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Energy-Efficient Computing and Networking. First International Conference, E-Energy 2010, Athens, Greece, October 14-15, 2010, Revised Selected Papers

Research Article

Suppressing Peak Load at Simultaneous Demand of Electric Heating in Residential Areas

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  • @INPROCEEDINGS{10.1007/978-3-642-19322-4_10,
        author={Olaf Pruissen and Ren\^{e} Kamphuis},
        title={Suppressing Peak Load at Simultaneous Demand of Electric Heating in Residential Areas},
        proceedings={Energy-Efficient Computing and Networking. First International Conference, E-Energy 2010, Athens, Greece, October 14-15, 2010, Revised Selected Papers},
        proceedings_a={E-ENERGY},
        year={2012},
        month={10},
        keywords={Multi-agent simulation electric heating residential distribution station peak shaving},
        doi={10.1007/978-3-642-19322-4_10}
    }
    
  • Olaf Pruissen
    René Kamphuis
    Year: 2012
    Suppressing Peak Load at Simultaneous Demand of Electric Heating in Residential Areas
    E-ENERGY
    Springer
    DOI: 10.1007/978-3-642-19322-4_10
Olaf Pruissen1,*, René Kamphuis1,*
  • 1: Energy Research Centre Netherlands, ECN
*Contact email: vanpruissen@ecn.nl, kamphuis@ecn.nl

Abstract

High peak loads at distribution stations in domestic residences are expected where heating is provided merely by heat pumps with additional electric heating. Two scenarios are studied: the event of a black start and high electricity demand on a day with a very low outdoor temperature. The simulation is done with agents representing up to 100 dwellings based on PowerMatcher technology. The results demonstrate significant peak load reduction can be achieved at the expense of only a small decrease of comfort. This allows the usage of smaller load transformer units, reduces grid losses and benefits the lifetime of medium and low voltage transmission cables.

Keywords
Multi-agent simulation electric heating residential distribution station peak shaving
Published
2012-10-17
http://dx.doi.org/10.1007/978-3-642-19322-4_10
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