Power distribution network and multi-microgrid robust scheduling method, electronic equipment and storage medium

Abstract

The invention discloses a power distribution network and multi-microgrid robust scheduling method, electronic equipment and a storage medium. The method comprises the following steps: establishing a renewable energy output ellipsoid uncertainty set by adopting a data driving method based on a minimum volume closed ellipsoid; establishing a day-ahead-real-time two-stage economic scheduling model considering the overall operation cost of a power distribution network and multiple microgrids; obtaining a renewable energy output limit scene by solving the ellipsoid uncertainty set, processing the uncertainty factors of the scheduling model by adopting a limit scene method, and providing a power distribution network and multi-microgrid two-stage robust scheduling method based on the limit scene method; and splitting a two-stage robust optimization problem into a main problem and a sub-problem for iterative solution through an improved column constraint generation algorithm based on a limit scene method. According to the invention, the scheduling robustness of the power distribution network and the multi-microgrid system can be ensured, the scheduling conservative property of the power distribution network and the multi-microgrid system is reduced, the scheduling economy is improved, and meanwhile model solving is relatively simple and relatively high in efficiency.

Description

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AI Technical Summary

Benefits of technology

This patented technology improves how distributed networks handle varying amounts of power from different sources without losing their effectiveness or being affected negatively during peak hours when there are no longer enough generation available. It also takes advantage of correlations between solar radiation (the sun's ray) and wind speed to create an optimal schedule based on these factors overall reducing costs associated with both systems. Additionally, this approach allows for efficient allocation of resources across multiple grids simultaneously optimizing resource utilization within each grid.

Problems solved by technology

This patents discuss how current techniques used for managing and optimizing distributed generations (distributed sources) may be prone to errors due to fluctuating solar production levels caused by factors like weather conditions or other natural phenomena such as rainwater falling onto ground). These technical problem addressed through this patented method involves developing better ways to manage and optimize multiple small grids connected together without introducing excessive complexity during their operations.

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