Optimal Integration of Distributed Generation in a Radial Distribution System Using BW/FW Sweep and PSO Algorithm

Abstract:

Installation of distributed generations (DGs) could be an effective solution to the problem of shortage of the electric energy especially in populated areas. Installation of DG in non-suitable places can result in more energy losses and voltage instability which leads to higher operating cost. DGs should be placed optimally in the network to get maximum efficiency of the system. This paper presents a new method to solve the optimal sizing and placement of DGs with the aim of minimizing real power loss and improving voltage profile in a distribution system. A power flow technique based on Backward/Forward (BW/FW) sweep is used to calculate the system losses through different branches. Particle Swarm Optimization algorithm is used to find out the optimal size and to identify the DG units placement in a radial distribution system simultaneously. Different scenarios of DG capacity are considered. The constraints of voltage and current through branches are investigated. The method is tested on 33-bus and 69-bus radial distribution systems to demonstrate the performance and the effectiveness of the proposed method. The results obtained are discussed and analyzed where they proved the usefulness of the applied algorithm.

• Periodical: Advanced Engineering Forum (Volume 35)
• Pages: 94-101
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.35.94
• Online since: February 2020
• Authors: Omrane Bouketir*, Haddi Sebaa, Tarek Bouktir
• Keywords: Backward/Forward Sweep, Distributed Generation Units, Optimal Sizing, Particle Swarm Optimizer (PSO)

References

[1] T. Akermman, G. Anderson and L. Sӧder, Distributed Generation: a definition, Electric Power Systems Research, 57 (2001) 195-204.

[2] H. Hedayati, S.A. Nabaviniaki, and A. Akbarimajd, A Method for Placement of DG Units in Distribution Networks, IEEE transactions on Power Delivery. 23(2008) 1620-1628.

DOI: 10.1109/tpwrd.2007.916106

[3] I. Pisica, C. Bulac, and M. Eremia, Optimal Distributed Generation Location and Sizing Using Genetic Algorithms, 15th International Conference on Intelligent System Applications to Power Systems, (2009) 1-6.

DOI: 10.1109/isap.2009.5352936

[4] K. Satish, B.B.R Sai, B. Tyagi and V. Kumar, Optimal placement of distributed generation in distribution networks, Int. Jour. of Eng. Science and tech., 3 (2011) 47-55.

[5] H. Manafi, N. Ghadimi, M. Ojaroudi and P. Farhadi, Optimal Placement of Distributed Generations in Radial Distribution Systems Using Various PSO and DE algorithms, Electronika IR Elektrotechnika, 19 (2013) 1392-1215.

DOI: 10.5755/j01.eee.19.10.1941

[6] T. Rambabu and P. V. Prasad, Optimal Placement and Sizing of DG Based on Power Stability Index in Radial Distribution System, International Conference on Smart Electric Grid (2014) 1-5.

DOI: 10.1109/iseg.2014.7005586

[7] N. Sarfaraz, and T. Ankush, A new Technique to solve DG allocation Problem for Distribution Power Loss Minimization, ICIC International, 9 (2018) 701-706.

[8] D.B. Prakash, and C. Lakshminarayana, Multiple DG Placements in Distribution System for Power Loss Reduction Using PSO Algorithm, Procedia Technology, 25(2016) 785-792.

DOI: 10.1016/j.protcy.2016.08.173

[9] D.B. Prakash, and C. Lakshminarayana, Optimal siting of capacitors in radial distribution network using Whale Optimization Algorithm, Alexandria Engineering Journal, 56(2017) 499-509.

DOI: 10.1016/j.aej.2016.10.002

[10] M. P. Lahitha, P.S. Babu and B. Adivesh, Optimal Distribution Generation and Capacitor Placement for Loss Minimization and Voltage Profile Improvement using Organisms Search Algorithm, Int. Jour.Elec. Eng., 9 (2016) 249-261.

[11] A. Rajendran and K. Narayanan, Optimal Installation of Different DG Types in Radial Distribution System Considering Load Growth, Electric Power Components and Systems, 45 (7) (2017) 739-751.

DOI: 10.1080/15325008.2017.1309721

[12] J. A. R. Michline, and S. Ganesh, Power Flow Analysis for Radial Distribution System Using Backward/Forward Sweep Method, IJECE, 8 (2014) 1628-1632.

[13] M. H. Moradi, A. Zeinalzadeh, Y. Mohamadi, M. Abedini, An efficient hybrid method for solving the optimal siting and sizing problem of DG and shunt capacitor banks simultaneously based on imperialist competitive algorithm and genetic algorithm, Electrical Power Systems and Energy Systems, 54 (2014) 101-111.

DOI: 10.1016/j.ijepes.2013.06.023

[14] B. Das, V. Mukherjee, and D. Das, DG placement in radial distribution network by symbiotic organisms search algorithm for real power loss minimization, Applied Soft Computing, 49 (2016) 920–936.

DOI: 10.1016/j.asoc.2016.09.015

[15] M. A. Abido, Optimal power flow using particle swarm optimization, Electrical power and energy system, 24 (2002) 563-571.

DOI: 10.1016/s0142-0615(01)00067-9

[16] J. Kennedy and R. Eberhart, A Particle Swarm Optimization, Proceedings of IEEE International conference on Neural Networks, 4 (1995) 1942- (1948).

[17] S. Safari, M.M. Ardehali, and M.J. Sirizi, Particle swarm optimization based fuzzy logic controller for autonomous green power energy system with hydrogen storage, Energy Conversion and Management, 65 (2013) 41-49.

DOI: 10.1016/j.enconman.2012.08.012

[18] P. Vijay, and S.P. Singh, Optimal Placement of DG in Distribution network for Power Loss minimization using NLP&PLS techniques, energy proc., 90 (2016) 441-454.

DOI: 10.1016/j.egypro.2016.11.211

[19] A. Khodabakhshian, and M. H. Andishgar, simultaneous placement and sizing of DGs and shunt capacitors in distributions systems by using IMDE algorithm, Electrical Power and Energy systems, 82(2016) 599-607.

DOI: 10.1016/j.ijepes.2016.04.002

[20] F. S. Abu-Mouti, and M. E. El-Hawary, Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm. IEEE Transactions on Power Delivery. 26(4) (2011) 2090-2101.

DOI: 10.1109/tpwrd.2011.2158246

[21] T. N. Shukla, S. P.Singh, V. Srinivasarao, K. B. Naik, Optimal sizing of distributed generation placed on radial distribution systems. Electric Power Components and Systems. 38 (3) (2010) 260-274.

DOI: 10.1080/15325000903273403