Research on parameter identification of photovoltaic array model based on improved teaching and learning optimization
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(1. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210024, China;2. Changzhou Electric Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Changzhou 213003, China)

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TM713;TK018

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    Abstract:

    The accuracy of model and parameter identification in photovoltaic(PV)power generation system is of great significance for PV plant fault diagnosis, power prediction and stability evaluation of grid-connected operation. Based on single diode model, the mathematical model of PV array is established. An improved teaching and learning - based optimization algorithm based on the Tent chaotic maps is used to identify the model parameters.The measured data are compared with the simulation results of parameter identification. The accuracy, solving speed ability and stability of model are verified. The proposed model lay the foundation of modeling integrated energy system in the further research.

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丁 晓,郑文明,岳 立,刘啸瑜,许一川,张峰毓.基于改进教与学优化的光伏阵列模型参数辨识研究[J].电力需求侧管理英文版,2022,24(1):14-20.

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History
  • Received:October 24,2021
  • Revised:November 17,2021
  • Adopted:
  • Online: February 17,2022
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