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Loadability Improvement in Distribution Network using DG Units by Application of Biogeography Based Optimization Algorithm Considering Cable Aging Constraint


Hossein Karami, Seyed-Alireza Ahmadi, Gevork B. Gharehpetian, Vahid Vahidinasab

2016/5/20

Abstract

Erosion of equipment in power systems mainly cable aging play an important role in reliability of power system, especially in distribution network. Cable aging mostly happens due to metallic structure of power equipment such as cable sheathing erosion. Decreasing reliability of the system and higher risk of failure are some results of cable aging. One of the best way to mitigate the impact of this issue, is reduction of cable current flow by installing Distributed Generations (DGs) in power system. In this paper Biogeography Based Optimization (BBO) algorithm is used to improve voltage profile of the network considering cable aging constraint by optimal siting and sizing of DGs. The IEEE 33-bus standard network is used as the test system and load flow calculations are carried out by Backward/Forward sweep in this work. Three scenarios are investigated and the BBO algorithm is run in 500 iterations for each scenario. The results show the suitability of BBO for this problem in aspect of convergence and finding global optimum value.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ),Vol. 1, Nº. 14
Pages:620-624 Date of Publication: 2016/5/20
ISSN: 2172-038X Date of Current Version:2016/5/4
REF:411-16 Issue Date: May 2016
DOI:10.24084/repqj14.411 Publisher: EA4EPQ

Authors and affiliations

Hossein Karami(1), Seyed-Alireza Ahmadi(2), Gevork B. Gharehpetian(1), Vahid Vahidi-Nasab(2)
1. Departement of Electrical Engineering, Amirkabir University of Technology. Tehran. Iran
2. Department of Electrical Engineering, Shahid Beheshti University, Tehran. Iran

Key words

Cable aging, Loadability, DG, optimal siting and sizing, Biogeography Based Optimization (BBO) algorithm

References

[1] Li, Wenyuan, Ebrahim Vaahedi, and Paul Choudhury. "Power system equipment aging." Power and Energy Magazine, IEEE Vol.4, Issue 3, pp. 52-58, 2006.
[2] Lyle, R.; “Effect of testing parameters on the outcome of the accelerated cable life test”, Power Delivery, IEEE Transactions on, vol. 3, pp. 434-439, 1988.
[3] H. Karami, M.J. Sanjari, A. Tavakoli, G.B. Gharehpetian, “HSABased Optimal Allocation of DGs Considering Cable Aging Constraint”, 2nd International Conferences on Renewable Energy and Distributited Generated (ICREDG), Tehran, Iran, 06-08 March, 2012.
[4] Seyed-Alireza Ahmadi, H. Karami, M. J. Sanjari, B. Zaker and G. B. Gharehpetian, "Cable Aging and Loadability Consideration in HSABased DG Placement", 7th Iranian Conference on Electrical Electronics and Engineering (ICEEE 2015), Gonabad, Iran, Aug. 19-20, 2015.
[5] H. Karami, Seyed-Alireza Ahmadi, M. J. Sanjari, B. Zaker and G. B. Gharehpetian, "Optimal DSTATCOM Placement by Considering Cable Aging Constraint and Voltage Profile Improvement", 7th Iranian Conference on Electrical Electronics and Engineering (ICEEE 2015), Gonabad, Iran, Aug. 19-20, 2015
[6] H. Karami, M.J. Sanjari, A. Tavakoli, G.B. Gharehpetian, M.S.A. Hejazi, "HSA-Based Optimal Allocation and Sizing of Shunt Compensators Considering Cable Aging Constraint and Load Variations", International Conference on Renewable Energies and Power Quality, Cordoba (Spain), 8th to 10th April, 2014.
[7] H. Karami, M.J. Sanjari, S.H. Hosseinian, G.B. Gharehpetian, "An Optimal Dispatch Algorithm for Managing Residential Distributed Energy Resources", IEEE Transaction on Smart Grid, Vol. , Issue: 5, pp. 2360-2367, 2014.
[8] H. Karami, M. J. Sanjari, G. B. Gharehpetian, “Hyper-Spherical Search (HSS) Algorithm: A Novel Meta-heuristic Algorithm to Optimize Nonlinear Functions”, Neural Computing and Applications, Vol. 25, issue: 6, pp. 1455-1465, 2014.
[9] A. Tavakoli, M.J. Sanjari, H. Karami, S.H. Hosseinian, G.B. Gharehpetian, "ICA-Based Unit Commitment Considering Risk of Cascading Blackout", has been accepted in Electric Power Components and Systems, DOI: 10.1080/15325008.2014.963261.
[10] H. Karami, M. J. Sanjari, Sajjad Hadavi, S. H. Hosseinian, G. B. Gharehpetian, "Stochastic Load Effect on Home Energy System Scheduling Optimization", has been accepted in European Transaction on Electrical Power. DOI: 10.1002/etep.1970.
[11] H. Karami, M. J. Sanjari, A. Tavakoli and G. B. Gharehpetian, “Optimal Scheduling of Residential Energy System Including CHP System and Storage Device”, Electric Power Components and Systems, Volume 41, Issue 8, April 2013, pages 765-780.
[12] M.J. Sanjaria, H. Karami, A.H. Yatim, G.B. Gharehpetian, "Application of Hyper-Spherical Search algorithm for optimal energyresources dispatch in residential microgrids", Applied Soft Computing, Vol. 37, pp. 15–23, 2015.
[13] Aman, M. M., et al. "Optimum network reconfiguration based on maximization of system loadability using continuation power flow theorem." International Journal of Electrical Power & Energy Systems 54 (2014): 123-133.
[14] Dan Simon. "Biogeography-based optimization." IEEE Transactions on Evolutionary Computation, Vol. 12, Issue 6, pp. 702-713, 2008.

 
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