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<p>Renewable energy integration into the grid leads to developing an efficient TSN design to evacuate power. This study presents an optimal RES integrated TSN design to evacuate the power from a 550 MW solar park. The transmission network infrastructure is planned to see the economic benefits and reliability effects (N-1 contingency analysis). The design procedure emphasizes developing a techno-economical TSN based on prevailing acts, grid codes, regulations, and planning criteria for power evacuation from the high-quality large-scale RES. A cost-based objective function is formulated to minimize the overall costs associated with building and operating transmission facilities. It includes constructing new transmission lines, ICTs and LILO infrastructure for power evacuation. A genetic algorithm is used to optimize the cost-based objective function. The computational and simulation result validates the techno-economic aspects while maintaining the planning criteria for N-1 contingency analysis.</p>

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Optimal design of renewable energy source-integrated transmission system network for evacuation of power

  • 期刊论文

  • 发表日期：

    2025年7月30日

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  • Hitesh Kumar Tiwari,
  • Rajeev Kumar Chauhan,
  • Sanjay Kumar Maurya

摘要

Renewable energy integration into the grid leads to developing an efficient TSN design to evacuate power. This study presents an optimal RES integrated TSN design to evacuate the power from a 550 MW solar park. The transmission network infrastructure is planned to see the economic benefits and reliability effects (N-1 contingency analysis). The design procedure emphasizes developing a techno-economical TSN based on prevailing acts, grid codes, regulations, and planning criteria for power evacuation from the high-quality large-scale RES. A cost-based objective function is formulated to minimize the overall costs associated with building and operating transmission facilities. It includes constructing new transmission lines, ICTs and LILO infrastructure for power evacuation. A genetic algorithm is used to optimize the cost-based objective function. The computational and simulation result validates the techno-economic aspects while maintaining the planning criteria for N-1 contingency analysis.