Multi-time-scale multi-target energy optimization scheduling method for power grid

Abstract

The invention discloses a multi-time-scale multi-target energy optimization scheduling method for a power grid. The method comprises the following steps: S1, collecting historical operation data of the power grid; S2, based on historical operation data, establishing an uncertainty description power grid weak robustness multi-objective optimization model, a day-ahead optimization scheduling objective function and day-ahead optimization scheduling constraint conditions, and constructing a day-ahead long-time weak robustness multi-objective optimization scheduling model; S3, solving the day-ahead long-time weak-robustness multi-objective optimization scheduling model, and obtaining a day-ahead scheduling plan; S4, based on the actual scheduling plan and the day-ahead scheduling plan of the power grid, establishing an intra-day control time domain and a performance index, and constructing an intra-day MPC rolling optimization scheduling model; and S5, carrying out real-time rolling correction on the day-ahead scheduling plan based on the intra-day MPC rolling optimization scheduling model. The method can be well applied to power grid optimization scheduling, and good economical efficiency and environmental protection performance are obtained on the basis of ensuring certain robustness.

Description

technical field [0001] The invention relates to the technical field of power grid operation control, in particular to a multi-time-scale and multi-objective energy optimal scheduling method for a power grid. Background technique [0002] With economic development, energy has become an indispensable and important resource. However, since the world has entered the era of industrialization, traditional energy sources such as coal mines and oil have been exploited in large quantities, which has exhausted global energy resources. At the same time, the burning of traditional fossil energy will emit a large amount of polluting gases, which will lead to the deterioration of the global environment. Therefore, renewable energy has become the focus of research to solve energy shortage and environmental protection, and at the same time, distributed power generation technology has been widely used. Under the ambitious goals of my country's carbon peak in 2030 and carbon neutrality in 2...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a power grid multi-time scale multi-objective energy optimization dispatching method to solve the problems existing in the above-mentioned prior art, and to solve the problem that the traditional dispatching method cannot achieve the expected operation of the power grid due to the influence of source load uncertainty and prediction error The problem of economy can be well applied to the optimal dispatching of the power grid, and on the basis of ensuring certain robustness, good economy and environmental protection can be obtained

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