Three-phase inverter control method based on improved artificial bee colony algorithm

An artificial bee colony algorithm and three-phase inverter technology, applied in the field of electric power, can solve problems such as difficulty in setting control parameters of three-phase inverters, and achieve the effect of strong global search ability and improvement of global search ability.

Inactive Publication Date: 2021-09-17
NANCHANG UNIV
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Problems solved by technology

[0003] In order to solve the problem of difficult setting of three-phase inverter control parameters, the pres

Method used

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  • Three-phase inverter control method based on improved artificial bee colony algorithm
  • Three-phase inverter control method based on improved artificial bee colony algorithm
  • Three-phase inverter control method based on improved artificial bee colony algorithm

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Embodiment Construction

[0062] The technical solutions in the examples of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the examples of the present invention.

[0063] like Figure 1-4 As shown, an example of the present invention discloses a three-phase inverter control method based on the improved artificial bee colony algorithm, comprising the following steps:

[0064] Step1: Initialize the artificial bee colony, the dimension of the optimization problem is D, the total number of bee colonies is set to 2N, the number of hired bees is N, the number of observation bees and leader bees is equal, and the maximum number of iterations is M;

[0065] Step2: The position of the initial N honey sources, each leading bee corresponds to the position of a honey source, the formula for the initial position of the honey source is:

[0066]

[0067] In the formula, R is a random number in the interval [0,1], Represents the j-th dimensi...

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Abstract

The invention discloses a three-phase inverter control method based on an improved artificial bee colony algorithm, and relates to the technical field of electric power, and the method comprises the following steps: S1, building a three-phase inverter control structure; S2, initializing a population; S3, designing a calculation method of the fitness value of the optimal nectar source of the improved artificial bee colony algorithm; S4, according to the optimal solution obtained in the S3, transmitting the optimal solution to a three-phase inverter off-grid setting model and a three-phase inverter grid-connected setting model. A standard artificial bee colony algorithm is introduced to set control parameters of the three-phase inverter, a chaotic mapping improvement strategy is introduced on the basis of an artificial bee colony, the global search capability, the optimization searching precision and the convergence speed of the algorithm are improved, the chaotic improved artificial bee colony algorithm is applied to a PID control system to set the control parameters, a PID control parameter setting method based on a chaos improved artificial bee colony algorithm is provided, and finally the PID control parameter setting method is applied to a three-phase inverter off-grid and grid-connected parameter setting model.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a three-phase inverter control method based on an improved artificial bee colony algorithm. Background technique [0002] The inverter is a converter that can convert direct current into constant frequency and constant voltage or frequency modulation and voltage regulation alternating current, and is an extremely important device in the power industry. The output waveform of the inverter has a lot to do with the control parameters, how to select the control parameters of the inverter is the hot spot of current research. The traditional manual tuning method relies on human experience, and its performance is average. Relay feedback requires oscillation information, and some systems do not allow oscillation to occur. The parameter setting using swarm intelligence algorithm does not require the operator to have a lot of manual experience, takes less time, and has a good appl...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02M7/48G06F30/20G06N3/00
CPCH02J3/381H02M7/48G06N3/006G06F30/20H02J2203/20
Inventor 聂晓华王槐杰苏才淇高家明
Owner NANCHANG UNIV
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