A Novel Multi-agent Mechanism for Managing Electrical Power Smart Grids

Self-reconfiguration in electrical power grids is a significant tool for their planning and operation during both normal and abnormal conditions. The increasing in employment of Intelligent Electronic Devices (IEDs), as well as the rapid growth of the new communication technologies have increased the application of Feeder Automation (FA) in Distribution Networks (DNs). In a Smart Grid (SG), automation equipment, such as a Smart Breaker (SB), is used. Using either a wired or a wireless network or even a combination of both, communication between the Control Center (CC) and SBs can be made. Nowadays, wireless technology is widely used in the communication of DNs. This may cause several security vulnerabilities in the power system, such as remote attacks, with the goal of cutting off the electrical power provided to significant consumers. Therefore, to preserve the cybersecurity of the system, there is a need for a secure scheme. The available literature investments proposed a heavyweight level in security schemes, while the overhead was not considered. To overcome this drawback, this paper presents an efficient lightweight authentication mechanism with the necessary steps to ensure real-time automatic reconfiguration during a fault. As a first stage, authentication will be made between CC and SB, SB then sends the information about its status. To ensure the integrity of the authentication exchange, a hash function is used, while the symmetric algorithm is used to ensure privacy. The applicability of the suggested scheme has been proved by conducting security performance and analysis. The proposed scheme will be injected on ABB medium voltage breaker with the REF 542plus controller. Therefore, the probable benefit of the suggested scheme is the contribution to provide more flexibility for electrical utilities in terms of reducing the overall computational overhead and withstanding to various types of attacks, while also opening new prospects in FA of SGs.

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A Review of the Smart Grid Concept for Electrical Power System

10.4018/978-1-6684-3666-0.ch061 ◽

2022 ◽

pp. 1361-1385

Author(s):

Amam Hossain Bagdadee ◽

Li Zhang

Keyword(s):

Smart Grid ◽

Power Systems ◽

Power System ◽

Electric Power ◽

Smart Grids ◽

Electrical Power ◽

Future Generation ◽

Electric Power Systems ◽

Basic Information ◽

Electrical Power System

The review this article conducts is an extensive analysis of the concept of a smart grid framework with the most sophisticated smart grid innovation and some basic information about smart grid soundness. Smart grids as a new scheme for energy and a future generation framework encourages the expansion of information and progress. The smart grid framework concord will potentially take years. In this article, the focus is on developing smart networks within the framework of electric power systems.

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An Effectiveness Modelling Approach for IoT-Based Smart Grids

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Design, Applications, and Maintenance of Cyber-Physical Systems ◽

10.4018/978-1-7998-6721-0.ch005 ◽

2021 ◽

pp. 92-111

Author(s):

Dongming Fan ◽

Yi Ren ◽

Qiang Feng

Keyword(s):

Smart Grid ◽

Smart Grids ◽

Information Technologies ◽

Self Healing ◽

New Paradigm ◽

Agent Based ◽

Efficient Energy ◽

Real Time Analysis ◽

Multi Agent

The smart grid is a new paradigm that enables highly efficient energy production, transport, and consumption along the whole chain from the source to the user. The smart grid is the combination of classical power grid with emerging communication and information technologies. IoT-based smart grid will be one of the largest instantiations of the IoT in the future. The effectiveness of IoT-based smart grid is mainly reflected in observability, real-time analysis, decision-making, and self-healing. A proper effectiveness modeling approach should maintain the reliability and maintainability of IoT-based smart grids. In this chapter, a multi-agent-based approach is proposed to model the architecture of IoT-based smart grids. Based on the agent framework, certain common types of agents are provided to describe the operation and restoration process of smart grids. A case study is demonstrated to model an IoT-based smart grid with restoration, and the interactive process with agents is proposed simultaneously.

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Vehicle Electrification: New Challenges and Opportunities for Smart Grids

Energies ◽

10.3390/en12010118 ◽

2018 ◽

Vol 12 (1) ◽

pp. 118 ◽

Cited By ~ 11

Author(s):

Vitor Monteiro ◽

Jose Afonso ◽

Joao Ferreira ◽

Joao Afonso

Keyword(s):

Power Electronics ◽

Smart Grids ◽

New Technologies ◽

Renewable Energy Sources ◽

Grid Point ◽

Electrical Power ◽

Point Of View ◽

Power Grids ◽

Challenges And Opportunities ◽

New Challenges

Nowadays, concerns about climate change have contributed significantly to changing the paradigm in the urban transportation sector towards vehicle electrification, where purely electric or hybrid vehicles are increasingly a new reality, supported by all major automotive brands. Nevertheless, new challenges are imposed on the current electrical power grids in terms of a synergistic, progressive, dynamic and stable integration of electric mobility. Besides the traditional unidirectional charging, more and more, the adoption of a bidirectional interconnection is expected to be a reality. In addition, whenever the vehicle is plugged-in, the on-board power electronics can also be used for other purposes, such as in the event of a power failure, regardless if the vehicle is in charging mode or not. Other new opportunities, from the electrical grid point of view, are even more relevant in the context of off-board power electronics systems, which can be enhanced with new features as, for example, compensation of power quality problems or interface with renewable energy sources. In this sense, this paper aims to present, in a comprehensive way, the new challenges and opportunities that smart grids are facing, including the new technologies in the vehicle electrification, towards a sustainable future. A theoretical analysis is also presented and supported by experimental validation based on developed laboratory prototypes.

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