Mehran Hajiaghapour‐Moghimi, Kamyar Azimi Hosseini, Ehsan Hajipour, Mehdi Vakilian
Abstract In recent years, the mining of cryptocurrencies such as Bitcoin has attracted much global attention due to the simplicity and high profitability of this business, especially in countries with low electricity rates. The process of cryptocurrency mining using cryptocurrency mining devices requires a significant amount of computing power. This industry, which is increasingly growing in energy and carbon emissions, can cause environmental concerns. Common ways to reduce this amount of energy consumption are to prohibit mining and charge these loads at a higher electricity rate; however, these solution methods are not feasible and applicable in many countries. This paper presents an energy efficiency program to persuade the customers to mine cryptocurrency using high‐efficient cryptocurrency mining devices (CMDs), including informative, regulation, and financial policy instruments. This energy efficiency approach suggests a standard, if implemented, would ban the application of inefficient CMDs, and would encourage the cryptocurrency miners to improve the profitability of their business with high‐efficient CMDs through a penalty‐reward strategy. The performance of this energy efficiency program is studied through an analysis of data gathered from different CMDs used in Iran. The effectiveness of this suggested program is proved through its sufficient incentives for miners using high‐efficient CMDs.
As a powerful tool for building framework and autonomous system across various domains, smart contracts are used to maintain security analysis in a better way. However, owing to the decentralised structure of the blockchain on which they are built, a number of concerns have surfaced about weaknesses in their programming, that according to their unique characteristics, might have (and have already had) a very large economic effect. This essay surveys the whole scope of smart contract security issues and the cutting edge of freely accessible security software.
Due to the high integration of wireless communication and networking technologies, the communication-based train control (CBTC) systems are exposed to additional cyber-attack surfaces, allowing sophisticated attackers to combine cyber attack vectors with physical attack means to achieve malicious goals. Notably, the decentralized authentication features are missing in existing communication protocols which make the CBTC be easily compromised by data tampering attacks, and lead to serious operational accidents. With outstanding advantages in decentralized authentication, blockchain provides new effective solutions for decentralized identity authentication in CBTC. Consequently, it is critical to study the complex physical consequences of cyber breaches from a cross-layer defense perspective. In this paper, we propose a novel cross-layer defense method for cyber security in blockchain empowered CBTC against data tampering attacks. In the physical layer, the joint Kalman filter and$\chi ^{2} $detector is proposed for the train state estimation and detection. In the cyber layer, an asymmetric encryption-based secure communication protocol with identity authentication and the blockchain-based distributed key management system with the adaptive consensus mechanism are designed for data communication security. Considering the unavailable direct observation of the CBTC cyber security states, a partially observable Markov (POMDP) decision model is constructed to derive the optimal adaptive consensus strategies for balancing cyber security and efficiency. Extensive simulation results show that the proposed blockchain empowered CBTC cross-layer defense method can effectively improve the cyber security protection capability and minimize the impact of data tampering attacks on the train operation.
Conor Mullaney, Adnan Aijaz, Nathan Sealey, Ben Holden
Peer-to-Peer (P2P) energy trading provides various benefits over conventional wholesale energy markets and makes renewable energy more accessible. This paper proposes a novel multi-layer P2P energy trading system for microgrids based on IOTA 2.0, which is a distributed ledger technology (DLT) primarily designed for Internet-of-Things (IoT) applications. The proposed energy trading system, which is a manifestation of a cyber-physical system (CPS), exploits the benefits brought by IOTA's unique ledger structure as well as the recently introduced IOTA smart contract protocol (ISCP). Further, it implements a uniform double-auction market mechanism and a hierarchical routing structure for interconnected microgrids. Performance evaluation demonstrates key benefits over wholesale markets as well as speed, energy efficiency and cost benefits over conventional blockchain-based P2P energy trading systems.
Joey H. Li, Münür Sacit Herdem, Jatin Nathwani, John Z. Wen
Information technologies involving artificial Intelligence, big data, Internet of Things devices and blockchain have been developed and implemented in many engineering fields worldwide. Existing review articles focus on developments and characteristics of individual topics and the associated deployment in the energy sector. These technologies, all based on communication, information, and data analysis, are naturally coherent and integrable. This article reviews the literature and patents in four closely related fields and aims to provide a holistic view of how they are related and their integrability in relation to smart energy management strategies. Artificial intelligence models forecast energy use and load profiles as well as schedule resources to ensure reliable performance and effective utilization of energy resources. Training artificial intelligence models requires immense volumes of data. Utilizing big data systems and data mining enables the discovery of new functions and relationships, which determines the performance of artificial intelligence. Data mining also refines the information; thus, artificial intelligence is trained iteratively with more accurate data. Smart energy management can be further enhanced through advanced digital technologies like Internet of Things and blockchain. An Internet of Things platform containing edge, fog and cloud layers helps connect artificial intelligence to other hardware and software devices and systems. Furthermore, an Internet of Things platform efficiently transmits and stores data, improving access and availability to stakeholders for data mining. Emerging technologies such as blockchain and cryptocurrency facilitate energy trading and can be designed in the cloud layer of an Internet of Things platform to supplement data storage. Providing an efficient and seamless integration of artificial intelligence, big data, and advanced digital technologies will be an important factor in the emerging transition of the energy sector to a lower-carbon system.
