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Multi-objective optimization scheduling method for improving elasticity of power system

A multi-objective optimization, power system technology, applied in the field of multi-objective optimization and dispatching including wind power grid connection, can solve the problem of not considering multi-objective optimal dispatching, not fully considering the elastic characteristics of the power system, etc.

Pending Publication Date: 2021-01-05
GUANGDONG UNIV OF TECH
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Problems solved by technology

However, these models do not fully consider the elastic characteristics of the power system, and do not consider the multi-objective optimal dispatching problem that is more suitable for the actual grid-connected wind power

Method used

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  • Multi-objective optimization scheduling method for improving elasticity of power system
  • Multi-objective optimization scheduling method for improving elasticity of power system
  • Multi-objective optimization scheduling method for improving elasticity of power system

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Embodiment Construction

[0074] Aiming at the deficiencies in the prior art in power system optimal dispatching, the present invention proposes a multi-objective optimal dispatching method to improve power system flexibility. First, the autoregressive moving average model (auto regressive moving average model, ARMA) is coupled with gray The prediction model GM(1,1) is used to reasonably predict the sequential wind speed and the output of wind farms under the future climate change scenarios in the region; then establish a quantitative evaluation method system for power system elasticity including wind power grid connection; and then target the elasticity of the power grid , establish a multi-objective optimization model including wind power and network topology entropy and power flow entropy objectives, chance constraints and transmission line opening and closing constraints; finally, the improved backbone particle swarm optimization (I-BBPSO) algorithm is used to solve the optimization model.

[0075] ...

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Abstract

The invention provides a multi-objective optimization scheduling method for improving the elasticity of a power system, which aims at overcoming the defects of the prior art in power system optimization scheduling, and comprises the following steps of: predicting sequence wind speed in a region and output of a wind power plant in combination with a future climate change scene; establishing a powersystem elasticity quantitative evaluation method containing wind power integration; establishing an opportunity constraint-based multi-objective optimization model for improving the elasticity of thepower system under extreme-period climate conditions; and solving the multi-objective optimization model, and actively carrying out power grid topology transformation. According to the invention, firstly, the elasticity of the power system containing wind power integration is evaluated, then opportunity constraint and power transmission line opening and closing constraint-based multi-objective optimization scheduling for improving the elasticity of the power system is carried out, and power grid topology transformation of power transmission line opening and closing operation is actively combined; and theoretical suggestions and guidance can be provided for an electric power operator to make an operation scheme in extreme weather.

Description

technical field [0001] The invention relates to the technical field of power system optimization scheduling, in particular to a multi-objective optimal scheduling method including wind power grid connection based on opportunity constraints and transmission line opening and closing constraints. Background technique [0002] In recent years, more and more wind farms have been integrated into the power system in a large-scale and centralized manner. The installed capacity of wind power in China has increased substantially, leading to an increase in the proportion of wind power penetration year by year. However, as global climate changes become more frequent, extreme events occur more frequently. There is an increased risk of infrastructure failures such as wind turbines, substations, transmission lines, and distribution lines, which could lead to larger blackouts. In terms of power system performance evaluation, traditional power system reliability evaluation only considers t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06F111/06G06F111/08G06F113/04
CPCG06F30/27G06F2111/06G06F2111/08G06F2113/04
Inventor 周子旋谭倩周雅蔡宴朋赵敏怡肖俊郭红江
Owner GUANGDONG UNIV OF TECH
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