Subject Areas :
Electrical Engineering
Mohammad Kazeminejad
1
,
Saheb Khanabdal
2
,
Mozhdeh Karamifard
3
1 - Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
2 - Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran
3 - Department of Physics, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
Received: 2022-05-02
Accepted : 2022-06-19
Published : 2022-06-01
Keywords:
References:
Khalesi, et al.,“DG allocation with application of dynamic programming for loss reduction and reliability improvement,”International Journal of Electrical Power & Energy Systems, vol. 33, pp. 288-295, 2011.
N. S. Rau and Y. Wan, “Optimum location of resources in distributed planning,”IEEE Transactions on Power Systems, vol. 9, pp. 2014-2020, 1994.
Hedayati, et al., “A method for placement of DG units in distribution networks,”IEEE Transactions on Power Delivery, vol. 23, pp. 1620-1628, 2008.
Jamian, et al., “Comparative Study on Distributed Generator Sizing Using Three Types of Particle Swarm Optimization,”International Conference on Intelligent Systems, Modelling and Simulation, pp. 131-136, 2012.
Moradi and M. Abedini, “A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems,”International Journal of Electrical Power & Energy Systems, vol. 34, pp. 66-74, 2011.
L. T. Borges and D. M. Falcao, “Optimal distributed generation allocation for reliability, losses, and voltage improvement,”International Journal of Electrical Power & Energy Systems, vol. 28, pp. 413-420, 2006.
Abou El-Ela, et al., “Maximal optimal benefits of distributed generation using genetic algorithms,”Electric Power Systems Research, vol. 80, pp. 869-877, 2010.
A. Walling, R. Saint, R. C. Dugan, “Summary of distributed resources impact on power delivery systems, IEEE Trans. Power Del., Vol. 23, pp. 1636-1644, 2008.
Thomson & D. G. Infield, Network power-flow analysisfor a high penetration of distributed generation,” IEEE Trans. Power syst., vol. 22, No. 3, pp. 1157-1162, 2007.
Canova, L. Giaccone, F. Spertino, M. Tartaglia, “Electrical impact of photovoltaic plant in distributed network,” IEEE Trans. Ind. Appl., vol. 45, No. 1, pp. 341-347, 2009.
J. E. Alam, K. M. Muttaqi, “A three-phase power flow approach for integrated 3-wire MV and 4-Wire Multi-grounded LV network with rooftop solar PV,” IEEE Tran. power syst., Vol. 28, No. 2, 2013.
Abdel-Akher, “Voltage stability analysis of unbalanced distribution system using backward/forward sweep load-flow analysis method with secant predictor,” IET Gen., Transm. & Dist., Vol 7, pp. 309-317, 2013.
Van Cutsem and C. Vournas, “Voltage Stability of Electric Power Systems. Norwell,” MA: Kluwer, 1998.
Zabaiou, L. A. Dessaint, I. Kamwa, “Preventive control approach for voltage stability improvement using voltage stability constrained optimal power flow based on static line voltage stability indices,” IET Gen. Transm. Dist., Vol. 8, pp. 924-934, 2014.
Kundur, “Power system stability and control,” McGraw-Hill publish, 1994.
A. Birt, J. J. Graff, J. D. McDonald, A. H. El-Abiad, “Three phase load flow program,” IEEE Trans. Power App. Syst. Vol. 95, no. 1, pp. 59-65, 1976.
P. Zhang, “Fast three phase load flow methods,” IEEE Trans. Power Syst., vol. 11, no. 3, pp. 1547-1553, 1996.
K. Chen, M. S. Chen, R. R. Shoults, “Hybrid three phase load flow,” Inst. Elect. Eng., Gen., Transm., Dist., vol. 137, pp. 177-185, 1990.
P. Zhang, H. Chen, “Asymmetrical three phase load flow based on symmetrical component theory,” Inst. Elect., Eng., Gen., Transm., Dist., vol 137, pp. 248-252, 1994.
Wu and B. Zhang, “A three-phase power flow algorithm for distribution system power flow based on loop-analysis method,” International Journal of Electrical Power & Energy Systems, vol. 30, pp. 8-15, 2008.
Kazeminejad, M. Ghaffarianfar, and A. Hajizadeh. “Optimal Sizing and Location of Distributed Generation Units to Improve Voltage Stability and Reduce Power Loss in the Distribution System,”Journal of Applied Dynamic Systems and Control, 2(1), 2019, pp. 41-47.
Atashpaz-Gargari E., Lucas C., “Imperialist Competitive Algorithm: An algorithm for optimization inspired by imperialistic competition,” IEEE Congress on Evolutionary Computation, pp. 4661-4666, 2007.
Niknam, E. Taherian-Fard, N. Pourjafarian, “An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering,” Engineering Applications of Artificial Intelligence, Vol. 24, No. 2, pp. 306-317, 2011.
Mwakabuta, A. Sekar, “Comparative Study of the IEEE 34 Node Test Feeder under Practical Simplifications,” 39th North American Power Symposium, IEEE, 2007.