Optimal Sizing Of Distributed Generations Using Heuristic Optimization Techniques

Volume 5 Issue 3 May - July 2017

Research Paper

Optimal Sizing Of Distributed Generations Using Heuristic Optimization Techniques

Mahmoud A. Attia*, Marwa F. Fathi**, Ibrahim M. Diaa***

* Department of Electrical Power & Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.

** Electrical Engineer, Sakr Factory (Arab Organization for Industrialization), Cairo, Egypt.

*** Department of Engineering Physics and Mathematics, Faculty of Engineering, Ain Shams University, Cairo, Egypt.

Attia, M.A., Fathi, M.F., and Diaa, I.M. (2017). Optimal Sizing of Distributed Generations using Heuristic Optimization Techniques. i-manager’s Journal on Instrumentation and Control Engineering, 5(3), 10-24. https://doi.org/10.26634/jic.5.3.13678

Abstract

Nowadays Power system suffers from a lot of power flow problems. The main common problems are high power loss and overload of lines. The Distributed Generators (DGs) are considered as one of the efficient solutions for these problems. The DG can generate power at the location of load which helps in power loss problem. Also generation at load location will decrease the power flow in lines. This paper studies the DG sizing by new optimization techniques. Several cases studied in this work to select the suitable techno-economic strategy of DG sizing. Ranges of DG sizing in cases were studied are 40%, 60%, 80% and 100% of system loading. Studies consider trying to improve the voltage profile to certain limits by using the DGs. Finally, suggestion is concluded to which range of sizing is suitable and if the voltage limits consideration is economical or not in DG sizing.