A strategic review of electricity systems models
Electricity systems models are software tools used to manage electricity demand and the electricity systems, to trade electricity and for generation expansion planning purposes. Various portfolios and scenarios are modelled in order to compare the effects of decision making in policy and on business development plans in electricity systems so as to best advise governments and industry on the least cost economic and environmental approach to electricity supply, while maintaining a secure supply of sufficient quality electricity. The modelling techniques developed to study vertically integrated state monopolies are now applied in liberalised markets where the issues and constraints are more complex. This paper reviews the changing role of electricity systems modelling in a strategic manner, focussing on the modelling response to key developments, the move away from monopoly towards liberalised market regimes and the increasing complexity brought about by policy targets for renewable energy and emissions. The paper provides an overview of electricity systems modelling techniques, discusses a number of key proprietary electricity systems models used in the USA and Europe and provides an information resource to the electricity analyst not currently readily available in the literature on the choice of model to investigate different aspects of the electricity system.
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.:
- Al-Muhawesh, Tareq A. & Qamber, Isa S., 2008. "The prerequisite for competition in the restructured wholesale Saudi electricity market," Energy Policy, Elsevier, vol. 36(1), pages 477-484, January.
- Lucas, Nigel & Taylor, Peter, 1993. "Characterizing generator behaviour: bidding strategies in the pool: A game theory analysis," Utilities Policy, Elsevier, vol. 3(2), pages 129-135, April.
- Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
- Hobbs, Benjamin F., 1995. "Optimization methods for electric utility resource planning," European Journal of Operational Research, Elsevier, vol. 83(1), pages 1-20, May.
- Deane, J.P. & Ó Gallachóir, B.P. & McKeogh, E.J., 2010. "Techno-economic review of existing and new pumped hydro energy storage plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1293-1302, May.
- Carraretto, Cristian & Lazzaretto, Andrea, 2004. "A dynamic approach for the optimal electricity dispatch in the deregulated market," Energy, Elsevier, vol. 29(12), pages 2273-2287.
- Dyner, Isaac & Larsen, Erik R., 2001. "From planning to strategy in the electricity industry," Energy Policy, Elsevier, vol. 29(13), pages 1145-1154, November.
When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:35:y:2010:i:12:p:4522-4530. 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: (Dana Niculescu)
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.