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Granular computing method for aiming at large-scale economical scheduling problem of power grid

An economic scheduling and granular computing technology, applied in the field of granular computing, can solve problems such as shortening computing time

Active Publication Date: 2018-02-02
保定市兆微软件科技有限公司
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Problems solved by technology

[0003] The purpose of the present invention is to provide a granular computing method for large-scale economic dispatching problems of power grids by adopting a layered method to decompose the economic dispatching problem into multiple layers to reduce the computational complexity, shorten the computing time, and improve the accuracy and efficiency of power flow calculations

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  • Granular computing method for aiming at large-scale economical scheduling problem of power grid
  • Granular computing method for aiming at large-scale economical scheduling problem of power grid
  • Granular computing method for aiming at large-scale economical scheduling problem of power grid

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Embodiment Construction

[0105] The present invention will be further described below in conjunction with accompanying drawing:

[0106] Such as Figure 4 Shown, method of the present invention comprises the steps:

[0107] Step 1, establish an economic dispatch model, including its objective function and constraints;

[0108] Step 1-1, the specific process of establishing the economic dispatch model is as follows:

[0109] In the case of satisfying the constraint conditions, the objective function is to take the minimum total power generation cost of the generator, and its mathematical expression is as follows:

[0110]

[0111] where P G，i is the output power of generator i; a i , b i , c i is the cost coefficient of generating unit i; N is the number of all generators;

[0112] Step 1-2, set the constraint conditions of the model, the constraint conditions include the system power balance constraints, the upper and lower limit constraints of conventional unit output;

[0113] The specifi...

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Abstract

The invention discloses a granular computing method for aiming at a large-scale economical scheduling problem of a power grid. The method comprises the steps of 1, establishing an economical scheduling model which comprises an objective function and a restricting condition of the model; 2, performing layered granulating on the power grid; 3, performing parameter equalization; 4, performing granularity dividing; 5, processing a restraining condition; and 6, optimizing set output by means of the granular computing method. The granular computing method has beneficial effects of realizing comprehensive factor consideration, improving computing precision, presetting layered granulating and applying an analytic hierarchy process for solving the problem, greatly reducing computing time and improving computing efficiency. For a large-scale power grid, if an appropriate set dividing method is utilized and particle parameter equalization is performed, a problem of difficult convergence can be settled and furthermore computing speed can be improved.

Description

technical field [0001] The invention relates to the technical field of power system economic dispatching, in particular to a granular computing method for large-scale economic dispatching problems. Background technique [0002] Economic dispatch takes the lowest power supply cost or energy consumption of the entire network as the objective function, and dispatches according to the equal micro-increase rate method and the coordination equation. It is an important tool to realize the economic operation of the power system and a scientific method in the operation link. It is a scheduling principle generally adopted by various countries in the world. At present, the main problems encountered in the online economic dispatching research of large power grids are the large amount of data, the long time period of acquisition and calculation, and the difficulty of reflecting the operation status of the power grid in real time, which makes it difficult to realize economic dispatching. ...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q50/06Y02E40/70Y04S10/50
Inventor 李学平郭东成方亮星
Owner 保定市兆微软件科技有限公司
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