Comparative Economic between Bat Algorithm (Ba) and Particle Swarm Optimization (Pso) for Solving Economy Dispatch

Vicky Andria Kusuma, Restu Mukti Utomo, Lucky Dwi Saputra, Yuli Prasetyo

2019

Abstract

Artificial intelligence is intelligence made using the program and added to a system to efficiently accomplish human work. In this research utilizing an artificial intelligence that is the bat algorithm method to solve economic dispatch problems in PT. PERTAMINA RU V BALIKPAPAN This study consists of determining the configuration of the generation of power in eight generators and steam requirements, the efficiency of the configuration produced. In the 10 MW load variation, the bat algorithm produces a generation cost of 195.88 tons / h while the algorithm The PSO generates 196.83 tons / h. This shows that the bat algorithm can obtain a generation cost that is smaller than the PSO, whereas the convergent speed of the bat algorithm is faster than the PSO algorithm, this is shown from the 865-iteration algorithm in the bat can converge whereas at PSO requires iteration to 956. At 20 MW load variation the bat algorithm is better than the PSO algorithm in terms of the generation cost value and the speed of this is shown from the bat algorithm generation value is 201.96 tons / h and the iteration speed is 669 while the large PSO algorithm generation is 203.23 tons / h and speed the iteration is 976

Paper Citation

in Harvard Style

Kusuma V., Utomo R., Saputra L. and Prasetyo Y. (2019). Comparative Economic between Bat Algorithm (Ba) and Particle Swarm Optimization (Pso) for Solving Economy Dispatch.In Proceedings of the 1st International Conference on Industrial Technology - Volume 1: ICONIT, ISBN 978-989-758-434-3, pages 272-280. DOI: 10.5220/0009490402720280

in Bibtex Style

@conference{iconit19,
author={Vicky Andria Kusuma and Restu Mukti Utomo and Lucky Dwi Saputra and Yuli Prasetyo},
title={Comparative Economic between Bat Algorithm (Ba) and Particle Swarm Optimization (Pso) for Solving Economy Dispatch},
booktitle={Proceedings of the 1st International Conference on Industrial Technology - Volume 1: ICONIT,},
year={2019},
pages={272-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009490402720280},
isbn={978-989-758-434-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Industrial Technology - Volume 1: ICONIT,
TI - Comparative Economic between Bat Algorithm (Ba) and Particle Swarm Optimization (Pso) for Solving Economy Dispatch
SN - 978-989-758-434-3
AU - Kusuma V.
AU - Utomo R.
AU - Saputra L.
AU - Prasetyo Y.
PY - 2019
SP - 272
EP - 280
DO - 10.5220/0009490402720280