TAQA: AI Microgrid Controller

What it does

TAQA brings reliable electricity to underserved remote communities. Our AI predicts power failures 2-5 seconds early, protects microgrids in under 5ms, and enables direct energy trading through blockchain, eliminating costly intermediaries.

Your inspiration

Growing up in Morocco, I was unable to study after sunset, clinics were without power for vaccines, small businesses were failing due to unreliable energy access. Traditional grid systems waste 15% of energy through transmission losses while struggling to integrate renewable sources. The 2021 Texas winter storm and global energy crisis highlighted how centralized grids fail during emergencies. I realized AI could predict instabilities before they cascade into blackouts, while blockchain could enable communities to trade energy directly, creating resilient decentralized microgrids that keep power flowing when the main grid fails.

How it works

TAQA employs a novel Grid Instability Index (GII) - a proprietary 0-100% risk score calculated by three AI models: Random Forest predicts stability patterns, Isolation Forest detects anomalies, and GPT analyzes external factors. When GII exceeds thresholds (>80% triggers emergency islanding, 60-80% activates load shedding), cryptographically verified smart contracts execute protective actions within 5ms. The system monitors frequency, voltage, power flows, and battery states at 1kHz sampling rate. Our TAQA blockchain token enables automatic peer-to-peer energy trading with tiered pricing: solar energy at 0.4 TAQA/kWh, grid energy at 1.0 TAQA/kWh. All decisions are immutably recorded for audit trails.

Design process

Development began with analyzing 10,000 grid failure scenarios to train our AI ensemble. Initial breadboard prototypes proved concept feasibility. We then built IoT sensor networks using clamp-on transformers and developed the proprietary GII algorithm through iterative testing. The blockchain integration required creating novel AI-to-smart contract bridges for autonomous execution. Our Morocco field trial with 50kW solar installation demonstrated 2.27-year payback period and achieved 99.8% system availability. Current prototype features real-time dashboard showing live grid parameters, AI predictions, and blockchain transactions. We've also filed UK patent applications. Recent improvements include GPT integration for predictive maintenance and sub-2ms AI inference optimization.

How it is different

Existing grid protection systems are reactive, binary (OK/FAULT), and take 50-100ms to respond. TAQA is predictive, quantitative (0-100% risk), and responds in <5ms - 340% faster. Traditional blockchain energy platforms only record transactions; TAQA enables autonomous AI decision-making through smart contracts. Our proprietary GII algorithm outperforms conventional frequency-based protection with <2% false positives versus industry standard 15%. Unlike centralized SCADA systems monitoring single parameters, TAQA analyzes multi-dimensional risk factors impossible with traditional systems. We're the first to achieve cryptographically verified AI-to-blockchain communication for autonomous grid control.

Future plans

Phase 1: Complete UK patent prosecution and secure seed funding for commercial pilot projects. Phase 2: Deploy systems across 10 industrial microgrids to validate scalability and refine algorithms. Phase 3: Launch TAQA as a service platform enabling communities to create energy-independent microgrids. Target markets include remote communities, industrial facilities, and developing nations with unreliable grids. Long-term vision: democratize energy access through AI-powered, blockchain-verified microgrids that eliminate transmission losses and enable true energy independence.

Awards

UK Patent Pending (GB2508159.7) - Pending examination under Green Channel fast-track processing for environmental innovations.