Importance sampling Monte Carlo power system reliability evaluation method based on geometric optimization-minimum variance method
A technology of geometric optimization and power system, applied in the direction of instruments, data processing applications, resources, etc., can solve problems such as the difficulty of solving the variance minimization model
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[0040] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0041] The present invention is an important sampling reliability evaluation method based on geometric optimization to solve the variance minimum model, the method uses geometric optimization (GP) to efficiently solve the variance minimization (VM) model in the reliability evaluation, and obtains the required important sampling parameters, These parameters are then used for associated reliability assessments. Especially for those highly reliable systems to carry out reliability assessment. It is specifically divided into two stages: using geometric optimization to solve the variance minimum model in the pre-sampling, so as to solve the reliability evaluation parameters, and performing reliability evaluation in the main sampling:
[0042] Level 1 pre-sampling (solution parameters): first pre-sampling generates initial samples, and then based on these ...
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