Optimal Power Flow For Power System Integrated With Renewable Energy System Considering Carbon Tax Using Novel Metaheuristic Algorithm

Wilasa, Kavindra Natha (2025) Optimal Power Flow For Power System Integrated With Renewable Energy System Considering Carbon Tax Using Novel Metaheuristic Algorithm. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

To ensure clean and affordable electricity generation, Renewable Energy System (RES), which integrates conventional generation units and Solar Photovoltaic (PV), has emerged as a sustainable solution for ensuring an affordable electricity supply while reducing carbon emissions in compliance with Indonesian carbon tax regulation. Aligning with the Indonesian government's target of achieving a 25% renewable energy mix by 2030. Currently, coal-fired power plants remain the dominant source of electricity generation in Indonesia, accounting for approximately 61.8% of the nation's total electricity production. Therefore, RES plays a crucial role in accelerating the transition towards cleaner energy sources. To optimize power generation within RES, Dynamic Optimal Power Flow (DOPF) techniques are used with considering electricity generation cost and carbon emission minimalization. Additionally, it must satisfy multiple constraints, such as generation capacity limits and transmission constraints. This research conducts a DOPF simulation using MATLAB 2023b software, using the Turbulent Flow of Water-based Optimization (TFWO) algorithm to achieve the optimal operation of conventional generation units in a modified IEEE 30-Bus system with an integration of Solar PV with a contingency N-1 case under a dynamic 24-hour period. The results demonstrate that the TFWO algorithm successfully obtain the fitness function of 10.813,84 under RES with contingency N-1 case, with the standard deviation of 0,0103.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Carbon Tax, Renewable Energy System, Dynamic Optimal Power Flow, and Turbulent Flow of Water-based Optimization (TFWO)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation
Divisions:	Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Kavindra Natha Wilasa
Date Deposited:	28 Jul 2025 08:50
Last Modified:	28 Jul 2025 08:50
URI:	http://repository.its.ac.id/id/eprint/121983

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