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序列运算理论在解决复杂不确定性问题方面已获得了大量的应用。序列运算的算法复杂性及其与其他不确定性分析方法相比较的结果,都为序列运算理论提出了值得深入研究的问题。以电力市场风险评估为例,根据序列运算与蒙特卡罗法的基本原理,分析了两者的算法复杂性,并以算例准确地比较了相同精度下2种算法的实际计算量。研究结果表明,在电力市场风险评估方面,基于序列运算理论的评估方法不仅计算量较小,并且存在相当的计算优化空间,验证了序列运算的优越性。
The theory of sequence operation has obtained a great deal of applications in solving the problem of complex uncertainties. The algorithmic complexity of sequence operations and their comparisons with other methods of uncertainty analysis all raise questions worthy of further study for sequence operation theory. Taking power market risk assessment as an example, according to the basic principles of sequence operation and Monte Carlo method, the complexity of the two algorithms is analyzed. The exact calculation of the two algorithms with the same accuracy is compared with the example. The results show that, in the power market risk assessment, the evaluation method based on sequential operation theory not only has less computational complexity, but also has considerable computational optimization space, which verifies the superiority of sequence operation.