# Automatic Generation Control for a Two-Area Multi-Source Power System with Renewable Energy Using the Komodo Mlipir Algorithm
> Windiarto

URL kanonis: https://discover.unhas.ac.id/publications/automatic-generation-control-for-a-two-area-multi-source-power-system-with-renew
Jurnal / Konferensi: 2023 IEEE International Conference on Energy Technologies for Future Grids Etfg 2023
Tahun terbit: 2023
DOI: https://doi.org/10.1109/ETFG55873.2023.10407760
Citations: 1

## Authors
- Windiarto

## Abstract
This paper represents the use of the Komodo Mlipir Algorithm (KMA) optimization method for automatic generation control (AGC) of a two-area multi-source power system with renewable energy sources (thermal, gas, hydro, and wind). Its aim is to enhance the system's dynamic responses. The FO-PID controller is utilized to acquire KMA-optimized controller parameter values using the integral of time weighted absolute Error (ITAE) objective function to demonstrate the proposed approach. In accordance with the system dynamic response, the FO-PID controller surpasses the regular PID and 2DOF-PID controllers. The FO-PID controller's robustness is also tested in both domains with a step load. Finally, the simulation results reveal that KMA outperforms alternative population-based optimization strategies. Thus, KMA can be one of the options as a controller tuning algorithm for AGC system modeling.

## Keywords
- PID controller
- Automatic Generation Control
- Control theory (sociology)
- Robustness (evolution)
- Renewable energy
- Computer science
- Electric power system
- Control engineering
- Controller (irrigation)
- Power (physics)
- Engineering
- Temperature control
- Control (management)
- Chemistry
- Physics
- Biology
- Quantum mechanics
- Artificial intelligence
- Electrical engineering
- Biochemistry
- Agronomy
- Gene

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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