Key Technology Optimization and Development of New Energy Enterprises of Photovoltaic Power Generation

  • Jiangping Nan Electrical Engineering College, Xi’an Traffic Engineering Institute, Xi’an, China
Keywords: photovoltaic power generation, adaptive control algorithm, inverter


In order to improve the algorithm of time-varying parameters and unknown parameters adaptability, avoid assuming the approximate part deviation caused by the algorithm, this paper proposes a adaptive control algorithm, the algorithm based on lyapunov direct method to predict the output voltage in the process of estimating each parameter in a reasonable manner to parameter estimation error with the actual output current and current automatic adjustment. The adaptive control of current tracking is realized and the error caused by assuming voltage or current and neglecting line resistance is avoided in the predictive current control algorithm. The simulation results show that the tracking current can track the target current with high precision from t = 0 in the presence of random noise, and the power factor is close to 1, showing a good steady-state performance. Frequency domain waveform, the calculated harmonic distortion rate is 2.2418%, waveform quality is good and each harmonic amplitude is small. Conclusion: adaptive control algorithm can quickly and accurately realize current tracking and greatly suppress the noise.


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Author Biography

Jiangping Nan, Electrical Engineering College, Xi’an Traffic Engineering Institute, Xi’an, China

Jiangping Nan, female, associate professor of the School of Electrical Engineering, her research field is the research of multi-sensor information fusion technology. Published more than 10 papers, applied for multiple patents and software works, edited and participated in editing multiple textbooks. Presided over and completed the industry-university cooperative research project of the Ministry of Education and the Youth Fund Project of the Shaanxi Provincial Department of Education. Participated in the school’s second classroom lecture competition in 2020, won the second prize, and was promoted to participate in the provincial competition. In 2018, she instructed vocational students to participate in the “Mechatronics Project of Shaanxi Higher Vocational Education” competition and won the third prize. In 2014, instructed students to participate in the Northwest Region Robot Competition and won the first prize.


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Renewable Power and Energy Systems