Comparison between the Dynamic Programming and Particle Swarm Optimization for Solving Unit Commitment Problems

Venkata Silpa Borra, K. Debnath

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

Abstract

This paper presents a comparison between Dynamic Programming (DP) and Particle Swarm optimization (PSO) approaches for minimizing fuel cost and CO2 emissions and solving Unit Commitment (UC) problem in Microgrid Central Energy Management System (MCEMS). Both approaches minimize the fuel cost and CO2 emissions for the Micro Gas Turbine (MGT). These techniques are applied to ten subsystems in MCEMS. The MCEMS adjusts itself during the operation in the generation system. The test results of DP and PSO are compared with emphasis on a more practical solution. A MATLAB program was written to minimize the UC problem. Simulation results demonstrate that the PSO technique is more accurate than DP the technique in solving UC problems.

Original languageEnglish
Title of host publication2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019 - Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages395-400
Number of pages6
ISBN (Electronic)9781538679425
DOIs
Publication statusPublished - 16 May 2019
Event2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019 - Amman, Jordan
Duration: 9 Apr 201911 Apr 2019

Publication series

Name2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019 - Proceedings

Conference

Conference2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019
CountryJordan
CityAmman
Period9/04/1911/04/19

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  • Cite this

    Borra, V. S., & Debnath, K. (2019). Comparison between the Dynamic Programming and Particle Swarm Optimization for Solving Unit Commitment Problems. In 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019 - Proceedings (pp. 395-400). [8717481] (2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019 - Proceedings). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/JEEIT.2019.8717481