Multi-renewable energy power station power scene generation method considering space-time correlation

Abstract

The invention relates to a renewable energy technology, in particular to a multi-renewable energy power station power scene generation method considering space-time correlation. The method comprises the following steps of 1, determining assumed conditions and an approximate probability distribution function; step 2, establishing a joint distribution Copula model; 3, generating a scene based on thespatial-temporal correlation of Gibbs sampling; and step 4, removing scenes which are not converged in the burn-in process before sampling points do not completely enter the convergence domain, and leaving renewable energy power station power scenes in the convergence domain. The method is advantaged in that condition distribution of the actual power of the renewable energy power station is represented by truncation general distribution, the most similar approximate probability distribution model can be obtained, and the probability distribution characteristic of the power can be better represented; a Gibbs sampling technology is adopted, so the storage space and the sampling time required by sampling are greatly reduced, and meanwhile, the correlation between wind power and photovoltaicpower is considered, so the method is more comprehensive than a sampling method only considering a single type of renewable energy power station.

Description

technical field [0001] The invention belongs to the technical field of renewable energy, and in particular relates to a method for generating power scenarios of multi-renewable energy power station considering time-space correlation. Background technique [0002] With the depletion of global fossil fuels and the intensification of the greenhouse effect, countries around the world have to consider the transformation from traditional thermal power generation to renewable energy power generation, and promote the green and low-carbon transformation of the national economy. Therefore, countries all over the world are paying close attention to the large-scale connection of multi-renewable energy power stations to the power grid, and it is imperative to develop power system forms that include multi-renewable energy power stations. Renewable energy mainly includes wind power generation (hereinafter referred to as wind power) and photovoltaic power generation (hereinafter referred to...

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Problems solved by technology

There is also a method to consider the spatio-temporal correlation between wind farms by directly modeling a joint distribution model that includes the dimension of the number of wind farms multiplied by the number of dispatch cycles (ie J*T), but this method requires a large amount of data storage space and sampling time

At the same time, the above methods only consider a single type of renewable energy power station, and do not consider the power correlation between different renewable energy power stations at the same time.

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