A Multi-Stage Robust Unit Combination Decision-Making Method for Power Systems Considering Double Uncertainties of Source and Load

Abstract

The invention proposes a power system multi-stage robust unit combination decision-making method considering the double uncertainty of source and load, which establishes a power system multi-stage robust unit combination model considering wind power and load uncertainty. Firstly, aiming at the uncertainty of wind power output and electric load, construct a high-dimensional uncertainty set based on its upper and lower boundaries; then, combined with the sequential decision-making characteristics of power system dispatching, establish a multi-stage Robust unit combination model; finally, combined with linear affine rules and robust equivalent transformation, the above-mentioned robust optimization problem of min-max form is transformed into a mixed integer linear programming problem for solution. This method can be applied to the decision-making of unit combination in power systems including wind power, which is conducive to improving the reliability and effectiveness of power system scheduling decisions under uncertain operating conditions.

Description

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

AI Technical Summary

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

Images