1887

n ORiON - Application of stochastic programming to electricity generation planning in South Africa

Volume 35 Number 2
  • ISSN : 0259-191X
  • E-ISSN: 2224-0004
USD

 

Abstract

A two-stage stochastic programming model is used to solve the electricity generation planning problem in South Africa for the period 2013 to 2050, in an attempt to minimise expected cost. Costs considered are capital and running costs. Unknown future electricity demand is the source of uncertainty represented by four scenarios with equal probabilities. The results show that the main contributors for new capacity are coal, wind, hydro and gas/diesel. The minimum costs obtained by solving the two-stage stochastic programming models range from R2 201 billion to R3 094 billion.

Loading full text...

Full text loading...

Loading

Article metrics loading...

/content/journal/10520/EJC-1ae17fc1ae
2019-12-01
2020-09-24

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error