# Power Transmission Optimization Using Synchronous Condenser Incorporated with Hybrid Particle Swarm Pattern Search Algorithm
> Karangan R.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85153089897
Jurnal / Konferensi: 2023 International Conference on Power Instrumentation Energy and Control Piecon 2023
Tahun terbit: 2023
DOI: https://doi.org/10.1109/PIECON56912.2023.10085755
Citations: 1

## Authors
- Karangan R.

## Abstract
The synchronous condenser (SC) was tested in this study to improve performance of the power transmission in the South Sulawesi Electric Power System model, in Indonesia, a multi-engine power system, using a hybrid of particle swarm optimization (PSO) and pattern search (PS) algorithms. This method employs MATLAB and DigSILENT, which is linked by an automated data exchange protocol. Power flow calculations are performed using DigSILENT, and the particle swarm pattern search optimization (PSPSO) algorithm is implemented using MATLAB. This method has been shown through power flow calculation to minimize losses on the transmission line and enhance voltage profile, ensuring power grid stability.

## Keywords
- Particle swarm optimization
- MATLAB
- Electric power transmission
- Algorithm
- Computer science
- Electric power system
- Power (physics)
- Transmission line
- Condenser (optics)
- Control theory (sociology)
- Engineering
- Electrical engineering
- Physics
- Artificial intelligence
- Telecommunications
- Control (management)
- Optics
- Light source
- Operating system
- Quantum mechanics

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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