Optimal Placement and Size of Distributed Generators Based on Autoadd and PSO to Improve Voltage Profile and Minimize Power Losses | ||
| Engineering and Technology Journal | ||
| Article 10, Volume 39, 3A, March 2021, Pages 453-464 PDF (1.09 M) | ||
| DOI: 10.30684/etj.v39i3A.1781 | ||
| Authors | ||
| Mustafa R. Nasser* 1; Inaam I. Ali2; Mohammed H. Alkhafaji3 | ||
| 1Electrical Engineering Department, University of Technology, Baghdad, Iraq. 316210@student.uotechnology.edu.iq | ||
| 2Electrical Engineering Department, University of Technology, Baghdad, Iraq. Inaam.i.ali@uotechnology.edu.iq | ||
| 3Electrical Engineering Department, University of Technology, Baghdad, Iraq. 30072@uotechnology.edu.iq | ||
| Abstract | ||
| This work aims to improve the voltage profile and reduce electrical network losses through optimal planning of distributed generators. A new search algorithm (Autoadd) along with the (PSO) are introduced to choose the best location and size for distributed generators. Two systems are implemented; a 33-bus test network and a 30-bus of a local community in the city of Al- Diwaniyah. At the power flow, a solution is implemented using a fixed-point iteration method within an OpenDSS environment to check the performance of both networks. Moreover, the optimal location and size of the distributed generators are determined using Autoadd and PSO methods. The Autoadd method is implemented within the OpenDSS environment, while the (PSO) method is implemented within the MATLAB-OpenDSS environment through the com-interface. The validity and effectiveness of the proposed methods are validated by comparison with the published researches. The results have proven that the fixed-point method has achieved high efficiency and accuracy in terms of analyzing the power flow, whereas the (Autoadd) algorithm has achieved a better effect in terms of improving the voltage profile and minimizing losses | ||
| Keywords | ||
| Loss minimization; optimal placement; Autoadd; PSO; DG integration | ||
|
Statistics Article View: 324 PDF Download: 425 |
||