Abstract
In presence of the Distributed Generation (DG) brought new challenges to the protection engineers since novel coordination scheme is no longer appropriate with the penetration of the DG. The extreme case is violation to the primary and backup relay selectivity constraint. This violation will have resulted to the degradation of the relay performance. Therefore, this paper proposes the best location of the DG penetration to decrease the effect of the DG presentation to the relay performance using the grey wolf optimization (GWO) algorithm. The impacts of the DG prior to the location of the insertion are implemented to the radial 7 bus test system. As a consequence, the best location of the DG penetration is then identified.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhan, H., et al.: Relay protection coordination integrated optimal placement and sizing of distributed generation sources in distribution networks. IEEE Trans. Smart Grid. 7(1), 5–65 (2016)
Bastiao, F., Cruz, P., Fiteiro, R.: Impact of distributed generation on distribution networks. In: 2008 5th International Conference on the European Electricity Market. pp. 128–132 (2008)
Britto, T.M.D., et al.: Distributed generation impacts on the coordination of protection systems in distribution networks. In: 2004 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America (IEEE Cat. No. 04EX956), pp. 623–628 (2004)
Mirjalili, S., Mirjalili, S.M., Lewis, A.: Grey wolf optimizer. Adv. Eng. Softw. 69, 46–61 (2014)
Sulaiman, M.H., et al.: Using the gray wolf optimizer for solving optimal reactive power dispatch problem. Appl. Soft Comput. 32, 286–292 (2015)
Panagant, N., Bureerat, S.: Truss topology, shape and sizing optimization by fully stressed design based on hybrid grey wolf optimization and adaptive differential evolution. Eng. Optim. 1–17, (2018)
Moazami Goodarzi, H., Kazemi, M.H.: An optimal autonomous microgrid cluster based on distributed generation droop parameter optimization and renewable energy sources using an improved grey wolf optimizer. Eng. Optim. pp. 1–21 (2017)
Chaitusaney, S., Yokoyama, A.: Impact of protection coordination on sizes of several distributed generation sources. In: 2005 International Power Engineering Conference, pp. 669–674 (2005)
Shih, M.Y., et al.: Mitigating the impact of distributed generation on directional overcurrent relay coordination by adaptive protection scheme. In: 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), pp. 1–6 (2016)
Shih, M.Y., et al.: An Adaptive overcurrent coordination scheme to improve relay sensitivity and overcome drawbacks due to distributed generation in smart grids. IEEE Trans. Ind. Appl. (99), 5217–5228 (2017)
Jenkins, N.: Embedded generation. Energy engineering series. 2000: Institution of Engineering and Technology (2010)
Acknowledgements
This work was supported by Universiti Malaysia Pahang under grant no. RDU1803101.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jamal, N.Z., Sulaiman, M.H., Aliman, O. (2019). Impact of Overcurrent Protection Coordination on the Location of the Distributed Generation Sources. In: Md Zain, Z., et al. Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 . Lecture Notes in Electrical Engineering, vol 538. Springer, Singapore. https://doi.org/10.1007/978-981-13-3708-6_53
Download citation
DOI: https://doi.org/10.1007/978-981-13-3708-6_53
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3707-9
Online ISBN: 978-981-13-3708-6
eBook Packages: EngineeringEngineering (R0)