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

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.

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Extending a Trust model for Energy Trading with Cyber-Attack Detection

Electronics ◽

10.3390/electronics10161975 ◽

2021 ◽

Vol 10 (16) ◽

pp. 1975

Author(s):

Rui Andrade ◽

Sinan Wannous ◽

Tiago Pinto ◽

Isabel Praça

Keyword(s):

Supervised Classification ◽

Trust Model ◽

Attack Detection ◽

Energy Market ◽

Local Energy ◽

Multi Agent System ◽

Cyber Attack ◽

Energy Trading ◽

Detection Model ◽

Multi Agent

This paper explores the concept of the local energy markets and, in particular, the need for trust and security in the negotiations necessary for this type of market. A multi-agent system is implemented to simulate the local energy market, and a trust model is proposed to evaluate the proposals sent by the participants, based on forecasting mechanisms that try to predict their expected behavior. A cyber-attack detection model is also implemented using several supervised classification techniques. Two case studies were carried out, one to evaluate the performance of the various classification methods using the IoT-23 cyber-attack dataset; and another one to evaluate the performance of the developed trust mode.

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A Quantifiable Trust Model for Multi-agent System Based on Equal Relations

2007 International Conference on Computational Intelligence and Security (CIS 2007) ◽

10.1109/cis.2007.213 ◽

2007 ◽

Cited By ~ 3

Author(s):

Li Li ◽

Hao Li ◽

Gehao Lu ◽

ShaoWen Yao

Keyword(s):

Trust Model ◽

Multi Agent System ◽

Agent System ◽

Multi Agent

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Management of Distributed Energy Resources Using Intelligent Multi-Agent System

Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies ◽

10.4018/978-1-60566-898-7.ch012 ◽

2010 ◽

pp. 208-231 ◽

Cited By ~ 3

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.

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Findings and Discussions on the Neural Trust and Multi-Agent System

Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts - Advances in Information Quality and Management ◽

10.4018/978-1-5225-1884-6.ch020 ◽

2017 ◽

pp. 344-366

Author(s):

Gehao Lu ◽

Joan Lu

Keyword(s):

Learning Algorithms ◽

Estimation Algorithm ◽

Trust Model ◽

Multi Agent System ◽

Model Design ◽

Agent System ◽

Detailed Design ◽

Multi Agent ◽

Reputation Mechanisms

This chapter focuses on the testing for a complete systematic neural trust model developed previously based on the trust learning algorithms, trust estimation algorithm and reputation mechanisms. The focus is to describe the detailed design of the model and explain the rationales behind the model design. The purpose is to evaluate the proposed neural trust model from different aspects and analyze the results of the evaluations. Experiments have been conducted. Results are presented and discussed. Finally, based on the analysis and comparison of acquired results, conclusions are drawn.

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On assessment of the impact of man-made Forestry transport on the environment

Voronezh Scientific-Technical Bulletin ◽

10.12737/14026 ◽

2015 ◽

Vol 4 (3) ◽

pp. 131-143

Author(s):

Сушков ◽

Oleg Sushkov

Keyword(s):

Multi Agent System ◽

Agent System ◽

Multi Agent ◽

The Impact

This article describes a system designed to support the analytical activities of forestry enterprises, substantiated the choice of multi-agent system.

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A Multi-Agent Control for Energy Management in PV/Wind/Fuel Cell/Battery Hybrid Power System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.573.235 ◽

2014 ◽

Vol 573 ◽

pp. 235-241

Author(s):

T. Bogaraj ◽

J. Kanakaraj ◽

C. Maria Jenisha

Keyword(s):

Renewable Energy ◽

Fuel Cell ◽

Power System ◽

Energy Management ◽

Renewable Energy Sources ◽

Multi Agent System ◽

Agent System ◽

Hybrid Power System ◽

Hybrid Power ◽

Multi Agent

The usage of renewable energy systems increases worldwide due to extinction of conventional sources and also the absence of some serious environmental effects such as global warming, ozone layer depletion etc. These renewable power systems are not able to satisfy the load continuously due to seasonal availability of the resources. A Hybrid Power System (HPS) formed with renewable energy sources are a solution to provide power for stand-alone electrical loads. However, the energy management in HPS is quite complex as it relies on a central controller. This paper proposes a distributed Energy Management System (EMS) to control the energy flow in the PV/Wind/Fuel Cell/Battery HPS based on multi-agent system (MAS) technology. With this concept, a HPS is seen as a collection of different elements called agents, collaborates to reach a global coordination to satisfy the demand in the system. The Algorithm of the Multi-Agent System technique for HPS has been implemented using MATLAB/Simulink environment. The results show that the algorithm is effectively working for a HPS to provide power to the load and control power flow between various elements of the system.

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