Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Photovoltaic cell MPPT simulation method based on fuzzy logic control

A technology of fuzzy logic and fuzzy control, applied in general control systems, control/regulation systems, simulators, etc., can solve problems such as small conductance value, large amount of online calculation, and few measurement parameters

Inactive Publication Date: 2017-07-14
NANTONG UNIVERSITY
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The constant voltage method is easy to implement, but the voltage corresponding to the photovoltaic cell MPP will shift due to the influence of the ambient temperature. When the ambient temperature difference is large, the tracking accuracy of this method is low and the power loss is large; the disturbance and observation method has a simple structure and the measurement parameters The control difficulty is that the selection of the disturbance step size is difficult to take into account the tracking speed and tracking accuracy, and it is easy to cause misjudgment when the light intensity changes sharply; the conductance incremental method can adapt to the rapid change of light intensity, and the tracking accuracy is high, but the conductance The value is small, the amount of online calculation is large, the accuracy of the sensor is very high, and the practical application is relatively difficult

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Photovoltaic cell MPPT simulation method based on fuzzy logic control
  • Photovoltaic cell MPPT simulation method based on fuzzy logic control
  • Photovoltaic cell MPPT simulation method based on fuzzy logic control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] 2. Research on the characteristics of photovoltaic cells

[0057] 2.1 Mathematical model of photovoltaic cells

[0058] Photovoltaic cells are the core components of photovoltaic power generation systems and can be regarded as a nonlinear DC source. Since some parameters in the physical model obtained from the equivalent circuit of photovoltaic cells are difficult to quantify, such as the photogenerated current I ph , Diode reverse saturation current I 0 etc., which are not convenient for calculation and modeling, so in practical applications, the photovoltaic cell engineering model is usually used:

[0059] I=I sc -C 1 I sc [exp(V / C 2 V oc )-1] (1)

[0060] Consider two special cases:

[0061] 1) Maximum power point, at this time V=V m , I=I m ,

[0062] 2) In the open circuit state, V=V at this time oc , I=0,

[0063] can be solved separately:

[0064] C 1 =(1-I m / I sc )exp(-V m / C 2 V oc ) (2)

[0065] C 2 =(V m / V oc -1)[ln(1-I m / I sc )] ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses a photovoltaic cell MPPT simulation method based on fuzzy logic control. The method comprises design of a fuzzy logic controller and fuzzy logic control simulation; wherein the design of the fuzzy logic controller comprises: determining input / output amount and the structure of the controller, determining the fuzzy subset and the domain of the input / output amount, determining the subordinating degree function of the input / output amount and determining the fuzzy control rule, etc. Through combination of the control idea of the perturbation and observation method and the fuzzy logic control theory, the photovoltaic cell MPPT simulation method based on fuzzy logic control is provided; the simulation model is built to compared with and simulate the perturbation and observation method and the conductance increment method; according to the simulation result, the fuzzy logic control is very suitable for the MPPT control of the photovoltaic system so as to rapidly and accurately lock the MPP range, and the fluctuation is little after the system is stable.

Description

technical field [0001] The invention relates to a photovoltaic battery MPPT simulation method. Background technique [0002] Affected by external environmental factors such as temperature and light intensity, photovoltaic cells show strong nonlinearity in actual work. Under different conditions, photovoltaic cells have different and unique maximum power points (MPPs). Therefore, research on photovoltaic cells The strategy of battery maximum power point tracking (MPPT) to ensure maximum conversion of light energy into electrical energy by photovoltaic cells is of great significance to the development of photovoltaic power generation technology. [0003] The essence of MPPT is a dynamic self-optimization process, which plays a role in matching the internal resistance of photovoltaic cells and external load impedance, and MPP is the best operating point of photovoltaic cells. At present, the commonly used MPPT algorithms mainly include constant voltage method (CVT), perturbati...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G05B17/02
CPCG05B17/02
Inventor 杨奕杨元培王建山张桂红顾海勤李俊红吴松周
Owner NANTONG UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products