P2P Energy Trading of EVs Using Blockchain Technology in Centralized and Decentralized Networks: A Review
Abstract
:1. Introduction
- The paper provides an overview of P2P energy trading of EVs using blockchain technology.
- It comprehensively discusses P2P energy trading of EVs using blockchain in the contexts of both centralized and decentralized networks.
- It emphasizes the key concerns, current trends, and future directions in the field of P2P energy trading of EVs using blockchain.
2. Methodology
3. Overview of Energy Trading of EVs Using Blockchain Technology
3.1. Peer-to-Peer Energy Trading
3.2. Blockchain Technology
3.3. Smart Contract
4. P2P Energy Trading of EVs for Centralized and Decentralized Networks
4.1. Centralized Network
4.2. Decentralized Network
Aspects | Decentralized Energy Network |
---|---|
Power Generation | Distributed local sources |
Resource Utilization | Utilizes local renewable resources |
Control | Potential for community control |
Resilience | Greater resilience to outages |
Transmission Losses | Reduced transmission losses |
Regulation | Complex coordination and regulation |
Initial Investment | Requires substantial upfront costs |
Flexibility | Adaptable and customizable solutions |
Ref. | Techniques | Limitations/Difficulties | Advantages | Disadvantages |
---|---|---|---|---|
[18,71] | The iceberg order execution method is used. | Equity share is not different in peak timings and base-load timings. | Helps conceal the true order size, reducing market impact. | May result in partial execution of the order at suboptimal prices. |
[72,73] | The consortium blockchain convex–concave technique is used. Edge computing is used for creating blocks. | The history of previous data is stored in a private database, which could be a threat to EV owners’ privacy. | Offers enhanced privacy and scalability compared to public blockchains. | Requires trust among consortium members, potentially leading to centralization. |
[44,49,66] | Byzantine fault tolerance consensus algorithm. | No compensation or original currency has been offered for discharging EVs. | Reduces latency and bandwidth usage by processing data closer to the source. | Relies on stable and reliable network connectivity to the edge devices. |
[62,74] | Distributed energy mechanism algorithm. | The private data of customers were used before going into the system. | Ensures network reliability and security even in the presence of malicious nodes. | Higher computational overhead compared to other consensus algorithms. |
[65,75] | McAfee priced double-auction mechanism. | Completely focuses on the pricing strategy and economic welfare of the users. Does not focus on how to do trading in remote areas. | Enables efficient coordination and optimization of distributed energy resources. | Complexity in managing diverse energy sources and their interactions. |
[66,67] | Byzantine fault tolerance pricing technique. SHA-256 for hashing. | No improvement in the harmony algorithm. There is no assessment of execution with extra physical limitations of distributed networks and EVs. | Facilitates price discovery and efficient allocation of resources. Provides high-level security and collision resistance in hashing. | Susceptible to market manipulation and price volatility. Requires significant computational resources for hashing large datasets. |
[76,77,78] | A game theory model is used. | The cautionary model proposed in this paper is not efficient because if the number of electric vehicle increases, and payment will be a big challenge. | Helps in modeling strategic interactions and decision-making. | Assumptions about rationality and perfect information may not always hold. |
[79] | Ring signature, aggregator signature, and public key infrastructure. | There is no concept of bidding, which will lose the interest of users. Misuse of contact-based authentication is a problem. | Offers enhanced privacy and security in transactions. | Implementation complexity and potential scalability issues. |
[80,81] | Aggregator-based microgrid structure blockchain is used as a tool. | High prices are required for the execution of blockchain. | Enables efficient management and trading of energy within microgrids. | Requires trust in the aggregator and potential centralization risks. |
[82,83] | Iteration double-auction mechanism is used. | The pricing method for electricity is fixed. | Allows for iterative bidding and price adjustments, improving market efficiency. | Increased complexity in auction design and implementation. |
[71,84] | Go-Ethereum blockchain on RPi. | A server is involved in the smart contract, due to which the privacy of users can be compromised. | Enables decentralized applications on resource-constrained devices. | Limited processing power and storage capacity on Raspberry Pi devices. |
[85,86] | Stackelberg equilibrium. | Mainly discusses EV trading in smart grids and how to reduce electricity bills by trading. Does not focus on a trading algorithm. | Models strategic interactions between leaders and followers in a hierarchy approach. | Assumes perfect information and rational decision-making, which may not always hold. |
5. Major Concerns to Implement P2P Energy Trading
5.1. Trustworthy Platform
5.2. Supervisory Framework
5.3. Attaining Technical Requirements
5.4. Roles and Responsibilities
5.5. Scalability and Budget
5.6. Policies and Protocols
6. Current Trends and Future Directions
- Electric vehicles have emerged as a promising technology for achieving sustainability in the transportation sector. The increasing number of EVs has attracted researchers to work on EV energy trading.
- Nowadays, blockchain technology performs an important role in P2P energy trading frameworks because it provides trust, transparency, secure transactions, and information privacy to all prosumers and consumers.
- Smart contracts allow real-time settlements in P2P energy trading. Currently, researchers are interested in and working on blockchain-based smart contract platforms utilizing different algorithms for P2P trading.
