# Hydrothermal Economic Dispatch Using Hybrid Big Bang-Big Crunch (HBB-BC) Algorithm
> Ieng S.

URL kanonis: https://discover.unhas.ac.id/publications/hydrothermal-economic-dispatch-using-hybrid-big-bang-big-crunch-hbb-bc-algorithm
Jurnal / Konferensi: Journal of Physics Conference Series
Tahun terbit: 2019
DOI: https://doi.org/10.1088/1742-6596/1198/5/052006
ISSN: 17426588
Citations: 7

## Authors
- Ieng S.

## Abstract
In power generation, it is expected to generate required amount of power based on the load system with minimum cost which is generally called as economic dispatch (ED). Therefore, providing an approach which can be used to solve ED problem in electric systems for effective operation is important. In this paper, hybrid big bang-big crunch (HBB-BC) algorithm was proposed to solve hydrothermal ED problem. Basically, HBB-BC is an algorithm which combined between BB-BC and PSO that use the PSO to improve ability of BB-BC algorithm. To examine the performance of HBB-BC algorithm for hydrothermal ED, IEEE 26 bus was utilized as test system with 6 generators (3 thermal and 3 hydro generator units). Next, simulation output was compared with improved PSO, and modified improved PSO algorithm. From results, HBB-BC algorithm shown the best result under tested case. It confirmed by obtained total operating cost for HBB-BC algorithm was the lowest (11,344.593 $/h) compared to IPSO (11,451.001 $/h) and MIPSO algorithms (11,387.000 $/h).

## Keywords
- Crunch
- Economic dispatch
- Algorithm
- Particle swarm optimization
- Computer science
- Hydrothermal circulation
- Electric power system
- Mathematical optimization
- Power (physics)
- Engineering
- Mathematics
- Biology
- Physics
- Chemical engineering
- Physiology
- Quantum mechanics

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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