|2/2022 - 10|
Impact of Photovoltaic Systems Allocation on Congestion in Distribution Network: Iraq Case StudyBADR, H. M. , ALI, R. S. , MAHMOOD, J. R.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,568 KB) | Citation | Downloads: 322 | Views: 195|
distributed power generation, optimization methods, photovoltaic systems, power demand, voltage control
distribution(11), optimal(10), generation(10), power(9), photovoltaic(9), algorithm(9), solar(7), location(7), distributed(7), systems(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2022-05-31
Volume 22, Issue 2, Year 2022, On page(s): 79 - 86
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.02010
Web of Science Accession Number: 000810486800010
SCOPUS ID: 85131723748
As Photovoltaic Distributed Generation (PVDG) becomes increasingly popular in modern power systems, it has raised concerns for system operators, despite its remarkable and valuable opportunities, such as reduction in voltage deviation and active power loss. On another side, random distribution of PVDGs in the distribution network can lead to system security violations and congestion. Optimal allocation of PVDGs is one of the efficient methods to enhance the power systems' efficiency. This paper proposes a new version of the Modified Camel Algorithm (NMCA) based on the L technique to optimize PVDGs. The proposed technique can retain a good solution group for each generation due to the expansion in the search space. In order to verify the validity of the NMCA, it has been tested with IEEE 69- bus network and the Baghdad distribution network built a simulation model for the Baghdad distribution network. The simulation model has been created depending on its obtained load profiles, feeders, voltage, and current settings in addition to available PVDG stations in this grid to determine optimum allocation PVDGs in the network.
|References|||||Cited By «-- Click to see who has cited this paper|
| Z. A. Kamaruzzaman, A. Mohamed, and H. Shareef, "Effect of grid-connected photovoltaic systems on static and dynamic voltage stability with analysis techniques - A review," Przeglad Elektrotechniczny, pp. 134-138, 2015. |
[CrossRef] [SCOPUS Times Cited 14]
 M. Q. Duong, T. D. Pham, T. T. Nguyen, A. T. Doan, and H. V. Tran, "Determination of optimal location and sizing of solar photovoltaic distribution generation units in radial distribution systems," Energies, vol. 12, no. 1, 2019.
[CrossRef] [Web of Science Times Cited 63] [SCOPUS Times Cited 79]
 T. Wang, Y. Xiang, C. Li, D. Mi, Z. Wang, "An improved analytical methodology for joint distribution in probabilistic load flow," Advances in Electrical and Computer Engineering, vol.20, no.1, pp.49-56, 2020.
[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 2]
 X. Wu, X. Shen, J. Zhang, Y. Zhang, "A wind energy prediction scheme combining cauchy variation and reverse learning strategy," Advances in Electrical and Computer Engineering, vol. 21, no. 4, pp. 3-10, 2021.
[CrossRef] [Full Text] [SCOPUS Times Cited 3]
 S. Visalakshi and S. Baskar, "Covariance matrix adapted evolution strategy-based decentralised congestion management for multilateral transactions," IET Generation, Transmission & Distribution, vol. 4, no. 3, pp. 400-417
 W. Phuangpornpitak and K. Bhumkittipich, "Principle optimal placement and sizing of single distributed generation for power loss reduction using particle swarm optimization," Research Journal of Applied Sciences, Engineering and Technology, vol. 7, no. 6, pp. 1211-1216, 2014
 T. J. Sahib, M. R. Ab Ghani, Z. Jano, and I. H. Mohamed, "Optimum allocation of distributed generation using PSO: IEEE test case studies evaluation," International Journal of Applied Engineering Research, vol. 12, pp. 2900-2906, 2017
 H. Sadeghian, M. H. Athari, and Z. Wang, "Optimized solar photovoltaic generation in a real local distribution network,". 2017,
[CrossRef] [SCOPUS Times Cited 31]
 N. M. Saad et al., "Impacts of photovoltaic distributed generation location and size on distribution power system network," Int. J. Power Electron. Drive Syst. International Journal of Power Electronics and Drive Systems, vol. 9, no. 2, pp. 905-913, 2018.
 U. Raut and S. Mishra, "Enhanced Sine-Cosine algorithm for optimal planning of distribution network by incorporating network reconfiguration and distributed generation," Arabian Journal for Science and Engineering, vol. 46, 08/12, 2020
 A. Ymeri and S. Mujovic, "Optimal location and sizing of photovoltaic systems in order to reduce power losses and voltage drops in the distribution grid," International Review of Electrical Engineering (IREE), vol. 12, p. 498, 12/31, 2017.
