Hands-On Training on AI-Based Power System Decision Using MATLAB and Simulink

On 12 June 2026, the Centre of Excellence for Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), successfully organized a one-day Hands-On Training on AI-Based Power System Decision Using MATLAB and Simulink at the Power System Analysis Laboratory, FKTE. I had the privilege of serving as the trainer for this program, which attracted participants interested in artificial intelligence applications in power systems.

The training was designed to provide participants with both theoretical knowledge and practical experience in integrating Artificial Intelligence (AI) techniques into power system analysis and decision-making. Throughout the session, participants were introduced to the fundamentals of machine learning and neural networks, followed by hands-on exercises using MATLAB and Simulink.

The workshop covered several important topics, including power system modeling and simulation, fault analysis, system performance evaluation, neural network development, and AI-assisted decision-making. Participants were guided step-by-step in developing AI models and applying them to solve engineering problems related to power systems.

One of the key objectives of the training was to bridge the gap between conventional power system analysis and emerging AI technologies. As power systems become increasingly complex with the integration of renewable energy resources, advanced data-driven approaches are becoming essential for improving system reliability, efficiency, and operational decision-making.

The interactive nature of the workshop enabled participants to gain valuable practical experience through simulation exercises, discussions, and problem-solving activities. 

I would like to express my sincere appreciation to CERE, FKTE, and UniMAP for their continuous support. Special thanks are also extended to all participants for their commitment and engagement throughout the day.

It is my hope that the knowledge and skills gained from this workshop will assist participants in their future research, academic activities, and professional careers, particularly in the rapidly evolving fields of Artificial Intelligence, Renewable Energy, and Smart Power Systems.

🎓 Opportunity for Master’s & PhD Studies in Power System Protection ⚡

Are you passionate about advancing your expertise in power system protection, fault location, or related areas in electrical power engineering?

I am currently welcoming prospective Master’s and PhD candidates, especially working professionals from the industry, who are interested in pursuing postgraduate studies and engaging in impactful research.

💡 If you are currently facing real industrial problems related to these areas, you are highly encouraged to bring them forward. These challenges can be expanded and developed into meaningful Master’s or PhD research topics, ensuring your study is practical, relevant, and industry-driven.

This is a great opportunity to:

✔️ Deepen your technical knowledge in protection systems

✔️ Work on real-world, industry-based problems

✔️ Collaborate on innovative solutions for modern power systems

🛠️ Available expertise & tools:

• MATLAB/Simulink

• ATPDraw (EMTP)

• Arduino-based prototyping

• ETAP for power system studies

If you are interested or would like to discuss potential research topics, feel free to reach out:

📧 Email: hafiziidris@unimap.edu.my

📱 Phone: +60134885657

Let’s connect and explore how we can work together towards advancing the future of power systems.

Some of my past researchs/publications:

1. Enhanced Standalone Distance Relay by Removing DC Component and Eliminating Fault Resistance Effect

2. Effect of Load Variation and Fault Resistance on the Operation Time of IDMT Overcurrent Relay

3. Neural Network based Transmission Line Fault Classifier and Locator using Sequence Values

4. Differential equation fault location algorithm with harmonic effects in power system

5. Enhanced two-terminal impedance-based fault location using sequence values

6. Wireless IoT based Overcurrent Relay for Transmission Line Protection

7. Two-terminal fault detection and location for hybrid transmission circuit

8. Auto-Reclose Relay Simulation for Education & Research

9. Arcing fault diagnosis using first peak arrival of EM radiation signal

10. Fault Localization and Detection in Medium Voltage Distribution Network Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

11. Effect of Distributed Generation to the Faults in Medium Voltage Network Using ATP-EMTP Simulation

12. Evaluation of Denoising Performance for Noisy Arc Fault Signal Based on Mother Wavelet Selection

13. Combination effects of fault resistance and remote in feed current on simple impedance based fault location

14. Wide Area Fault Location for Power Transmission Network using Reactance Based Method

15. Effective Two-Terminal Single Line to Ground Fault Location Algorithm

16. The Effects of Different Load Power Factors on the Performance of Distance Relay

17. The Effect of Harmonic Distortion on the Performance of Differential Relay for Distribution Transformer Protection

18. Adaptive Mho Type Distance Relaying Scheme with Fault Resistance Compensation