An improved mechanism for capacity payment based on system dynamics modeling for investment planning in competitive electricity environment
Many countries have experienced restructuring in their electric utilities. This restructuring has presented the power industries with new challenges, the most important of which is long-term investment planning under uncertain conditions. This paper presents an improved mechanism for capacity payment. The mechanism has been investigated based on system dynamic modeling. In our proposed mechanism, generators will recover a part of their investment through capacity payment. While the payment for any plant remains constant during the operation period, it depends on the investment needed to build it. The main factors affecting long-term planning have been considered in our model. The approach can be used to investigate the effects of fixed as well as variable capacity payment in market investment. We used the probability density function of load as a new concept to calculate average market price. Delays in unit constructions, estimation of demand, and market capacity growth during construction periods have been included in the proposed algorithm as parameters, which affect the regulator's decision for changing capacity payment. The model can be used by regulators to investigate strategies that may affect the fluctuations in the market.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ford, Andrew & Vogstad, Klaus & Flynn, Hilary, 2007. "Simulating price patterns for tradable green certificates to promote electricity generation from wind," Energy Policy, Elsevier, vol. 35(1), pages 91-111, January.
- Dyner, Isaac & Larsen, Erik R., 2001. "From planning to strategy in the electricity industry," Energy Policy, Elsevier, vol. 29(13), pages 1145-1154, November.
- Sterman, John D., 1988. "Modeling the formation of expectations : The history of energy demand forecasts," International Journal of Forecasting, Elsevier, vol. 4(2), pages 243-259.
- de Vries, Laurens & Heijnen, Petra, 2008. "The impact of electricity market design upon investment under uncertainty: The effectiveness of capacity mechanisms," Utilities Policy, Elsevier, vol. 16(3), pages 215-227, September.
- Gary, Shayne & Larsen, Erik Reimer, 2000. "Improving firm performance in out-of-equilibrium, deregulated markets using feedback simulation models," Energy Policy, Elsevier, vol. 28(12), pages 845-855, October.
- Olsina, Fernando & Garces, Francisco & Haubrich, H.-J., 2006. "Modeling long-term dynamics of electricity markets," Energy Policy, Elsevier, vol. 34(12), pages 1411-1433, August.
- Ford, Andrew, 1999. "Cycles in competitive electricity markets: a simulation study of the western United States," Energy Policy, Elsevier, vol. 27(11), pages 637-658, October.
- Arango, Santiago, 2007. "Simulation of alternative regulations in the Colombian electricity market," Socio-Economic Planning Sciences, Elsevier, vol. 41(4), pages 305-319, December.
- Ford, Andrew, 2001. "Waiting for the boom: : a simulation study of power plant construction in California," Energy Policy, Elsevier, vol. 29(11), pages 847-869, September.
When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:36:y:2008:i:10:p:3703-3713. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.