A contract power decomposition method based on distributed robust optimization

Abstract

The invention discloses a contract electric quantity decomposition method based on distribution robust optimization, which comprises the following steps: S1, collecting cost information, difference information between monthly power generation quantity and contract electric quantity, unit parameter and power data, and establishing a contract electric quantity decomposition model according to the difference information; S2, a distributed robust optimization model considering wind power uncertainty is established according to the contract power decomposition model; S3, according to the distributed robust optimization model, adopting the column and constraint generation algorithm to obtain the probability value result of the wind power uncertain scene; 4, accord to that probability value result, adopting the distribute robust optimization model to obtain the decomposition result of the contract electric quantity. The invention solves the problem of wind power and the uncertainty of load inthe decomposition of contract power quantity, and reduces the fluctuation caused by the uncertainty of wind power.

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...

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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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