EEPOS automation and energy management system for neighbourhoods with high penetration of distributed renewable energy sources: A concept

Birthe Klebow, Arturs Purvins, Kalevi Piira, Veijo Lappalainen, Florian Judex

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

    6 Citations (Scopus)

    Abstract

    This article presents the concept of an automation and energy management system for neighbourhoods with high penetration of distributed renewable energy sources. It will be developed in the frame of the European FP7 research project EEPOS (Energy management and decision support systems for Energy POSitive neighbourhoods). The EEPOS system shows a semi-centralized structure where energy management is carried out on two levels: neighbourhood (centralized) and building (decentralized). The main aims of the neighbourhood level energy management system are (i) matching of local electricity generation and consumption, (ii) congestion management in local electricity grids and (iii) power balancing on electricity market level. These aims will be achieved by shifting of controllable electrical loads. Additional functions of the EEPOS system are statistical data analysis and end-user involvement in energy management processes
    Original languageEnglish
    Title of host publication2013 IEEE International Workshop on Intelligent Energy Systems (IWIES)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages89-94
    ISBN (Print)978-1-4799-1135-6
    DOIs
    Publication statusPublished - 2013
    MoE publication typeA4 Article in a conference publication
    EventIEEE International Workshop on Intelligent Energy Systems, IWIES 2013 - Vienna, Austria
    Duration: 14 Nov 201314 Nov 2013

    Conference

    ConferenceIEEE International Workshop on Intelligent Energy Systems, IWIES 2013
    Abbreviated titleIWIES 2013
    Country/TerritoryAustria
    CityVienna
    Period14/11/1314/11/13

    Keywords

    • Ancillary services
    • demand response
    • energy management
    • load shifting
    • microgrid
    • peak load shaving
    • smart grid

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