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Discrete/continuous-time Online Algorithm Application for Time-varying Optimal Power Flow in Active Distribution Networks by Kaijun Xie; Mingbo Liu; Wentian Lu; Jiexuan Wu is a Engineering article available to read on EtoBox.

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This paper discusses and analyzes the latest online algorithm applications for time-varying optimal power flow problems in active distribution networks with numerous power-electronics-interfaced distributed energy resources, which bring significant time-varying characteristics to the optimal operation of active distribution networks. Conventional offline optimization algorithms are time-consuming and unable to track time-varying optimal solutions in highly variable environments. In contrast, online algorithms are characterized by fast calculation speeds and the ability to continuously track optimal solutions, thus having great potential in solving optimization problems that vary rapidly over time. In this paper, we design online time-varying optimal power flow algorithms based on the latest online algorithms, including three discrete-time algorithms (i.e., correctiononly, prediction-correction, and correction-extra correction algorithms) and one continuous-time algorithm (i.e., prediction-correction interior-point method). According to our survey of the current applications of online algorithms, this study represents the first time that discrete-time prediction-correction and corre

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Author

Kaijun Xie; Mingbo Liu; Wentian Lu; Jiexuan Wu

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Engineering (Physical Sciences)