Composite Reliability Index of Practical Distribution Network with PVDG Integration
Science Journal of Circuits, Systems and Signal Processing
Volume 8, Issue 1, June 2019, Pages: 24-31
Received: Jul. 1, 2019; Accepted: Jul. 23, 2019; Published: Aug. 8, 2019
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Authors
Thin Thin Moe, Department of Electrical Power Engineering, Mandalay Technological University, Mandalay, Myanmar
Myint Thuzar, Department of Electrical Power Engineering, Mandalay Technological University, Mandalay, Myanmar
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Abstract
The benefits of the photovoltaic distributed generation (pvdg) installation in the distribution network include the total system loss reduction, voltage profile improvement and the reliability enhancement of the distribution network by minimizing the interruption and duration time to customers due to the loss of utility or due to the faults in transmission lines/equipments. in this research, the optimal size of pvdg is connected at the optimal location of practical distribution network (town pyone feeder). The multi-state model is used to calculate the probabilities of the solar irradiance data and the output power of pvdg. These probabilities of solar irradiance are applied to assess the reliability of the practical distribution network with pvdg integration. The reliability within the island operation mode of the distribution system with pvdg is presented. Analytical approach is described to assess the impact of pvdg on the system reliability due to the stochastic behavior of pv output power. a composite index organizing the impact of pvdg on the overall reliability of distribution network including interruption frequency, interruption duration and expected energy not supplied is presented. The results show that the integration of pvdg placement in the practical distribution network can improve the reliability and the applying proposed methodology can enable determining pvdg configuration concerning the overall system reliability improvement.
Keywords
Composite Index, Multi-State Model, Pvdg, Reliability
To cite this article
Thin Thin Moe, Myint Thuzar, Composite Reliability Index of Practical Distribution Network with PVDG Integration, Science Journal of Circuits, Systems and Signal Processing. Vol. 8, No. 1, 2019, pp. 24-31. doi: 10.11648/j.cssp.20190801.14
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
R. Billinton and Ronald N. Allan. Peliabilit, Reliability Evaluation of Power System, New York, 1996.
[2]
T. Adefarati and R. C. Bansal, “Reliability assessment of distribution system with the integration of renewable distributed generation”, Applied Energy, vol. 185, pp. 158-171, October 2017.
[3]
P. Paliwal and N. P. Patidar, “Distributed generator placement for loss reduction and improvement in reliability”, World Academy of Science, Engineering and Technology, vol. 4, no. 9, pp. 1409-1413, 2010.
[4]
A. A. Osama, N. Safari and C. Y. Chung, “Reliability assessment of microgrid with renewable generation and prioritized loads”, IEEE Green Energy and Systems Conference (IGSEC)”, pp. 1-6, November 2016.
[5]
C. Guoyan et al., “Reliability evaluation of distribution system with distributed generation,” Materials Science and Engineering (ICMMR), pp. 1-8, January 2017.
[6]
S-Yul Kim and J-O Kim, “Reliability evaluation of distribution network with DG considering the reliability of protective devices affected by SFCL”, IEEE Transactions on Applied Superconductivity, vol. 21, pp. 3561-3569, no. 5, October 2011.
[7]
R. M. Ciric and N. L. J. Rajakovic, “A new composite index of reliability of supply in the industrial systems with distributed generation”, Electrical Power and Energy Systems, vol. 44, pp. 824-831, September 2012.
[8]
Thin Thin Moe and Myint Thuzar, “Reliability enhancement of radial distribution system using optimal placement of PVDG”, Universal academic cluster (UAC), Thailand, pp. 1-6, May, 2019.
[9]
Jeongie Park, et al., “A probabilistic reliability evaluation of power system including solar/photovoltaic cell generator”, IEEE Power and Energy Society General Meeting (PES), pp. 1-6, July, 2009.
[10]
Thin Thin Moe, Kyaw Myo Lin, “Reliability assessment of distribution network with photovoltaic distributed generation considering multi-state model of PV capacity” International Conference on Science and Engineering (ICSE) 2018 YTU, Yangon, pp. 1-6, December 2018.
[11]
Prapon et al., “Assessment of solar energy potentials for the Union of Myanmar”, Silpakorn University, Thailand, September 2009.
[12]
A. Aflferidi and R. Karki, “Development of probabilistic reliability models of photovoltaic system topologies for system adequacy evaluation” Applied Sciences, pp. 1-16, February2017.
[13]
MESC, “Town Pyone distribution network data from Owebo substation”, Mandalay Area, 2018.
[14]
T. Jen-Hao, S. W Luan, D. J. Lee and Y-Q Huang, “Optimal charging/discharging scheduling of battery storage systems for distribution systems interconnected with sizeable PV generation systems, ” IEEE Transactions on Power systems, vol. 28, pp. 1-6, November 2012.
[15]
R. A. Swief, T. S. Abdel-Salam and N. H. EI-Amary, “Photovoltaic and wind turbine integration applying cuckoo search for probabilistic reliable optimal placement”, Energies, vol. 11, pp. 1-17, January2018.
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