Source-load joint time sequence scene generation method and system for active power distribution network

Abstract

The embodiment of the invention provides a source-load joint time sequence scene generation method and system for an active power distribution network, and the method comprises the steps: constructing an initial source-load joint time sequence scene through original data, calculating a DTW distance, an Euclidean distance and a source-load correlation distance between all scenes, generating a weight coefficient of each index through a principal component method, calculating a similarity measurement index between the scenes, selecting the number of typical scenes by using an elbow method and a contour coefficient, and randomly selecting a clustering center; and discriminating the reasonability of typical scene selection by using the clustering divergence. According to the embodiment of the invention, the time shifting characteristic of the time sequence is fully considered, the correlation between the load and the distributed power supply can be described more accurately, and the problem of poor clustering effect of the continuous time curve under the multi-dimensional array can be solved; and, in addition, the method can describe the randomness and intermittency of load and distributed power supply output more accurately by using fewer typical scenes, and the planning efficiency of the active power distribution network is improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of electric power technology, and in particular, to a method and system for generating a source-load joint time sequence scenario for an active distribution network. Background technique [0002] In order to get rid of the excessive dependence on fossil energy and speed up the energy transformation, my country has proposed the goal of "carbon peaking and carbon neutrality". Increasing the proportion of renewable energy generation (such as wind power and photovoltaics) in the grid is an important means to achieve this goal. The staggered output of wind power, photovoltaics and loads and the intermittent output directly affect the consumption of distributed power by the distribution network. Therefore, in the planning or operation optimization of active distribution network, the uncertainty and correlation between distributed power and load should be fully considered. [0003] Existing studies ha...

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Problems solved by technology

[0004] Embodiments of the present invention provide a source-load combined time series scenario generation method and system for active distribution networks to solve the problem of low clustering quality of power supply and load data and unsuitability for continuous time curves in typical scenario analysis methods in the prior art clustering problem

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