Optimasi Load Frequency Control (LFC) Pada Sistem Pembangkit Listrik Tenaga Mikro Hidro Berbasis PID-ANFIS


  • Mochamad Andrik Universitas Darul ’Ulum
  • Mohamad Farul Universitas Darul ’Ulum
  • Iwan Cahyono Universitas Darul ’Ulum
  • Rukslin Rukslin Universitas Darul ’Ulum




ANFIS, Micro hydro, LFC, PID


Microhydro Power Plant is a small-scale power plant.Microhydro plants are built in areas where there is no power grid.In areas with sufficient water potential to generate electrical energy.The problem that often occurs in the micro-hydro generator system is the occurrence of non-constant generator.This is caused by changes in connected loads.Thus causing frequent fluctuations in the frequency of the system that can cause damage to electrical equipment.Therefore used Load Frequency Control (LFC) in order to control the frequency can be more stable.To get the optimal control parameter in micro hydro power plant system is used an Artificial Intelligence (AI) that is Adaptive Neuro Fuzzy Inference System (ANFIS) method. ANFIS data is taken from PID controller training data.By using PID-ANFIS control method, microhydro generating system can accelerate settling time and minimize overshoot.


Tri Siswanto, Dwi Hendra Kusuma, Rukslin, Agus Raikhani, Desain Optimal Load Frequency Control (LFC) Pada Sistem Pembangkit Listrik Tenaga Mikrohidro (PLTMH) Menggunakan Metode Particle Swarm Optimization (PSO), SENTIA-2016, Polinema, Malang, pp: B35-B39

Dwi Ajiatmo, Agus Raikhani, Desain Optimasi LFC Pada Micro-Hydro Menggunakan Metode Ant Colony Optimization (ACO), Semnasinotek-2017, UN PGRI, Kediri, pp: 75-81

Hadi Saadat, Power Sistem Analisis, McGraw-Hill, Inc 1999

Jang, J.-S., Sun, C.-T., Mizutani, E., 1997. Neuro-Fuzzy and Soft Computing – A Computational Approach to Learning and Machine Intelligence.Prentice-Hall

Buyung Imawan, Suprima, Yanuangga G Hartlambang, Muhlasin, Optimasi Kecepatan Motor DC Menggunakan Hybrid ANFIS-PID-FA Controller, SENTIA-2016, Polinema, Malang, pp: B15-B20.

Hartanto, Arif Rochmansyah, Tri Siswanto, Hidayatul Nurohmah, Desain Optimasi Kecepatan Motor Induksi Menggunakan Hybrid ANFIS (Adaptive Neuro Fuzzy Inference System) dengan PID-PSO (Proportional Integral Derivative –Particle Swarm Optimiazation) Controller, SENTIA-2016, Polinema, Malang, pp:B44-B48