Wind power penetration limit determination method based on peak-regulating balance constraint

Abstract

The invention discloses a wind power penetration limit determination method based on peak-regulating balance constraint. The method comprises: firstly, solving wind power penetration limit of each selected time-in-point in a time interval [ton, toff], on each time-in-point, using a discrete variable search algorithm to perform maximum search on UGt, searching a generator set state vector UGt in a generator set state space [omega], the generator set state vector UGt making wind power capacity an electric system can accept reach the maximum in the time-in-point, and through a wind power penetration limit model to calculate the wind power penetration limit value at the moment; and performing minimum search on the wind power penetration limit values obtained in all time-in-points, to obtain the minimum value of wind power penetration limit in the interval of [ton, toff]. The method uses time combining with the generator set as decision variables, and an improved bender's decoupling algorithm is used for solution and optimization, preventing influence on calculation precision by selection of operating methods of an electric system and setting of original values. The method can improve precision and efficiency of wind power penetration limit calculation.

Description

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AI Technical Summary

Benefits of technology

This technology helps determine how well it can handle high levels of weather that affecting the performance or reliability of wind turbines used at different locations during their lifespan. It also predicts when there may be problems with the electrical connections between components within the machine due to factors like snow accumulations or other environmental conditions such as rain water. By calculating this limitation, advanced control systems can adjust operating modes accordingly without interferring too much from normal operations. Overall, these technical benefits help improve the overall effectiveness and safety of wind energy production by providing more accurate data about the ability to safely connect and use them over longer periods of time.

Problems solved by technology

Technological Problem: Current researchers studying how wind turbines work well but their ability to deliver more electricity than they produce does not always match up when connected at different times (interruptions). To address this issue, there needs better understanding about what causes them to lose electrical charge faster during periods where high demand occurs compared to other areas that require less generation.

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