# Dynamic economic dispatch for 150 kV sulselbar power generation systems using artificial bee colony algorithm
> Haripuddin

URL kanonis: https://discover.unhas.ac.id/publications/dynamic-economic-dispatch-for-150-kv-sulselbar-power-generation-systems-using-ar
Jurnal / Konferensi: 2019 International Conference on Information and Communications Technology Icoiact 2019
Tahun terbit: 2019
DOI: https://doi.org/10.1109/ICOIACT46704.2019.8938474
Citations: 5

## Authors
- Haripuddin

## Abstract
Managing power generation is very important in the process of distributing electrical energy to consumers to get optimal power generation in the system with minimum cost. In this study, an Artificial Bee Colony algorithm is proposed to get the best economic dispatch solution for the 150 kV Sulselbar electric system in Indonesia by considering losses, generation limits and ramp rate for each unit. Simulation results from the same system are compared with the Lagrange method which only considers the generator power limit. Besides that, voltage stability of the system is also evaluated using the L index including the loading margin on buses which are considered weak. Results have shown the proposed method (Artificial Bee Colony algorithm) is able to provide the best solution for dynamic economic dispatch to the observed system.

## Keywords
- Economic dispatch
- Artificial bee colony algorithm
- Electric power system
- Electricity generation
- Limit (mathematics)
- Computer science
- Generator (circuit theory)
- Margin (machine learning)
- Voltage
- Power system simulation
- Mathematical optimization
- Stability (learning theory)
- Lagrange multiplier
- Power (physics)
- Process (computing)
- Control theory (sociology)
- Engineering
- Electrical engineering
- Mathematics
- Control (management)
- Mathematical analysis
- Quantum mechanics
- Operating system
- Machine learning
- Artificial intelligence
- Physics

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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