Pricing Energy and Ancillary Services in a Day-Ahead Market for a Price-Taker Hydro Generating Company Using a Risk-Constrained Approach

This paper analyzes a price-taker hydro generating company which participates simultaneously in day-ahead energy and ancillary services markets. An approach for deriving marginal cost curves for energy and ancillary services is proposed, taking into consideration price uncertainty and opportunity cost of water, which can later be used to determine hourly bid curves. The proposed approach combines an hourly conditional value-at-risk, probability of occurrence of automatic generation control states and an opportunity cost of water to determine energy and ancillary services marginal cost curves. The proposed approach is in a linear constraint form and is easy to implement in optimization problems. A stochastic model of the hydro-economic river basin is presented, based on the actual Vinodol hydropower system in Croatia, with a complex three-dimensional relationship between the power produced, the discharged water, and the head of associated reservoir.

[1]  S.J. Kazempour,et al.  Self-scheduling of a joint hydro and pumped-storage plants in energy, spinning reserve and regulation markets , 2009, 2009 IEEE Power & Energy Society General Meeting.

[2]  O. Nilsson,et al.  Variable splitting applied to modelling of start-up costs in short term hydro generation scheduling , 1997 .

[3]  Yu Li,et al.  Joint Operation of the Multi-Reservoir System of the Three Gorges and the Qingjiang Cascade Reservoirs , 2011 .

[4]  Slavko Krajcar,et al.  Dispatch Method for Independently Owned Hydropower Plants in the Same River Flow , 2012 .

[5]  H. Y. Yamin,et al.  Review on methods of generation scheduling in electric power systems , 2004 .

[6]  Feng Gao,et al.  Optimal Bidding Strategies for Wind Power Producers in the Day-ahead Electricity Market , 2012 .

[7]  M. Munasinghe Electricity Pricing: Theory and Case Studies , 1982 .

[8]  Javier García-González,et al.  Risk-averse profit-based optimal scheduling of a hydro-chain in the day-ahead electricity market , 2007, Eur. J. Oper. Res..

[9]  Ying Zheng,et al.  Evaluation of Power Generation Efficiency of Cascade Hydropower Plants: A Case Study , 2013 .

[10]  Strategic bidding under uncertainty in a competitive electricity market , 2000 .

[11]  Antonio J. Conejo,et al.  Self-Scheduling of a Hydro Producer in a Pool-Based Electricity Market , 2002, IEEE Power Engineering Review.

[12]  I. Kuzle,et al.  An overview of ancillary services in an open market environment , 2007, 2007 Mediterranean Conference on Control & Automation.

[13]  A. Horsley,et al.  Efficiency Rents of Storage Plants in Peak-Load Pricing, I: Pumped Storage , 1996 .

[14]  K. Shadan,et al.  Available online: , 2012 .

[15]  Bin Xu,et al.  Dynamic Feasible Region Genetic Algorithm for Optimal Operation of a Multi-Reservoir System , 2012 .

[16]  Anthony Horsley,et al.  Profit-maximizing operation and valuation of hydroelectric plant: A new solution to the Koopmans problem , 2007 .

[17]  Antonio J. Conejo,et al.  An EPEC approach to the yearly maintenance scheduling of generating units , 2013, IEEE Transactions on Power Systems.

[18]  Slavko Krajcar,et al.  Profit maximization of a hydro producer in a day-ahead energy market and ancillary service markets , 2013, Eurocon 2013.

[19]  Igor Kuzle,et al.  Određivanje rasporeda održavanja hidrogeneratora korištenjem Bendersove dekompozicije , 2010 .

[20]  R. Tyrrell Rockafellar,et al.  Coherent Approaches to Risk in Optimization Under Uncertainty , 2007 .

[21]  Panos M. Pardalos,et al.  Handbook of networks in power systems , 2012 .

[22]  F. Nogales,et al.  Price-Taker Bidding Strategy under Price Uncertainty , 2002, IEEE Power Engineering Review.

[23]  V.M.F. Mendes,et al.  Profit-Based Short-Term Hydro Scheduling considering Head-Dependent Power Generation , 2007, 2007 IEEE Lausanne Power Tech.

[24]  K. Ponnambalam,et al.  Hydro energy management optimization in a deregulated electricity market , 2006 .

[25]  Francisco D. Galiana,et al.  Systems to optimise conversion efficiencies at Ontario Hydro's hydroelectric plants , 1997 .

[26]  Igor Kuzle,et al.  HYDRO GENERATING UNITS MAINTENANCE SCHEDULING USING BENDERS DECOMPOSITION , 2010 .

[27]  Stanislav Uryasev,et al.  Conditional Value-at-Risk for General Loss Distributions , 2002 .

[28]  Felix Creutzig,et al.  Carbon Lock-Out: Advancing Renewable Energy Policy in Europe , 2012 .

[29]  R. Rockafellar,et al.  Conditional Value-at-Risk for General Loss Distributions , 2001 .

[30]  B. Kirby,et al.  Creating competitive markets for ancillary services , 1997 .

[31]  Peter B. Luh,et al.  A bundle method for hydrothermal scheduling , 1999 .

[32]  Fotis D. Kanellos,et al.  Impacts of Large Scale Wind Penetration on Energy Supply Industry , 2009 .

[33]  J. García-González,et al.  Building optimal generation bids of a hydro chain in the day-ahead electricity market under price uncertainty , 2006, 2006 International Conference on Probabilistic Methods Applied to Power Systems.

[34]  Lennart Söder,et al.  Integer modelling of spinning reserve requirements in short term scheduling of hydro systems , 1998 .

[35]  Xiaohong Guan,et al.  Scheduling hydro power systems with restricted operating zones and discharge ramping constraints , 1999 .

[36]  Abaxbank,et al.  Spectral Measures of Risk : a Coherent Representation of Subjective Risk Aversion , 2002 .

[37]  A. Horsley,et al.  Efficiency Rents of Storage Plants in Peak-Load Pricing, Ii: Hydroelectricity , 1999 .

[38]  L. Lave,et al.  Efficient bidding for hydro power plants in markets for energy and ancillary services , 2006 .

[39]  N. D. Hatziargyriou,et al.  Illustration of Modern Wind Turbine Ancillary Services , 2010 .

[40]  Tjalling C. Koopmans,et al.  Water Storage Policy in a Simplified Hydroelectric System , 1957 .

[41]  Richard E. Rosenthal,et al.  GAMS -- A User's Guide , 2004 .