Title :
Capacity Credit of Wind Generation Based on Minimum Resource Adequacy Procurement
Author :
Zhu, Songzhe ; Zhang, Yi ; Chowdhury, Ali A.
Author_Institution :
California Indep. Syst. Operator, Folsom, CA, USA
Abstract :
Different from conventional generation, the renewable resource, such as wind or solar generation, is energy limited and intermittent. It is challenging to identify the capacity credit of renewable generation. A new method has been proposed in this paper to determine the capacity credit for renewable resource in the framework of resource adequacy. An optimization model is developed first to calculate the minimum resource procurement based on the system loss of load expectation criterion. Then, renewable generation is added into the generation portfolio to identify the new resource procurement. The capacity credit of the renewable generation is the reduction in the procurement requirement for the conventional resource. The proposed model and method are demonstrated on the IEEE Reliability Test System system.
Keywords :
IEEE standards; distributed power generation; optimisation; power generation reliability; renewable energy sources; wind power plants; IEEE reliability test system system; load expectation criterion; minimum resource adequacy procurement; optimization model; renewable generation; renewable resource; solar generation; wind generation; Load modeling; Optimization; Probabilistic logic; Procurement; Production; Reliability; Wind; Capacity credit; load carrying; optimization; planning; reliability; renewable integration; resource adequacy (RA); wind generation;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2011.2180287