Research Article Open Access

Reactive Power Optimization Using Quantum Particle Swarm Optimization

K. S. Chandragupta Mauryan1, K. Thanushkodi2 and A. Sakthisuganya1
  • 1 Sri Krishna College of Technology, India
  • 2 Akshaya College of Engineering and Technology, India


Problem statement: The problem of controlling a power system is not an easy task; it is subjected to various constraints. There are at risks of voltage instability problems due to highly stressed operating conditions caused by increased load demand and other constraints in the power system network. Approach: This study presents the implementation of Quantum Particle Swarm Optimization (QPSO) in solving the Reactive Power Optimization (RPO) problem. The main aim of this algorithm is the minimization of the real power loss and to improvise the voltage in the system. In this new algorithm, the particles were made to perform studies on itself and also the best ones in the system. Results: The implementations of QPSO were carried on modified IEEE 14 bus system for obtaining solution to the reactive power optimization and the output results are found predominant with classical PSO. Conclusion: This technique is used to find the best solution and also the convergence time is reduced. The proposed QPSO method is demonstrated and results are compared with traditional optimization methods.

Journal of Computer Science
Volume 8 No. 10, 2012, 1644-1648


Submitted On: 3 May 2012 Published On: 24 August 2012

How to Cite: Mauryan, K. S. C., Thanushkodi, K. & Sakthisuganya, A. (2012). Reactive Power Optimization Using Quantum Particle Swarm Optimization. Journal of Computer Science, 8(10), 1644-1648.

  • 1 Citations



  • Quantum Particle Swarm Optimization (QPSO)
  • optimal reactive power control
  • Reactive Power Optimization (RPO)
  • conditions caused
  • found predominant