Abstract
With proper installation of distributed generation (DG), the performances of distribution grid, such as system loss, power quality and reliability, can be improved effectively. In this paper, the particle swarm optimization (PSO) based solution procedure, including the simplified load flow and the proposed modified DC load flow models, is used to solve for the optimal DG installation problem with the proposed fast feeder reconfiguration procedure. The computing efficiency is increased with the load flow fast estimated by the simplified load flow model and the tie switches to open to make a radial feeder structure selected based on the modified DC load flow model. Numerical results indicate that the proposed method can efficiently make a suitable feeder structure with a small system loss and a big DG penetration level.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Civanlar, S., et al. (1988). Distribution feeder reconfiguration for loss reduction. IEEE Transactions on Power Delivery, 3(3), 1217–1223.
Baran, M. E., & Wu, F. F. (1989). Network reconfiguration in distribution systems for loss reduction and load balancing. IEEE Transactions on Power Delivery, 4(2), 1401–1407.
Darling, G. R., Chiang, H. D., & Wang, J. C. (1996). An efficient algorithm for real-time network reconfiguration in large scale unbalanced distribution systems. IEEE Transactions on Power Systems, 11(1), 511–517.
Olamaei, J., Niknam, T., & Gharehpetian, G. (2007). Impact of distributed generators on distribution feeder reconfiguration. In Proceedings of IEEE Lausanne Power Tech, 2007.
Li, F. (2009). Application of ordinal optimization for distribution system reconfiguration. In Proceedings of Power Systems Conference and Exposition, IEEE/PES, 2009.
Su, S. Y., Lu, C. N., Chang, R. F., & Gutiérrez-Alcaraz, G. (2011). Distributed generation interconnection planning: A wind power case study. IEEE Transaction on Smart Grid, 2(1), 181–1189.
Chang, R.F., et. al. (2010). Modified particle swarm optimization for solving distribution feeder reconfiguration problem with distributed generation. In Proceedings of IEEE TENCON, November 21–24, 2010.
Clerc, M. (1999). The Swarm and The Queen: Towards a deterministic and adaptive particle Swarm optimization. In Proceedings of the 1999 Congress on Evolutionary Computation (Vol. 3, pp. 1951–1957).
Acknowledgments
The authors gratefully acknowledge the financial supports from National Science Council of Taiwan under Grants NSC 102-3113-P-110-007.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Chang, RF., Chen, SL., Chang, YC., Lu, CN., Wang, YW. (2014). Modified DC Load Flow Based Optimal DG Installations with Fast Feeder Reconfiguration. In: Juang, J., Chen, CY., Yang, CF. (eds) Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems (ICITES2013). Lecture Notes in Electrical Engineering, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-319-04573-3_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-04573-3_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04572-6
Online ISBN: 978-3-319-04573-3
eBook Packages: EngineeringEngineering (R0)