Dolphin Echolocation Algorithm for Solving Optimal Reactive Power Dispatch Problem

This paper proposes Dolphin echolocation Algorithm (DEA) for solving the multi-objective reactive power dispatch problem. Echolocation is the genetic sonar used by dolphins and more than a few kinds of other animals for direction-finding and hunting in different environments. This aptitude of dolphins is mimicked in this paper to develop a new process for solving optimal reactive power dispatch problem. A detailed study has shown that meta-heuristic algorithms have certain overriding rules. These rules will facilitate to get enhanced results. Dolphin echolocation algorithm takes reward of these rules and outperforms many active optimization methods. The new approach DEA leads to outstanding results with little computational efforts. In order to evaluate the efficiency of the proposed algorithm, it has been tested on IEEE 30 bus system and compared to other specified algorithms. Simulation results show that DEA is superior to other algorithms in tumbling the real power loss and enhancing the voltage stability.

[1]  D. Griffin.  Listening in the dark: The acoustic orientation of bats and men. , 1958 .

[2]  C. Moss,et al.  Echolocation in bats and dolphins , 2003 .

[3]  Q. H. Wu,et al.  Power system optimal reactive power dispatch using evolutionary programming , 1995 .

[4]  A.C.Z. de Souza,et al.  Comparison of performance indices for detection of proximity to voltage collapse , 1996 .

[5]  Kwang Y. Lee,et al.  Fuel-cost minimisation for both real-and reactive-power dispatches , 1984 .

[6]  S. R. Paranjothi,et al.  Optimal Power Flow Using Refined Genetic Algorithm , 2002 .

[7]  P. Aruna Jeyanthy,et al.  Optimal Reactive Power Dispatch for Voltage Stability Enhancement Using Real Coded Genetic Algorithm , 2010 .

[8]  Barron J. Bichon,et al.  Design of Steel Frames Using Ant Colony Optimization , 2005 .

[9]  John May.  The Greenpeace Book of Dolphins , 1990 .

[10]  Ali Kaveh,et al.  A HYBRID PARTICLE SWARM AND ANT COLONY OPTIMIZATION FOR DESIGN OF TRUSS STRUCTURES , 2008 .

[11]  Charles V. Camp,et al.  Design of Space Trusses Using Ant Colony Optimization , 2004 .

[12]  Whitlow W. L. Au,et al.  The Sonar of Dolphins , 1993, Springer New York.

[13]  Ali Kaveh,et al.  Genetic algorithm for discrete‐sizing optimal design of trusses using the force method , 2002 .

[14]  D. Devaraj,et al.  Improved genetic algorithm for multi-objective reactive power dispatch problem , 2007 .

[15]  Saeed Gholizadeh,et al.  Optimum design of structures by an improved genetic algorithm using neural networks , 2005, Adv. Eng. Softw..

[16]  B. Yegnanarayana,et al.  Genetic-algorithm-based optimal power flow for security enhancement , 2005 .

[17]  A. Kaveh,et al.  A new optimization method: Dolphin echolocation , 2013, Adv. Eng. Softw..

[18]  E Salajegheh,et al.  OPTIMAL DESIGN OF STRUCTURES FOR TIME HISTORY LOADING BY SWARM INTELLIGENCE AND AN ADVANCED MET MODEL , 2009 .

[19]  A. Monticelli,et al.  Security-Constrained Optimal Power Flow with Post-Contingency Corrective Rescheduling , 1987, IEEE Transactions on Power Systems.

[20]  S. M. Shahidehpour,et al.  Linear reactive power optimization in a large power network using the decomposition approach , 1990 .

[21]  O. Alsac,et al.  Optimal Load Flow with Steady-State Security , 1974 .

[22]  Kwang Y. Lee,et al.  Optimal Real and Reactive Power Control Using Linear Programming , 1993 .

[23]  K. Lee,et al.  A United Approach to Optimal Real and Reactive Power Dispatch , 1985, IEEE Transactions on Power Apparatus and Systems.