New variants/hybrid methods of memetic algorithm for solving optimal power flow problem with load uncertainty

  • Authors:
  • B. Srinivasa Rao;K. Vaisakh

  • Affiliations:
  • Department of Electrical Engineering, VRS Engineering College, Vijayawada, India;AU College of Engineering, Andhra University, Visakhapatnam, India

  • Venue:
  • International Journal of Hybrid Intelligent Systems
  • Year:
  • 2013

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Abstract

This paper presents the development and comparative application of recently developed evolutionary-based Memetic Algorithm MA along with its variants/hybrid methods for solving single objective Optimal Power Flow OPF problem. Two different variants based on single and double local search MA methods are implemented to solve single objective OPF problem. The MA algorithm is also hybridized with Differential Evolution DE to solve the OPF problem. The simulation studies are carried out on a standard IEEE 30-bus test system to demonstrate the effectiveness of the developed methods. The simulation results are compared with the existing methods available in the literature. The performance of the best variant/hybrid method is also tested for solution of single objective OPF problem by considering load uncertainty.