Controlling smart grid adaptivity

Methods are discussed for planning oriented smart grid control to cope with scenarios with limited predictability, supporting an increasing penetration of stochastic renewable resources. The performance of these methods is evaluated with simulations using measured wind generation and consumption dat...

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Bibliographic Details
Published in2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) pp. 1 - 8
Main Authors Toersche, H. A., Nykamp, S., Molderink, A., Hurink, J. L., Smit, G. J. M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Context
Electricity
Energy management
Home appliances
linear programming
Optimization
Planning
Pricing
Smart grids
wind energy
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Summary:Methods are discussed for planning oriented smart grid control to cope with scenarios with limited predictability, supporting an increasing penetration of stochastic renewable resources. The performance of these methods is evaluated with simulations using measured wind generation and consumption data. Forecast errors are shown to affect worst case behavior in particular, the severity of which depends on the chosen adaptivity strategy and error model.
ISBN:1467325953
9781467325950
ISSN:2165-4816
2165-4824
DOI:10.1109/ISGTEurope.2012.6465748