Method for improving the utilization ratio of wind power under extreme weather environment by using risk constrained dispatching

Abstract

The invention discloses a method for improving the utilization ratio of wind power under an extreme weather environment by using risk constrained dispatching. A quick start and stop unit, a conventional wind turbine and a wind turbine are combined and modeled as a mixed integer programming model, and the mixed integer programming model consists of a day-ahead scheduling model, an hour-ahead scheduling model and a real-time load shedding model. The three models are sequentially solved under a risk constraint method to obtain a global optimal strategy in the entire scheduling period, and then asequential scene tree is generated. The dual interior point method is used to solve the mixed integer programming model, and the optimal unit commitment scheme is obtained to find the optimal equilibrium point between the efficient utilization of wind power and the potential risks. Compared with the conventional dispatching method, the method used in the invention can adjust the dispatching strategy according to the update of the weather forecast information, thus avoiding the premature cut-off of the wind turbine and improving the utilization rate of the wind power.

Description

technical field [0001] The invention relates to the technical field of power system operation and scheduling, in particular to a method for improving wind power utilization in extreme weather environments by using risk-constrained scheduling. Background technique [0002] In recent years, the proportion of wind power generation has been continuously increasing, and its economic and environmental protection features have brought a lot of benefits to the majority of users. hazards to the environment. However, wind power generation is easily affected by the weather environment. Under extreme weather conditions, the utilization rate of wind turbines is low due to premature withdrawal of wind turbines. Therefore, improving the utilization rate of wind power has become the primary problem to be solved at this stage. [0003] The current scheduling methods mainly include scenario-based stochastic planning and advanced scheduling. Scenario-based stochastic planning has the followi...

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Problems solved by technology

[0003] The current scheduling methods mainly include scenario-based stochastic planning and advanced scheduling. Scenario-based stochastic planning has the following disadvantages: ① the complexity of calculation increases exponentially with the increase of the number of scenarios; ② does not use continuous probability Density function, which may lead to the lo

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