Mujeeb A. Shittu, Ibukun Olaoluwa Adeniji, Habeeb Shittu, Ifeanyi Simon Opara
This study presents a comprehensive and critical examination of blockchain-assisted secure data exchange within SCADA-controlled power systems, motivated by the growing cybersecurity risks and trust deficits associated with increasingly digitalised and decentralised electricity infrastructures. The primary purpose of the study is to evaluate the extent to which blockchain technologies can enhance the security, integrity, and resilience of SCADA data exchange while remaining compatible with the stringent performance and safety requirements of power system operations. A structured review methodology was adopted to synthesise peer-reviewed literature from power system engineering, cybersecurity, distributed ledger technologies, and related cyber-physical system domains. The analysis systematically examined SCADA communication architectures, data exchange models, blockchain fundamentals, integration paradigms, consensus mechanisms, privacy and access control strategies, interoperability challenges, and empirical pilot implementations across both developed and developing contexts. The findings reveal that conventional SCADA architectures, largely built on centralised trust and legacy protocols, are increasingly inadequate for addressing modern threat landscapes and multi-stakeholder data sharing requirements. Blockchain-assisted architectures—particularly permissioned and hybrid on-chain/off-chain models—demonstrate strong potential to improve data integrity, auditability, non-repudiation, and cross-organisational trust without disrupting real-time control functions. However, the study also identifies persistent challenges related to scalability, interoperability, governance complexity, and human capacity, which constrain large-scale deployment. Empirical evidence from pilot projects further indicates that blockchain is most effective when applied selectively at supervisory and coordination layers rather than within time-critical control loops. The study concludes that blockchain-assisted secure data exchange represents a strategically valuable complement to existing SCADA security mechanisms rather than a standalone solution. It recommends future research on performance-optimised consensus protocols, standardised integration frameworks, and the convergence of blockchain with advanced analytics and artificial intelligence. Policy alignment, capacity development, and context-aware implementation strategies are also essential to support sustainable adoption, particularly in developing power system environments.
Energy systems are transforming due to the incorporation of multiple distributed energy resources, such as renewable energy and battery storage systems. This transformation has triggered a need to shift power distribution from a low efficiency centralized model with high coordination costs to a decentralized distribution system comprising smart grids. Researchers have discovered a number of uses for blockchain technology in the energy sector because of its decentralized structure and possibility for safe transactions. In order to pinpoint current trends and important research directions in this area, this article thoroughly examines the effects of blockchain technology on smart grids and distributed energy resources. The aim of this paper is also to identify research gaps and future research initiatives in the area of blockchain-based energy distribution. To do this, 92 research publications were subjected to a comprehensive literature review based on predetermined criteria. Transactive Energy, Electric Vehicle Integration, Privacy and Security, and Demand Response, together with some other relatively fresh and unexplored topics, were, therefore, highlighted as four major focal areas of blockchain energy research. We have also drawn attention to the gaps in the research that has already been done and the constraints imposed by present systems that must be removed before blockchain technology can be widely used.
Dewi Immaniar, Anna Ayu Aryani, Shinta Zahrotul Ula
Globally, interest in renewable energy has grown recently. The microgrid integrates traditional dispersed energy resources utilizing technological tools and information technology, making it more effective and flexible to enhance the economic and environmental situations (IT). One of these technologies that has drawn interest in microgrid applications to create a sustainable society is blockchain. The blockchain idea can offer immutability for microgrid transactions such as recording power generation levels and confirming transactions between generators and end consumers. By eliminating the need to connect with third parties, blockchain-based smart contracts can be utilized for auditing or resolving a transaction dispute between the producers and the users. In this paper, we highlight many recent research projects on blockchain applications in microgrids and the use of smart contracts to enhance the transactive resilience in microgrids.
D. Jonathan Sebastian-Cardenas, Sri Nikhil Gupta Gourisetti, Shammya Shananda Saha, Komal Khan · 7 authors
Smart contracts (SCs) are a set of logical procedures that can be run by individual peers participating within a Distributed Ledger Technology (DLT) network. By design, smart contracts inherit many of the benefits of DLT, including its immutability, scalability and security properties. Nevertheless, they may introduce additional attack vectors, which can lead to cybersecurity explorations that could jeopardize the end-application's ability to operate as intended or result in data leaks, and privacy violations. In this work an exploration of known problems, and possible attack scenarios will be presented. This is followed by a set of proposed best practices and mitigation strategies that are intended to assist developers, researchers and other relevant stakeholders to develop secure SC implementations.
