JCMPSISSN:2582-6085

Power Quality Enhancement by Optimally Placing the UPQC in the Distribution System: A Hybrid Optimization Model

Abstract

Recently, there is a greater demand for the electricity and at the same time modern equipments utilized in the distribution system are more sensitive to distortions. Therefore, the power electronic devices like FACTS are considerably gaining a huge attention for enhancing the power quality. The UPQC is a FACTS device that can function as DSTATCOM and DVR for shunt and series compensators, respectively. Therefore, the Optimal placement of UPQC is considered as a solution to reach the goal of optimal operation in the distribution systems and power quality enhancement. In this research work, the Grasshopper Optimization with Genetic Algorithm (GOAGA) is utilized for optimally placing and sizing of UPQC in distribution system. To achieve the objective of optimal placement, the multi-objectives likes “minimization of cost, loss and Voltage Stability Index” need to be satisfied. The performance of the proposed optimal placement model of UPQC with GOAGA model is compared over the other state-of-art models to exhibit the superiority of the proposed work. The location accuracy of UPQC with GOAGA is 800 at 250% loading condition, while the location accuracy of UPQC with GOA, GA, GWO and ABC is 740.81%, 430%, 720% and 780%, respectively.

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