Liqun Shang, Hangchen Guo, Weiwei Zhu. An Improved MPPT Control Strategy Based on Incremental Conductance Algorithm[J]. 现代电力系统保护与控制(英文), 2020,5(2):1-8.
Liqun Shang, Hangchen Guo, Weiwei Zhu. An improved MPPT control strategy basedon incremental conductance algorithm[J]. Protection and Control of Modern Power Systems, 2020, 5(2): 1-8.
Liqun Shang, Hangchen Guo, Weiwei Zhu. An Improved MPPT Control Strategy Based on Incremental Conductance Algorithm[J]. 现代电力系统保护与控制(英文), 2020,5(2):1-8.DOI: 10.1186/s41601-020-00161-z.
Liqun Shang, Hangchen Guo, Weiwei Zhu. An improved MPPT control strategy basedon incremental conductance algorithm[J]. Protection and Control of Modern Power Systems, 2020, 5(2): 1-8.DOI: 10.1186/s41601-020-00161-z.
An Improved MPPT Control Strategy Based on Incremental Conductance Algorithm
PV power production is highly dependent on environmental and weather conditions
such as solar irradiance and ambient temperature. Because of the single control condition and any change in the external environment
the first step response of the converter duty cycle of the traditional MPPT incremental conductance algorithm is not accurate
resulting in misjudgment. To improve the efficiency and economy of PV systems
an improved incremental conductance algorithm of MPPT control strategy is proposed. From the traditional incremental conductance algorithm
this algorithm is simple in structure and can discriminate the instantaneous increment of current
voltage and power when the external environment changes
and so can improve tracking efficiency. MATLAB simulations are carried out under rapidly changing solar radiation level
and the results of the improved and conventional incremental conductance algorithm are compared. The results show that the proposed algorithm can effectively identify the misjudgment and avoid its occurrence. It not only optimizes the system
but also improves the efficiency
response speed and tracking efficiency of the PV system
thus ensuring the stable operation of the power grid.
Abstract
PV power production is highly dependent on environmental and weather conditions
such as solar irradiance and ambient temperature. Because of the single control condition and any change in the external environment
the first step response of the converter duty cycle of the traditional MPPT incremental conductance algorithm is not accurate
resulting in misjudgment. To improve the efficiency and economy of PV systems
an improved incremental conductance algorithm of MPPT control strategy is proposed. From the traditional incremental conductance algorithm
this algorithm is simple in structure and can discriminate the instantaneous increment of current
voltage and power when the external environment changes
and so can improve tracking efficiency. MATLAB simulations are carried out under rapidly changing solar radiation level
and the results of the improved and conventional incremental conductance algorithm are compared. The results show that the proposed algorithm can effectively identify the misjudgment and avoid its occurrence. It not only optimizes the system
but also improves the efficiency
response speed and tracking efficiency of the PV system
thus ensuring the stable operation of the power grid.
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相关作者
Md. Yah-Ya UI Haque
Md. Rashidul Islam
Tanvir Ahmed
Md. Rafiqul Islam Sheikh
Jiehui Zheng
Lexian Zhai
Mingming Tao
Wenhu Tang
相关机构
Department of Electrical and Electronic Engineering, Varendra University, Rajshahi
Department of Electrical and Electronic Engineering, Rajshahi University of Engineering ∦ Technology, Rajshahi
The School of Electric Power Engineering, South China University of Technology
The School of Science and Engineering, The Chinese University of Hong Kong (), Shenzhen
School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China