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Promoted Osprey Optimizer: a solution for ORPD problem with electric vehicle penetration.

Ziang Liu1, Xiangzhou Jian2, Touseef Sadiq3

  • 1Department of Electrical and Computer Engineering, Carnegie Mellon University, Pennsylvania, 15213, USA.

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|November 14, 2024
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Summary

A new Promoted Osprey Optimizer (POO) effectively integrates electric vehicles (EV) into optimal reactive power dispatch. This method significantly reduces power loss and voltage deviation in power systems.

Keywords:
Metaheuristic optimizationORPD Electric VehiclesOptimal reactive power dispatchPower System OperationPromoted Osprey Optimizer

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Area of Science:

  • Electrical Engineering
  • Optimization Algorithms
  • Power Systems

Background:

  • The integration of electric vehicles (EVs) presents challenges for optimal reactive power dispatch (ORPD).
  • Existing metaheuristic algorithms may struggle with the complexity of EV integration in power grids.

Purpose of the Study:

  • To introduce a novel optimization technique for the ORPD problem with EV integration.
  • To enhance power system efficiency and stability by minimizing losses and voltage deviations.

Main Methods:

  • A modified metaheuristic algorithm, the Promoted Osprey Optimizer (POO), inspired by osprey hunting behavior.
  • Application of the POO-based model to IEEE 118-bus and IEEE 57-bus systems under various EV penetration scenarios.

Main Results:

  • The POO algorithm achieved significant reductions in active power losses (up to 22.2%) and voltage deviations (up to 20.6%).
  • Demonstrated superior performance compared to existing metaheuristic techniques in minimizing power loss and voltage deviation.
  • Specific reductions shown: 57-bus system (1.93 MW loss, 0.027 p.u. voltage deviation) and 118-bus system (3.53 MW loss, 0.043 p.u. voltage deviation).

Conclusions:

  • The POO algorithm is a highly effective tool for optimizing ORPD with EV integration.
  • POO offers a promising solution for improving power system performance and stability.
  • Potential benefits for power system operators and planners in managing EV integration.