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A Hierarchical Control Framework With a Novel Bidding Scheme for Residential Community Energy Optimization

Priti Paudyal,Prateek Munankarmi,Z. Ni,T. Hansen

Published 2020 in IEEE Transactions on Smart Grid

ABSTRACT

Residential energy optimization provides economic and reliability benefits to the electric utility and consumers. Two major challenges in community energy optimization are: 1) to efficiently coordinate among a large number of residential consumers’ electric appliances and 2) to ensure participating consumers are comfortable and are rewarded with financial incentives during demand reduction. This paper proposes a hierarchical control framework with a novel bidding scheme that manages the use of consumers’ electric appliances while satisfying utility demand reduction requests. A new demand reduction bidding strategy is introduced for the efficient coordination among several local controllers (LCs) under a central controller (CC) in the proposed framework. Incentives are provided to the residential consumers for their participation, while considering their preferences, using a continuous reward structure. A simulation study on the 6-bus Roy Billinton test system with 1200 residential consumers demonstrates the financial benefits to the electric utility and consumers by performing a 6% demand reduction during peak times. The results show that the utility saves $28 217, and a residential consumer earns $9.37 on average for a one-hour demand reduction event (e.g., reducing 1.2 MW peak power). The reward scheme designed from this framework is more economical to utilities compared to existing utility reward schemes.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    IEEE Transactions on Smart Grid

  • Publication date

    2020-01-01

  • Fields of study

    Business, Engineering, Environmental Science, Computer Science

  • Identifiers
    DOI 10.1109/TSG.2019.2927928
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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