A robust active and reactive power coordination optimization method for active distribution network based on time series scenario analysis

Abstract

The invention discloses an active distribution network robust active and reactive power coordination optimization method based on time series scene analysis, which comprises the following steps: establishing an active distribution network active and reactive power coordination optimization deterministic model; The uncertain factors are analyzed and the scene is generated, and then the clustering method is used to cluster the similar scenes. A two-stage robust optimization model is established, and the original problem is transformed into a single objective function model which only contains the main problem. A two-stage robust optimization model is used to control the active distribution network. The invention considers the uncertain factors caused by the output power of the distributed generation and the load fluctuation in the active distribution network, characterizes the system uncertainties through an uncertain set mode, and improves the stability and reliability of the system operation. Through ARMA model combined with K-Means clustering technology reduces the computational complexity of the problem by reducing the size of the scene.

Description

technical field [0001] The invention relates to research on voltage control and active and reactive power optimization of an active distribution network, in particular to a robust active and reactive power coordination optimization method for an active distribution network based on time series scene analysis. Background technique [0002] With the rapid development of renewable energy power generation technology, a large number of distributed power sources such as wind power and photovoltaics are connected to the grid, which has an increasing impact on the safe operation and scheduling of the grid. In order to solve the problem of uncertainty in distributed power output, some new methods and models have begun to be applied to system control, such as adding stochastic optimization models to system control; introducing a two-stage chance constraint model to realize the output of standby units and wind power. Cooperate with planning; combine pumped storage with thermal power un...

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Problems solved by technology

[0003] At present, scholars at home and abroad have done a lot of research in the field of power system planning, operation and control scheduling with large-scale distributed power grid-connected, but the research on basic scene analysis methods for power systems is not enough.

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