Abstract
This paper presents a Genetic Algorithm approach for optimal integration of Wind based on Distributed Generation (WDG) in smart grid taking in to count technical and security constraints. The optimal integration that is to say, look for the optimal location and size of the WDG to be integrated into the network. The objective function considered in this study is minimize active power losses. The proposed method is applied on IEEE 14 bus using MATLAB software.
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
References
Pham, T.: Energiewende and competition in Germany: diagnosing market power in wholesale electricity market. Econ. Policy Energy Environ. (2015)
Mosbah, M., Khattara, A., Becherif, M., Arif, S.: Optimal PV location choice considering static and dynamic constraints. Int. J. Emerg. Electr. Power Syst. 18, 1–13 (2017)
Canard, J.F.: Impact de la génération d’energie dispersee dans les réseaux de distribution, Doctorat de l’Institut National Polytechnique de Grenoble. Laboratoire d’Electrotechnique de Grenoble (2000)
Momoh, J.A., Boswell, G.: Value-based Implementation of distributed generation in optimal power flow. IEEE Trans. Power Syst. 7803–9255 (2005)
Yingchen, L., et al.: Optimal power flow of receiving power network considering distributed generation and environment pollution. IEEE Trans. Power Syst. 4244–4813 (2010)
Zhu, Y., Tomsovic, K.: Optimal distribution power flow for systems with distributed energy resources. Electric Power Energy Syst. 29, 260–267 (2007)
Harrison, G.P., Wallace, A.R.: Optimal power flow evaluation of distribution network capacity for the connection of distributed generation. IEEE Proc. Gener. Transm. Distrib. 152, 115–122 (2005)
Lin, S.Y., Chen, J.F.: Distributed optimal power flow for smart grid transmission system with renewable energy sources. Energy 56, 184–192 (2013)
Satish, K., Vishal, K., Barjeev, T.: Optimal placement of different type of DG sources in distribution networks. Electr. Power Energy Syst. 53, 752–760 (2013)
Masoud, E.: Placement of minimum distributed generation units observing power losses and voltage stability with network constraints. IET Gener. Transm. Distrib. 7, 813–821 (2013)
Kumar, A., Gao, W.: Optimal distributed generation location using mixed integer non-linear programming in hybrid electricity markets. IEEE Trans. Power Syst. 1751–8687 (2009)
Zeinalzadeh, A., et al.: Optimal multi objective placement and sizing of multiple DGs and shunt capacitor banks simultaneously considering load uncertainty via MOPSO approach. Electr. Power Energy Syst. 67, 336–349 (2015)
El-Zonkoly, M.: Optimal placement of multi-distributed generation units including different load models using particle swarm optimisation. In: Proceedings of IEEE PES Winter Meeting, pp. 1751–8687 (2010)
Mosbah, M., Arif, S., Zine, R., Mohammedi, R.D., Oudjana, S.H.: Optimal size and location of PV based DG-unit in transmission system using GA method for loss reduction. J. Electr. Eng. 17(37), 2577–2594 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Mosbah, M., Zine, R., Hamid-Oudjana, S., Arif, S. (2020). Optimal Location and Size of Wind Source in Large Power System for Losses Minimization. In: Hatti, M. (eds) Smart Energy Empowerment in Smart and Resilient Cities. ICAIRES 2019. Lecture Notes in Networks and Systems, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-030-37207-1_60
Download citation
DOI: https://doi.org/10.1007/978-3-030-37207-1_60
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37206-4
Online ISBN: 978-3-030-37207-1
eBook Packages: EngineeringEngineering (R0)