A recent research presents a smart inverter control method (ICANN) combining Artificial Neural Networks and inverter control to enhance power quality, stability, and efficiency in PV/Wind hybrid microgrids.
As the world races toward a cleaner energy future, engineers are asking: How do we make renewable energy not just clean, but also reliable and high-quality?
Thatβs the question a team of researchers from the University of KwaZulu-Natal tackled in their recent study. Their solution? Combine Artificial Intelligence (AI) with clever inverter control to create smarter microgrids that manage power like a pro. Letβs break it all down. π§ β‘
Microgrids are like mini power systems β they generate, store, and distribute energy independently or alongside the main grid. Perfect for remote areas or backup systems!
A PV/Wind hybrid microgrid blends:
This setup sounds greatβ¦ but renewable energy isnβt always steady. Solar and wind can fluctuate, which messes with power quality β causing voltage swings, frequency drops, and other annoying issues for connected devices. β οΈ
Thatβs where intelligent control systems step in.
To solve these problems, the researchers developed ICANN β a hybrid method that combines:
Think of ICANN as the autopilot for the microgrid, constantly adjusting based on real-time conditions. βοΈπ‘
Letβs simplify the tech magic:
ICANN monitors inputs like:
This regulates:
The ANN uses training data to predict the best control actions. It learns patterns, like:
The system can quickly respond to changes β switching between sources, regulating flow, and keeping everything balanced.
Yes β and hereβs what the researchers found from their MATLAB/Simulink simulations:
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Improved Voltage Stability: The output voltage stayed within 5% of the ideal range even with fluctuating conditions.
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Reduced Harmonics: Total Harmonic Distortion (THD) was kept low β ensuring cleaner power.
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Smooth Power Flow: ICANN balanced power between PV, wind, and battery storage efficiently.
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Quick Recovery: After voltage dips or spikes, the system stabilized in under a second.
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Better Load Handling: It dynamically adapted when energy demand changed.
In short: ICANN makes microgrids smarter, more stable, and more reliable β even in tricky weather conditions. βοΈπ§οΈπͺοΈ
This is just the beginning. The researchers envision AI-powered microgrids playing a key role in:
π Universal Clean Energy Access: Especially in rural areas where traditional grids canβt reach.
π° Lower Energy Costs: By reducing waste and improving efficiency.
π± Sustainability Goals: Helping achieve affordable and clean energy for all.
π‘οΈ Disaster Resilience: Autonomous control systems can keep power flowing even when the main grid fails.
π€ Energy Trading: In the future, homes and buildings could trade excess solar power using intelligent microgrids.
The ICANN method is more than just a clever acronym. Itβs a blueprint for a future where AI helps manage the chaos of renewable energy, ensuring smooth, high-quality power even when the wind stops blowing or the sun hides behind clouds.
This study proves that by blending engineering expertise with machine learning, we can unlock a new era of smart, green, and resilient energy systems. ππ‘
β‘οΈ Microgrid - A microgrid is a small, local power network that can operate independently or alongside the main grid β like a self-sufficient energy island for your neighborhood! ποΈπ - More about this concept in the article "Charging Ahead β‘ Smarter Storage Systems for Electric Trucks!".
βοΈ Photovoltaic (PV) - PV stands for Photovoltaic, which is the fancy term for turning sunlight directly into electricity using solar panels. Itβs clean, quiet, and powerful! ππ - More about this concept in the article "Smart Homes, Smarter Grids π‘ π How Cloud Tech is Powering the Future of Residential Energy".
π¬οΈ Wind Turbine - A wind turbine captures wind energy and spins it into electricity β like a giant fan in reverse! The faster the wind blows, the more power it produces. πͺοΈβοΈ - More about this concept in the article "βοΈ Powering the Future: Dynamic Response of Next-Gen Wind Turbines π¬οΈ".
π Battery Storage - Battery storage keeps extra electricity for later, so you can use solar or wind energy even when the sunβs not shining or the windβs not blowing. πΎπ - More about this concept in the article "β‘ The Future of Batteries? Ultrafast Aluminum-Chlorine Power is Here! ππ₯".
π Inverter - An inverter is a device that turns DC (direct current) electricity (from solar/wind) into AC (alternating current) electricity β the kind your appliances use. β‘π - More about this concept in the article "Battling the Invisible Enemy: Reinforcement Learning for Securing Smart Grids πππ‘".
π§ Artificial Neural Network (ANN) - An ANN is a type of artificial intelligence modeled after the human brain that learns from data and helps systems make smart decisions β kind of like giving your power grid a brain! π§ π‘
ποΈ Inverter Control - This is the technique used to manage how inverters work β making sure voltage, frequency, and power flow stay balanced and stable. π οΈπ
π Power Quality - Power quality means how "clean" and reliable your electricity is β free from spikes, drops, or distortions that can mess with devices. π‘β
π Smart Grid - A smart grid is an electricity network enhanced with digital tech and automation β it βthinksβ and responds to changes in real time. π€β‘ - More about this concept in the article "Smart Grids, Greener Earth πβ‘π How AI Helps Small Power Grids Slash COβ Emissions (And Keep the Lights On!)".
π― Maximum Power Point Tracking (MPPT) - MPPT is a method used in solar/wind systems to squeeze out the most energy possible β like tuning your guitar just right for the best sound. πΈπ
Source: Zulu, M.L.T.; Sarma, R.; Tiako, R. Enhancing Power Quality in a PV/Wind Smart Grid with Artificial Intelligence Using Inverter Control and Artificial Neural Network Techniques. Electricity 2025, 6, 35. https://doi.org/10.3390/electricity6020035
From: University of KwaZulu-Natal.