A method for improving the wind power consumption level of the power system

Abstract

The invention discloses a method for improving the level of wind power consumption in a power system. Firstly, according to the hyperplane-based uncertain set HPUS, wind power uncertainty modeling is realized, and invalid wind power scene areas are excluded; then, economic dispatch and wind power consumption are established. The HPUS-based two-stage robust wind power consumption model; based on the C&CG algorithm framework, the two-stage robust wind power consumption model is solved to improve the wind power consumption level of the power system. The above method can effectively improve the conservatism of the traditional robust optimization model, improve the efficiency of wind power consumption, and save more generator adjustment space to cope with wind power uncertainty fluctuations and meet load fluctuation requirements, thereby improving the operational flexibility of the power system .

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a method for improving the wind power accommodation level of a power system. Background technique [0002] In recent years, new energy power generation has developed rapidly due to its clean and renewable characteristics, and has gradually occupied the power generation market of traditional fossil energy sources. Cause power balance fluctuations in the power system. In order to solve the problem of wind power accommodation in the current electricity market and promote the reform and transformation of the energy market, the decision-making system and advanced flexible equipment configuration for wind power accommodation have become the key means to discuss and solve the uncertainty and fluctuation of wind power. [0003] The capacity of wind power accommodation is closely related to the operational flexibility of the power system. The consideration of wind power accommodati...

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Problems solved by technology

Based on the reliability operation requirements of the power system, the robust optimal scheduling can better meet the robust scheduling of the power system, and then meet this requirement, but the results of the robust optimal scheduling depend on the accuracy of the modeling of the uncertain set. Extensive uncertain sets are in the form of interval calculations. Although they can ensure that the final strategy is stable and reliable, they are too conservative. Therefore, it is necessary to develop a scheme that can improve the conservatism of traditional robust optimization models on the basis of ensuring the stable operation of the power system, so as to improve wind power. Consumption efficiency

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