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Improved particle swarm optimization-based economic load dispatching method for power system

A technology of economic load distribution and particle swarm algorithm, applied in the field of power system, can solve problems such as inability to solve ELD optimization problems, poor optimization effect of economic load distribution, limited performance improvement of power system economic load distribution, etc.

Inactive Publication Date: 2016-05-04
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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AI Technical Summary

Problems solved by technology

Therefore, under the high requirements for dimensionality and precision, the classic allocation optimization algorithm has a poor effect on the economic load allocation optimization of the power system, cannot solve the ELD optimization problem, and has limited improvement in the economic load allocation performance of the power system

Method used

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  • Improved particle swarm optimization-based economic load dispatching method for power system
  • Improved particle swarm optimization-based economic load dispatching method for power system
  • Improved particle swarm optimization-based economic load dispatching method for power system

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Embodiment Construction

[0034] The embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings, but the present embodiments are not intended to limit the present invention. All similar structures and similar changes of the present invention should be included in the scope of protection of the present invention. The commas in all indicate the relationship between and.

[0035] Such as figure 1 As shown, the embodiment of the present invention provides a power system economic load distribution method based on the improved particle swarm optimization algorithm, which is characterized in that the specific steps are as follows:

[0036] 1) Establish a particle swarm for the power system, the particle swarm takes the load in the power system as the particle, takes the load distribution point in the power system as the particle position, and takes the total power generation cost of the system as the objective function f(x);

[0037] 2) Set the ma...

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Abstract

The invention provides an improved particle swarm optimization-based economic load dispatching method for a power system, relates to the technical field of power systems, and aims at solving the technical problem of optimization of economic load dispatching of the power system. According to the method, a swarm management rule is introduced into a particle swarm optimization algorithm to form an effective swarm utilization strategy-based particle swarm algorithm; the quantity of particles is effectively changed through a global optimal value change of the swarm; the improved algorithm is high in convergence rate; and the convergence precision is high. The method provided by the invention is applied to economic load dispatching of the power system comprising different units, achieves performance improvement of economic load dispatching of the power system and obtains a good optimization effect.

Description

technical field [0001] The invention relates to power system technology, in particular to a technology based on an improved particle swarm algorithm-based power system economic load distribution method. Background technique [0002] The economic load dispatch (ELD) of power system is one of the typical optimization problems in power system load planning and operation dispatching. Solving this kind of optimization problem can effectively improve the economy and reliability of power system operation. [0003] Through relevant and targeted research on the power system, it is found that: due to the influence of the valve point effect of the generating set, the output characteristic curve of the generating set often presents the characteristics of nonlinear, non-convex, and non-conductive; due to the limitation of the transmission capacity of the distribution network and the stability of the system Therefore, the corresponding problem function is non-differentiable and non-differ...

Claims

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Application Information

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IPC IPC(8): H02J3/00G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06H02J3/00H02J3/003H02J2203/20
Inventor 吴辰斌李海明刘栋吴正阳武蕾
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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