Random optimization scheduling method considering flexibility for wind power-containing electric power system

Abstract

The invention discloses a random optimization scheduling method considering flexibility for a wind power-containing electric power system. According to the method, the random fluctuation of the net load and the operation characteristics of the source load storage are comprehensively considered, a power system flexibility requirement model is established by utilizing Gaussian mixture distribution,a multi-type flexibility resource supply model is constructed, and then a power system operation flexibility probability balance model is constructed. Risk loss brought to the power system due to insufficient flexibility is measured by utilizing conditional risk values, then system power balance constraints, operation flexibility constraints and equipment operation constraints are considered, a wind power-containing power system random optimization scheduling model considering flexibility is constructed, and system operation economy and flexibility are considered at the same time.

Description

technical field [0001] The invention relates to a random optimal scheduling method for a power system including wind power, in particular to a random optimal scheduling method for a power system including wind power considering flexibility, and belongs to the technical field of power system scheduling automation. Background technique [0002] A clean power system with a high proportion of renewable energy has become a common vision of the industry. However, the random fluctuation and unpredictability of wind power and photovoltaic power generation lead to a sharp increase in the demand for flexibility, which increases the difficulty of system consumption. [0003] On the one hand, a reasonable flexibility evaluation method is the basis for flexible optimal scheduling of the system. Although the existing flexibility evaluation methods can reflect the flexibility of the power system to a certain extent, they are mostly based on principle analysis and qualitative evaluation, a...

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Problems solved by technology

Although the existing flexibility evaluation methods can reflect the flexibility of the power system to a certain extent, they are mostly based on principle analysis and qualitative evaluation, and have poor applicability to system optimal dispatching.

[0004] On the other hand, part of the conventional power supply is replaced by renewable energy, which further reduces the flexibility of power supply, resulting in the cost of traditional optimal dispatching methods that rely solely on backup power to ensure system security, and the ability to accommodate renewable energy is limited.

Moreover, most of the existing research is based on forecast information to formulate dispatch plans or use traditional qualitative models to deal with wind power uncertainties, lacking quantitative representation of flexible demand and supply, and it is difficult to achieve collaborative optimization of operational flexibility and economy in dispatch results

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