Demand Side Load Management for Big Industrial Energy Users Under Blockchain-Based Peer-to-Peer Electricity Market

Dang, Can; Zhang, Jiangfeng; Kwong, C. K.; Li, Li

doi:10.1109/tsg.2019.2904629

Cited by 97 publications

(49 citation statements)

References 33 publications

(47 reference statements)

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“…In terms of integration blockchain technology, few studies have focused on developing decentralized energy trading using blockchain technology [18] - [22]. For instance, the work in [18] proposes a two layers algorithm for blockchain based-energy trading negotiation and transaction settlement among grid connected networked prosumers.…”

Section: A Literature Review and Research Gapmentioning

confidence: 99%

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A Blockchain-Enabled Decentralized Energy Trading Mechanism for Islanded Networked Microgrids

2020

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Section: A Literature Review and Research Gapmentioning

confidence: 99%

“…An incentivizing method utilizing Nash bargaining theory is presented in [21]. In [22], the impact of applying load management on reducing the energy cost bought from a blockchain based P2P energy trading market is studied. Proof of Work (PoW) as the blockchain consensus method is used in this work.…”

Section: A Literature Review and Research Gapmentioning

confidence: 99%

A Blockchain-Enabled Decentralized Energy Trading Mechanism for Islanded Networked Microgrids

2020

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“…This included RER and intelligent controlling of residential heating and cooling system for smart grid that minimizes cost by controlling the smart devices. A novel market management structure (transaction rules) is proposed in [15], for industrial consumption that is implemented by block chain and peer-to-peer electricity market. This research work also investigates load management of demand side.…”

Section: Related Workmentioning

confidence: 99%

Multi Objective Based Framework for Energy Management of Smart Micro-Grid

et al. 2020

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The increasing demand of energy in the traditional grids is getting more complex, less feasible, harmful, uneconomical and high in power losses. This paper presents an efficient energy management approach to mitigate such issues with smart micro grid (SMG) and aims at a solution that is both cost effective and ecofriendly, within energy market paradigm. Goals are achieved with the help of Home Energy Management Controller (HEMC), Energy Market Management Controller (EMMC) and Control Agent (CA). The individual load is managed in the presence of local generation, storage system, user comfort, DGs and Utility within energy market paradigm. Two level energy management approach is proposed to achieve concerned goals. First is to manage load and schedule storage with respect to individual local generation and market pricing. Second is to manage energy market with the help of four different types of priorities and control agent input. The problem is solved with a variant of meta-heuristic method, Multi Objective Grey Wolf Optimization (MOGWO), which gives more comprehensive solution by comparing with Particle Swarm Optimization (PSO). The proposed methodology is implemented on a SMG based-community test system. Homes within that community have different economic conditions and personal priorities. Simulation results demonstrates achievement of aimed goals in presented work. INDEX TERMS Control agent, energy market management controller, multi objective grey wolf optimization, home energy management controller, local generation, market management, micro-grid, particle swarm optimization, renewable energy resources

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“…The blockchain is used to keep the energy coalition record regarding the amount of energy and its price while maintaining a healthy environment for energy consumers and prosumers. Dang et al [4] have proposed an energy market mechanism where blockchain is used to balance the load of energy consumption. Load management is done on a day-ahead basis.…”

Section: Introductionmentioning

confidence: 99%

A Blockchain-Based Load Balancing in Decentralized Hybrid P2P Energy Trading Market in Smart Grid

et al. 2020

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Local energy generation and peer to peer (P2P) energy trading in the local market can reduce the energy consumption cost, emission of harmful gases (as renewable energy sources are used to generate energy at user's premises) and increase the smart grid resilience. However, local energy trading with peers can have trust and privacy issues. A centralized system can be used to manage this energy trading but it increases the overall cost of the system and also faces several issues. In this paper, to implement a hybrid P2P energy trading market, a blockchain-based system is proposed. It is fully decentralized and allows the market members to interact with each other and trade energy without involving a third party. Smart contracts play a very important role in the blockchain-based energy trading market. They contain all the necessary rules for energy trading. We have proposed three smart contracts to implement the hybrid electricity trading market. The market members interact with the main smart contract, which requests P2P and prosumer to grid smart contracts for further processing. The main objectives of this paper are to propose a model to implement an efficient hybrid energy trading market while reducing cost and peak to average ratio of electricity.

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Demand Side Load Management for Big Industrial Energy Users Under Blockchain-Based Peer-to-Peer Electricity Market

Cited by 97 publications

References 33 publications

A Blockchain-Enabled Decentralized Energy Trading Mechanism for Islanded Networked Microgrids

A Blockchain-Enabled Decentralized Energy Trading Mechanism for Islanded Networked Microgrids

Multi Objective Based Framework for Energy Management of Smart Micro-Grid

A Blockchain-Based Load Balancing in Decentralized Hybrid P2P Energy Trading Market in Smart Grid

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