Method for determining typical sunrise force curves of wind power station

Abstract

The invention discloses a method for determining typical sunrise force curves of a wind power station, and relates to electric power deployment and wind power planning. The method comprises the following steps of: firstly, respectively clustering wind power sunrise force curves according to system peak regulation requirements, counting the probability of different types of curves, and selecting representative curves; and then, placing each representative curve into a system to perform production run simulation, performing probability weighted sum on results to obtain expected values of each technical and economic index of the system, such as wind power generating capacity, thermal power generating capacity, thermal power peak regulation depth, abandoned wind power quantity, thermal power fuel consumption, expected values of pollutant discharge and the like, and then evaluating the peak regulation economical efficiency of a given wind power grid system. The method has the advantages that the randomness of wind power output is considered, and the method is adopted to the conventional electric power and electric quantity balance computation; the conventional electric power system planning research method is enriched, and the depth of wind power system planning researches is improved; and power enterprises can develop electric power system operation simulation software products comprising wind power systems according to the method.

Description

technical field [0001] The invention relates to power distribution and wind power planning. Background technique [0002] Uncertainty in demand for peak-shaving capacity of wind power output and anti-peak-shaving characteristics are the keys to the difficulty of peak-shaving in wind power grid-connected systems. On the one hand, the demand for new peak-shaving capacity of wind power output has great uncertainty, making it impossible to accurately configure a specific peak-shaving capacity when dealing with the peak-shaving problem brought about by wind power grid-connected; on the other hand, wind power The anti-peak-shaving characteristics of the output will increase the peak-valley difference of the system after the wind power is connected to the grid, further aggravating the peak-shaving pressure on the power grid. [0003] At present, the main ideas for dealing with wind power grid-connected peak-shaving problems in the grid planning stage are as follows: the wind power...

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Problems solved by technology

[0010] First, only the processing results of the peak and trough points are given, and the whole process analysis of the daily cycle including the wind power system has not been realized, and it has not been incorporated into the conventional daily production and operation simulation system, so various detailed The operating indicators of the operating indicators, the analysis results are relatively rough;

[0011] The second is that the obtained system peak regulation capacity may be conservative. Although the concept of effective capacity coefficient has reflected the probability distribution characteristics of wind power output in the whole period to a certain extent, it cannot fully represent the probability of wind power output in low-peak periods. Distribution characteristics, at this time, the probability of wind power output reaching the value corresponding to the effective capacity coefficient is likely to be less than 1, so the system peak regulation capacity has the potential to be further improved

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