MARATTO

article · International journal of engineering research in Africa

Solving Reactive Power Dispatch Problem by Using JAYA Optimization Algorithm

Abstract

This paper proposes a new optimization algorithm called JAYA algorithm for solving the optimal reactive power dispatch (ORPD) problem. Minimizing the real power losses is one of main objective functions of (ORPD) problem. The ORPD problem is subjected to non-linear equality and inequality operational constraints. The proposed JAYA is a recently developed optimization algorithm. The main merit of Jaya algorithm is that the algorithm performance is liberated of specific control parameters adjustment. Therefore, it overcomes the limitations of previous optimization algorithms in terms of achieving the global optima atless computational efforts. The effectiveness of the proposed Jaya algorithm is proven on three standard systems namely IEEE 14-bus, 30-bus and 118-bus test systems. Added to that, Jaya is successively tested on the West Delta Real Network (WDRN) as a real part of the Egyptian grid. The obtained simulation results prove that the proposed JAYA algorithm has significant reduction in power losses for the tested system compared with other optimization algorithms. The obtained results confirm that the proposed JAYA optimization algorithm can make a noticeable enhancement on solving the ORPD problem for small and large-scale power systems.

Research topics

  • Optimal Power Flow Distribution
  • Power System Optimization and Stability
  • Electric Power System Optimization

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.4028/www.scientific.net/jera.36.12

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.