Applications of Blockchain Technology in Modern Power Systems: A Brief Survey
Abstract
:1. Introduction
2. Methodology
- (1)
- Determining whether the application domain has the characteristics of decentralization and excessive dependence on passwords;
- (2)
- Determining whether data tampering needs to be prevented and whether consensus needs to be reached by multiple parties;
- (3)
- Judging whether the use of blockchain technology can lead to innovation, increase transparency, and enhance the ability of auxiliary supervision [9].
3. Application of Blockchain in Electric Power Dispatching
- (1)
- Several studies have been carried out on dispatch management based on considering the dynamic electricity price. For example, a blockchain-based multi-microgrids scheduling strategy was presented in [10] with considerations of dynamic electricity price and the scheduling strategy, and a scheduling architecture based on a blockchain platform was designed. Through this scheme, the problem of the system economy and environmental pollution are improved. They used the linear programming method and improved the krill herd algorithm (KHA) with a weighted nonlinear change to solve, and blockchain technology could guarantee the security of scheduling data. A load scheduling algorithm is presented in [11] based on real-time pricing for multi-users. The algorithm can make use of real-time energy pricing information for scheduling. A case study of a distributed green energy was provided, using Hyperledger Iroha as a blockchain platform. It has been proved that the system is secure, scalable, and can ensure reliable energy transmission. The work in [12] focused on a local energy market based on blockchain. Their approach reduces the cost of electricity using a scheduling algorithm based on critical peak price, real-time pricing, and demurrage. A scheduling algorithm was adopted and applied to a small community private chain containing photovoltaic systems. Experimental results show that this scheme can minimize energy consumption and power costs between producers and consumers, and enhance security in transactions.
- (2)
- Scheduling schemes from the perspective of energy trading were put forth in the following studies. A peer-to-peer (P2P) energy transaction scheduling scheme (PETS) is presented in [13] based on blockchain technology. PETS is based on real-time energy consumption monitoring to balance the energy gap between the service providers (i.e., smart grid) and service consumers (i.e., electric vehicles). In PETS, a genetic algorithm was proposed to maximize the leader’s profit from the leader’s point of view. The simulation results show that the proposed PETS scheme is better than the most advanced one. An autonomous distributed scheduling framework was proposed in [14] for managing the power consumption in smart building clusters and the locally distributed energy. They provided an incentive mechanism based on the reputation value. The Ethereum private blockchain simulation results show that the scheduling scheme effectively reduces the scheduling cost. A distributed energy scheduling scheme is presented in [15] based on the minimum-cut-maximum-flow theory. Blockchains were used to record transactions and reach consensus. Payment and settlement of actual electricity consumption were performed using smart contracts, and a lower total power consumption cost was realized. This method was applied to a city in Guangdong province covered by China Southern Power Grid, and the result proved its feasibility.
- (3)
- The following methods have been developed for safety. In [16], a power dispatching model based on hierarchical management and hierarchical storage was proposed, and a fully functional dispatching blockchain platform was developed. Automatic execution of dispatching evaluation was realized by using a customized smart contract, the security of the system was realized through the designed consistency check mechanism, and the scheme has been applied in practical projects. In [17], the blockchain technology is used, and a secure data aggregation model proposed based on homomorphic encryption and practical Byzantine fault tolerance (PBFT) consensus. In addition, they proposed an automatic power dispatching method based on the particle swarm optimization (PSO) algorithm and smart contract. The security and efficiency of the proposed solution are proved by safety analysis and experimental verification. A completely decentralized transaction architecture and a weakly centralized scheduling strategy are presented in [18] based on blockchain technology. A decentralized and quantified proportion of blockchain participation is defined, and a risk control model of blockchain transactions developed based on the communication credit consensus mechanism. Based on the transaction completion process, a weak centralized scheduling architecture based on an autonomous substation chain was designed, using an improved evolutionary gaming algorithm to solve the problem. A stable scheduling scheme was obtained by dynamically updating the credibility.
