Scale Prototype Ring Main Unit for the Measurement and Control of Nodes in a Smart Grid

Smart grids are playing a key role in modern electric power grids, improving load control, assuring safer operations and collecting valuable information of the electrical conditions of the grid. In a smart grid, a RTU (Remote Terminal Unit) is a device that is able to measure the electric variables of the grid and sends all the information to a MTU (Master Terminal Unit), which is responsible of controlling the operations of the grid. RMU (Ring Main Unit) devices are used in electric power grids to protect loads and to disconnect them in case of failure to prevent damage. This article presents the design of a special RMU capable of measuring voltage, current and frequency, detecting electric faults, and making automatic self-healing in order to manage the flow of energy in the smart grid to guarantee energy supply to the critical loads (hospitals). The RMU devices were installed on a scaled smart grid in order to show its operation capabilities.

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Authentication of Smart Grid

Cryptography ◽

10.4018/978-1-7998-1763-5.ch015 ◽

2020 ◽

pp. 257-276

Author(s):

Melesio Calderón Muñoz ◽

Melody Moh

Keyword(s):

Smart Grid ◽

Communication Networks ◽

Smart Grids ◽

Mesh Networks ◽

Quantum Computer ◽

Electrical Power ◽

Public Key Cryptography ◽

Power Grids ◽

Public Key ◽

Self Healing

The electrical power grid forms the functional foundation of our modern societies, but in the near future our aging electrical infrastructure will not be able to keep pace with our demands. As a result, nations worldwide have started to convert their power grids into smart grids that will have improved communication and control systems. A smart grid will be better able to incorporate new forms of energy generation as well as be self-healing and more reliable. This paper investigates a threat to wireless communication networks from a fully realized quantum computer, and provides a means to avoid this problem in smart grid domains. We discuss and compare the security aspects, the complexities and the performance of authentication using public-key cryptography and using Merkel trees. As a result, we argue for the use of Merkle trees as opposed to public key encryption for authentication of devices in wireless mesh networks (WMN) used in smart grid applications.

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Authentication of Smart Grid

Security Solutions and Applied Cryptography in Smart Grid Communications - Advances in Information Security, Privacy, and Ethics ◽

10.4018/978-1-5225-1829-7.ch007 ◽

2016 ◽

pp. 117-136

Author(s):

Melesio Calderón Muñoz ◽

Melody Moh

Keyword(s):

Smart Grid ◽

Communication Networks ◽

Smart Grids ◽

Mesh Networks ◽

Quantum Computer ◽

Electrical Power ◽

Public Key Cryptography ◽

Power Grids ◽

Public Key ◽

Self Healing

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Game Theoretic Honeypot Deployment in Smart Grid

Sensors ◽

10.3390/s20154199 ◽

2020 ◽

Vol 20 (15) ◽

pp. 4199

Author(s):

Panagiotis Diamantoulakis ◽

Christos Dalamagkas ◽

Panagiotis Radoglou-Grammatikis ◽

Panagiotis Sarigiannidis ◽

George Karagiannidis

Keyword(s):

Smart Grid ◽

Smart Grids ◽

Repeated Game ◽

Cyber Attacks ◽

Power Grids ◽

Self Healing ◽

Security Challenges ◽

Game Theoretic ◽

Use Of Internet ◽

The Impact

The smart grid provides advanced functionalities, including real-time monitoring, dynamic energy management, advanced pricing mechanisms, and self-healing, by enabling the two-way flow of power and data, as well as the use of Internet of Things (IoT) technologies and devices. However, converting the traditional power grids to smart grids poses severe security challenges and makes their components and services prone to cyber attacks. To this end, advanced techniques are required to mitigate the impact of the potential attacks. In this paper, we investigate the use of honeypots, which are considered to mimic the common services of the smart grid and are able to detect unauthorized accesses, collect evidence, and help hide the real devices. More specifically, the interaction of an attacker and a defender is considered, who both optimize the number of attacks and the defending system configuration, i.e., the number of real devices and honeypots, respectively, with the aim to maximize their individual payoffs. To solve this problem, game theoretic tools are used, considering an one-shot game and a repeated game with uncertainty about the payoff of the attacker, where the Nash Equilibrium (NE) and the Bayesian NE are derived, respectively. Finally, simulation results are provided, which illustrate the effectiveness of the proposed framework.

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