Reduction of real power loss by Improved Differential Evolution algorithm


Author (s):

  1. Dr.B.RavindhranathReddy, Jawaharlal Nehru Technological University Kukatpally, Hyderabad, India
  2. Mr.K.Lenin, Jawaharlal Nehru Technological University Kukatpally, Hyderabad, India, gklenin@gmail.com

Abstract:

In this paper an Improved Differential Evolution (IDE) algorithm is proposed to solve optimal reactive power dispatch problem. Differential Evolution (DE) algorithm is a renowned population based stochastic algorithm used to solve optimization problems. But, DE, like other nature inspired algorithms, occasionally stuck in local optima and also undergoes from the problem of stagnation. To resolve these issues and improving the convergence speed of DE algorithm, Artificial Bee Colony algorithm?s fitness based position update strategy is assimilated with it. In the proposed algorithm, first all the solutions are updated their positions using the DE algorithm than the ABC search strategy is applied to improve the convergence speed of the exploration process. The proposed IDE algorithm has been tested on standard IEEE 57 bus test system and simulation results show clearly the better performance of the proposed algorithm in reducing the real power loss.

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