EconPapers    
Economics at your fingertips  
 

An Electricity Procurement Model with Energy and Peak Charges

A. B. Philpott and G. Pritchard
Additional contact information
A. B. Philpott: Department of Engineering Science, The University of Auckland, Private Bag 92019, Auckland, New Zealand
G. Pritchard: Department of Statistics, The University of Auckland, Private Bag 92019, Auckland, New Zealand

Chapter 14 in Stochastic Programming:Applications in Finance, Energy, Planning and Logistics, 2013, pp 399-419 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractWe describe a model developed to help minimize the energy procurement costs of a New Zealand process industry that is a high user of electricity. The model accounts for stochastic prices that depend on the hydrological state of the electricity system, as well as transmission charges that are incurred during coincident electricity peaks. We describe how these are modelled and derive a stochastic dynamic programming algorithm that is used to arrange production to meet demand while minimizing the expected costs of electricity procurement.

Keywords: Stochastic Programming; Optimization with Scenarios; Finance; Energy; Production and Logistics Applications (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789814407519_0014 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789814407519_0014 (text/html)
Ebook Access is available upon purchase.

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:wsi:wschap:9789814407519_0014

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-04-02
Handle: RePEc:wsi:wschap:9789814407519_0014