Impacts of Electrical Line Losses Comprising Mul-ti-Distributed Generation in Distribution System

Show more

This paper proposes to study the impacts of electrical line losses due to the connection of distributed generators (DG) to 22kV distribution system of Provincial Electricity Authority (PEA). Data of geographic information systems (GIS) including the distance of distribution line and location of load being key parameter of PEA is simulated using digital simulation and electrical network calculation program (DIgSILENT) to analyze power loss of the distribution system. In addition, the capacity and location of DG installed into the distribution system is considered. The results are shown that, when DG is installed close to the substation, the electrical line losses are reduced. However, if DG capacity becomes larger and the distance between DG and load is longer, the electrical line losses tend to increase. The results of this paper can be used to create the suitability and fairness of the fee for both DG and utility.

References

[1] M. A. Kashem, G. Ledwich, M. Negnevitsky and D. T. Le, “Distributed Generation for Minimization of Power Losses in Distribution Systems,” IEEE Power Engineering Society General Meeting, 2006, pp. 1-8.

[2] O. Aliman, I. Musirin and M. H. Sulaiman, “DG Sizing Impact for Loss Minimization Considering Cost Factor,” 2012 IEEE International Power Engineering and Optimization Conference (PEDCO), Malaysia, 6-7 June 2012, pp. 389-394.

[3] D. Q. Hung and N. Mithulananthan, “An Optimal Operating Strategy of DG Unit for Power Loss Reduction in Distribution Systems,” 7th IEEE International Conference on Industrial and Information Systems (ICIIS), 2012, pp. 1-6.

[4] Y. M. Atwa, E. F. El-Saadany, M. M. A. Salama and R. Seethapathy, “Distribution System Loss Minimization Using optimal DG mix,” IEEE Power & Energy Society General Meeting (PES '09), 2009, pp. 1-6.

[5] M. F. Shaaban and E. F. El-Saadany, “Optimal Allocation of Renewable DG for Reliability Improvement and Losses Reduction,” IEEE Power and Energy Society General Meeting, 2012, pp. 1-8.

[6] R. K. Hosseini and R. Kazemzadeh, “Optimal DG Allocation by Extending an Analytical Method to Minimize Losses in Radial Distribution Systems,” 19th Iranian Conference Electrical Engineering (ICEE), 2011, pp. 1 - 6.

[7] T. G?zel and M. H. Hocaoglu, "An Analytical Method for the Sizing and Siting of Distributed Generators in Radial Systems," Elect. Power Syst. Res, Vol. 79, No. 6, 2009, pp. 912-918. doi:10.1016/j.epsr.2008.12.007

[8] N. Mithulananthan, T. Oo and V. P. Le, "Distributed Generator Placement in Power Distribution System using Genetic Algorithm to Reduce Losses," TIJSAT, Vol. 9, No. 3, 2004, pp. 55 – 62.

[9] F. Sheidaei, M. Shadkam and M. Zarei, “Optimal distributed generation allocation in distribution systems employing ant colony to reduce losses,” 43rd International Universities Power Engineering Conference (UPEC 2008), 2008, pp. 1 - 5.
doi:10.1109/UPEC.2008.4651548

[10] N. K. Aryani, M. Abdillah, I. M. Y. Negara and A. Soeprijanto, “Optimal Placement and Sizing of Distributed Generation using Quantum Genetic Algorithm for Reducing Losses and Improving Voltage Profile,” IEEE Region 10 Conference (TENCON 2011), 2011, pp. 108 - 112.

[11] M. T. Ameli, V. Shokri and S. Shokri, “Using Fuzzy Logic & Full Search for Distributed Generation Allocation to Reduce Losses and Improve Voltage Profile,” 2010 International Conference Computer Information Systems and Industrial Management Applications (CISIM), 2010, pp. 626 - 630.
doi:10.1109/CISIM.2010.5643526

[12] P. Chiradeja and C. Pothisarn, “Electrical Line Losses in Distribution System with the Inclusion of Very Small Power Producer,” In Proceedings of the fifth IASTED Asian Conference on Power and Energy Systems (AsiaPES2012), Thailand, April 2012.