TY - JOUR
T1 - Optimal allocation of PV systems to minimize losses in distribution networks using GA and PSO
T2 - Masirah Island case study
AU - Albadi, Mohammed
AU - Soliman, Hisham
AU - Thani, Mahmood Awlad
AU - Al-Alawi, Ahmed
AU - Al-Ismaili, Said
AU - Al-Nabhani, Ahmed
AU - Baalawi, Haitham
PY - 2017
Y1 - 2017
N2 - This study addresses the issue of photovoltaic (PV) systems optimal allocation in electric distribution network. A case study of using particle swarm optimization (PSO) and genetic algorithms (GA) is presented. The objective function of the problem is to minimize system losses while improving voltage profile. The study considers the network of Masirah Island, Oman, as a case study system. The study includes two stages. In the first stage, the test system is modeled and simulated using the MATLAB load flow toolbox. In the second stage, both PSO and GA optimization tools are used to find the optimal allocation of PV systems. Both algorithms resulted in similar values for both the objective function value and decision variables. Simulation results shows that technical real power losses represent 2.1% of the total load. However, the optimal allocation of PV systems at five buses can reduce losses by 50%.
AB - This study addresses the issue of photovoltaic (PV) systems optimal allocation in electric distribution network. A case study of using particle swarm optimization (PSO) and genetic algorithms (GA) is presented. The objective function of the problem is to minimize system losses while improving voltage profile. The study considers the network of Masirah Island, Oman, as a case study system. The study includes two stages. In the first stage, the test system is modeled and simulated using the MATLAB load flow toolbox. In the second stage, both PSO and GA optimization tools are used to find the optimal allocation of PV systems. Both algorithms resulted in similar values for both the objective function value and decision variables. Simulation results shows that technical real power losses represent 2.1% of the total load. However, the optimal allocation of PV systems at five buses can reduce losses by 50%.
KW - Genetic algorithms
KW - Loss minimization
KW - Particle swarm optimization
KW - Photovoltaic systems
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M3 - Article
AN - SCOPUS:85035001150
SN - 1112-5209
VL - 13
SP - 678
EP - 688
JO - Journal of Electrical Systems
JF - Journal of Electrical Systems
IS - 4
ER -