- (4)
- Study from the point of view of economic dispatch includes the following: Chen et al. [19] presented the distributed security-constrained economic dispatch (SCED) algorithm based on the blockchain technique. Using a blockchain to form a coordinating committee and maintain a balance among the committee members, the proposed approach allowed for the use of a hierarchical SCED algorithm without a coordinator. The design scheme verifies the robustness of blockchain technology through digital simulation and realizes economic power dispatching.
4. Application of the Blockchain Technology in Microgrid
- (1)
- Studies from the perspective of establishing microgrid transaction models or algorithms include the following: Danalakshmi et al. [20] adopted a self-balanced differential evolution algorithm, which was used for calculating the power loss of each energy transaction. This approach was applied to the optimal reactive power dispatching (ORPD) scenario of the nine-way bus system. A case study showed that the proposed hierarchical microgrid architecture can achieve transparency and security among peers; thus, enabling reactive power optimization of the microgrid and reducing power losses. In Xu et al. [21], a coupled blockchain technology with a microgrid group transaction was described, which established a microgrid group information flow transaction model based on the blockchain technology. Based on the decentralized characteristics shared by the blockchain technology and the ant colony algorithm, an improved ant colony algorithm was proposed to solve the microgrid group, and the transaction model. Microgrid operators and distributed storage providers were taken as examples to verify the results. Yang et al. [22] proposed a blockchain consortium transaction model supporting P2P energy transactions. A power loss compensation alliance blockchain based on a smart contract transaction execution algorithm was designed. Simulation results show that the proposed blockchain model helps save users’ transaction costs and could perform the technical operation of microgrid. Okoye et al. [23] proposed a network-enhanced transaction microgrid model based on the blockchain technology, and it was applied to microgrid transactions. By testing in a simulation environment, the results show that the model could enhance the robustness of energy transactions and alleviate the disaster caused by failure to deal with emergency demand events in a timely manner. Myung et al. [24] proposed an automatic power trading algorithm for a microgrid environment and applied it to transactions in microgrid environments. The algorithm has been implemented on the Ethernet blockchain platform with an executable distributed code (i.e., a smart contract). It can automate electricity transactions in a decentralized environment without user intervention. Masaud et al. [25] proposed an energy trading algorithm of two-layer isolated interconnected microgrids based on blockchain, and applied it to transactions in microgrid environments. The simulation results show that the proposed scheme can realize system reliability and improve the privacy protection of microgrid. Singla et al. [26] proposed a blockchain auction model based on a microgrid, adopting the consensus price algorithm and using geographical location as the main parameter of visibility between electricity consumers and aggregators. By applying it to transactions in microgrid environments, they aimed to create an energy transfer ecosystem. Liu et al. [27] established a microgrid transaction model based on the blockchain platform and used the optimized PSO method to solve the optimal bidding strategy in the transaction. The scheme is applied to wind storage and electric vehicle small microgrid, and the verification results show that the scheme achieves profit optimization of each subject, realizes organic integration of blockchain and microgrid, and solves the problem of insufficient energy utilization in the microgrid game. Zhao et al. [28] established a microgrid market transaction model using the consortium blockchain technology and the Nash equilibrium in game theory. Price, trading volume, and user information were submitted to the blockchain container for transaction matching to realize the transaction. After the transaction was completed, its related information was recorded in the super ledger and called the scheduling system. The scheme was validated in microgrid transaction scenarios, and the results show that it can reduce the cost of purchasing power and improve the benefit of selling power. Chen et al. [29] proposed a prioritization algorithm based on the driving and charging behaviors of EV drivers and proposed a blockchain-based incentive mechanism for EV–EV coin. The scheme was simulated and verified by collecting solar energy data from California. The application shows that the system could effectively improve the utilization rate of the local microgrid and reduce the transmission load of the distribution network. Su et al. [30] proposed an optimized algorithm of microgrid energy management and applied it to microgrid energy management scenarios to verify the scheme. This method can reduce the inherent uncertainties in renewable energy systems by using and expanding clean energy, reducing power carbon emissions, and optimizing microgrid power management by using the energy blockchain technology.
