Reactive Power Management through Dispatch Analysis using Evolutionary Algorithms
Vishnu B. Patel1, Rajesh M. Patel2
1Vishnu Patel, Research Scholar, R.K. University, Rajkot, Gujarat India, Assistant Professor, U.V.Patel College Of Engineering, Ganpat University, Kherwa, Mehsana, Gujarat.
2Dr. Rajesh M. Patel, Electrical Department, Marwadi University, Rajkot, India.
Manuscript received on September 17, 2019. | Revised Manuscript received on 26 September, 2019. | Manuscript published on October 10, 2019. | PP: 759-765 | Volume-8 Issue-12, October 2019. | Retrieval Number: L31871081219/2019©BEIESP | DOI: 10.35940/ijitee.L3187.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Sufficient reactive power requires to maintain system terminal voltages. Reactive power is an important ancillary service requires to be provided locally. Reactive power management involves two main important parts economical reactive power procurement and economical reactive power dispatch which also satisfy technical constraints. Main centering of this work is to dispatch reactive power by considering it as important optimization problem of power system. ORPD is solved as single objective function and multi objective function. Two main objective functions (1) Minimization of real power loss and (2) Diminution of L-index are considered and problem is tested for different IEEE bus systems and results were compared for SPEA and NSGA-II techniques.
Keywords: Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE), Strength Pareto Evolutionary Algorithm (SPEA), Non-Dominated Sorting Genetic Algorithm -II (NSGA-II) )
Scope of the Article: Algorithm Engineering