Optimization of Advanced Metering Infrastructure (AMI) Customer Ecosystem by Using Analytic Hierarchy Process Method

Ashari, Soleh; Setiawan, Eko Adhi

doi:10.1109/icsmartgrid55722.2022.9848639

Cited by 2 publications

(1 citation statement)

References 65 publications

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“…Second, research on the use of the analytical hierarchy process (AHP) to solve multicriteria decision-making (MCDM) problems in the context of cybersecurity in smart grids is relatively limited, as AHP is not commonly associated with cybersecurity specifically. However, AHP is a widely used decision-making tool that can be applied to various domains-such as renewable energy integration [88], the performance of residential energy management control algorithms [89], a day-ahead scheduling of electric vehicles and electrical storage systems in smart homes [90], optimization of the advanced metering infrastructure (AMI) customer ecosystem [91], including cybersecurity [92,93]. Therefore, the optimal cybersecurity options for smart grids, such as access control, authentication, encryption, intrusion detection systems (IDS), firewalls, security information and event management (SIEM), and others, need to be evaluated based on multiple criteria.…”

Section: Knowledge Gapsmentioning

confidence: 99%

Cyberattacks in Smart Grids: Challenges and Solving the Multi-Criteria Decision-Making for Cybersecurity Options, Including Ones That Incorporate Artificial Intelligence, Using an Analytical Hierarchy Process

Bouramdane

2023

JCP

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Smart grids have emerged as a transformative technology in the power sector, enabling efficient energy management. However, the increased reliance on digital technologies also exposes smart grids to various cybersecurity threats and attacks. This article provides a comprehensive exploration of cyberattacks and cybersecurity in smart grids, focusing on critical components and applications. It examines various cyberattack types and their implications on smart grids, backed by real-world case studies and quantitative models. To select optimal cybersecurity options, the study proposes a multi-criteria decision-making (MCDM) approach using the analytical hierarchy process (AHP). Additionally, the integration of artificial intelligence (AI) techniques in smart-grid security is examined, highlighting the potential benefits and challenges. Overall, the findings suggest that “security effectiveness” holds the highest importance, followed by “cost-effectiveness”, “scalability”, and “Integration and compatibility”, while other criteria (i.e., “performance impact”, “manageability and usability”, “compliance and regulatory requirements”, “resilience and redundancy”, “vendor support and collaboration”, and “future readiness”) contribute to the evaluation but have relatively lower weights. Alternatives such as “access control and authentication” and “security information and event management” with high weighted sums are crucial for enhancing cybersecurity in smart grids, while alternatives such as “compliance and regulatory requirements” and “encryption” have lower weighted sums but still provide value in their respective criteria. We also find that “deep learning” emerges as the most effective AI technique for enhancing cybersecurity in smart grids, followed by “hybrid approaches”, “Bayesian networks”, “swarm intelligence”, and “machine learning”, while “fuzzy logic”, “natural language processing”, “expert systems”, and “genetic algorithms” exhibit lower effectiveness in addressing smart-grid cybersecurity. The article discusses the benefits and drawbacks of MCDM-AHP, proposes enhancements for its use in smart-grid cybersecurity, and suggests exploring alternative MCDM techniques for evaluating security options in smart grids. The approach aids decision-makers in the smart-grid field to make informed cybersecurity choices and optimize resource allocation.

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Section: Knowledge Gapsmentioning

confidence: 99%

Cyberattacks in Smart Grids: Challenges and Solving the Multi-Criteria Decision-Making for Cybersecurity Options, Including Ones That Incorporate Artificial Intelligence, Using an Analytical Hierarchy Process

Bouramdane

2023

JCP

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Strategic Energy Trading Among Prosumers in a Smart Grid

Roana,

Boscolo,

Crosara

et al. 2023

2023 11th International Conference on Smart Grid (icSmartGrid)

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A smart grid (SG) is a network of interconnected nodes that can generate, consume, and share energy. In this paper, we consider a game theoretic approach to its management aimed to balance the monetary and energy transactions between users. We analyze the efficiency of the proposed approach for a smart grid consisting of a set of prosumers connected to an energy router that manages energy and monetary transactions. We compare our game theoretic approach with alternative strategies available to a prosumer, i.e., to sell, buy or store the energy whenever possible. For each strategy, the monetary outcome was compared, showing some interesting results.

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Optimization of Advanced Metering Infrastructure (AMI) Customer Ecosystem by Using Analytic Hierarchy Process Method

Cited by 2 publications

References 65 publications

Cyberattacks in Smart Grids: Challenges and Solving the Multi-Criteria Decision-Making for Cybersecurity Options, Including Ones That Incorporate Artificial Intelligence, Using an Analytical Hierarchy Process

Cyberattacks in Smart Grids: Challenges and Solving the Multi-Criteria Decision-Making for Cybersecurity Options, Including Ones That Incorporate Artificial Intelligence, Using an Analytical Hierarchy Process

Strategic Energy Trading Among Prosumers in a Smart Grid

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