A Hybrid Optimization Algorithm to Evaluate the CCWPE Based on DEA Sampled by FCE

Along with the reform in electric power market and the establishment of bidding for access mechanism, the competition among the power generation enterprises is more intense. As a kind of renewable clean energy, wind power has the disadvantages of no pollution, low cost, but the wind power also has the inherent shortcoming of intermittence, random and instability. To evaluate the core competitiveness of wind power enterprises (CCWPE), the authors overcame the shortcoming of the traditional methods, and proposed a hybrid optimization method which unified the fuzzy comprehensive evaluation (FCE) and data envelopment analysis (DEA) model, which took FCE as the foundation to sample, and used DEA theory to establish the CCWPE evaluating model. The model could not only play the advantages of DEA, but overcome the problem of seeking training sample with high quality. The CCWPE evaluation of 4 wind power generation enterprises indicated that the method was efficient and reliable.