Blockchain Enabled Distributed Demand Side Management in Community Energy System With Smart Homes

Existing work in energy demand side management focuses on the interaction between the utility grid and consumers. However, the previous technique is not focused on energy trading in local community of a renewable energy generation, distributed demand side management and not suitable for real-time environment. This paper presents a distributed demand side management system among multiple homes in community microgrid, with the integration of the internet of things smart meter and in the presence of renewable energy sources. The proposed energy consumption game is formulated for minimizing the cost of electricity in the individual home and the total cost of energy consumption in the whole community. The smart home users are playing game by optimizing their own daily energy consumption of appliances. The multiple participants include the self renewable generation of users, shared community microgrid and optional utility company. Each participant applies its best strategy to minimize energy consumption cost and users can maintain their own privacy of energy consumption. Moreover, the proposed scheme is distributed on blockchain, which provides a trusted communication medium between the participants. It enforces the autonomous monitoring of smart appliances and the billing of electricity consumption via smart contracts. Solidity smart contract is deployed to facilitate the execution of transactions without the involvement of third party in the smart community. Comparison of the results show that the proposed approach minimizes the total cost of energy consumption as well as each user’s energy consumption cost.

[1]  Kankar Bhattacharya,et al.  Optimal Operation of Residential Energy Hubs in Smart Grids , 2012, IEEE Transactions on Smart Grid.

[2]  Qi Huang,et al.  Efficient energy resource scheduling for sustainable diversified farming , 2017 .

[3]  Maher Kayal,et al.  Cooperative energy management of a community of smart-buildings: A Blockchain approach , 2020 .

[4]  Haibo He,et al.  Automated Demand Response Framework in ELNs: Decentralized Scheduling and Smart Contract , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[5]  Xiaojiang Du,et al.  Blockchain-Based Distributed Energy Trading in Energy Internet: An SDN Approach , 2019, IEEE Access.

[6]  Alagan Anpalagan,et al.  Appliance Scheduling Optimization in Smart Home Networks , 2015, IEEE Access.

[7]  Ozan Çakir,et al.  Energy Policy Instruments for Distributed Ledger Technology Empowered Peer-to-Peer Local Energy Markets , 2019, IEEE Access.

[8]  S. M. Muyeen,et al.  Blockchain Applications in Smart Grid–Review and Frameworks , 2019, IEEE Access.

[9]  Xiaonan Wang,et al.  Energy Demand Side Management within micro-grid networks enhanced by blockchain , 2018, Applied Energy.

[10]  Alagan Anpalagan,et al.  Internet of Things for Smart Cities: Overview and Key Challenges , 2018, Internet of Things for Smart Cities.

[11]  Marcel Antal,et al.  Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids , 2018, Sensors.

[12]  Bakhtyar Hoseinzadeh,et al.  A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources , 2016, 2016 IEEE International Conference on Electro Information Technology (EIT).

[13]  Qi Huang,et al.  Blockchain Based Domestic Appliances Scheduling in Community Microgrids , 2019, 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).

[14]  Xiaohong Zhang,et al.  Consortium Blockchain Based Data Aggregation and Regulation Mechanism for Smart Grid , 2019, IEEE Access.

[15]  Zhiyi LI,et al.  Cyber-secure decentralized energy management for IoT-enabled active distribution networks , 2018, Journal of Modern Power Systems and Clean Energy.

[16]  Ping He,et al.  Design and management of a distributed hybrid energy system through smart contract and blockchain , 2019, Applied Energy.

[17]  Shahram Jadid,et al.  Optimal joint scheduling of electrical and thermal appliances in a smart home environment , 2015 .

[18]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.

[19]  Ruggero Schleicher-Tappeser,et al.  How renewables will change electricity markets in the next five years , 2012 .

[20]  Petr Korba,et al.  Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal , 2019, IEEE Access.

[21]  Jin Yang,et al.  Optimal planning and operational management of open-market community microgrids , 2019 .

[22]  Paulien M. Herder,et al.  Energetic communities for community energy: A review of key issues and trends shaping integrated community energy systems , 2016 .