- (2)
- Studies on the security of microgrid transactions include the following: The authors of [31] proposed a blockchain-oriented consortium approach for solving the problem of privacy disclosure without restricting the transaction functions. This method was mainly aimed at the privacy problems of energy transaction users in smart grids. By mining different energy transaction volumes, the distribution of energy sales of sellers was screened, and its relationship with the physical location, energy use, and other information was detected. The scheme was applied to energy trading, and the security of the scheme was verified by sample selection and software environment simulation. Liu et al. [32] proposed a secure power transaction mechanism based on blockchain for smart power grids using wireless networks. By introducing a blockchain to record the power data collected by wireless networks, the designed smart contracts can make reasonable transaction decisions based on it and promote the effectiveness of the security. Wang et al. [33] proposed an artificial-intelligence-enabled blockchain-based electric vehicle integration scheme (AEBIS) for the power management of smart grid platforms. At the cost of acceptable memory and delay, the scheme was applied to the integrated power management system of the smart grid platform, and the verification results show that the scheme can achieve secure and transparent service. Khan et al. [34] proposed a Hyperledger Sawtooth Blockchain system, which realized a novel and secured distributed energy transmission node in the EPS-ledger network architecture. This approach designed, created, and deployed digital contracts for network physical energy monitoring systems. The scheme has strong renewable energy penetration capabilities and provides confidentiality and integrity in power system distribution. Zhang et al. [35] proposed a privacy protection scheme based on blockchain consortium and continuous double auction for microgrid direct electricity transactions. They used the combination way of the alliance blockchain and the continuous double auction mechanism. The results show that the proposed scheme can be applied to the microgrid direct electricity transaction scenario and can solve the demand of small scale, low cost, and high efficiency of microgrids.
- (3)
- The following distributed transaction schemes have been proposed: Park et al. [36] proposed a scheme to implement the distributed ledger technology based on the directed acyclic graph (DAG) and applied it to the microgrid. After this, electricity transactions in a smart grid can be confirmed. Wang et al. [37] proposed a distributed P2P energy transaction method based on the double auction market, namely supply and demand generation, pricing strategy, and distributed P2P energy transaction. The method was applied to an urban community microgrid scenario. Through test verification, the scheme can realize the coordination and complementarity of the energy resources in urban community microgrid systems.
- (4)
- Studies from the perspective of smart contracts include the following: Younes et al. [38] discussed the detailed background of blockchain, introduced the general situation of smart grid and its technology, clarified the importance of smart contracts and their role in blockchain, and emphasized the application of blockchain in smart grid and the improvement of elasticity. Xuan et al. [39] proposed a blockchain-based power grid control method and application model, which treats both national and provincial systems as blockchain nodes. They concluded that a smart contract could establish a model data chain containing the entire network model and model maintenance ledger. It was applied to the innovative maintenance mode of the power grid. The results show that the scheme not only ensures the security and reliability of the data but can also be used for analysis, mining, and business development.
- (5)
- Articles studied from the perspective of multi-microgrid networks include the following: The authors of [40] proposed a two-tier energy trading framework based on blockchain in multi-microgrids. This framework was applied to the transaction scenarios of eight independent microgrids. The results show that information transparency and mutual trust can be improved. Xu et al. [21] established a coupling model for the combination of blockchain technology and microgrid group transactions.
- (6)
- Studies considering the ancillary service market include the work by Di Silvestre et al. [41], in which the auxiliary service market was considered; in particular, the voltage regulation service and a design scheme of blockchain technology in a comprehensive framework combining microgrid and economic management were proposed. The feasibility of the proposed scheme was verified by applying it to a group of energy trading examples.
5. Application of the Blockchain Technology in the Energy Market
- (1)
- Various schemes have been proposed to improve its computing speed in energy trading. For example, Hu et al. [44] designed a consensus resource slice model (CRSM) in the field of energy trading. CRSM divides the consensus nodes into different consensus domains for concurrent consensus, and the storage domain only stores the block information but not consensus. It is applied to distributed energy trading scenarios. By building an experimental platform, the efficiency of CRSM was verified, which reduced the communication pressure of the blockchain system and effectively improved its consensus speed. Lu et al. [45] proposed a software-defined-networking (SDN) based distributed energy transaction scheme for an energy internet supported by blockchain technology, which was applied to a distributed energy trading scenario. Their scheme achieves reasonable matching of trading objects to protect privacy. A new distributed hash table topology was established by using the Kademlia technology, which greatly improves the speed of the route query compared to the other algorithms.