[CrossRef] [SCOPUS Times Cited 13]
 S. O. Fadlallah and D. E. Benhadji Serradj, "Determination of the optimal solar photovoltaic system for Sudan," Solar Energy, vol. 208, pp. 800-813, 2020
 B. H. Dinh, T. T. Nguyen, T. T. Nguyen, and T. D. Pham, "Optimal location and size of photovoltaic systems in high voltage transmission power networks," Ain Shams Engineering Journal, vol. 12, no. 3, pp. 2839-2858
 I. Gasparovic and M. Gasparovic, "Determining optimal solar power plant locations based on remote sensing and GIS methods: A case study from Croatia," Remote Sensing, vol. 11, no. 12, 2019.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 28]
 M. Mokarram, M. J. Mokarram, M. R. Khosravi, A. Saber, and A. Rahideh, "Determination of the optimal location for constructing solar photovoltaic farms based on multi-criteria decision system and Dempster-Shafer theory," Scientific Reports, vol. 10, no. 1, p. 8200, 2020.
[CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 23]
 I. Mohammed Khalid and A. Ramzy Salim, "Novel optimization algorithm inspired by camel traveling behavior," Iraqi Journal for Electrical And Electronic Engineering, vol. 12, no. 2, pp. 167-177, 2016
 R. S. Ali, F. M. Alnahwi, and A. S. Abdullah, "A modified camel travelling behaviour algorithm for engineering applications," Australian Journal of Electrical and Electronics Engineering, vol. 16, no. 3, pp. 176-186, 2019.
[CrossRef] [SCOPUS Times Cited 9]
 N. Yusoff, A. Mohd Zin, and A. Khairuddin, Congestion management in power system: A review. pp. 22-27, 2017
 M. Q. Duong, T. D. Pham, T. T. Nguyen, A. T. Doan, and H. V. Tran, "Determination of optimal location and sizing of solar photovoltaic distribution generation units in radial distribution systems," Energies, vol. 12, no. 1, p. 174, 2019
 G. K. Stefopoulos, Fang Yang, G. J. Cokkinides and A. P. S. Meliopoulos, "Advanced contingency selection methodology," Proceedings of the 37th Annual North American Power Symposium, 2005, pp. 67-73,
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 21]
 J. C. Doyle. Feedback Control Theory. Macmillman, pp. 11-23, 2013
 A. Wazir and N. Arbab, "Analysis and optimisation of IEEE 33 Bus radial distributed system using optimisation algorithm," 2016
 T. D. Pham, T. T. Nguyen, and B. H. Dinh, "Find optimal capacity and location of distributed generation units in radial distribution networks by using enhanced coyote optimisation algorithm," Neural Computing and Applications, vol. 33, no. 9, pp. 4343-4371, 2021.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 15]
 M. M. Aman, G. B. Jasmon, A. H. A. Bakar, and H. Mokhlis, "A new approach for optimum simultaneous multi-DG distributed generation units placement and sizing based on maximization of system loadability using HPSO algorithm," Energy, vol. 66, pp. 202-215, 2014.
[CrossRef] [Web of Science Times Cited 184] [SCOPUS Times Cited 228]
 N. D. Vanli, M. Gurbuzbalaban, and A. Ozdaglar, "Global convergence rate of proximal incremental aggregated gradient methods," SIAM Journal on Optimization, vol. 28, no. 2, pp. 1282-1300, 2018
 A. H. Gandomi, "Interior search algorithm (ISA): A novel approach for global optimisation," ISA Transactions, vol. 53, no. 4, pp. 1168-1183, 2014/07/01/ 2014.
[CrossRef] [Web of Science Times Cited 267] [SCOPUS Times Cited 301]
 R. Ibrahim, A. Ewees, D. Oliva, M. Elsayed Abd Elaziz, and S. Lu, "Improved salp swarm algorithm based on particle swarm optimization for feature selection," Journal of Ambient Intelligence and Humanized Computing, vol. 10, 08/01, 2019.
[CrossRef] [Web of Science Times Cited 147] [SCOPUS Times Cited 173]
 I. A. Zamfirache, R.-E. Precup, R.-C. Roman, and E. M. Petriu, "Policy iteration reinforcement learning-based control using a Grey Wolf optimizer algorithm," Information Sciences, vol. 585, pp. 162-175, 2022.
Web of Science® Citations for all references: 731 TCR
SCOPUS® Citations for all references: 940 TCR
Web of Science® Average Citations per reference: 25 ACR
SCOPUS® Average Citations per reference: 32 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2022-09-26 03:08 in 103 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.