A method for solving a scene decoupling dynamic economic dispatching model of a wind power access system

Abstract

The invention discloses a method for solving a scene decoupling dynamic economic dispatching model of a wind power access system. The method comprises the following steps: S1, establishing a dynamic economic dispatching model considering the wind power access system based on the scene method; S2, a dynamic optimal relaxation optimization model is established on the basis of the calculation structure of the MCO method, and the optimal relaxation variables are obtained according to the coupling relationship between the decision variables at the system level and the decision variables at each error scenario level; S3, based on the core idea of MCO, the decoupling dynamic economic dispatching model of high-dimensional scenario based on dynamic optimal relaxation is established, and the original model is decoupled according to the error scenario, and the high-dimensional scenario decoupling model of dynamic economic dispatching of power system is obtained; S4, iteratively solving the modelestablished in step S3 until the system-level objective function value reaches the convergence condition. Compared with the traditional scene method, the proposed method has the advantages of lower computational difficulty and higher computational speed, and has certain practical value.

Description

technical field [0001] The invention relates to the field of dynamic economic dispatching of electric power systems, in particular to a method for solving a scene decoupling dynamic economic dispatching model of a wind power access system. Background technique [0002] At present, for the dynamic economic dispatching problem of power system with random variables such as wind power, most of the domestic and foreign research directly use the scenario method to model and solve it. In order to avoid the problem that when the number of scenarios is large, the decision variables and constraints of the model will increase significantly, which will lead to the exponential increase of the calculation amount and calculation time of the model. Some scholars propose to reduce the generated random error scenarios to improve the solution efficiency. , the commonly used scene reduction mainly includes fast predecessor elimination technology and clustering technology based on probability di...

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Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies in the prior art and provide a method for solving a scenario-decoupled dynamic economic dispatch model of a wind power access system. The method establishes a dynamic economic dispatch model considering the wind power access system based on the scenario method, According to the characteristics of the model, decoupling is carried out according to the error scenario, and a two-level optimization model at the system level and the error scenario level is obtained. By establishing a dynamic optimal relaxation optimization model, it can not only reasonably describe the coupling relationship between the system level and the error scenario level, but also enable There is an optimal slack variable in the ideal feasible region at the system level, so the original large-scale, nonlinear complex optimization problem is decomposed into a three-level optimization problem including the system level, slack variable level, and error scenario level; through the above decoupling, the The constraints and solution variables of a single optimization problem are greatly reduced. In addition, a dynamic optimal slack optimization model is established, which can ensure that the selection of system-level slack variables is reasonable and effective; compared with the traditional scenario method for solving dynamic economic dispatch of power systems, the present invention The calculation difficulty is greatly reduced, the calculation speed is fast, and it has certain practical value

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