Multi-time-scale scheduling method for new energy grid-connected power system based on robust optimization

Abstract

The invention discloses a new energy grid-connected power system multi-time scale scheduling method based on robust optimization. A new energy grid-connected power system includes new energy and schedulable energy, and target functions of time scale scheduling plans are built respectively by using schedulable energy output as decision variables; the constraint condition, including robust constraints and traditional physical constraints, of each target function are formed respectively; according to each target function and the corresponding constraint condition, a robust optimization scheduling model of each time scale is established; according to a robust level adjustment rule, the robust level value of each time scale is selected and input in the robust optimization scheduling model of each time scale, so that the decision variables meeting the requirements of the target functions under the constraint conditions are obtained; according to the decision variables, a scheduling plan isadjusted, and thus scheduling of schedulable energy is conducted. The method can effectively reduce the influence of uncertain factors on the scheduling plan, has good robustness, and is both safe andeconomical.

Description

Technical field [0001] The invention relates to the technical field of dispatching of a new energy grid-connected power system, in particular to a multi-time scale dispatching method based on robust optimization. Background technique [0002] With the ever-increasing environmental problems and energy depletion problems, renewable energy sources such as wind and solar energy have been greatly developed, and their share of energy has risen sharply. However, due to the uncertainties of wind power and photovoltaics, large-scale grid integration of new energy has brought huge challenges to the economic dispatch of the power system. [0003] Some existing studies improve the power grid's ability to cope with uncertainties through the coordination of multi-time scale dispatching plans. However, the current method directly uses the predicted value of new energy and load when formulating the multi-time scale scheduling plan, and does not thoroughly consider the uncertainty of their predict...

AI Technical Summary

Problems solved by technology

[0007] In view of the deficiencies of the above-mentioned prior art, the present invention provides a multi-time-scale scheduling method for new energy grid-connected power systems based on robust optimization, which solves the problem that the multi-time-scale scheduling in the prior art does not consider the uncertainty of new energy forecast values It can effectively reduce the impact of uncertain factors on the scheduling plan of the new energy grid-connected power system, which has good robustness and achieves a balance between safety and economy.

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