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Optimal Power Flow Reconfiguration in Electric Transmission Systems

  • Carrion Galarza, Diego Francisco (PI)
  • Varela Chamorro, Silvana Fabiola (Col)
  • Achig Santamaria, Pablo Andres (Student)
  • Angamarca Guaman, Marjorie Alexandra (Student)
  • Escudero Delgado, Pablo Vinicio (Student)
  • Sanchez Cabascango, Alex Javier (Student)
  • Eguez Mendoza, Cristian Fernando (Student)
  • Mora Freire, Juan Francisco (Student)
  • Hernandez Sanchez, Diego Ruben (Student)

Project Details

Description

This project addresses the critical need to enhance the reliability and efficiency of the electrical grid amidst the transition towards a Smart Grid. The central problem involves managing the reconfiguration of power flows during contingencies in the transmission stage, which is vital for system operation. Traditional expansion planning results in high construction and maintenance costs. Therefore, the goal is to maximize the utilization of existing installed capacity and maintain power transport capability during faults, minimizing reliance on new infrastructure. The methodology integrates historical, descriptive, inductive, and deductive research to consolidate knowledge. Applied research will be used to study the behavior of optimal AC power flow and develop an implementation methodology for the management models. Finally, experimental research will be conducted to test the developed model under various fault and disturbance scenarios within the electric power system.<br/><br/><b>Goal</b>: <br/>To develop a model for the optimal reconfiguration of power flows in electrical transmission systems, aiming to maximize the reliability of the Electric Power System (EPS) in the event of contingencies.<br/><br/><b>Research lines</b>: <br/>Optimization in electrical systems
StatusFinished
Effective start/end date22/01/1830/12/18

Keywords

  • Power Flow Reconfiguration
  • Electric Power Systems (EPS)
  • Smart Grid
  • System Reliability
  • Contingency Management
  • Optimal AC Power Flow
  • Transmission Planning
  • Energy Efficiency

CACES Knowledge Areas

  • 317A Electricity and Energy

Categorías UNESCO

  • Electricity and energy

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