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An optimal selection method for new energy mixed system control parameters

A hybrid system and control parameter technology, which is used in flexible AC transmission systems, wind power generation, and single-grid parallel feeding arrangements. It can solve the problems of premature PSO algorithm and inability to obtain control parameters of new energy hybrid systems.

Active Publication Date: 2016-01-20
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

Due to the shortcomings of the PSO algorithm in solving complex optimization problems such as premature and falling into local minima, it may not be possible to obtain the optimal control parameters of the new energy hybrid system

Method used

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  • An optimal selection method for new energy mixed system control parameters
  • An optimal selection method for new energy mixed system control parameters
  • An optimal selection method for new energy mixed system control parameters

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Embodiment Construction

[0047] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not constitute a conflict with each other.

[0048] The invention relates to the optimization of control parameters of a new energy hybrid system, which consists of a wind power generation system, a solar thermal power generation system, a water electrolyzer, a fuel cell, a flywheel energy storage system, a battery energy storage system, a supercapacitor, a diesel generator and Micro power system components, such as figure 1 shown. The p...

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Abstract

The invention discloses an optimal selection method for new energy mixed system control parameters, and is used for carrying out optimal selection on PID control parameters in a new energy mixed system. A model is established according to the new energy mixed system; and then an objective function with PID controller input and output parameters as state variables is established according to a simulation system; and optimal PID control parameters are obtained by means of solving the objective function through utilization of the optimal selection method designed in the invention. The optimal selection method for new energy mixed system control parameters of the invention employs a novel heuristic optimization algorithm to optimize the objective function, and better objective function values can be searched, so that obtained solutions represent better PID control parameters. The better PID control parameters enable the frequency offset of the new energy mixed system to be smaller, the adjusting speed to be faster, the system response curve to be more smooth and the system adjusting quality to be higher.

Description

technical field [0001] The invention belongs to the technical field of new energy, and more specifically relates to a method for optimizing control parameters of a new energy hybrid system, which is used for optimizing proportional-integral-differentiation (PID) control parameters in the new energy hybrid system. Background technique [0002] With the increase in energy demand and the influence of global warming factors, the development, utilization and grid connection of new energy sources such as wind energy and solar energy have become an urgent need. The output of wind energy and solar energy fluctuates greatly. In order to stabilize the output fluctuation of new energy, energy storage devices and generator sets with flexible opening and closing are generally added to form a new energy hybrid system. By adjusting the system output, it can respond to the system load, thereby Make the system frequency fast and stable. [0003] New energy hybrid systems generally adopt PID...

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Application Information

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IPC IPC(8): H02J3/46
CPCY02E10/76Y02E40/10
Inventor 李超顺汪赞斌董伟王文潇魏巍毛翼丰
Owner HUAZHONG UNIV OF SCI & TECH
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