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Composite Power System Risk Evaluation Considering the Accurate Model of Renewable Power Output by Kanjun Zhang; Hubing Zhou; Hengxuan Li; Aihong Tang; Chen Li is a Engineering article available to read on EtoBox.

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The fluctuation of renewable energy will threaten the reliable operation of the composite transmission and generation power system, so the risk level of the composite system with renewable energy attached must be studied. However, the accuracy of the renewable energy model has typically been overlooked in current risk assessment approaches. Therefore, this study provides an accurate hybrid wind/solar power output model that takes the wind farm’s seasonal and spatial characteristics, as well as the correlation between wind and solar PV power into account. For the first, build the seasonal Weibull model of the wind speed and correct the speed captured by each wind turbine considering different spatial characteristics of the wind farm. Secondly, build the probability distribution function of the solar power based on the kernel density estimation method. In the next, construct the joint probability distribution function considering the correlation between wind and solar PV power based on copula theory. Then, using the suggested accurate renewable energy model, the sequential Cross-entropy (SCE) technique is utilized to evaluate the risk indices of the composite system with renewable en

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Author

Kanjun Zhang; Hubing Zhou; Hengxuan Li; Aihong Tang; Chen Li

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Engineering (Physical Sciences)