Multi-target random dynamic economic dispatch method based on scenario decoupling and asynchronous iteration

A stochastic dynamic and economical scheduling technology, applied in the direction of AC network circuits, circuit devices, single-network parallel feeding arrangements, etc., can solve problems such as inability to solve

Inactive Publication Date: 2017-09-15
RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER +1
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However, this problem cannot be solved by using some commercial soft

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  • Multi-target random dynamic economic dispatch method based on scenario decoupling and asynchronous iteration
  • Multi-target random dynamic economic dispatch method based on scenario decoupling and asynchronous iteration
  • Multi-target random dynamic economic dispatch method based on scenario decoupling and asynchronous iteration

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[0121]In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted herein to avoid unnecessarily limiting the ...

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Abstract

The invention discloses a multi-target random dynamic economic dispatch method based on scenario decoupling and asynchronous iteration. The method herein includes the following steps: 1. assigning relevant computing parameters; 2. establishing a multi-target random dynamic economic dispatch model; 3. using scenario decoupling and asynchronous iteration to improve the interior point method to resolve the multi-target random dynamic economic dispatch model. According to the invention, the method uses the scenario method translates the problem of multi-target random dynamic economic dispatch to the problem of large-scale multi-target deterministic dynamic economic dispatch, translates the problem of large-scale multi-target deterministic dynamic economic dispatch to the problem of a series of large-scale single object non-linear planning by means of the normal boundary cross method, conducts resolution by using the nonlinear primal-dual interior point algorithm, and avoids the generation of dense matrix, such that the matrix in the entire computing process is sparse, is better compatible with economy and environmental protection in operating a power grid, and therefore is a dispatch plan with higher operation benefits.

Description

technical field [0001] The invention relates to a multi-objective random dynamic economic scheduling method based on scenario decoupling and asynchronous iteration for day-ahead operation scheduling of provincial power systems, and belongs to the technical field of electrical engineering. Background technique [0002] The dynamic economic dispatch problem after the wind farm is connected to the power system is actually a stochastic optimization problem. Early research in this area utilized chance-constrained models and robust optimization models. Chance-constrained models are not precise enough considering randomness, while robust optimization models are conservative in their calculation results. Recently, Argonne National Laboratory in the United States has studied stochastic programming with the idea of ​​using a scene tree model to generate a large number of random error scenarios, and using a supercomputer to perform precise calculations on the problem. At present, the...

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Application Information

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IPC IPC(8): H02J3/46
CPCH02J3/46H02J2203/20
Inventor 付一木赵维兴李晨辉邱轩宇朱庆钢郑志杰刘晓明田鑫孙东磊王轶群高效海魏佳赵龙魏鑫
Owner RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER
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