# The Optimization of SVC Placement in Sulselbar Transmission System Using Inertia Weight Particle Swarm Optimization
> Haz F.

URL kanonis: https://discover.unhas.ac.id/publications/the-optimization-of-svc-placement-in-sulselbar-transmission-system-using-inertia
Jurnal / Konferensi: Proceedings of the 2nd International Conference on High Voltage Engineering and Power Systems Towards Sustainable and Reliable Power Delivery Ichveps 2019
Tahun terbit: 2019
DOI: https://doi.org/10.1109/ICHVEPS47643.2019.9011127
Citations: 5

## Authors
- Haz F.

## Abstract
Sulselbar power flow condition indicates the existing of buses voltage under specified standards which is determined. The operation of the Sulselbar electrical system consists of 44 buses and the power loss is 80.104 MW due to the non-optimal location of the reactive power. One of the solution to overcome the problems is the installation of Static Var Compensator (SVC) in Sulselbar transmission system. Several methods were conducted and improved to optimize the location of SVC. In this paper, the installation of SVC is using Inertia Weight Particle Swarm Optimization (IWPSO) which is the improvement of PSO. The optimization result shows that the Sulselbar transmission system require 4 location of SVC which are at bus 5 with 45.7 MVAr, bus 17 with 34.06 MVAr, bus 31 with 50.8 MVAr, and bus 40 with 120 MVAr. The result of the SVC installation is that the bus average raised 3.3% from 0.961 pu to 0.994 pu which also leads to power losses reduction on average of 9.14% from 80.104 MW to 72.777 MW.

## Keywords
- AC power
- Static VAR compensator
- Particle swarm optimization
- Control theory (sociology)
- Computer science
- Inertia
- Electric power system
- Voltage
- Power (physics)
- Slack bus
- Electric power transmission
- Transmission (telecommunications)
- Automotive engineering
- Engineering
- Power-flow study
- Electrical engineering
- Telecommunications
- Physics
- Algorithm
- Control (management)
- Quantum mechanics
- Artificial intelligence
- Classical mechanics

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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