- (2)
- The following studies on energy trading mechanism have been proposed. Che et al. [46] proposed a distributed renewable energy transaction authentication mechanism based on the alliance blockchain. Further, a certificate authority (CA) was introduced into the blockchain network to manage the users’ public and private keys and certificates. This strengthened the supervision of the transaction participants over the power agencies. The solution can be applied to various platforms of blockchain consortia and energy trading markets. He et al. [47] proposed a joint operation mechanism of cross-chain transactions and combined the distributed photovoltaic power generation and carbon markets using blockchain technology. Its novelty lies in the construction of two chains, the main chain and the side chain, which enables the two markets to share data and circulation value. In addition, the design of a two-way anchoring method can achieve the equivalence of carbon trading and electricity trading using cryptocurrencies. The results show that the scheme can increase the profit margin when applied to the cross-chain transaction scenario of distributed power generation. Xia et al. [48] proposed a decentralized power trading mode in which multiple parties participate in bidding and designed the decentralized power multi-party trading process. In addition, considering the limitations of the current blockchain technology, the user credibility model and the corresponding punishment mechanism were designed to restrict the offline point-to-point transaction after the bidding decision was completed. Using the Ethereum smart contract technology, a smart multi-party bidding contract was designed based on a decentralized power transaction process to provide privacy for users participating in the transaction and ensure that the bidding results were publicly verifiable. The scheme was applied to a distributed power trading scenario to verify the effectiveness of the power surplus trading mechanism. Zhuang et al. [49] designed a transaction mechanism and operation process for the distributed power generation market and transaction rules for distributed transactions. Based on this, the core method was used for distributing the transaction profits by taking collective rationality as the core game, and the core model of the distributed transaction cooperative game was constructed. An example verifies the feasibility of the scheme in a distributed transaction scenario. Long et al. [50] proposed a trading mechanism based on the Shapley value and a P2P energy trading algorithm. Based on the optimality and fairness of producers and consumers, a distributed energy management solution was proposed and applied to a residential community with a photovoltaic system.
- (3)
- Various schemes have been proposed from the perspective of security in energy transactions. For example, Sheikh et al. [51] studied the energy transaction process between EVs and the distribution networks under the framework of the Byzantine blockchain consensus from the perspective of security transactions. It is applied to IEEE 33 bus system for case verification, and the results show that the scheme is feasible. Khorasany et al. [52] proposed a blockchain-supported P2P energy market trading framework, and designed the decentralized market clearing mechanism completely. This paper proposed an anonymous position certificate (A-PoL) algorithm, and applied to location-aware point-to-point transactions; the result shows that it can provide energy trading between producers and consumers, as well as security and privacy protection of the environment. Wang et al. [53] proposed a multi-blockchain power transaction data management structure based on a sovereign blockchain by taking the efficiency and security performance of the blockchain. The proposed scheme was applied to a multi-blockchain power transaction scenario for verification; the results show this data management structure improves the efficiency of power data management.
- (4)
- The following studies on P2P energy transactions have been performed. Zhang et al. [54] studied a benchmark low-voltage microgrid case and a low-voltage microgrid case with higher node diversity using the self-designed energy trading platform “Elecbay”. The results of this study show that P2P point-to-point energy trading could improve the balance of local energy production and consumption. In another study [55], a P2P energy trading scheme which adopts the alliance formation algorithm was proposed. It was applied to a residential network of 12 consumers. The case study shows that the scheme can help centralize the power system to reduce the total demand of users during peak hours. Doan et al. [56] proposed a smart electric P2P energy trading system based on the game theory and blockchain technology, which does not need to disclose private information such as the bid from each user, request, energy quantity, and user behavior. The proposed scheme is applied to a microgrid case with 10 consumers, and the security of the system is verified. Khan et al. [57] designed a point-to-point energy transaction and charging payment system for EVs based on blockchain technology. In this system, the users can sell excess electricity to the charging stations via smart contracts, and the EV users can pay the charging fees using electronic wallets. Antal et al. [58] discussed a decentralized energy flexibility market based on blockchain. With the help of urban distribution system operators, the scheme is validated, and the results show that the scheme can enable small-scale producers to trade in a P2P manner and improve the flexibility in load modulation. Khorasany et al. [59] focused on a distributed P2P energy trading scheme. A prime-dual gradient method was applied to a small residential distribution network to verify the scheme, and a case study shows that the scheme can satisfy the direct interaction between buyers and sellers in a completely decentralized way in the electricity market.
