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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 |
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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.
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Received: 11 October 2013
Published: 22 May 2014
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