Demand response for aggregated residential consumers with energy storage sharing

Kaveh Paridari, Alessandra Parisio, Henrik Sandberg, Karl Henrik Johansson

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    A novel distributed algorithm is proposed in this paper for a network of consumers coupled by energy resource sharing constraints, which aims at minimizing the aggregated electricity costs. Each consumers is equipped with an energy management system that schedules the shiftable loads accounting for user preferences, while an aggregator entity coordinates the consumers demand and manages the interaction with the grid and the shared energy storage system (ESS) via a distributed strategy. The proposed distributed coordination algorithm requires the computation of Mixed Integer Linear Programs (MILPs) at each iteration. The proposed approach guarantees constraints satisfaction, cooperation among consumers, and fairness in the use of the shared resources among consumers. The strategy requires limited message exchange between each consumer and the aggregator, and no messaging among the consumers, which protects consumers privacy. Performance of the proposed distributed algorithm in comparison with a centralized one is illustrated using numerical experiments.

    Original languageEnglish
    Title of host publication2015 54th IEEE Conference on Decision and Control, CDC 2015
    PublisherIEEE
    Pages2024-2030
    Number of pages7
    Volume2016-February
    ISBN (Electronic)9781479978861
    DOIs
    Publication statusPublished - 8 Feb 2016
    Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
    Duration: 15 Dec 201518 Dec 2015

    Conference

    Conference54th IEEE Conference on Decision and Control, CDC 2015
    Country/TerritoryJapan
    CityOsaka
    Period15/12/1518/12/15

    Keywords

    • Demand response
    • distributed scheduling algorithms
    • mixed integer linear programming

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