Abstract
Research on residential smart metering based demand
response in Finland is presented.
Hourly interval metering and settlement of practically
every customer started in the beginning
of 2014 as required by the electricity market legislation
that aimed at enabling new forms of
demand response. To some extent this already happened. 1)
Customers are now offered home
automation based demand response, including fuel
switching. 2) There is about 1 GW of
Time of Use (ToU) load, and new smart metering and
settlement made it possible to make a
substantial part of it dynamically respond to situations
in the electricity market and network.
Helsinki Energy and its partners developed an operational
model for market based dynamic
load control to replace static ToU load controls, and
implemented it with smart meters. 3)
Loiste in Kainuu has implemented smart metering based
direct load control of residential ToU
customers and the response is used as system reserve.
The value of demand response depends very much on the
accuracy of response forecasting.
Both in Helsinki and Kainuu field tests to support
response modelling were completed in
winter 2014. This paper describes the field tests and
related model development for
forecasting and optimising the load responses
Original language | English |
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Title of host publication | 11th Nordic Conference on Electricity Distribution System Management and Development |
Subtitle of host publication | NORDAC 2014 |
Place of Publication | Stockholm |
Number of pages | 8 |
Publication status | Published - 2014 |
MoE publication type | B3 Non-refereed article in conference proceedings |
Event | The 11th Nordic Electricity Distribution and Management Conference 2014 - Stockholm, Sweden Duration: 8 Sept 2014 → 9 Sept 2014 Conference number: 11 |
Publication series
Series | Elforsk Rapport |
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Number | 32 |
Volume | 14 |
ISSN | 1401-5706 |
Conference
Conference | The 11th Nordic Electricity Distribution and Management Conference 2014 |
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Abbreviated title | NORDAC 2014 |
Country/Territory | Sweden |
City | Stockholm |
Period | 8/09/14 → 9/09/14 |
Keywords
- demand response
- load modelling
- forecasting
- smart metering