2 publications

• Published Subscription 15 Feb 2019

  A Comparative Study on Particle Swarm Optimization for Transmission Congestion Management

  By Patel Nilesh Kantilal, Bhavik N. Suthar

  Abstract: This research aims to propose solution to the issue of transmission congestion management based on optimal generation rescheduling using different variants of particle swarm optimization (PSO). In deregulated electricity market era, congestion management plays an essential role to accommodate all transactions within reliable system operations. Intending to reduce the congestion cost, optimum numbers of generators are selected based on generator sensitivity factor (GSF) to perform active power generation rescheduling. The …

  Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 86–93 Read article →

• Published Subscription 4 Jul 2018

  Reactive Power Optimization using Particle Swarm Optimization with Time Varying-Acceleration Coefficient

  By Patel Nilesh Kantilal, Aarju R. Joshi

  Abstract: This paper presents an approach for the solution of reactive power optimization problem. In deregulated power system operations, reactive power optimization helps the system operator to maintain system security with the economy. The application of the time-varying acceleration constant-particle swarm optimization (TVAC-PSO) method for the solution of this problem is emphasized. The real power losses of the system are minimized satisfying power balance, generator reactive power operating limit and voltage …

  Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 1–10 Read article →