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Placement of distributed generation (DG) sources in a distribution network has the potential to provide improved system performance such as reduced losses and improved voltage profile, while also providing nontechnical benefits like reduced emissions. The technical impact of DG sources can be positively or adversely affected by the location and sizing of the DG sources. Therefore choosing the location and size of DG sources is of utmost importance. This paper considers the placing and sizing of photovoltaic (PV) systems, which are DG sources providing active power, using a hybrid of Loss Sensitivity Factors (LSF) and Teaching Learning Based Optimization (TLBO) algorithm, by considering the minimization of losses as the objective function. The performance analysis of the proposed method in terms of real power loss and static voltage stability is carried out with standard IEEE 33-bus and standard IEEE 69-bus test systems. The proposed approach has given better results than many existing techniques and shows its adaptability to real time applications.
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