Day-ahead robust scheduling method of power system based on traditional Benders decomposition method

Abstract

The invention provides a day-ahead robust scheduling method of a power system based on a traditional Benders decomposition method, belongs to the field of power grid scheduling, and aims at solving the dynamic economical scheduling problem of the power system including new energy. According to the day-ahead robust scheduling method, the load, wind-power and photovoltaic output nondeterminacy and probability correlation are considered in an integrated way. An improved robustness optimized scheduling model considering multiple nondeterminacy factors and the probability correlation is constructed; a Cholesky decomposition method is used to convert a random sample with correlation into random samples independent from each other, and a worst scene is determined directly based on sample features; and the model is solved by utilizing the Benders decomposition method. A simulation result based on an IEEE-118 node example shows that under multiple nondeterminacy factors, robustness of a day-ahead scheduling plan is ensured, the economic performance is improved effectively, the worst scene determining method based on Cholesky decomposition can be used to improve the compactness of a robust scheduling model effectively, and the calculation efficiency is improved substantially.

Description

technical field [0001] The invention relates to a day-ahead robust scheduling method of a power system based on a traditional Benders decomposition method, 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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