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Identification method for photovoltaic inverter control parameters based on self-adaptive differential evolution algorithm

A photovoltaic inverter and self-adaptive differential technology, which is applied in photovoltaic power generation, single-net parallel feeding arrangement, AC network circuit, etc., can solve the problem of inability to describe the high-frequency phenomenon of photovoltaic inverters, low identification accuracy, and difficulty in implementation major issues

Active Publication Date: 2017-01-04
HEFEI UNIV OF TECH +1
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Problems solved by technology

[0003] At present, the identification methods of photovoltaic inverter control parameters can be divided into two categories: the first is the state space averaging method, which mainly lists the state equations of each commutation process according to the on-off status of the power switch tube, and substitutes the low-frequency small signal Disturbance, the transfer function of the photovoltaic inverter is obtained through the Laplace transform; the second is the least square method, which mainly makes the most likely value of the control parameters of the photovoltaic inverter make the actual observation values ​​and calculation of the photovoltaic power station The sum of the squares of the value difference is the smallest; the state-space averaging method needs information such as the structure, parameters, differential equations, and switch topology of the photovoltaic inverter, which is difficult to implement and cannot describe the high-frequency phenomenon of the photovoltaic inverter; although the least squares method The principle is simple, but its identification accuracy is not high

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  • Identification method for photovoltaic inverter control parameters based on self-adaptive differential evolution algorithm
  • Identification method for photovoltaic inverter control parameters based on self-adaptive differential evolution algorithm
  • Identification method for photovoltaic inverter control parameters based on self-adaptive differential evolution algorithm

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Embodiment Construction

[0066] In this embodiment, the structure of the photovoltaic power station is as follows figure 1 As shown, the control strategy of the grid-connected inverter controller is as follows figure 2 As shown, the photovoltaic inverter is controlled by the grid-connected inverter controller, and the grid-connected inverter controller adopts the dq-axis decoupling voltage-reactive outer loop and current inner-loop control strategy for the photovoltaic inverter; The reactive outer loop and current inner loop control strategies include 8 control parameters, which are: voltage outer loop proportional coefficient k pu , voltage outer loop integral coefficient k iu , reactive power outer loop proportional coefficient k pq , Reactive outer loop integral coefficient k iq , current inner ring d-axis proportional coefficient k pid , D-axis integral coefficient k of the current inner ring iid , current inner ring q-axis proportional coefficient k piq , current inner loop q-axis integral...

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Abstract

The invention discloses an identification method for photovoltaic inverter control parameters based on a self-adaptive differential evolution algorithm. The method is characterized by comprising the steps of 1, setting a disturbance point in an outgoing line of a photovoltaic inverter to collect disturbance data required for parameter identification; 2, carrying out outlier rejection and correction on input and output sampling sequences of the photovoltaic inverter; and 3, identifying a d-axis control parameter and a q-axis control parameter of the photovoltaic inverter through the self-adaptive differential evolution algorithm. According to the method, photovoltaic inverter control parameter values can be obtained rapidly and accurately, and thus the purpose of improving the precision of a photovoltaic model is achieved.

Description

technical field [0001] The invention relates to the technical field of power system analysis, and more specifically, the invention relates to a method for identifying control parameters of a photovoltaic inverter. Background technique [0002] Photovoltaic power plants have developed rapidly in China due to their clean, renewable and basically unrestricted by geographical conditions. As a key component, the inverter of a photovoltaic power station plays a decisive role in the transient characteristics of the photovoltaic system. The accuracy of its model control parameters is particularly important in the modeling of photovoltaic power stations and the analysis of power systems. Most of the mathematical models provided by photovoltaic inverter manufacturers have known internal structures, but in practical applications, when the operating status of photovoltaic power plants is different, the values ​​of photovoltaic inverter control parameters are not exactly the same. There...

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Application Information

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IPC IPC(8): H02J3/38
CPCH02J3/385Y02E10/56
Inventor 吴红斌刘众前丁明齐先军盛万兴吴鸣季宇
Owner HEFEI UNIV OF TECH
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