S. Bielecki, Tadeusz Skoczkowski, Lidia Sobczak, Marcin Wołowicz
This article reviews the issue of the use of cryptocurrencies (crypto-assets, in general) for an electricity settlement system. The development of digital techniques, including blockchain-based mechanisms, has meant that an increased interest in blockchain-based solutions is to be expected. Blockchain and similar approaches are characterised by decentralisation, so they are concurrent with the trends of the transforming power sector. Decentralised energy generation based on a high proportion of prosumer installations requires the implementation of a new settlement system for grid activities related to electricity use. The first projects of such systems based on a dedicated cryptocurrency have emerged. Based on these, the general concept of such a system with its own cryptocurrency called CCE is presented, including variants implementing net-metering and net-billing. Furthermore, issues requiring interdisciplinary research work and discussion before implementing such systems were identified. A settlement system in which a cryptocurrency is linked to a unit of energy used could be a first step towards introducing a new universal means of value exchange, linked to energy as the primary measure of the value of goods.
Muhammad Faizan, Ghuffran Ahmed, Farrukh Hassan Syed
Transactive energy management (TEM) is a revolutionary peer-to-peer (P2P) energy trading idea that would be establish a market of distributed energy with greater sustainable energy utilization by involving native prosumers as a major participants in the energy ecosystem. Considering prosumer concerns is crucial to the development and adoption of the P2P energy exchange paradigm. In such system a transition, regulatory and policy considerations are equally crucial. However, there is a significant knowledge gap in areas such as users, data, and energy law. Several interconnected building components, including market of energy providers and network companies of generation, transmission and distribution, make up a transactive energy framework. Analyzing the performance of such a framework’s key components can help determine its effectiveness. This article offers a straightforward explanation of transactive energy that aids in pinpointing its fundamental constituent parts. Each component of the transactive energy system is concisely reviewed to emphasize its important function and efficiency based on identification of key building blocks. Then, few enabling technologies for such systems are examined. To hasten its adoption, several policy recommendations are offered at the conclusion. Ultimately, the research will incorporate regulatory and security issues into a comprehensive approach for optimizing the TEM procedure by applying non-fungible token (NFT’s) with unique identification which distinguish them from each other. Machine Learning and Internet of Things techniques also incorporate to minimize technological constraints for gathering metadata.
Suman Rath, Lam Duc Nguyen, Subham Sahoo, Petar Popovski
Blockchain has recently been depicted as a secure protocol for information exchange in cyber-physical microgrids. However, it is still found vulnerable to consensus manipulation attacks. These stealth attacks are often difficult to detect as they use kernel-level access to mask their actions. In this paper, we firstly build a trusted and secured peer-to-peer network mechanism for physical DC microgrids' validation of transactions over Distributed Ledger. Secondly, we leverage from a physics-informed approach for detecting malware-infected nodes and then recovering from stealth attacks using a self-healing recovery scheme augmented into the microgrid Blockchain network. This scheme allows compromised nodes to adapt to a reconstructed trustworthy signal in a multi-hop manner using corresponding measurements from the reliable nodes in the network. Additionally, recognizing the possible threat of denial-of-service attacks and random time delays (where information sharing via communication channels is blocked), we also integrate a model-free predictive controller with the proposed system that can locally reconstruct an expected version of the attacked/delayed signals. This supplements the capabilities of Blockchain, enabling it to detect and mitigate consensus manipulation attempts, and network latencies.
Interconnected Microgrids (IMGs) are considered a futuristic paradigm of power grids that offer modularity, resilience, and independence with energy exchangeability. In this context, each MG is accountable to its own citizens (i.e., generators or loads) and can participate in a market with its neighbours, if this enhances the benefits of its citizens. Thus, greedy behaviour is assumed to be rational for MGs participating in such a market. In this paper, a novel decentralized platform to facilitate energy trading between IMGs is developed. The platform would allow interested MGs to participate and gain benefits assuming self-benefit-driven (SBD) actions from participating MGs. The proposed platform provides a market-clearing approach based on sequential rounds. In each round, the MG with the cheapest energy price is privileged to export its surplus energy and maximize its own benefits. In order to identify the round champ, a decentralized ranking algorithm is developed to determine the MG with the cheapest energy price. The effectiveness of the proposed platform is validated using various case studies.
