# Planet Search algorithm based GSA Approaches to optimal Placement of UPFC Considering transient Stability margin and voltage stability

### Abstract

The present paper proposes a novel search algorithm to optimal placement of UPFC by modification of gravity search algorithm (**GSA**). In this regard, effect of transient stability margin and voltage stability margin are taken in to account which is neglected in previous studies. Also, three constrain limitation such as power loss, fuel cost and UPFC cost is considered during the optimization. Hence, the GSA is modified by proposed method (PM) which is named planet search algorithm (PSA) to improve Accuracy and Speed of GSA algorithm. In order to validate the performance of proposed method, comprehensive case study has been conducted on IEEE26-bus test system and Simulation results is compared with Primary GSA, PSO algorithm and genetic algorithm. The comparison results illustrate ability of the proposed method to fast and accurate placement of UPFC.

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*Majlesi Journal of Energy Management*,

*9*(1), 33-38. Retrieved from http://journals.iaumajlesi.ac.ir/em/index/index.php/em/article/view/408