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Adaptive Multiagent Control of Distributed Electrolyzers in Renewable-Powered Microgrids

A.Kh. AbdullaevАlmalyk Branch of Tashkent State Technical University Named After Islam Karimov, Almalyk, UzbekistanSh.A. AbdikadirovTermez State University of Engineering and Agrotechnologies, Termez, UzbekistanSh.A. AbdurakhmonovaTashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, UzbekistanO.V. IvanovAdmiral Ushakov Maritime State University, Novorossiysk, Krasnodar region, Russian FederationI.V. BrovchenkoSaint Petersburg Mining University of Empress Catherine II, Saint Petersburg, Russian FederationKhuzin DinislamBashkir State Medical University, Department of General Chemistry, Ufa, Republic of Bashkortostan, Russia
ABI

Abstract

This study presents the development and validation of an adaptive multi-agent control system for distributed electrolyzers operating within microgrids powered by variable renewable energy sources. Using a network of PEM and alkaline electrolysers equipped with real-time telemetry and programmable power inputs, the researchers simulated dynamic operating conditions, including fluctuating solar generation, temperature variations, and power supply interruptions. A hierarchical agent-based architecture was implemented, comprising local controllers, regional energy brokers, and a central coordination unit, enabling autonomous adjustment to external disturbances. Experimental results demonstrate significant improvements in hydrogen production efficiency, system responsiveness, and load distribution stability. Key performance indicators show a 4.3-percentage-point gain in average energy efficiency (from 67.9% to 72.2%), an 8.7% reduction in specific energy consumption (from 58.3 to 53.2 kWh/kg H₂), a shorter disturbance response (6.2 → 3.9 s), and an 11.4% increase in hourly hydrogen yield. Robust operation was preserved under up to 500 ms communication delays and injected telemetry noise (tested at 5% and 10% levels), while current ripple amplitude decreased from 18.2% to 4.6% relative to the PI baseline. The multi-agent system reduced the current fluctuation amplitude from 18.2% to 4.6% and increased hydrogen generation by 11.4% compared to centralized control schemes. Furthermore, the system maintained stable operation despite up to 10% noise in telemetry data and 500 ms communication delays. The findings confirm that multi-agent control enhances the resilience, scalability, and energy efficiency of decentralized hydrogen production systems, supporting their integration into future smart energy infrastructures.

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