DocumentCode :
648245
Title :
Quantifying flexibility for smart grid services
Author :
MacDougall, Pamela ; Roossien, Bart ; Warmer, Cor ; Kok, Koen
Author_Institution :
Smart Grids Group, TNO, Delft, Netherlands
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
Renewable energy sources and other types of distributed generation are becoming ever more present in todays power supply mix. In addition, a change in electric load is being seen with the increase in electric heating and electric vehicles. These additions may create a number of challenges in the current electrical grid. At DSO level problems in substation congestion and voltage and frequency instability can be seen, as well at TSO level imbalances due to fluctuations in supply (e.g. wind power). One way of handling these added complexities is to utilize the flexibility in consumption and production that is available in the power grid. There are many types of currently unused flexibility. In this paper we consider one of the largest types of available flexibility with small devices at the distribution level, the thermal buffer in combination with electric heat pumps or combined heat and power units. A major obstacle in utilizing such flexibility is the inability to estimate at the DSO or TSO level the amount of power which can be ramped up and down as well as how long it can be sustained. In this paper we demonstrate how these characteristics can be estimated by creating quantifying formulas. Further, we validate these equations with a number of scenarios using thermal electric devices which are modeled based on currently installed, real world installations. These characteristics indeed can be accurately estimated given that some specifics of the systems available are known. Finally we discuss the benefits to different stakeholders of such knowledge.
Keywords :
cogeneration; electric heating; heat pumps; smart power grids; DSO level problems; TSO level imbalances; combined heat and power units; current electrical grid; distributed generation; distribution level; electric heat pumps; electric heating; electric load; electric vehicles; frequency instability; power grid; power supply mix; renewable energy sources; smart grid services; substation congestion; thermal buffer; thermal electric devices; Electricity; Equations; Estimation; Heat pumps; Mathematical model; Resistance heating; Demand Response; Distributed Generation; Renewable Energy Sources; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672817
Filename :
6672817
Link To Document :
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