A Method of Contract Power Decomposition Based on Distribution Robust Optimization

Abstract

The invention discloses a method for decomposing contract electricity based on distribution robust optimization, including the following steps: S1, collecting cost information, information on the difference between monthly power generation and contract electricity, unit parameters and power data, and establishing contract electricity decomposition based on it Model; S2. According to the contract power decomposition model, establish a distribution robust optimization model considering wind power uncertainty; S3. According to the distribution robust optimization model, use the column and constraint generation algorithm to obtain the probability value results of wind power uncertain scenarios; S4. According to the probability value results, the distribution robust optimization model is used to obtain the contract power decomposition result; the present invention solves the problem of wind power and load uncertainty in the contract power decomposition, and reduces the fluctuation caused by wind power uncertainty .

Description

technical field [0001] The invention belongs to the field of electric power market, and in particular relates to a contract power decomposition method based on distribution robust optimization. Background technique [0002] The decomposition of contract power is one of the main tasks of the power trading center of the grid company. For example, when the provincial power grid formulates a power generation plan at the beginning of the year, it needs to divide the annual contracted electricity into months based on factors such as the monthly load forecast curve, unit maintenance plan, and combined heat and power generation. At the same time, the monthly power generation plan also needs to be broken down into one day or even a period of time. A high-quality contract power decomposition scheme can greatly reduce the difficulty of subsequent daily dispatch, and is the basis of grid economic dispatch and energy-saving generation dispatch, so it is of great significance. In additi...

AI Technical Summary

Problems solved by technology

However, the DRO method usually constructs the probability distribution set by utilizing the Wasserstein metric or uncertain first-order / second-order moment information, so by using duality and characterizing moment information, the solution process is quite complicated

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