Controlling smart grid adaptivity

Author

Toersche, Hermen A. ; Nykamp, S. ; Molderink, Albert ; Hurink, Johann L. ; Smit, Gerard J. M.

Author_Institution

Fac. of Electr. Eng., Math. & Comput. Sci., Univ. of Twente, Enschede, Netherlands

fYear

2012

fDate

14-17 Oct. 2012

Firstpage

1

Lastpage

8

Abstract

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.

Keywords

power generation control; renewable energy sources; smart power grids; stochastic processes; wind power plants; adaptivity strategy; consumption data; error model; limited predictability; smart grid adaptivity control; stochastic renewable resources; wind generation measurement; Context; Electricity; Home appliances; Optimization; Planning; Pricing; Smart grids; Energy management; linear programming; smart grids; wind energy;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on

Conference_Location

Berlin

ISSN

2165-4816

Print_ISBN

978-1-4673-2595-0

Electronic_ISBN

2165-4816

Type

conf

DOI

10.1109/ISGTEurope.2012.6465748

Filename

6465748