Submit Manuscript

Journal of Applied Sciences

Year: 2012 | Volume: 12 | Issue: 9 | Page No.: 822-830
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend

Total views 228

Authors

Ahmad Asrul Ibrahim

Azah Mohamed

Hussain Shareef

Keywords

Research Article

A Novel Quantum-inspired Binary Gravitational Search Algorithm in Obtaining Optimal Power Quality Monitor Placement

Ahmad Asrul Ibrahim, Azah Mohamed and Hussain Shareef
This study presented a novel quantum-inspired binary gravitational search algorithm method for solving the optimal power quality monitor placement problem in power systems for voltage sag assessment. In this algorithm, the standard binary gravitational search algorithm is modified by applying the concept and principles of quantum behaviour as to improve the search capability with faster convergence rate. The optimization considers multi objective functions and handles observability constraint determined by the concept of the topological monitor reach area. The overall objective function consists of three functions which are based on the number of required monitor, monitor overlapping index and sag severity index. The proposed algorithm is applied on the radial 69-bus distribution system and the IEEE 118-bus transmission system. To show the effectiveness of the proposed algorithm, its performance is compared to the other optimization techniques, namely, binary gravitational search algorithm and binary particle swarm optimization and quantum-inspired binary particle swarm optimization.
PDF Fulltext XML References Citation

Related Articles

The Quantum Approach Leading from Evolutionary to Exhaustive Optimization
Heuristic Function Optimization Inspired by Social Competitive Behaviors
Voltage Control and Reactive Power Optimisation using the Meta Heuristics Method: Application in the Western Algerian Transmission System
Discrete Quantum-Behaved Particle Swarm Optimization for the Multi-Unit Combinatorial Auction Winner Determination Problem
Investigating the Performance of Shunt FACTS for the Operation of Induction Motors under Different Voltage Sag Conditions
A New Method for Determining Voltage Sag Source Locations by using Multivariable Regression Coefficients

Leave a Comment

Your email address will not be published. Required fields are marked *