A multi-agent decision approach for optimal energy allocation in microgrid system

Huang, Mengxing; Lin, Xudong; Feng, Zikai; Wu, Di; Shi, Zhiyi

doi:10.1016/j.epsr.2023.109399

Cited by 7 publications

(1 citation statement)

References 23 publications

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“…This approach typically relies on creating a formalized representation of the agents' goals, and the available resources to achieve these goals [21]. Within this framework, agents utilize their internal models to reason about the environment, predict the consequences of their actions, and make informed decisions to achieve their goals [22,23]. On the other hand, the model-based safety approaches are centred on a formalism model of the control system and the safety-related information, followed by a safety analysis of the formal system model [24].…”

Section: Related Workmentioning

confidence: 99%

Safe and Reconfigurable Manufacturing: Safety Aware Multi-Agent Control for Plug & Produce System.

Massouh,

Danielsson,

Lennartson

et al. 2024

Preprint

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Plug & Produce is a concept that is envisioned to revolutionise manufacturing by enabling the seamless integration of machines into production processes without extensive programming, offering increased flexibility, and faster production ramp-up times after reconfiguration. This concept implies a smart and advanced system control architecture typically achieved with Multi-Agent Systems (MAS). In the context of moving towards more human participation in smart manufacturing, the realization of the Plug & Produce concept depends on enabling the safe operation of the manufacturing system which is the focus of this paper. The main challenge to safe operation comes from autonomous decision-making, as agents in the multi-agent system are typically not aware of the risk consequence of their behaviour. Another challenge is the difficulty of perceiving the exact behaviour of the system which leads to the implementation of overly restrictive safety measures. This in turn limits the system’s flexibility and ability to make decisions for efficient production. This paper proposes a method utilizing multi-agent control of Plug & Produce to conduct automatic safety analysis and reason the task allocations to avoid risks. The benefit of this method is it enables generating control actions in compliance with safety requirements during operation. Also, the method eliminates the need for overly restrictive safety measures, this flexibility allows for more effective utilization of equipment while maintaining safety requirements. Illustrated through a manufacturing scenario with two different reconfigurations, safety requirements are proven satisfied by the formal verification of the proposed method using the model checker NuSMV. The formal verification results confirm the benefits of the proposed method.

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Section: Related Workmentioning

confidence: 99%

Safe and Reconfigurable Manufacturing: Safety Aware Multi-Agent Control for Plug & Produce System.

Massouh,

Danielsson,

Lennartson

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Safe and reconfigurable manufacturing: safety aware multi-agent control for Plug & Produce system

Massouh,

Danielsson,

Lennartson

et al. 2024

Int J Adv Manuf Technol

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Plug & Produce aims to revolutionize manufacturing by enabling seamless machine integration into production processes without extensive programming. This concept, leveraging multi-agent systems (MAS), offers increased flexibility and faster production ramp-up times after reconfiguration. As automated manufacturing moves towards greater human integration, this paper addresses safe operation within the Plug & Produce concept. The main safety challenge arises from autonomous decision-making, as agents in the MAS lack awareness of the risk consequences of their behavior. Additionally, the difficulty of perceiving the system’s exact behavior leads to the implementation of overly restrictive safety measures. This limits the system’s flexibility and ability to make decisions for efficient production. This paper proposes a method utilizing multi-agent control to conduct automatic safety analysis and reason task allocations to avoid risks. The method’s benefits are the generation of control actions that comply with safety requirements during operation, eliminating the need for overly restrictive safety measures and allowing more effective equipment utilization. The method’s benefit is illustrated through a manufacturing scenario with two different configurations: one using a hazardous machine and the other using a less hazardous one. Formal verification using the model checker NuSMV demonstrated that safety requirements were satisfied in both configurations, without the need for manual modifications of the safety control system after reconfiguration. The results for this specific manufacturing scenario showed that there are more reachable states (20 states) in the safer second configuration, compared to the first configuration (16 states). This means that the presented control strategy dynamically adjusts the system’s behavior to confirm safety. Hence, this method maintains safety without fixed safety rules that limit the operations.

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Assessment-prediction-regulation coordinated secondary control strategy for microgrid considering large time-delay

Yuan,

Lu,

Chen

et al. 2023

Electric Power Systems Research

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A multi-agent decision approach for optimal energy allocation in microgrid system

Cited by 7 publications

References 23 publications

Safe and Reconfigurable Manufacturing: Safety Aware Multi-Agent Control for Plug & Produce System.

Safe and Reconfigurable Manufacturing: Safety Aware Multi-Agent Control for Plug & Produce System.

Safe and reconfigurable manufacturing: safety aware multi-agent control for Plug & Produce system

Assessment-prediction-regulation coordinated secondary control strategy for microgrid considering large time-delay

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A multi-agent decision approach for optimal energy allocation in microgrid system

Cited by 7 publications

References 23 publications

Safe and Reconfigurable Manufacturing: Safety Aware Multi-Agent Control for Plug &amp; Produce System.

Safe and Reconfigurable Manufacturing: Safety Aware Multi-Agent Control for Plug &amp; Produce System.

Safe and reconfigurable manufacturing: safety aware multi-agent control for Plug & Produce system

Assessment-prediction-regulation coordinated secondary control strategy for microgrid considering large time-delay

Contact Info

Product

Resources

About

Safe and Reconfigurable Manufacturing: Safety Aware Multi-Agent Control for Plug & Produce System.

Safe and Reconfigurable Manufacturing: Safety Aware Multi-Agent Control for Plug & Produce System.