Georgios Fragkos, Jay Johnson, Eirini Eleni Tsiropoulou
A global transition to power grids with high penetrations of renewable energy generation is being driven in part by rapid installations of distributed energy resources (DER). New DER equipment includes standardized IEEE 1547-2018 communication interfaces and proprietary communications capabilities. Interoperable DER provides new monitoring and control capabilities. The existence of multiple entities with different roles and responsibilities within the DER ecosystem makes the Access Control (AC) mechanism necessary. In this paper, we introduce and compare two novel architectures, which provide a Role-Based Access Control (RBAC) service to the DER ecosystem’s entities. Selecting an appropriate RBAC technology is important for the RBAC administrator and users who request DER access authorization. The first architecture is centralized, based on the OpenLDAP, an open source implementation of the Lightweight Directory Access Protocol (LDAP). The second approach is decentralized, based on a private Ethereum blockchain test network, where the RBAC model is stored and efficiently retrieved via the utilization of a single Smart Contract. We have implemented two end-to-end Proofs-of-Concept (PoC), respectively, to offer the RBAC service to the DER entities as web applications. Finally, an evaluation of the two approaches is presented, highlighting the key speed, cost, usability, and security features.
Miguel Gayo-Abeleira, Carlos Santos, Francisco J. Rodríguez, Pedro Martı́n · 6 authors
Regulatory changes in different countries regarding self-consumption and growing public concern about the environment are encouraging the establishment of community microgrids. These community microgrids integrate a large number of small-scale distributed energy resources and offers a solution to enhance power system reliability and resilience. This work proposes a geographically-based split of the community microgrids into clusters of members that tend to have similar consumption and generation profiles, mimicking the most typical layout of cities. Assuming a community microgrid divided into clusters, a two-layer architecture is developed to facilitate the greater penetration of distributed energy resources in an efficient way. The first layer, referred as the market layer, is responsible for creating local energy markets with the aim of maximising the economic benefits for community microgrid members. The second layer is responsible for the network reconfiguration, which is based on the energy balance within each cluster. This layer complies with the IEC 61850 communication standard, in order to control commercial sectionalizing and tie switches. This allows the community microgrid network to be reconfigured to minimise energy exchanges with the main grid, without requiring interaction with the distributed system operator. To implement this two-layer energy management strategy, an aperiodic market approach based on Blockchain technology, and the additional functionality offered by Smart Contracts is adopted. This embraces the concept of energy communities since it decentralizes the control and eliminates intermediaries. The use of aperiodic control techniques helps to overcome the challenges of using Blockchain technology in terms of storage, computational requirements and member privacy. The scalability and modularity of the Smart Contract-based system allow each cluster of members to be designed by tailoring the system to their specific needs. The implementation of this strategy is based on low-cost off-the-shelf devices, such as Raspberry Pi 4 Model B boards, which operate as Blockchain nodes of community microgrid members. Finally, the strategy has been validated by emulating two use cases based on the IEEE 123-node system network model highlighting the benefits of the proposal.
Tamara Roth, Manuel Utz, Felix Baumgarte, Alexander Rieger · 6 authors
Blockchain is no longer just a hype technology, and effective blockchain applications exist in many industries. Yet, few blockchain projects have been successful in Europe’s energy systems. To identify the reasons for this slow progress, we reviewed the recent energy literature regarding the use of blockchain, analyzed industry reports, and interviewed experts who have conducted blockchain projects in Europe’s energy systems. Our analysis reveals eight common use cases, their expected benefits, and the challenges encountered. We find that the expected benefits are often little more than generic hopes, largely outweighed by technological, organizational, and regulatory challenges. The identified challenges are significant and numerous, especially for peer-to-peer trading and microgrid use cases. The fact that few projects have yet provided robust evidence for profitable use suggests there is still a rocky road ahead. Moreover, many use cases appear to require more than just blockchain technology to succeed. In particular, privacy and scalability requirements often call for systems in which blockchains only take a backseat. This realization may be essential for the future use of blockchain technology in energy systems – in Europe and beyond.
Basheir Khan, Inam Ul Haq, Sohaib Rana, Haroon Ul Rasheed
Smart Grids are an emerging technology and are significant for widespread industries and domains. In smart-grid-based applications, data is collected by various sensors that assist in effective decision-making. Currently, such systems are centralised and inherit multiple users’ privacy and security concerns. To overcome these security concerns, blockchain-based security schemes are in place. However, the rapid emergence of quantum computers is threatening the security of existing designs. This paper proposes a blockchain architecture for smart grids based on ring signatures that will be secure in the post-quantum era. Furthermore, comprehensive security and performance analysis make it evident that the proposed scheme is well suited for smart grids.
Blockchain Technology Applications and Security
Smart Grid Security and Resilience
Advanced Steganography and Watermarking Techniques