IJERT-EMS
IJERT-EMS

Economic Dispatch and Interruptible Load Management with Renewable Energy using Particle Swarm Optimization


Economic Dispatch and Interruptible Load Management with Renewable Energy using Particle Swarm Optimization
Authors : Nandhini G, Dr. R Prakash, Anguraja R, J. P. Sridhar
Publication Date: 01-07-2017

Authors

Author(s):  Nandhini G, Dr. R Prakash, Anguraja R, J. P. Sridhar

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 07 , July - 2017

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV6IS070021

Abstract

Electrical Power systems are designed to meet the continuous variation of power demand. The objective of modern electric power utility system is to deliver reliable power to the customer at low cost without violating the operational constraints. This formulates the Economic Load Dispatch (ELD) problem. So Economic dispatch & Interruptible Load Management is formulated by using Particle Swarm Optimization (PSO). Integrating wind energy into bulk power system will leads to operational challenges like non-dispatch ability and variability. By considering the wind power along with Economic Load Dispatch and Interruptible Load Management is investigated by PSO. In this paper, six unit systems are considered and the conventional method like Lambda-Iteration is compared with PSO method with cost. IEEE 30 bus system is used for checking the effectiveness. At the end, the costs of both methods are compared to examine the best one among them.

Citations

Number of Citations for this article:  Data not Available

Keywords

Key Word(s):    

Downloads

Number of Downloads:     41
Similar-Paper

Call for Papers - May - 2017

        

 

                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book