A Novel Agent-Based Simulation Model for Analyzing Electricity Market Dynamics

SELÇUKLU S. B., ÖZDİN E., MUĞALOĞLU E., ÖZTÜRK C., Polat O., KILIÇ E., ...Daha Fazla

21st International Conference on the European Energy Market, EEM 2025, Lisbon, Portekiz, 27 - 29 Mayıs 2025, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/eem64765.2025.11050199
  • Basıldığı Şehir: Lisbon
  • Basıldığı Ülke: Portekiz
  • Anahtar Kelimeler: Agent-based simulation, Electricity markets, Machine Learning, Optimization
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

This study introduces the development of a novel agentbased simulation (ABS) model to analyze electricity market dynamics. The model integrates AI agents representing generation companies, employing machine learning to forecast the price and bidding in the market. Evolutionary algorithms will be utilized for optimized decision-making. This approach simulates market behavior under various scenarios, including renewable energy integration and diverse market structures. The model aims to provide insights into policy change and technology impacts by examining competitiveness, financial stability, and transparency. When the study is completed, key contributions will include the unique ABS model, innovative machine learning and optimization algorithms. The new model will allow in-depth analyses of market and renewable energy transitions.