Risk-return incentives in liberalised electricity markets

Energy Economics

Volumn 40, Issue , 2013, Pages 598-608

  Lynch, Muireann Á ^a   Shortt, Aonghus ^a   Tol, Richard S J ^b,c   O'Malley, Mark J ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b UNIVERSITY OF SUSSEX   (United Kingdom)

^c VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

Electricity generation investment; Mean variance portfolio theory; Monte Carlo simulation

Indexed keywords

ANCILLARY SERVICE; BASE LOAD GENERATION; ECONOMIC DISPATCH; ELECTRICITY GENERATION; ELECTRICITY-GENERATION TECHNOLOGY; LIBERALISED ELECTRICITY MARKET; MEAN-VARIANCE PORTFOLIO THEORIES; MONTE CARLO ANALYSIS;

COMMERCE; COSTS; ELECTRIC GENERATORS; INVESTMENTS; MONTE CARLO METHODS; SCHEDULING; TECHNOLOGY;

ECONOMICS;

CAPITAL FLOW; ELECTRICITY SUPPLY; HEURISTICS; INCENTIVE; INVESTMENT; MONTE CARLO ANALYSIS;

EID: 84884547298     PISSN: 01409883     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eneco.2013.08.015     Document Type: Article

References (26)

1. Abdul-Rahman K., Alarian H., Rothleder M., Ristanovic P., Vesovic B., Lu B. Enhanced system reliability using flexible ramp constraint in CAISO market. IEEE Power and Energy Society General Meeting 2012.
2. Awerbuch S. Investing in photovoltaics: risk, accounting and the value of new technology. Energy Policy 2000, 28:1023-1035.
3. Awerbuch S. Towards a finance-oriented valuation of conventional and renewable energy sources in Ireland. Report Prepared for Sustainable Energy Ireland, Perspective from Abroad Series 2004, (Sustainable Energy, Ireland).
4. Awerbuch S. Output variability as an issue surrounding the integration of wind in Ireland. Intermittency Briefing Paper 2005.
5. Bar-Lev D., Katz S. A portfolio approach to fossil fuel procurement in the electric utility industry. J. Finance 1976, 31:933-947.
6. CAISO Flexible ramping products, draft final proposal Available online. http://www.caiso.com/Documents/DraftFinalProposal-FlexibleRampingProduct.pdf.
7. Commission E. Directive 2009/28/ec of the european parliament and of the council of 23 April 2009 on the promotion of the use of energy from renewable sources and amending and subsequently repealing directives 2001/77/ec and 2003/30/ec Available online. http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:140:0016:0062:EN:PDF.
8. Delarue E., De Jonghe C., Belmans R., D'haeseleer W. Applying portfolio theory to the electricity sector: energy versus power. Energy Econ. 2011, 33:12-23.
9. Doherty R., Outhred H., O'Malley M.J. Establishing the role that wind generation may have in future generation portfolios. IEEE Trans. Power Syst. 2006, 21:1415-1422.
10. Eager D., Hobbs B., Bialek J. Dynamic modeling of thermal generation capacity investment: application to markets with high wind penetration. IEEE Trans. Power Syst. 2012, 27:2127-2137.
11. EirGrid Ensuring a secure, reliable and efficient power system in a changing environment Available online. http://www.eirgrid.com/media/Ensuring_a_Secure_Reliable_and_Efficient_Power_System_Report.pdf.
12. Hobbs B. Optimization methods for electric utility resource planning. Eur. J. Oper. Res. 1995, 83:1-20.
13. Humphreys B., McClain K. Reducing the impacts of energy price volatility through dynamic portfolio selection. Energy J. 1998, 19:107-132.
14. IEA World Energy Outlook 2011 2011.
15. Jansen J., Beurskens L., Van Tilburg X. Application of portfolio analysis to the Dutch generating mix. Energy Research Center at the Netherlands (ECN) Report C-05-100 2006.
16. Markowitz H. Portfolio selection. J. Finance 1952, 7:77-91.
17. NREL Cost and performance data for power generation technologies Available online. http://bv.com/docs/reports-studies/nrel-cost-report.pdf.
18. Ortega-Vazquez M.A., Kirschen D.S. Estimating the spinning reserve requirements in systems with significant wind power generation penetration. IEEE Trans. Power Syst. 2009, 24:114-124.
19. Roques F., Newbery D., Nuttall W. Fuel mix diversification incentives in liberalized electricity markets: a mean-variance portfolio theory approach. Energy Econ. 2008, 30:1831-1849.
20. Roques F., Hiroux C., Saguan M. Optimal wind power deployment in Europe - a portfolio approach. Energy Policy 2010, 38:3245-3256.
21. SEMO Commercial Offer Data - Standard Generator Unit 2011.
22. Shortt A., Kiviluoma J., O'Malley M.J. Accommodating variability in generation planning. IEEE Trans. Power Syst. 2013, 28:158-169.
23. Troy N., Denny E., O'Malley M.J. Base-load cycling on a system with significant wind penetration. IEEE Trans. Power Syst. 2010, 25:1088-1097.
24. Turvey R., Anderson D. Electricity Economics: Essays and Case Studies 1977.
25. Twomey P., Neuhoff K. Wind power and market power in competitive markets. Energy Policy 2010, 38:3198-3210.
26. Weron R. Modeling and forecasting electricity loads and prices: a statistical approach. Number Hsbook0601 in HSC Books 2006, Hugo Steinhaus Center, Wroclaw University of Technology, (Available online: http://ideas.repec.org/b/wuu/hsbook/hsbook0601.html).