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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Secure and Robust Demand Response Using Stackelberg Game Model and Energy Blockchain.

Mikhak Samadi1, Sushmita Ruj2, Henry Schriemer1

  • 1School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

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Summary

This study introduces an energy blockchain to secure smart grid demand response (DR) transactions. It enhances security, privacy, and settlement robustness, improving customer profits and detecting malicious activities.

Keywords:
consensus algorithmenergy blockchainmixed-strategy Stackelberg gamesmart contractstochastic DR model

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Area of Science:

  • Smart Grid Technology
  • Blockchain Applications
  • Energy Systems Security

Background:

  • Existing smart grid literature lacks integrated solutions for security, privacy, and settlement robustness in demand response (DR).
  • The increasing integration of Internet of Things (IoT) devices necessitates enhanced security and robustness in energy transactions.
  • Demand response programs are crucial for grid stability but require secure and reliable settlement mechanisms.

Purpose of the Study:

  • To propose a novel energy blockchain framework for securing energy transactions in smart grids.
  • To develop a mixed-strategy stochastic game model for optimizing demand response decisions under uncertainty.
  • To enhance the security, privacy, and robustness of DR settlement processes.

Main Methods:

  • Utilizing an energy blockchain to secure transactions and store DR agreements as distributed ledgers.
  • Formulating a mixed-strategy stochastic game model to optimize DR contributions and decisions.
  • Employing customer hardware for block mining and smart contracts for transaction validation.
  • Validating the scheme using real-world residential demand profiles and photovoltaic (PV) generation data.

Main Results:

  • Demonstrated that electric vehicle (EV) discharging and customer demand reduction positively impact block mining success and customer profitability.
  • Validated the security and robustness of the proposed consensus algorithm in detecting malicious activities.
  • Showcased the effectiveness of the energy blockchain in securing energy transactions and DR agreements.

Conclusions:

  • The proposed energy blockchain framework effectively addresses the security, privacy, and robustness gaps in smart grid demand response settlement.
  • The integration of blockchain technology and stochastic game modeling offers a promising approach for secure and efficient energy management.
  • The findings highlight the potential of leveraging customer-side resources like EVs for grid optimization and enhanced profitability.