Taming Wind Energy with Battery Storage

Andreas T. Ernst () and Gaurav Singh ()
Additional contact information
Andreas T. Ernst: CSIRO Mathematical and Information Sciences
Gaurav Singh: CSIRO Mathematical and Information Sciences

A chapter in Operations Research Proceedings 2007, 2008, pp 199-204 from Springer

Abstract: Abstract The use of wind to generate electrical energy is becoming more popular around the world as global efforts are made to deal with green house gas emissions from more traditional sources of energy. In Australia wind energy is one of the technologies being promoted by mandatory renewable energy targets set by the government [1]. Even though wind energy is more economical and eco-friendly it has one significant problem. The electricity production is inherently highly variable and difficult to predict. Over longer time scales it means that it is difficult to match electricity generation to the daily and seasonal patterns of demand. On shorter time scales the higher frequency “noise” in electricity output causes problems for network stability and managing the short term dispatch of generators to meet demand.

Keywords: Wind Energy; Descent Method; Ramp Rate; Network Stability; Battery Capacity (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-540-77903-2_31

Ordering information: This item can be ordered from
http://www.springer.com/9783540779032

DOI: 10.1007/978-3-540-77903-2_31

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().