- (5)
- Articles studied from the perspective of the double auction market include the following: Jogunola et al. [60] developed VirtElect, a platform based on the dual auction market, to support paired interaction between consumers. Based on a case study of real microgrid data, the performance of the platform in demonstrating the potential of local energy consumption was verified. Fotia et al. [61] designed a decentralized, real-time, uniform price dual-auction energy market, which is a distributed and decentralized application, the rules of which can be specified using smart contracts. Market participants interact with smart contracts, sending their requests and offers. The distributed applications clear the market based on a uniform price economic scheduling model and realize the application in the distributed energy market.
- (6)
- Research based on energy demand prediction includes the following: Shamsi et al. [62] proposed a conceptual framework for utilizing predictive markets on a blockchain platform with the aim of forecasting and hedging renewable energy. The potential financial benefits of applying this approach were demonstrated through a case study of a typical small wind power producer. Jamil et al. [63] proposed a predictive energy trading platform based on blockchain, which provides real-time support, one-day-ahead control, and power generation scheduling for distributed energy, and can realize point-to-point energy trading, data analysis, and predictive analysis supported by smart contracts. The energy consumption data of Jeju Island in South Korea were applied to the model for verification and analysis, and the results show that the platform has advantages in improving latency and throughput. Aloqaily et al. [64] focused on a solution combining a hybrid energy trading system with the smart contract of a collaborative power grid to create a hybrid energy trading platform on the smart contract for energy demand prediction. It was applied to the energy transaction scenario of distributed microgrid, and the results show that the scheme can efficiently reduce the utility grid’s average energy cost and load.
- (7)
- Studies based on comprehensive energy trading include the following: Hamouda et al. [65] proposed a comprehensive transactional energy market framework with linked blockchain and power system layers, a new-type market structure based on end-user marginal price, and an adaptive blockchain that adapts to the requirements of the inherent power system. The author applied it to the self-designed energy trading platform, and the results show that the scheme can make the trading price more flexible, increase the incentive effect, and improve fairness. Aloqaily et al. [64] proposed demanded forecasting content and also a solution combining a hybrid energy trading system with the smart contract of a collaborative power grid.
- (8)
- Research based on market architecture includes the following studies: Hamouda et al. [65] proposed a new market structure based on the marginal price of end-users at the same time. Zia et al. [66] proposed the concept of a local energy market based on the existing tradable energy system architecture, critically analyzed the energy trade within the tradable energy system, reviewed and discussed the potential of the community energy market, and summarized the advantages and limitations of P2P and community energy market.
- (9)
- Considering cross-chain technology includes the following studies: Wang et al. [67] proposed a novel two-layer energy blockchain network, which stores private transaction data and publicly available information separately. Based on the optimized cross-chain interoperability technology, the blockchain network fully considers the special attributes of the energy transactions. This method was applied to the transaction scenario of the Erlianhot distributed power market in China, and the results show that this method can improve the reliability of P2P transactions and facilitate supervision.
6. Application of the Blockchain Technology in Electricity Bill Settlement
- (1)
- Research studies conducted from the perspective of security and privacy are as follows. Li et al. [69] proposed a lightweight dual blockchain privacy protection and sharing solution and designed a lightweight distributed cloud storage architecture based on dual blockchain for a smart grid smart pricing system. The scheme has the characteristics of low delay, short response time, and high security. A privacy protection estimation scheme employing the blockchain-based data acquisition and load function were proposed [70]. They estimated the power consumption behavior model of the user group using the gradient descent method, and the users who reflected the energy consumption habit of the current user group were selected as the charging node. They applied it to the scenario of multi-energy fusion system in a smart park. The results show that the scheme improves the security of the whole system and ensures the efficient operation of the energy utilization system.
