Power system multi-stage robust unit commitment decision-making method considering source-load dual uncertainty

Abstract

The invention provides a power system multi-stage robust unit commitment decision-making method considering the source-load dual uncertainty, wherein a power system multi-stage robust unit commitment model considering wind power and load uncertainty is established. The method comprises the following steps: firstly, aiming at uncertainty of wind power output and power load, constructing a high-dimensional uncertainty set based on upper and lower boundaries of the wind power output and the power load; then, a multi-stage robust unit combination model based on the high-dimensional uncertainty set is established in combination with sequential decision characteristics of power system dispatching; and finally, in combination with a linear affine rule and robust peer-to-peer transformation, converting the robust optimization problem in the min-max form into a mixed integer linear programming problem for solving. The method can be applied to unit combination decision making of a wind power-containing electric power system, and is beneficial to improving the reliability and the effectiveness of an electric power system scheduling decision under an uncertain operation condition.

Description

technical field [0001] The invention belongs to the technical field of power system scheduling automation (including renewable energy), and relates to a multi-stage robust optimal scheduling method for power systems considering dual uncertainties of source and load. Background technique [0002] At present, for the theoretical research of power system dispatching methods under uncertain operating conditions, the robust optimization method only needs to construct uncertain sets according to the upper and lower boundaries of uncertain quantities, and does not need to model the probability distribution characteristics of uncertain quantities, so Its modeling solution is simple and thus widely used. The two-stage robust unit combination model established according to the traditional robust optimization method is divided into two stages: pre-scheduling stage and re-scheduling stage. For a certain scheduling period in the rescheduling stage, the uncertain realization of the uncer...

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Problems solved by technology

To make up for the shortcomings of the existing two-stage robust unit combination decision-making method, and obtain effective dispatching decisions for power systems under uncertain operating conditions

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