A Multiparadigm Approach for Generation Dispatch Optimization in a Regulated Electricity Market towards Clean Energy Transition

Suroso Isnandar, Jonathan F. Simorangkir, Kevin M. Banjar-Nahor, Hendry Timotiyas Paradongan () and Nanang Hariyanto
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Suroso Isnandar: School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung 40132, Indonesia
Jonathan F. Simorangkir: School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung 40132, Indonesia
Kevin M. Banjar-Nahor: School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung 40132, Indonesia
Hendry Timotiyas Paradongan: School of Business and Management, Bandung Institute of Technology, Bandung 40132, Indonesia
Nanang Hariyanto: School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung 40132, Indonesia

Energies, 2024, vol. 17, issue 15, 1-28

Abstract: In Indonesia, the power generation sector is the primary source of carbon emissions, largely due to the heavy reliance on coal-fired power plants, which account for 60% of electricity production. Reducing these emissions is essential to achieve national clean energy transition goals. However, achieving this initiative requires careful consideration, especially regarding the complex interactions among multiple stakeholders in the Indonesian electricity market. The electricity market in Indonesia is characterized by its non-competitive and heavily regulated structure. This market condition often requires the PLN, as the system operator, to address multi-objective and multi-constraint problems, necessitating optimization in the generation dispatch scheduling scheme to ensure a secure, economical, and low-carbon power system operation. This research introduces a multiparadigm approach for GS optimization in a regulated electricity market to support the transition to clean energy. The multiparadigm integrates multi-agent system and system dynamic paradigms to model, simulate, and quantitatively analyze the complex interactions among multiple stakeholders in the Indonesian regulated electricity market. The research was implemented on the Java–Madura–Bali power system using AnyLogic 8 University Researcher Software. The simulation results demonstrate that the carbon policy scheme reduces the system’s carbon emissions while increasing the system’s cost of electricity. A linear regression for sensitivity analysis was conducted to determine the relationship between carbon policies and the system’s cost of electricity. This research offers valuable insights for policymakers to develop an optimal, acceptable, and reasonable power system operation scheme for all stakeholders in the Indonesian electricity market.

Keywords: multiparadigm; economical; low carbon; generation scheduling; unit commitment; economic dispatch; optimization; system dynamics; multi-agent system; regulated electricity market; power system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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