# Thermal plants optimization using fuzzy logic controller
> Manjang S.

URL kanonis: https://discover.unhas.ac.id/publications/thermal-plants-optimization-using-fuzzy-logic-controller
Jurnal / Konferensi: 2006 1st IEEE Conference on Industrial Electronics and Applications
Tahun terbit: 2006
DOI: https://doi.org/10.1109/ICIEA.2006.257064
Citations: 2

## Authors
- Manjang S.

## Abstract
Interconnection electric power system has thermal power plants., such South Sulawesi, fuel cost is an important element in operating interconnection electric power system. Totally, in the operational cost of generation, fuel price is the greater part. And, the fuel price tends to raise from time to time. Therefore, it makes effort to cut down on the operational cost by decreasing fuel cost until minimum level. One of the methods used in handling production cost of thermal power plants is fuzzy logic. Fuzzy Logic is one of the soft computing methods with capacity to process of uncertain data, imprecision and could be implemented with lower cost. This paper discusses how to optimize the output power of thermal plants unit by including generator limits, and calculating transmission losses in interconnection electric power system. Optimization method used is fuzzy logic controller with patron based on output La Grange method

## Keywords
- Fuzzy logic
- Interconnection
- Thermal power station
- Electric power system
- Computer science
- Generator (circuit theory)
- Controller (irrigation)
- Electricity generation
- Electric power
- Power (physics)
- Automotive engineering
- Engineering
- Control engineering
- Electrical engineering
- Telecommunications
- Quantum mechanics
- Artificial intelligence
- Physics
- Agronomy
- Biology

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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