Dynamically controlled particle swarm optimization for large‐scale nonconvex economic dispatch problems. (5th November 2014)

• Record Type: Journal Article
• Authors: Jadoun, Vinay Kumar; Gupta, Nikhil; Niazi, Khaleequr Rehman; Swarnkar, Anil
• Is Part Of: International transactions on electrical energy systems. Volume 25:Number 11(2015)
• Page Start: 3060
• Page End: 3074
• Publication Date: 2014-11-05
• Subjects: economic dispatch -- particle swarm optimization -- fuel cost minimization -- prohibited operating zones -- ramp rate -- valve‐point loading; Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/etep.2022
• Languages: English
• ISSNs: 2050-7038

Abstract

Summary: This paper proposes a dynamically controlled particle swarm optimization method to solve nonconvex economic dispatch problem of large dimensions. It essentially aims to improve the performance of the conventional particle swarm optimization by suggesting improved cognitive and social components of the particle's velocity through preceding and aggregate experience of the swarm, respectively. The control parameters of the governing equation are controlled dynamically by introducing new exponential functions. The overall methodology effectively regulates the velocity of the particles during their whole course of flight and results in substantial improvement. The effectiveness of the proposed method has been investigated on 40 generators and 140 generators test generating systems by considering general operational constraints. The application results show that the proposed method is very promising to solve large‐dimensional economic dispatch problems. Copyright © 2014 John Wiley & Sons, Ltd.