Distributed demand response algorithms against semi-honest adversaries

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    8 Scopus citations

    Abstract

    This paper investigates two problems for demand response: demand allocation market and demand shedding market. By utilizing reinforcement learning, stochastic approximation and secure multi-party computation, we propose two distributed algorithms to solve the induced games respectively. The proposed algorithms are able to protect the privacy of the market participants, including the system operator and end users. The algorithm convergence is formally ensured and the algorithm performance is verified via numerical simulations.

    Original languageEnglish (US)
    Article number6939191
    JournalIEEE Power and Energy Society General Meeting
    Volume2014-October
    Issue numberOctober
    DOIs
    StatePublished - Oct 29 2014
    Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
    Duration: Jul 27 2014Jul 31 2014

    All Science Journal Classification (ASJC) codes

    • Energy Engineering and Power Technology
    • Nuclear Energy and Engineering
    • Renewable Energy, Sustainability and the Environment
    • Electrical and Electronic Engineering

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