Power Loss Reduction and Voltage Profile improvement by Photovoltaic Generation

Power Loss Reduction and Voltage Profile improvement by Photovoltaic Generation

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2015 by IJETT Journal
Volume-20 Number-4
Year of Publication : 2015
Authors : Seyed Reza Seyednouri , Homayoun Ebrahimian , Aref Jalili
DOI :  10.14445/22315381/IJETT-V20P236

Citation 

Seyed Reza Seyednouri , Homayoun Ebrahimian , Aref Jalili "Power Loss Reduction and Voltage Profile improvement by Photovoltaic Generation", International Journal of Engineering Trends and Technology (IJETT), V20(4),192-196 Feb 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Power Loss reduction and Voltage Profile improvement in radial distribution system by implementation of Photovoltaic Generation (PVDG) are the objectives of this study. The multiobjective function based on system performance indices of ILP and ILQ, related to real and reactive power losses, and IVD, related to voltage profile improvement, are utilized in the present work. The Particle Swarm Optimization (PSO) has been employed to minimize the multiobjective function. Two scenarios have been studded in this work. In the first scenario, the constraint for PVDG unit size has not been considered. In the second scenario, the constraint for PVDG unit size has been considered and in both scenario problem has been solved with one PVDG. The studies have been carried out on IEEE 33 bus test. The results show that PVDG penetration has decreased power loss and improved voltage profile. Comparison of the results obtained by the proposed method with those attained in other studies shows the effectiveness of the proposed method.

References

[1] U.S. Energy Information Administration (EIA). July 2013. International Energy Outlook 2013 with Projections to 2040.
[2] D. Singh, D. Singh and K. S. Verma,” Electrical Impact of Photovoltaic Plantin Distributed Network,” IEEE Transactions on Industry Applications, VOL. 45, NO. 1, pp. 427–436, January/February 2009.
[3] P.S. Georgilakis and N. D. Hatziargyriou, “Optimal Distributed Generation Placementin Power Distribution Networks: Models, Methods, and Future Research,” IEEE Trans. Power Syst., vol. 28, no. 3, pp. 3420–3428, August 2013.
[4] A. Ameli, S. Bahrami, F. khazaeli and M.-R. Haghifam, “Optimum location of resources in distributed planning,” IEEE Trans. Power Delivery., vol. 29, no. 4, pp. 1831–1840, August 2014.
[5] A. T. Davda, B. Azzopardi, B. R. Parekh and M. D. Desai,“Dispersed Generation Enable Loss Reductionand Voltage Profile Improvement in Distribution Network—Case Study, Gujarat, India,” IEEE Trans. Power Syst., vol. 29, no. 3, pp. 1242–1249, May 2014.
[6] IEEE, July. 2003. IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems, formal specifications. IEEE Standard 1547TM-2003.
[7] Shirek,G. J and Lassiter, A.B., July/August. 2013. Photovoltaic Power Generation, IEEE Industry Applications Magazine.,pp. 63–72.
[8] D. Singh, D. Singh and K. S. Verma,“Multiobjective Optimization for DG Planning with Load Models,”IEEE Trans. Power system. vol. 24, no. 1, pp. 427–436, February. 2009.
[9] Shi Y, Eberhart R. A modified particle swarm optimizer. Proceedings of IEEE International Conference on Evolutionary Computation (ICEC’98). Anchorage: IEEE Press; 1998. p. 69–73.
[10] Shi Y, Eberhart R. Parameter selection in particle swarm optimization. Proceedings of the 1998 Annual Conference on Evolutionary Programming. San Diego: MIT Press; 1998.
[11] Lee, K. Y and El-Sharkawi, M. A., 2008. Modern Heuristic Optimization Techniques. IEEE Press.
[12] Kashem MA, Ganapathy V, Jasmon GB, Buhari MI. A novel method for loss minimization in distribution networks. In: Proceedings of international conference on electric utility deregulation and restructuring and power technologies, 2000. p. 251–5.
[13] Acharya, N; Mahat, P and Mithulananthan, N., Dec. 2006.An analytical approach for DG allocation in primary distribution network, Elect. Power Syst. Res., vol. 28, no. 10, pp. 669–678.
[14] Shukla, T. N. Singh, S. P. Srinivasarao, V and Naik, K. B., 2010. Optimal sizing of distributed generation placed on radial distribution systems,” Elect. Power Compon. Syst., vol. 38, no. 3, pp. 260–274.
[15] 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, VOL. 26, NO. 4, pp. 2090–2101, October 2011.
[16] Hussain, I and Roy, A.K., March. 2012. Optimal Distributed Generation Allocation in Distribution Systems Employing Modified Artificial Bee Colony Algorithm to Reduce Losses and Improve Voltage Profile, IEEE-International Conference On Advances In Engineering, Science And Management. , pp. 565–570.

Keywords
photovoltaic distributed generator (PVDG), radial distribution system, the Particle Swarm Optimization (PSO), power losses, voltage profile.