Real Power Loss Minimization and Voltage Stability Enhancement by Hybridization of Eagle Strategy with Particle Swarm Optimization Algorithm

In this paper, Hybridization of Eagle Strategy (ES) with Particle Swarm Optimization is proposed to solve the optimal reactive power dispatch Problem. Proposed hybridization of Eagle Strategy with Particle Swarm Optimization (EPSO) enhances the search in rigorous mode. Eagle strategy has been instigating by the foraging behaviour of golden eagles. This stratagem has two important parameters: arbitrary search and exhaustive chase. At first it explores the search space globally, and then in the second case the strategy makes an intensive local search with using an effective local optimizer method. So, Particle Swarm Optimization has been enhanced using ES and employed to solve reactive power optimization problem. In order to appraise the efficiency of the projected EPSO algorithm, it has been tested in standard IEEE 30 bus system and compared other reported algorithms. Results show’s that EPSO algorithm is more efficient in plummeting the real power loss and voltage index also enhanced. Journal of the Institute of Engineering, 2018, 14(1): 22-34

[1]  S. Granville.  Optimal reactive dispatch through interior point methods , 1994 .

[2]  K. L. Lo,et al.  Genetic algorithm for optimal reactive power dispatch , 1998, Proceedings of EMPD '98. 1998 International Conference on Energy Management and Power Delivery (Cat. No.98EX137).

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

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

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

[6]  M. A. Abido,et al.  Optimal power flow using particle swarm optimization , 2002 .

[7]  Xin-She Yang,et al.  Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization , 2010, NICSO.

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

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

[10]  Yutian Liu,et al.  Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm , 2008 .

[11]  Mohammad Ali Abido,et al.  A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem , 2003, 10th IEEE International Conference on Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003.

[12]  N. Grudinin.  Reactive power optimization using successive quadratic programming method , 1998 .

[13]  S. M. Shahidehpour,et al.  An Efficient Technique for Reactive Power Dispatch Using a Revised Linear Programming Approach , 1988 .

[14]  Vladimiro Miranda,et al.  EPSO-evolutionary particle swarm optimization, a new algorithm with applications in power systems , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.