Mathematical modelling for wind energy integration studies

1 hour 38 mins 47 secs, 90.45 MB, MP3 44100 Hz, 125.01 kbits/sec

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Description:	O'Malley, M (Dublin) Wednesday 26 May 2010, 11:00-12:15

Created:

2010-05-28 16:04

Collection:

Stochastic Processes in Communication Sciences

Publisher:

Isaac Newton Institute

O'Malley, M

Language:

eng (English)

Credits:

Author:	O'Malley, M
Producer:	Steve Greenham


Abstract:	Driven by concerns over climate chnge, there is a drive to connect increasing volumes of renewable generation in electrical power systems worldwide. This creates a major change in the nature of power systems, as the availability of renewable generating capacity is a primarily matter of resource availability (e.g. how windy it is); by contrast, the availability of conventional generation capacity (coal, gas, hydro, nuclear etc) is primarily a matter of mechanical availability as long as an adequate fuel supply is available. This tutorial will review existing applications of mathematical modelling in wind integration studies worldwide. This will include: - statistical characterisation of the wind resource - stochastic optimisation of power systems with wind - probabilistic models to determine network upgrade requirements for connecting wind generation - quantification of wind generation's contribution to supporting demand It will further describe open modelling challenges looking forward to ever higher volumes of wind generation.

Abstract:

Driven by concerns over climate chnge, there is a drive to connect increasing volumes of renewable generation in electrical power systems worldwide. This creates a major change in the nature of power systems, as the availability of renewable generating capacity is a primarily matter of resource availability (e.g. how windy it is); by contrast, the availability of conventional generation capacity (coal, gas, hydro, nuclear etc) is primarily a matter of mechanical availability as long as an adequate fuel supply is available.
This tutorial will review existing applications of mathematical modelling in wind integration studies worldwide. This will include: - statistical characterisation of the wind resource - stochastic optimisation of power systems with wind - probabilistic models to determine network upgrade requirements for connecting wind generation - quantification of wind generation's contribution to supporting demand It will further describe open modelling challenges looking forward to ever higher volumes of wind generation.

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