Mitigating the Adverse Impact of Un-Deterministic Distributed Generation on a Distribution System Considering Voltage Profile

Authors

  • M. A. Aman Electrical Engineering Department, IQRA National University, Peshawar, Pakistan
  • S. Ahmad Electrical Engineering Department, IQRA National University, Peshawar, Pakistan
  • B. Noor Electrical Engineering Department, IQRA National University, Peshawar, Pakistan
  • F. W. Karam Electrical Engineering Department, COMSATS University Abbottabad, Pakistan

Abstract

Electric power systems are enforced to operate near to their stability limit due to the fast increase in power demand. Therefore, voltage stability has become a primary concern. The main cause of voltage variations is the imbalance between generation and consumption. In order to mitigate variations in voltage profile, most of the modern electric power systems are adopting new emerging technologies such as distributed generation. Validation of standard voltage optimization is a difficult task when distributed generation is integrated to medium and low voltage networks. Integration of distributed generation (DG) will have diverse impacts on voltage levels when connected un-deterministically to the electric distribution system. This paper analyzes both the impacts of un-deterministic large and small size DG on voltage profile. Feasible solutions by incorporating reactors and increasing cross sectional area of cables, variation in voltage profile were mitigated. Detailed simulations were performed in ETAP by modeling and evaluating Kohat road grid station situated in Peshawar, Pakistan. The results anticipated that this approach can be useful to ensure standard voltage profile and better utilization of un-deterministic DG units.

Keywords:

electric power system, distributed generation, voltage profile, synchronous, induction, generator

Downloads

Download data is not yet available.

References

M. O. Alruwaili, M. Y. Vaziri, S. Vadhva, S. Vaziri, “Impact of distributed generation on voltage profile of radial power systems”, 2013 IEEE Green Technologies Conference, Denver, USA, pp. 473-480, IEEE, 2013 DOI: https://doi.org/10.1109/GreenTech.2013.79

P. C. Chen, R. Salcedo, Q. Zhu, F. De Leon, D. Czarkowski, Z. P. Jiang, R. E. Uosef, “Analysis of voltage profile problems due to the penetration of distributed generation in low-voltage secondary distribution networks”, IEEE Transactions on Power Delivery, Vol. 27, No. 4, pp. 2020-2028, 2012 DOI: https://doi.org/10.1109/TPWRD.2012.2209684

D. Caples, S. Boljevic, M. F. Conlon, “Impact of distributed generation on voltage profile in 38kV distribution system”, 2011 8th International Conference on the European Energy Market, Zagreb, Croatia, pp. 532-536, IEEE, 2011 DOI: https://doi.org/10.1109/EEM.2011.5953069

Q. Sun, Z. Li, H. Zhang, “Impact of distributed generation on voltage profile in distribution system”, International Joint Conference on Computational Sciences and Optimization, (CSO 2009), Sanya, Hainan, China, pp. 249-252, IEEE, 2009 DOI: https://doi.org/10.1109/CSO.2009.468

V. Van Thong, J. Driesen, R. Belmans, “Interconnection of Distributed Generators and Their Influences on Power Sytem”, International Energy Journal Vol. 6, No. 1 Part 3, PP. 3-127−3-140, 2005

L. Ramesh, S. P. Chowdhury, S. Chowdhury, A. A. Natarajan, C. T. Gaunt, “Minimization of Power Loss in Distribution Networks by Different Techniques”, International Journal of Electrical Computer Engineering, Vol. 3, No. 4, pp.661-667, 2009

M. Aamir Aman, S. Ahmad, A. ul Asar, B. Noor, “Analyzing the diverse impacts of conventional distributed energy resources on distribution system”, International Journal of Advanced Computer Science and Applications, Vol. 8, No. 10, pp. 390–396, 2017 DOI: https://doi.org/10.14569/IJACSA.2017.081051

Downloads

How to Cite

[1]
Aman, M.A., Ahmad, S., Noor, B. and Karam, F.W. 2018. Mitigating the Adverse Impact of Un-Deterministic Distributed Generation on a Distribution System Considering Voltage Profile. Engineering, Technology & Applied Science Research. 8, 3 (Jun. 2018), 2998–3003. DOI:https://doi.org/10.48084/etasr.2033.

Metrics

Abstract Views: 573
PDF Downloads: 372

Metrics Information

Most read articles by the same author(s)