Error Bound Restriction of Linear Power Flow Model

IEEE Transactions on Power Systems(2022)

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摘要
Linear power flow models are widely used in power system analysis. To control the maximum influence of linearization error on decision making, it is important to evaluate the worst-case linearization error (i.e., the error bound). This letter theoretically derives the error bound of linear power flow models based on the truncation error analysis of Taylor series expansion. A cold-start approach is...
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关键词
Power measurement,Taylor series,Power systems,Measurement uncertainty,Finite wordlength effects,Analytical models,Upper bound
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