Multi-agent energy-adaptive automation systems: Architecture and implementation

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master_Zhukovskii_Kirill_2025.pdf (5.67 MB)

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School of Electrical Engineering | Master's thesis
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Date

2025-05-09

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Major/Subject

Control, Robotics and Autonomous Systems

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Degree programme

Master's Programme in Automation and Electrical Engineering

Language

en

Pages

64

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Abstract

This thesis presents a flexible multi-agent framework for energy-adaptive control and optimisation in industrial automation systems. The proposed hybrid architecture combines high-level optimisation at the IT layer with decentralised, consensus-based control at the OTlayer, ensuring both long-term efficiency and real-time responsiveness. The framework was validated through modelling, simulation, and real-case experiments on a conveyor system and a vertical farm. In both cases, the system effectively managed energy allocation, handled nonlinear and time-sensitive processes, and integrated environmental and operational constraints. Additionally, demand-side management strategies and ancillary service participation were also evaluated. Results confirm that the architecture is scalable, vendor-agnostic, and adaptable to various industrial scenarios, offering a strong foundation for next-generation energy-aware control systems.

Description

Supervisor

Vyatkin, Valeriy

Thesis advisor

Ovsiannikova, Polina

Keywords

multi-agent system, industrial automation, energy flexibility, IT/OT integration, demand-side management, decentralised control

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https://urn.fi/URN:NBN:fi:aalto-202506275308

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