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<p>Modern energy systems are a complex and inter-connected network of multiple energy system, mainly consumers, energy markets and distributed generation, with self-serving objectives. Efficiently utilizing the available resources is paramount to support ongoing energy transition goals. This research examines the operation of a multi-carrier energy system taking into account energy pricing and the integration of renewable energy sources. The optimization process focuses on maximizing reliability while minimizing operational costs, all within the constraints of peak load pricing. The modeling and optimization are carried out using C + + software, which includes numerical simulations and various case studies. The suggested optimization aims to reduce peak demand during periods of high energy prices. The results from the case studies demonstrate the superiority of the system while maintaining acceptable rate of objectives in energy system.</p>

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Optimal Operation of the Multi-Carrier Energy System Considering Energy Markets and Renewable Energies Participation

  • 期刊论文

  • 发表日期：

    2025年8月14日

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  • Ming Hung Lin,
  • Barno Matchanova,
  • Hayitov Abdulla Nurmatovich,
  • Zokir Mamadiyarov,
  • Sabirov Sardor,
  • Matyakubov Nurbek,
  • Sobir Parmanov,
  • Gularam Masharipova

摘要

Modern energy systems are a complex and inter-connected network of multiple energy system, mainly consumers, energy markets and distributed generation, with self-serving objectives. Efficiently utilizing the available resources is paramount to support ongoing energy transition goals. This research examines the operation of a multi-carrier energy system taking into account energy pricing and the integration of renewable energy sources. The optimization process focuses on maximizing reliability while minimizing operational costs, all within the constraints of peak load pricing. The modeling and optimization are carried out using C + + software, which includes numerical simulations and various case studies. The suggested optimization aims to reduce peak demand during periods of high energy prices. The results from the case studies demonstrate the superiority of the system while maintaining acceptable rate of objectives in energy system.