Optimal Placement and Sizing of Distributed Generation Units Using Co-Evolutionary Particle Swarm Optimization Algorithms

Alireza Kaviani-Arani

Abstract


Today, with the increase of distributed generation sources in power systems, it’s important to optimal location of these sources. Determine the number, location, size and type of distributed generation (DG) on Power Systems, causes the reducing losses and improving reliability of the system. In this paper is used Co-evolutionary particle swarm optimization algorithm (CPSO) to determine the optimal values of the listed parameters. Obtained results through simulations are done in MATLAB software is presented in the form of figure and table in this paper. These tables and figures, show how to changes the system losses and improving reliability by changing parameters such as location, size, number and type of DG. Finally, the results of this method are compared with the results of the Genetic algorithm (GA) method, to determine the performance of each of these methods.

 

DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.7026 


Keywords


Optimal Size and Location, Distributed Generation (DG), Co-evolutionary Particle Swarm Optimization (CPSO), System Losses.

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

shopify stats IJEECS visitor statistics