@inproceedings{af9a88f05cc341e4bce1d5b50f8e99b6,
title = "Comparison between the Dynamic Programming and Particle Swarm Optimization for Solving Unit Commitment Problems",
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.",
keywords = "Dynamic programming, Microgrid, Particle swarm optimization, Renewable energy, Unit commitment",
author = "Borra, {Venkata Silpa} and K. Debnath",
year = "2019",
month = may,
day = "16",
doi = "10.1109/JEEIT.2019.8717481",
language = "English",
isbn = "9781538679418",
series = "2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019 - Proceedings",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "395--400",
editor = "Jaber, {Khalid Mohammad}",
booktitle = "2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019 - Proceedings",
address = "United States",
edition = "1",
note = "2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, JEEIT 2019 ; Conference date: 09-04-2019 Through 11-04-2019",
}