- To combat environmental pollution caused by conventional fossil fuel vehicles, widespread adoption of EVs by the public is essential. In that scenario, the rise of EVs drives complex infrastructure of P2P trading. Some researchers are exploring how EV owners selling and storing energy would impact the network infrastructure.
- In the future, “prosumers”, as EV owners, will not only consume but also produce and sell energy to the grid.
- Developing a blockchain-backed P2P electricity trading framework with an energy-efficient consensus algorithm will provide high economic benefits. It can also facilitate the cross-border renewable energy trading network involving prosumers and small-scale microgrids.
- In renewable energy, such as solar, wind, and hydro, sometimes, the generated energy exceeds the need and ends up wasted. This would be avoided by using smart meters and contracts using blockchain technology. When the network has extra energy, these smart contracts will send it to EVs’ storage.
- Establishing new smart contracts for P2P energy trading will enable optimized energy utilization, which incorporates a novel strategic way to deal with environmental compliance measures.
- For dynamic load forecasting and energy management, demand-side management will be revolutionized to optimize energy consumption. By leveraging blockchain technology, it will create an efficient and responsive system that adapts in real-time to shifting energy demands. This innovative approach will not only enhance energy efficiency but also promote sustainability by enabling the seamless integration of renewable energy sources into electricity grids.
7. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Research Question | Answers |
---|---|
1. Why does P2P trading need to be introduced in the EV market? | To encourage EV owners to participate in energy trading, especially during the peak demand hours, to provide economic benefit to power grids. |
2. Why is a decentralized mechanism preferred over a centralized network? | A decentralized mechanism is preferred for its energy trading, data security, network reliability, and trustworthy platform among peer-to-peer customers, as well as the elimination of sharing their personal information with a third party. |
3. Why is blockchain technology used as a trading mechanism for energy? | For secure information and energy trading, the detailed reason for using blockchain technology is discussed in the following sections. |
4. Has the previous work related to this topic not been sufficient? | Most of the previous work was lacking because of aspects such as P2P energy trading of EVs, blockchain technology, centralized networks, and decentralized networks. |
Aspects | Centralized Energy Network |
---|---|
Power Generation | Few large facilities |
Resource Utilization | Efficient economies of scale |
Control | Managed by a single entity |
Resilience | Vulnerable to disruptions |
Transmission Losses | Transmission losses can occur |
Regulation | Easy to regulate and monitor |
Initial Investment | Potentially low initial investments |
Flexibility | Limited flexibility in adapting |
Ref. | Technique | Limitations/Difficulties | Advantages | Disadvantages |
---|---|---|---|---|
[21,46] | Robust energy trading (RET) algorithm | Limited scalability when dealing with large-scale EV energy markets due to computational burden. | The proposed scheme balances supply and demand responses in the V2G mode of operation. | The proposed algorithm focuses on a distributed network with less transparency. |
[19] | Activity-based model is used for a particular population in Belgium | Difficulty in accurately representing diverse energy consumption behaviors within the population. | Economically beneficial for users and reduces the burden on the grid during peak hours. | Charging and discharging pattern is only focused for a limited interval of time. |
[47,48] | Nash equilibrium game theory approach | Assumption of rational behavior may not always hold in real-world energy markets. | The proposed algorithm minimizes energy transition costs. | Privacy concerns, as it includes serving as a medium of trading. |
[49,50] | Stackelberg game and energy pricing equilibrium | Complexity in modeling dynamic interactions between energy producers and consumers. | Facilitates energy pricing equilibrium. | Focuses on V2G trading only. |
[51] | Real-time energy management for EVs equipped with RES | Dependency on accurate and up-to-date data for effective decision-making, susceptible to errors and delays. | Different pricing schemes are suggested. | The study shows simulations only for real-time data. |
[52,53] | Distributed energy resources (DERs) | Integration challenges due to diverse technologies and varying levels of control and management. | A thorough study of the energy market with the distributed energy sector. | RES is the main source of electricity generation. |
[54,55] | Internet of Energy (IoE) technique | Vulnerability to cybersecurity threats and data privacy concerns in interconnected energy systems. | The proposed scheme effectively reduces energy waste. | Mainly focuses on renewable energy sources. |
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Khan, S.; Amin, U.; Abu-Siada, A. P2P Energy Trading of EVs Using Blockchain Technology in Centralized and Decentralized Networks: A Review. Energies 2024, 17, 2135. https://doi.org/10.3390/en17092135
Khan S, Amin U, Abu-Siada A. P2P Energy Trading of EVs Using Blockchain Technology in Centralized and Decentralized Networks: A Review. Energies. 2024; 17(9):2135. https://doi.org/10.3390/en17092135
Chicago/Turabian StyleKhan, Sara, Uzma Amin, and Ahmed Abu-Siada. 2024. "P2P Energy Trading of EVs Using Blockchain Technology in Centralized and Decentralized Networks: A Review" Energies 17, no. 9: 2135. https://doi.org/10.3390/en17092135
APA StyleKhan, S., Amin, U., & Abu-Siada, A. (2024). P2P Energy Trading of EVs Using Blockchain Technology in Centralized and Decentralized Networks: A Review. Energies, 17(9), 2135. https://doi.org/10.3390/en17092135