Swarm ◽  
Small Scale ◽  
Swarm Optimization ◽  
Hydro Power ◽  
Distributed Generation Placement

Distributed Generation (DG) is a small-scale power plant located close to the center of load. Goa Lawah feeder is a broadcast that is close to the potential of DG namely the Mini Hydro Power Plant on the Unda River in Klungkung Regency. In this research the optimization of Distributed Generation placement to Goa Lawah feeder. Optimization of Distributed Generation placement aims to reduce the value of loss of power that exist in the feeder Goa Lawah. The results of the research obtained at the point of bus 123 by Distributed Generation placement using Particle Swarm Optimization (PSO) method, with power loss 41 kW (44%). The initial loss before the Distributed Generation interconnection of 72 kW after the Distributed Generation interconnection to 31 kW.

Power Factor Optimization of Distributed Generations in Distribution Networks Based on Improved Particle Swarm Optimization Method

2012 ◽  
Vol 516-517 ◽  
pp. 1408-1413 ◽  
Author(s):  
Cheng Xi Li ◽  
Wen Jun Yan ◽  
Qiang Yang
Keyword(s):  
Particle Swarm Optimization ◽  
Power Factor ◽  
Power Distribution ◽  
Power Loss ◽  
Particle Swarm ◽  
Distribution Networks ◽  
Optimization Method ◽  
Small Scale ◽  
Swarm Optimization ◽  
Power Utilities

The gradually extensive penetration of small-scale distributed renewable generators in existing medium-voltage power distribution networks highlights many technical challenges which call for urgent solutions from power utilities. This paper attempts to optimize the power factor of distributed generators (DGs) integrated in distribution networks and presents a novel algorithmic solution. With the aim of minimizing power loss whilst maintaining the node voltage, the problem is formulated with a mathematical model elaborating the DGs and a set of constraints in distribution networks and addressed through adopting an extended particle swarm optimization (PSO) approach. The suggested algorithm is assessed through numerical simulation experiments with the IEEE 33-bus system and the outcome shows that the optimization algorithm can effectively reduce the power loss and promote the node voltages across the overall distribution network.

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