- (2)
- Studies performed from the perspective of smart contracts are as follows. In [71], smart contracts were used to automate the bidding process in trading according to smart cities’ energy supply and demand. This process was applied to urban energy management, and the results show that the feasible scheme can improve the flexibility of pricing and security. Lu et al. [72] proposed a smart contract of power transaction and fee settlement of power grid enterprises based on blockchain technology and the transaction model using a smart contract. A transaction model was established and applied to an example of buying and selling electrical smart contract. The results verify the scheme can reduce the trust cost of the electricity market transaction, improve settlement efficiency, and promote the intelligence of electricity retail market.
- (3)
- Studies on the pricing mechanism include the following: Wang et al. [73] adopted a contract model to solve the problem of cloud computing resource allocation and pricing in the mobile blockchain. An adverse selection contract solution was selected to overcome information asymmetry and applied to resource management. The verification results show that this scheme can improve user rewards and is more effective than linear pricing contracts. Wang et al. [74] proposed a multi-propensity factor pricing mechanism based on the dynamic adjustment of real-time information of the electricity/hydrogen energy market. The pricing mechanism proposed in this work can improve renewable energy’s operational efficiency and consumption rate. The aforementioned scheme [69] is also intended to be applied to the pricing system. Devine et al. [75] described a framework that can simulate the price dynamics of organic token trading activities between generators and consumers. They applied it in the demurrage scenario of power transactions, and explored the relationship between the equilibrium price and time-sensitivity of bilateral transactions of blockchain tokens. Oprea et al. [76] proposed four blockchain transaction mechanisms, including classical auction and pricing mechanisms (such as UP, PAB, GSP, and VCG), and applied them to a scenario containing 11 modern smart residential power transactions. The verification results show that this scheme can improve the flexibility and profitability of trading. Oprea et al. [77] proposed two novel and efficient P2P power exchange settlement mechanisms (global balancing settlement and split settlement), and applied them to a small residential community scenario. The verification results show that the two new mechanisms can improve the performance of classic pairwise settlement. Wang et al. [78] established a new Stackelberg game with consortium blockchain as the main body. A cost-driven and lightweight MAC layer resource allocation method was proposed and applied to multimedia transmission market scenarios. The results show that the video quality and social benefits are improved while security is ensured. A pricing model of local Partially-practical Byzantine Fault-tolerant (PBFT) consortium blockchain was proposed based on the game theory [79]. In the proposed model, the interaction between the buyers and sellers as well as between the sellers was taken into account. An example was explored to verify it, and research shows that P2P e-commerce transactions can provide more benefits for consumers. Xia et al. [80] proposed a blockchain-based vehicle-to-vehicle power transaction scheme for the internet of vehicles based on the Bayesian game pricing. Experimental results show that the scheme is safe and reliable and can obtain more benefits for vehicle users.
- (4)
- Some authors have given recommendations on the billing system. A study [81] proposed a hybrid billing and charging framework based on blockchain distributed consensus and applied it to energy case scenarios. The verification results show that this scheme can protect user privacy and provide credit sharing functions for Internet of Things users. Khan et al. [57] also proposed a charging payment system for electric vehicles based on blockchain technology. This scheme can increase trust, transparency, and privacy among participants of electric vehicles.
7. Application of Blockchain in Power Transmission and Distribution
- (1)
- Optimized algorithms are used in power transmission and distribution networks. For example, in the study by Shah et al. [82], a distributed-consensus based alternate direction multiplication optimization algorithm was proposed, which contains the subproblems of private cost function and constraints. Distributed feeders were divided into low coupling subnetworks/regions, which solved the private subproblems locally and exchanged information with the adjacent regions to reach a consensus. The proposed scheme was applied to distribution networks with coupled and mixed-integer constraints. Results show that the proposed algorithm has a fast convergence speed and strong reliability. AlSkaif et al. [83] proposed a consensus-based distributed optimization algorithm using the general form of the alternate direction multiplication method, and designed a decentralized optimized power flow in the distribution network. They applied it in a private blockchain-smart contract platform, and the results show that the algorithm and framework guarantee the system’s security.
