Economic dispatching method and device of wind power electric system

Abstract

An embodiment of the invention provides an economic dispatching method and an economic dispatching device of a wind power electric system. The method includes steps of acquiring wind electricity powerforecast data, wind electricity power actual data, relative forecast bias between the wind electricity power forecast data and the wind electricity power actual data, and branch site of relative forecast bias; generating a box type uncertainty set of the wind electricity power according to the wind electricity power forecast data, wind electricity power actual data, relative forecast bias, and branch site; acquiring upper and lower limits of the wind electricity power in the box-type uncertainty set; calculating an extreme contributing scene and an extreme climbing scene according to the upper and lower limits of the wind electricity power; structuring a cost target function of an electric system by combining with the fuel cost of a thermal power generating unit according to the average wind curtailment cost and load shedding cost of the acquired extreme contributing scene, and the average wind curtailment cost and load shedding cost of the extreme climbing scene; under a preset restriction condition, solving the target function to obtain a contributing plan of the electrical system.

Description

technical field [0001] The invention relates to the technical field of power system operation and control, in particular to a method and device for economic dispatching of a wind power system. Background technique [0002] When large-scale wind power is connected to the power system, the uncertainty of wind power may cause the imbalance of active power of the system. Fully studying the uncertainty of wind power at different time scales, different time periods, and different prediction levels, and then accurately and reasonably describing the uncertainty of wind power is conducive to maintaining the active power balance of the system at different time scales. Under the existing wind power prediction accuracy, how to accurately describe the uncertainty of wind power, establish an effective economic dispatch model, realize the efficient solution of the corresponding dispatch model, and reduce the intermittency of wind power to the power system at the dispatch level. It is of g...

AI Technical Summary

Problems solved by technology

This model considers the fluctuation of wind power in a relatively extensive way, and the corresponding scheduling model is easy to solve, but it is difficult to accurately consider the uncertainty of wind power

In practical applications, if the reserve ratio of system reserve capacity is too large, the system will be able to better cope with the fluctuation of wind power, but this will make it difficult for the output of thermal power units to reach a more economical level, which will increase the total cost of the system ; If the reserve ratio of the system reserve capacity is too small, the system will be difficult to cope with the possible large fluctuations in the actual wind power, which may cause wind curtailment or load shedding, which will be detrimental to the economy and stability of the system

[0004] At present, there is no method that can completely describe the uncertainty of wind power and provide an effective reference for conservative dispatch decision makers

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