Optimal Power Flow Model Integrated Electric Power System with Wind Power Generation - Case Study: Electricity System South Sulawesi-Indonesia

Abstract

The large number of uses of electrical energy encourage humans to identify and utilize new primary energy sources such as wind power. However, wind energy is unstable which can affect the stability of power flow in conventional power systems. The intermittent wind energy prompted the development of power flow analysis methods. In this study, the IEEE 26 bus data system is used as a method validation, and the 150 KV 29 bus data system in South Sulawesi which is integrated with wind power plants as a case study. The method used is the hybrid update velocity inertia weight algorithm (IWA) and the constriction factor algorithm (CFA) abbreviated as PSOHIC. The simulation results of the South Sulawesi system data integrated with the wind power plant show that PSOHIC converges at the 9th iteration faster than IWA in the 29th iteration and CFA in the 20th iteration. The power loss using the PSOHIC method of 18,155 WM/h is lower than the existing system, which is 19,267 WM/h, or the power loss has decreased by 5,7691%. The generation cost using PSOHIC is 5.986,917 $/h, smaller than the existing system, which is 6.428,61 $/h, or the generation cost has decreased by 6,784%.

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