Sensitivity Analysis of Power Cost Based on PSO-LSSVM
Peng Guangjin1, Wang Fuping1, Me Yuan1, Zhu Hui2, Liu Yu2, Xing Xiaorui2
1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing 400030 China 2.Chongqing Electric Power Company Chongqing 400016 China
Abstract：It is very difficult to control power cost, because there are too many impact factors, so it seems to be necessary to introduce artificial intelligent algorithms. The sensitivity analysis is an important method. PSO and SVM were introduced to set up sensitivity analysis model, which can find main impact factors for power cost. At last, these factors were used for power cost estimate model, simulation result showed that such model can improve efficiency of power cost evaluation.
彭光金, 王富平, 么远, 朱辉, 刘瑜, 邢晓蕊. 基于PSO-LSSVM的电力造价灵敏度分析[J]. 电工技术学报, 2013, 28(2增): 391-394.
Peng Guangjin, Wang Fuping, Me Yuan, Zhu Hui, Liu Yu, Xing Xiaorui. Sensitivity Analysis of Power Cost Based on PSO-LSSVM. Transactions of China Electrotechnical Society, 2013, 28(2增): 391-394.
2013, Vol. 28 
