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Abstract
This paper proposes Hybridization of Gravitational Search algorithm with Simulated Annealing algorithm (HGS) for solving optimal reactive power problem. Individual position modernize strategy in Gravitational Search Algorithm (GSA) may cause damage to the individual position and also the local search capability of GSA is very weak. The new HGS algorithm introduced the idea of Simulated Annealing (SA) into Gravitational Search Algorithm (GSA), which took the Metropolis-principle-based individual position modernize strategy to perk up the particle moves, & after the operation of gravitation, Simulated Annealing operation has been applied to the optimal individual. In order to evaluate the efficiency of the proposed Hybridization of Gravitational Search algorithm with Simulated Annealing algorithm (HGS), it has been tested on standard IEEE 118 & practical 191 bus test systems and compared to the standard reported algorithms. Simulation results show that HGS is superior to other algorithms in reducing the real power loss and voltage profiles also within the limits.
Highlights
Power system reliability is connected through security, and it mentions to dependability of service, evenness in frequency and particular voltage limitations
The new HGS algorithm introduced the idea of Simulated Annealing (SA) into Gravitational Search Algorithm (GSA), which took the Metropolis-principle-based individual position modernize strategy to perk up the particle moves, & after the operation of gravitation, Simulated Annealing operation has been applied to the optimal individual [12,13,14,15]
In order to evaluate the efficiency of the proposed Hybridization of Gravitational Search algorithm with Simulated Annealing algorithm (HGS), it has been tested on standard IEEE 118 & practical 191 bus test systems and compared to the standard reported algorithms
Summary
Power system reliability is connected through security, and it mentions to dependability of service, evenness in frequency and particular voltage limitations. In recent times extensive Optimization techniques such as genetic algorithms have been projected to solve the reactive power flow problem [8,9,10].Gravitational Search Algorithm (GSA) [11] is proposed by Professor Esmat Rashedi of Blackman University of Iranian in 2009. According to the above stated disadvantages of GSA, this paper project’s Hybridization of Gravitational Search algorithm with Simulated Annealing algorithm (HGS) for solving reactive power problem. The new HGS algorithm introduced the idea of Simulated Annealing (SA) into Gravitational Search Algorithm (GSA), which took the Metropolis-principle-based individual position modernize strategy to perk up the particle moves, & after the operation of gravitation, Simulated Annealing operation has been applied to the optimal individual [12,13,14,15]. Simulation results show that HGS is superior to other algorithms in reducing the real power loss and voltage profiles within the limits
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