Rigorous model for evaluating wind power capacity credit

How much capacity credit should be given to wind power in generation system adequacy analysis is a question of great interest around the world. Both a theoretical analysis and an accurate evaluation on the wind power capacity credit are essential for understanding its contribution to power system reliability. Current evaluation techniques usually rely on numerical calculation procedures that do not provide an analytical analysis, or are based on assumptions that are valid only for small wind penetration. This study presents a rigorous model based on the definition of the reliability function. The derivation of the model is presented and a fast and accurate method for calculating the capacity credit is developed based on this model. The proposed method does not require strong hypotheses and is thus widely applicable, especially when current evaluation techniques might cause large errors, for example, when the wind power penetration is large and the wind power and load profile are not statistically independent. The model is used to explain how the statistical characteristics of the load and wind power affect the capacity credit, from both a statistical and chronological perspective. Numerical tests demonstrate the correctness of the proposed model and its potential applicability under different circumstances.

[1]  K. Dragoon,et al.  Z-method for power system resource adequacy applications , 2006, IEEE Transactions on Power Systems.

[2]  A Keane,et al.  Capacity Value of Wind Power , 2011, IEEE Transactions on Power Systems.

[3]  M. Fotuhi-Firuzabad,et al.  A Reliability Model of Large Wind Farms for Power System Adequacy Studies , 2009, IEEE Transactions on Energy Conversion.

[4]  M O'Malley,et al.  Capacity Value of Wind Power, Calculation, and Data Requirements: the Irish Power System Case , 2011, IEEE Transactions on Power Systems.

[5]  Probability Subcommittee,et al.  IEEE Reliability Test System , 1979, IEEE Transactions on Power Apparatus and Systems.

[6]  R. Billinton,et al.  Wind power planning and operating capacity credit assessment , 2010, 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems.

[7]  Hannele Holttinen,et al.  Current Methods to Calculate Capacity Credit of Wind Power, IEA Collaboration , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[8]  Mark Diesendorf,et al.  The Capacity Credit of Wind Power: A Theoretical Analysis , 2018, Renewable Energy.

[9]  Zhang Qian Wind Power Credible Capacity Evaluation Model Based on Sequence Operation , 2011 .

[10]  L. L. Garver,et al.  Effective Load Carrying Capability of Generating Units , 1966 .

[11]  Ning Zhang,et al.  SIMULATION METHODOLOGY OF MULTIPLE WIND FARMS OPERATION CONSIDERING WIND SPEED CORRELATION , 2010 .

[12]  Yi Zhang,et al.  Capacity Credit of Wind Generation Based on Minimum Resource Adequacy Procurement , 2012 .

[13]  Lennart Söder,et al.  Taking Credit : The Impact of Wind Power on Supply Adequacy-Experience from the Swedish Market , 2010 .

[14]  William D'haeseleer,et al.  An analytical formula for the capacity credit of wind power , 2006 .

[15]  William D'haeseleer,et al.  Critical evaluation of methods for wind-power appraisal , 2007 .

[16]  Sushil Patil,et al.  A study of the parameters influencing the Capacity Credit of WECS- a simplified approach , 2010, IEEE PES General Meeting.

[17]  A. Zervos,et al.  Value of wind energy on the reliability of autonomous power systems , 2010 .

[18]  Chongqing Kang,et al.  Thermal generation operating cost variations with wind power integration , 2011, 2011 IEEE Power and Energy Society General Meeting.

[19]  Michael Milligan,et al.  Determining the Capacity Value of Wind: A Survey of Methods and Implementation; Preprint , 2005 .

[20]  A. Keane,et al.  Simplified methods for renewable generation capacity credit calculation: A critical review , 2010, IEEE PES General Meeting.

[21]  Edward Kahn,et al.  The reliability of distributed wind generators , 1979 .

[22]  J. Lobry,et al.  System Reliability Assessment Method for Wind Power Integration , 2008, IEEE Transactions on Power Systems.