Management of Distributed Energy Resources Using Intelligent Multi-Agent System

2010 ◽  
pp. 208-231 ◽  
Author(s):  
T. Logenthiran ◽  
Dipti Srinivasan
Keyword(s):  
Open Systems ◽  
Agent Technology ◽  
Energy Market ◽  
Multi Agent System ◽  
Distributed Energy ◽  
Agent System ◽  
Market Outcomes ◽  
Rule Based System ◽  
Multi Agent ◽  
Cross Platform

The technology of intelligent Multi-Agent System (MAS) has radically altered the way in which complex, distributed, open systems are conceptualized. This chapter presents the application of multi-agent technology to design and deployment of a distributed, cross platform, secure multi-agent framework to model a restructured energy market, where multi players dynamically interact with each other to achieve mutually satisfying outcomes. Apart from the security implementations, some of the best practices in Artificial Intelligence (AI) techniques were employed in the agent oriented programming to deliver customized, powerful, intelligent, distributed application software which simulates the new restructured energy market. The AI algorithm implemented as a rule-based system yielded accurate market outcomes.

An Adaptive Multi-Agent Environment

2011 ◽  
pp. 1-5
Author(s):  
Rejane Pinheiro ◽  
Elizabeth Furtado
Keyword(s):  
Collaborative Learning ◽  
Learning Objects ◽  
Decision Processes ◽  
Agent Technology ◽  
Artificial Agents ◽  
Multi Agent System ◽  
Agent System ◽  
Cognitive Characteristics ◽  
Construction Of Knowledge ◽  
Multi Agent

This article aims to develop a new environment of collaborative learning, by taking into account the criteria of construction of knowledge by the apprentices and the adaptative management of that knowledge by artificial agents. The multi-agent technology has been chosen due to the possibility of having artificial agents with internal decision processes to help students in the construction of their own projects and enabling learning objects available in accordance with the cognitive characteristics of the students and of their group. In this multi-agent system, exchanges of messages between the agents can occur so that they can perform theirs tasks in the best possible way.

The Application of Multi-Agent Technology in the Fault Diagnosis System of Motor Armature

2011 ◽  
Vol 84-85 ◽  
pp. 106-109
Author(s):  
Su Fei Yang ◽  
Xiao Pin Wu
Keyword(s):  
Fault Diagnosis ◽  
Agent Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Diagnosis System ◽  
Multi Agent ◽  
Fault Diagnosis System

Insufficient welding or bad welding of motor armature is one of the main faults of motor armature. With the help of the application of multi-agent technology in the fault diagnosis system of motor armature to detect insufficient welding or bad welding, the intelligent description of the various faults has been enhanced, also, the capacity of fault diagnosis of the system have been greatly optimized and improved. In this paper, we first analyses the characteristics of the fault of motor armature with insufficient welding or bad welding, by which the characteristics of the fault are identified. Next, we introduces agent and multi-agent system. Finally, the building of fault diagnosis system based on multi-agent technology is discussed.

scholarly journals The Impact of Attacks in LEM and Prevention Measures Based on Forecasting and Trust Models

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 314
Author(s):  
Rui Andrade ◽  
Isabel Praça ◽  
Sinan Wannous ◽  
Sergio Ramos
Keyword(s):  
Renewable Energy Sources ◽  
Trust Model ◽  
Energy Market ◽  
Local Market ◽  
Local Energy ◽  
Multi Agent System ◽  
Security Mechanism ◽  
Agent System ◽  
Multi Agent ◽  
The Impact

In recent years Local Energy Markets (LEM) have emerged as an innovative and versatile energy trade solution. They bring benefits when renewable energy sources are used and are more flexible for consumers. There are, however, security concerns that put the feasibility of the local energy market at risk. One of these security challenges is the integrity of data in the smart-grid that supports the local market. In this article the LEM and the types of attacks that can have a negative impact on it are presented, and a security mechanism based on a trust model is proposed. A case study is elaborated using a multi-agent system called Local Energy Market Multi-Agent System (LEMMAS), capable of simulating the LEM and testing the proposed security mechanism.

An Agent-Based Knowledge Management Framework for Marketing-Mix Decision Making

2015 ◽  
pp. 482-502
Author(s):  
Masoomeh Moradi ◽  
Abdollah Aghaie ◽  
Monireh Hosseini
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Business Environment ◽  
Marketing Mix ◽  
Agent Technology ◽  
Multi Agent System ◽  
Agent System ◽  
Management Framework ◽  
Agent Based ◽  
Multi Agent

Marketing-mix plays an essential role in the competitive business environment. Marketing decision makers constantly need to monitor changes in the environment and organization to make necessary changes. Therefore, a knowledge management system is required to acquire, store, retrieve and use up-to-dated knowledge. Corporations also tend to look for systems assisting them in knowledge management. Agent technology looks set for assisting organizations in collecting, processing and using knowledge with high accuracy, speed and efficiency. This paper proposes a knowledge management framework for marketing-mix decision making through using agent technology. A multi-agent system is deployed to acquire, refine, store, retrieve, present, show and update the related knowledge of marketing-mix decision making. The fuzzy logic is applied by multi-agent system to make decision. Implementation of the proposed system in a car factory indicates that it is efficient and effective in supporting and improving marketing-mix decision making.

Fuzzy-Based Multi-Agent System for Distributed Energy Management in Smart Grids

2016 ◽  
Vol 24 (05) ◽  
pp. 781-803 ◽  
Author(s):  
Bharat Menon Radhakrishnan ◽  
Dipti Srinivasan ◽  
Rahul Mehta
Keyword(s):  
Energy Management ◽  
Smart Grids ◽  
Test System ◽  
Small Scale ◽  
Multi Agent System ◽  
Distributed Energy ◽  
Agent System ◽  
Renewable Sources ◽  
Distributed Energy Management ◽  
Multi Agent

Energy Management Systems have become an imperative aspect of smart grids, owing to the enormous challenges imposed due to real-time pricing, distributed generation and integration of intermittent renewables. Due to the uncertainty associated with renewable sources and prominent fluctuations in the load demand, it is extremely important to maintain the overall energy balance in such grids. In this paper, the distributed energy management is achieved using a Multi-agent System which provides a flexible and reliable solution to control and manage smart grids. Adaptive fuzzy systems are designed to instill intelligent decision making capability in the agents of multi-agent system. When renewable sources are inadequate, the sustainability of the system is not guaranteed and multi-agent system is capable of deciding the mode of operation such that the system reliability and performance is not compromised. The proposed algorithm maintains power balance in the system and also sustains desired values for the State of Charge of storage units in order to guarantee extended battery life. The Energy management system also implements a cost optimization algorithm based on the Particle Swarm Optimization technique, to minimize operating costs and maximize profits earned by the grid. The proposed energy management algorithm is tested and validated on a practical test system which inherits most of the features of a small-scale smart grid.

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