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Authors: Vicky Andria Kusuma 1 ; Restu Mukti Utomo 2 ; Lucky Dwi Saputra 2 and Yuli Prasetyo 2

Affiliations: 1 Institut Teknologi Kalimantan, Indonesia ; 2 Politeknik Negeri Balikpapan, Indonesia

Keyword(s): Artificial Intelligent, Bat algorithm, Economy dispatch, Particle Swarm Optimization (PSO)

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 valu e 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 (More)

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Paper citation in several formats:
Kusuma, V.; Utomo, R.; Saputra, L. and Prasetyo, Y. (2020). 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 - ICONIT; ISBN 978-989-758-434-3, SciTePress, pages 272-280. DOI: 10.5220/0009490402720280

@conference{iconit20,
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 - ICONIT},
year={2020},
pages={272-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009490402720280},
isbn={978-989-758-434-3},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Industrial Technology - 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 - 2020
SP - 272
EP - 280
DO - 10.5220/0009490402720280
PB - SciTePress

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