Volume 14, Issue 2 (June 2018)                   IJEEE 2018, 14(2): 178-187 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Esmaeilzadeh M, Ahmadi I, Ramezani N. Optimal Distributed Generation Planning in Radial Distribution Networks Considering Protection Coordination Limits. IJEEE 2018; 14 (2) :178-187
URL: http://ijeee.iust.ac.ir/article-1-1157-en.html
Optimal Distributed Generation Planning in Radial Distribution Networks Considering Protection Coordination Limits
M. Esmaeilzadeh , I. Ahmadi , N. Ramezani
Abstract:   (4600 Views)
Distributed generation (DG) has been widely used in distribution network to reduce the energy losses, improve voltage profile and system reliability, etc.  The location and capacity of DG units can influence on probability of protection mal-operation in distribution networks. In this paper, a novel model for DG planning is proposed to find the optimum DG location and sizing in radial distribution networks. The main purpose of the suggested model is to minimize the total cost including DG investment and operation costs. The operation costs include the cost of energy loss, the cost of protection coordination and also the mal-operation cost. The proposed DG planning model is implemented in MATLAB programming environment integrated with DIgSILENT software. The simulation results conducted on the standard 38-bus radial distribution network confirm the necessity of incorporating the protection coordination limits in the DG planning problem. Additionally, a sensitivity analysis has been carried out to illustrate the significance of considering these limits.
Keywords: Distributed Generation , Optimal Placement and Sizing , Protection System Coordination , Radial Distribution System
Full-Text [PDF 715 kb]   (2095 Downloads)    
Type of Study: Research Paper | Subject: Power Systems Planning
Received: 2017/08/30 | Revised: 2018/06/17 | Accepted: 2017/12/30
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.