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Sustainable microgrid design considering blockchain technology for real-time price based demand response programs

  • Yu-Chung Tsao
  • , Vo-Van Thanh
  • , Qiuwei Wu
    • National Taiwan University of Science and Technology

    Research output: Contribution to journal › Journal article › Research › peer-review

    438 Downloads (Orbit)

    Abstract

    In recent years, rapidly increasing electric power demand and organizational concerns regarding social and environmental issues have resulted in significant attention being given to microgrids. However, sustainable microgrids that simultaneously address economic benefits and environmental and social issues have not been broadly explored by researches. This study addresses the sustainable microgrid design problem by leveraging blockchain technology to provide the real time-based demand response programs. Three sustainable objectives (economy, environment, and society) are formulated by a multi-objective mixed integer-linear programming model. A robust fuzzy multi-objective optimization approach is proposed to determine the optimal number, location, and capacity of renewable distributed generation units as well as the equilibrium supply and dynamic pricing decisions under uncertain demand, capacity, and economic, environmental, and social parameters. The proposed model and solution approach are then applied to a case study in Vietnam. We find that blockchain technology based sustainable microgrid can result in a 1.68% and 2.61% increase of profitability and consumer satisfaction, respectively, and a 0.97% reduction of environmental impacts.
    Original languageEnglish
    Article number106418
    JournalInternational Journal of Electrical Power & Energy Systems
    Volume125
    Number of pages27
    ISSN0142-0615
    DOIs
    Publication statusPublished - 2020

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • Sustainability
    • Microgrid
    • Blockchain technology
    • Demand response
    • Robust multi objective optimization
    • Fuzzy programming

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