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Hi, I’m an undergraduate Electrical Engineering student working on my final-year project titled **“ANN-Based Frequency Control of an Islanded Microgrid.”** I’m looking for someone experienced in **MATLAB/Simulink, microgrids, power-system control and ANN-based control** who can help me develop and debug the project. The main requirements are: * Develop/verify an **islanded microgrid model in MATLAB/Simulink** * Implement **frequency control** * Develop a conventional **PI/PID controller** as a baseline * Generate suitable simulation data for ANN training * Design and train an **ANN controller** * Integrate the ANN into the frequency-control loop * Test the system under load disturbances * Compare the performance of the conventional controller and ANN controller using frequency response, settling time, overshoot and steady-state error * Help troubleshoot any MATLAB/Simulink errors I do **not** need someone to simply give me a ready-made project. I want to understand and implement the model myself, so I mainly need **hands-on technical guidance and help with the difficult parts**. If you have previously worked on **islanded microgrids, load-frequency control, ANN controllers, or MATLAB/Simulink**, please share a relevant example of your work. Thank you.
Project ID: 40743281
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7 freelancers are bidding on average ₹1,279 INR for this job

Hello, Since you want to build and understand the model yourself, I’d start with your current Simulink file and the point where progress has stopped. In a guided session, we can trace the frequency-control loop, identify suitable training signals, and set up a fair PI/PID versus ANN comparison using the same load disturbances. You’ll leave with a clear list of steps to implement and test yourself. What is blocking you right now: the microgrid model, ANN training data, or integrating the controller? Kind regards, Mahmoudreza
₹1,250 INR in 5 days
5.0
5.0

Hello Dear, I understand your requirements and have over 10 years of experience in Electrical Engineering and MATLAB/Simulink projects. I have helped many graduate students and PhD scholars with microgrid, power-system control, and ANN-based projects. I can provide hands-on guidance to develop and debug the islanded microgrid, implement PI/PID and ANN frequency controllers. Also i will explain you for each step, so that you can implement and understand the project yourself. I look forward to working with you. Let’s connect in the chatbox for further discussions. Thank You. Dr. Divya.
₹1,000 INR in 2 days
4.2
4.2

have reviewed your project. I want to be transparent about my expertise so we can define a scope that works for you. What I can deliver: Design and train the ANN controller Integrate the ANN into your Simulink frequency control loop Generate training data from your simulation Compare ANN vs PI/PID performance (settling time, overshoot, steady-state error) Troubleshoot Simulink errors Provide hands-on technical guidance What I cannot deliver: Building the islanded microgrid model from scratch Power system dynamics (droop control, inertia, inverter modeling) Load-frequency control theory My recommendation: If you already have (or can build) the islanded microgrid model in Simulink, I can handle everything from ANN design onward. This is my core expertise – I have built ML models (Random Forest, KNN, Decision Tree) and integrated them with optimization pipelines, and I have Simulink experience. If you need the full microgrid model built from scratch, you need a power systems engineer. I can still help with the ANN portion once that model exists. Please let me know your Simulink microgrid status. Best regards, Yakubu Abdullahi
₹1,050 INR in 7 days
3.1
3.1

As an RF and Electronics Engineer with a focus on high-frequency systems, I have developed expertise that aligns perfectly with your project's objectives. Not only do I have extensive hands-on experience with MATLAB/Simulink and power-system control, but I also bring valuable insights from working on various RF projects including microgrid modeling and power-system control design. Beyond just giving you a ready-made project, my main aim is to provide the technical guidance necessary for you to truly understand and implement the model yourself - which is exactly what you're looking for. Through this hands-on approach, I'll help you specifically develop/verify an islanded microgrid model, implement PI/PID controllers, generate simulation data for ANN training, train an ANN controller and successfully integrate it into the frequency-control loop. My experience isn't just limited to getting things done but also extends to effective troubleshooting. You can count on me to solve any MATLAB/Simulink errors that may arise during the project. Additionally, my commitment to delivering optimized and reliable solutions perfectly aligns with your requirements of comparing the baseline controller and ANN controller performance based on frequency response, settling time, overshoot, and steady-state error. Let me put my skills to work for you!
₹2,500 INR in 7 days
2.5
2.5

Hi, I will be happy to help with your ANN-based microgrid frequency-control project. I have a graduate degree in Aerospace Engineering specializing in Dynamics and Control, along with hands-on experience in MATLAB/Simulink, system identification, P/PD/PID controllers, dynamic modeling, and engineering simulation. I can help your project with building and debugging the microgrid model, develop the conventional controller, generate ANN training data, integrate the ANN controller, and compare the results. But I will prefer a hands-on approach where I explain the implementation and will also help you understand each step rather than simply delivering a ready-made project.
₹1,050 INR in 7 days
0.0
0.0

Strong expertise in designing and deploying advanced control algorithms using MATLAB/Simulink, enabling high-performance motor control, efficient energy management, and optimized vehicle dynamics. Proven capability in system-level modeling and simulation, delivering robust, scalable solutions across drivetrain, BMS, and charging architectures aligned with V-cycle development methodologies. Experienced in end-to-end validation frameworks (MIL, SIL, closed-loop simulations), ensuring functional reliability, safety compliance, and seamless transition from model to embedded deployment. Recognized for enhancing computational efficiency and real-time performance through optimized control logic, reduced CPU/memory utilization, and scalable embedded system architectures.
₹1,050 INR in 7 days
0.0
0.0

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