- (2)
- Some scholars have researched improving the energy efficiency of the distribution network. For example, Luo et al. [84] proposed an agent alliance mechanism to enable consumers to form an alliance and negotiate a distributed electricity trading system based on the active distribution network. Their approach adopted a transaction settlement mechanism based on blockchain. The system consisted of a two-layer network. The scheme was validated in a P2P environment with multiple numbers of consumers. Their simulation results show that the proposed power trading mechanism could effectively promote energy sharing between users and improve the energy efficiency of the distribution network. Bischi et al. [85] proposed an ad-hoc consortium blockchain based on Ethereum and designed a local low-voltage point-to-point power market. The application of this scheme can strengthen the point-to-point energy exchange, improve intelligence levels, relieve the pressure from the transmission and distribution network, and improve transmission and distribution efficiency.
- (3)
- A few studies have been performed from the perspective of energy transactions and applied to distribution networks. Liu et al. [86] proposed a distributed P2P day-ahead transaction method under the congestion management of multiple micro-networks in active distribution networks, and analyzed the effect of the P2P transaction on the operation of the microgrids system with specific indicators. The simulation results show that network congestion as well as network loss were alleviated. In addition, the economic and technological interests of all market players were ensured. Li et al. [87] proposed a new energy trading framework that dealt with economic issues in energy trading and technical issues in the distribution system operation in a holistic manner. They applied it to IEEE 37 bus and 123 bus distributed systems for simulation experiments, and the results show that the framework can improve the economy and voltage safety performance.
- (4)
- Studies have been carried out on energy routers in the transmission and distribution networks. For example, Gong et al. [88] studied the operation of energy routers in the transmission and distribution networks with high permeability renewable energy access. In addition to applying blockchain technology to combine the energy flow quality of service index with the independent cooperation mode of the energy router nodes, the autonomous energy cooperative optimization mechanism and control flow of the router nodes in the power transmission and distribution network were designed. Simulation results show that this scheme can improve the output of routing nodes and optimize the transmission and distribution network.
8. Discussion
8.1. Discussion 1
8.2. Discussion 2
9. Conclusions and Prospects
9.1. Conclusions
9.2. Prospects for the Applications of the Blockchain Technology in Modern Power Systems
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Statistics | Research on Blockchain Technology in Power Dispatching | Research on Blockchain Technology in Microgrid | Research on Blockchain Technology in the Energy Market | Research on Blockchain Technology in Electricity Billing | Research on Blockchain in Power Transmission and Distribution |
---|---|---|---|---|---|
Number of references in recent three years | 11 | 24 | 27 | 14 | 7 |
Database | web of science | web of science | web of science | web of science | web of science |
Number of latest papers | 3 | 1 | 2 | 1 | 0 |
Number of review | 0 | 2 | 4 | 0 | 0 |
Number of research articles | 11 | 22 | 23 | 14 | 7 |
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Wang, X.; Yao, F.; Wen, F. Applications of Blockchain Technology in Modern Power Systems: A Brief Survey. Energies 2022, 15, 4516. https://doi.org/10.3390/en15134516
Wang X, Yao F, Wen F. Applications of Blockchain Technology in Modern Power Systems: A Brief Survey. Energies. 2022; 15(13):4516. https://doi.org/10.3390/en15134516
Chicago/Turabian StyleWang, Xiuli, Fang Yao, and Fushuan Wen. 2022. "Applications of Blockchain Technology in Modern Power Systems: A Brief Survey" Energies 15, no. 13: 4516. https://doi.org/10.3390/en15134516
APA StyleWang, X., Yao, F., & Wen, F. (2022). Applications of Blockchain Technology in Modern Power Systems: A Brief Survey. Energies, 15(13), 4516. https://doi.org/10.3390/en15134516