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Optimal Allocation and Sizing of PV Distributed Generations under Several Loading Conditions

Mahmoud Abdallah Attia*, Mohamed Ezzat**, Ibrahim M. Diaaeldin***

*_** Assistant Professor, Department of Electric Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.

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

Periodicity:December - February'2019
DOI : https://doi.org/10.26634/jcir.7.1.15250

Abstract

This paper aims to reduce the power losses and improve system reliabilty through finding optimal number, location, and sizing of Photovoltaic Distributed Generations (PV-DG). The PV-DG is modeled as a negative load, draws reactive power from grid and injects real power to the grid. Optimum allocation of PV-DGs and their sizing is obtained by Harmony Search Algorithm (HS) and Teaching-Learning-Based Optimization (TLBO) approaches. IEEE 33-bus distribution system was successfully demonstrated by that approach. HS has proven its superiority against TLBO algorithm as it uses less DGs rating devices to enhance distribution system performance. The new contribution in this research is to optimize the number of DGs that does not operate with a given number of DGs (1 DG , 2 DG ,…..) as most of the previous works. Another contribution is to study the optimization under several loading conditions.

Keywords

Distributed Generations, Harmony Search Algorithm, Teaching Learning Based Optimization, Optimal Locations, Sizing, Loss Minimization.

How to Cite this Article?

Attia, M. A, Ezzat, M., and Diaaeldin, I. M (2019). Optimal Allocation and Sizing of PV Distributed Generations under Several Loading Conditions. i-manager's Journal on Circuits and Systems , 7(1), 1- 13. https://doi.org/10.26634/jcir.7.1.15250

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Optimal Allocation and Sizing of PV Distributed Generations under Several Loading Conditions

Abstract

Keywords

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