Interval optimization-based day-ahead market power purchase optimization method for power system with wind power

Abstract

The invention relates to an interval optimization-based day-ahead market power purchase optimization method for a power system with wind power. The situation of combined clearing of a day-ahead energymarket and a standby capacity market is comprehensively considered; a multi-objective nonlinear interval optimization model with the wind power is built by taking a minimum total expense and a minimum real-time market power deviation interval as goals in combination with real-time market power deviation intervals; and the multi-objective nonlinear interval optimization model is converted into anoptimistic and pessimistic solution optimization model. An optimal power purchase interval and a standby capacity interval of a thermal power unit in the day-ahead market can be obtained; a referencecan be provided for a power purchase decision; the power purchase cost can be reduced; and wind resources can be reasonably utilized.

Description

technical field [0001] The invention relates to the field of electric power market, in particular to a method for optimizing power purchase in the day-ahead market of an electric power system including wind power based on interval optimization. Background technique [0002] In order to reduce the use of fossil fuels, my country has vigorously developed wind power. With the increase of wind power grid-connected scale, the impact of wind power uncertainty on power trading and dispatch is increasing. It is necessary to consider the impact of wind power uncertainty in the day-ahead market . At present, in the study of day-ahead market transactions, the probability model is mainly used to represent the uncertainty of wind power. However, the probability model requires a large amount of historical data to be obtained. If the amount of data is small, the obtained probability distribution may be inaccurate, which will affect the power purchase. result. [0003] In the day-ahead mar...

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Problems solved by technology

However, the output of wind power is highly random. When the actual output of wind power is different from the power purchased in the day-ahead market, the real-time market will generate a large unbalanced power, which needs to call for reserve capacity and balance it through real-time market transactions. The real-time market The greater the power deviation, the greater the reserve capacity that needs to be called

[0004] At present, the day-ahead market power purchase optimization considering the day-ahead energy market, reserve capacity market, and real-time market power deviation combined with the variation range of wind power output has not been reported yet.

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