Abstract
In this paper, a new Vortex Optimization (VO) algorithm is proposed to solve the reactive power problem. The idea is generally focused on a typical Vortex flow in nature and enthused from some dynamics that are occurred in the sense of Vortex nature. In a few words, the algorithm is also a swarm-oriented evolutional problem solution methodology; since it comprises numerous techniques related to removal of feeble swarm members and trying to progress the solution procedure by supporting the solution space through fresh swarm members. In order to evaluate the performance of the proposed Vortex Optimization (VO) algorithm, it has been tested in Standard IEEE 30 bus systems and compared to other standard algorithms. Simulation results reveal about the best performance of the proposed algorithm in reducing the real power loss and static voltage stability margin index has been enhanced.
Highlights
Main objective of the Optimal reactive power dispatch problem is to minimize the real power loss and to enhance the voltage stability index.A variety ofnumerical techniqueslike the gradient method [1,2], Newton method [3] and linear programming [4,5,6,7] have been adopted to solve the optimal reactive power dispatch problem
The algorithm is a swarm-oriented evolutional problem solution methodology; because it includes many methods related to removal of feeble swarm members and trying to perk up the solution procedure by supporting the solution space by means of fresh swarm members
In order to evaluate the performance of the proposed Vortex Optimization (VO) algorithm, it has been tested in Standard IEEE 30 bus systems and compared to other standard algorithms
Summary
Main objective of the Optimal reactive power dispatch problem is to minimize the real power loss and to enhance the voltage stability index.A variety ofnumerical techniqueslike the gradient method [1,2], Newton method [3] and linear programming [4,5,6,7] have been adopted to solve the optimal reactive power dispatch problem. Both the gradient and Newton methods has the complexity in controlling inequality constraints. Simulation results reveal about the best performance of the proposed algorithm in reducing the real power loss and static voltage stability margin index has been enhanced
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
