Optimal allocation, sizing, and timing of reactive power compensation using multi-objective function particle swarm optimization

  • Fares S. Akaila

Student thesis: Master's Thesis

Abstract

Various optimization problem formulations to optimally allocate reactive power compensation devices and determine the sizing of the compensator. In a multiyear study, the timing of installations is chosen while satisfying various system operation constraints in the planning phase of an electrical power network. The optimal solution is evaluated by three different objective functions each of which will yield to an optimum result satisfying the criteria of that function. The objective functions are: voltage improvement percentage, cost of operation, and multiple objective function that combines between the first two objective functions. The different scenarios obtained from changing the fixed incremental capacity of the compensator of the compensator used, the time in which the algorithm starts its optimization algorithms, and the number of compensators implemented in the system. The evolutionary algorithm particle swarm optimization is used as an optimization tool to search for the optimal solution in each distinguished run.
Date of AwardMay 2020
Original languageAmerican English

Keywords

  • Reactive Power Compensation
  • Allocation
  • Sizing
  • Timing
  • Particle Swarm Optimization.

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