scholarly journals Applications of Multi-Agent Technology to Power Systems

2005 ◽  
Vol 125 (3) ◽  
pp. 255-258 ◽  
Author(s):  
Takeshi Nagata
Keyword(s):  
Power Systems ◽  
Agent Technology ◽  
Multi Agent

Facilitating Decision Making and Maintenance for Power Systems Operators through the Use of Agents and Distributed Embedded Systems

2012 ◽  
pp. 240-255
Author(s):  
A. Carrasco ◽  
M. C. Romero-Ternero ◽  
F. Sivianes ◽  
M. D. Hernández ◽  
D. I. Oviedo ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Power Systems ◽  
Facility Management ◽  
Agent Technology ◽  
Distributed Embedded Systems ◽  
Agent Based ◽  
Electric Sector ◽  
Pilot Experience ◽  
Multi Agent ◽  
Fundamental Objective

This article examines the improvements provided when multimedia information in traditional SCADAS are included in electric facility management and maintenance. Telecontrol use in the electric sector, with the fundamental objective of providing increased and improved service to the operators who manage these systems, is also described. One of the most important contributions is the use of an agent network that is distributed around the electric facility. Through the use of multi-agent technology and its placement in embedded systems, to the authors design a system with a degree of intelligence and independence to optimize data collection and provide reaction proposals for the operator. The proposed agent-based architecture is also reviewed in this article, as are the design of an example agent and the results obtained in a pilot experience using the proposed hardware platform.

Facilitating Decision Making and Maintenance for Power Systems Operators through the Use of Agents and Distributed Embedded Systems

2010 ◽  
Vol 6 (4) ◽  
pp. 1-16 ◽  
Author(s):  
A. Carrasco ◽  
M. C. Romero-Ternero ◽  
F. Sivianes ◽  
M. D. Hernández ◽  
D. I. Oviedo ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Power Systems ◽  
Facility Management ◽  
Agent Technology ◽  
Distributed Embedded Systems ◽  
Hardware Platform ◽  
Agent Based ◽  
Electric Sector ◽  
Multi Agent ◽  
Fundamental Objective

This article examines the improvements provided when multimedia information in traditional SCADAS are included in electric facility management and maintenance. Telecontrol use in the electric sector, with the fundamental objective of providing increased and improved service to the operators who manage these systems, is also described. One of the most important contributions is the use of an agent network that is distributed around the electric facility. Through the use of multi-agent technology and its placement in embedded systems, to the authors design a system with a degree of intelligence and independence to optimize data collection and provide reaction proposals for the operator. The proposed agent-based architecture is also reviewed in this article, as are the design of an example agent and the results obtained in a pilot experience using the proposed hardware platform.

Web remote ideological and political education system constructed by using agent technology

2021 ◽  
pp. 1-10
Author(s):  
Xiangyong Li
Keyword(s):  
Web Service ◽  
Education System ◽  
System Integration ◽  
Organization Structure ◽  
Ideological And Political Education ◽  
Political Education ◽  
Agent Technology ◽  
Service Process ◽  
Efficient Operation ◽  
Multi Agent

In order to improve the effect of remote ideological and political education, this paper builds a Web ideological and political education system based on Agent technology, and adopts a three-layer abstract system architecture including Web service layer, Agent processing layer and service process layer. Moreover, based on this architecture foundation, this paper proposes an Agent-based Web service integration structure, and illustrates the overall execution process of the system through the execution process of the system integration structure. Then, this paper proposes the organization structure of multi-agent in the Agent processing layer and the organization structure of service process in the service process layer of the system. In addition, this paper uses multi-agent system design to ensure the efficient operation of the entire system, and combines algorithms to implement system resource recommendation modules and practical teaching functions. Finally, this paper designs a control experiment to test the performance of the distance ideological and political education system constructed in this paper. The research results show that the system constructed in this paper has certain practical effects.

scholarly journals Distributed Learning Applications in Power Systems: A Review of Methods, Gaps, and Challenges

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3654
Author(s):  
Nastaran Gholizadeh ◽  
Petr Musilek
Keyword(s):  
Machine Learning ◽  
Power Systems ◽  
Learning Algorithm ◽  
Single Point ◽  
Distributed Learning ◽  
Large Data ◽  
Multi Agent Systems ◽  
Power Quality Monitoring ◽  
Multi Agent ◽  
Learning Frameworks

In recent years, machine learning methods have found numerous applications in power systems for load forecasting, voltage control, power quality monitoring, anomaly detection, etc. Distributed learning is a subfield of machine learning and a descendant of the multi-agent systems field. Distributed learning is a collaboratively decentralized machine learning algorithm designed to handle large data sizes, solve complex learning problems, and increase privacy. Moreover, it can reduce the risk of a single point of failure compared to fully centralized approaches and lower the bandwidth and central storage requirements. This paper introduces three existing distributed learning frameworks and reviews the applications that have been proposed for them in power systems so far. It summarizes the methods, benefits, and challenges of distributed learning frameworks in power systems and identifies the gaps in the literature for future studies.

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