Power system day-ahead robust scheduling method which takes multi-uncertainty and correlation into consideration

Abstract

The invention belongs to the field of power grid scheduling, specifically a power system day-ahead robust scheduling method which takes multi-uncertainty and correlation into consideration. The methodis used for solving the dynamic economic scheduling problem of a power system comprising new energy. The day-ahead robust scheduling method which takes loads, wind power and photovoltaic contributionuncertainty and probability correlation into comprehensive consideration is provided. The method comprises the steps of establishing an improved robust optimization scheduling model which takes the multi-uncertainty and probability correlation into consideration; converting random samples with correlation into mutually independent random samples through utilization of a Cholesky decomposition method, thereby directly determining the worst scene based on sample features; and solving the model through utilization of a Benders decomposition method. According to the method provided by the invention, under multi-uncertainty factors, the day-ahead scheduling plane robustness is ensured; moreover, the economy is effectively improved; and according to a worst scene determination method based on Cholesky decomposition, the compactness of a robust scheduling model is effectively improved and the calculation efficiency is clearly improved.

Description

technical field [0001] The invention relates to a day-ahead robust scheduling method of a power system considering multiple uncertainties and correlations, and relates to the field of power system scheduling. Background technique [0002] Wind power and photovoltaics are non-polluting, green renewable energy sources that are widely distributed and have high energy density, making them suitable for large-scale development. Therefore, wind power and photovoltaic power generation technologies have received great attention from all over the world. However, due to the randomness and volatility of its output, large-scale access to the power grid will bring great challenges to traditional dispatching methods. The method has important theoretical value and practical significance. [0003] At present, many experts and scholars have studied the day-ahead scheduling problem of power system under the access of new energy from different angles, but generally only a single uncertainty va...

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Problems solved by technology

However, due to the randomness and volatility of its output, large-scale access to the power grid will bring great challenges to traditional dispatching methods. The method has important theoretical value and practical significance

[0003] At present, many experts and scholars have studied the day-ahead scheduling problem of power system under the access of new energy from different angles, but generally only a single uncertainty variable is considered. Uncertainty factors, the existing day-ahead scheduling that only considers a single uncertainty is obviously difficult to guarantee the effectiveness of its decision-making and affects the economics of system operation

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