Load and response modelling workshop in project SGEM. 10 November 2011, Kuopio

Pekka Koponen (Editor), Jukka Saarenpää (Editor)

    Research output: Book/ReportReport

    Abstract

    Finnish national project Smart Grids and Energy Markets (SGEM) organised a workshop on modelling loads and demand responses for smart grids and energy markets. This report gives summaries of the presentations and results of the workshop. Presentations were given by experts working in project SGEM but also by the Spanish experts who developed load and response modelling in the European smart grids projects EU-DEEP, FENIX, and ADDRESS. The presentations by experts from Distribution Network Operators discussed 1) utilizing smart metering in network business and 2) analyzing and applying smart metering data for long term scenarios related to distribution network development. Presentations by research organizations covered 3) using smart metering measure-ment data in load profiling and network calculation, 4) DDM/CI approaches for analyzing and modelling loads using smart metering measurements and environmental data, 5) novel structuring of load profiles as building blocks, 6,7,8) physically based load response models for price response and direct load control, 9) bottom-up approach to response modelling, and 10) using building energy simulation for optimizing direct load control for a Virtual Power Plant. Load and response models are needed, when aggregating demand response for energy markets and balance management, and for electricity network operation, management, and planning. The value of demand response depends on how accurately the responses can be estimated, predicted and optimized.
    Original languageEnglish
    Place of PublicationEspoo
    PublisherVTT Technical Research Centre of Finland
    Number of pages161
    ISBN (Electronic)978-951-38-7802-3
    Publication statusPublished - 2011
    MoE publication typeNot Eligible

    Publication series

    SeriesVTT Working Papers
    Number188
    ISSN1459-7683

    Keywords

    • load models
    • demand response

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