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Modeling and Simulation Analysis of Solar Thermal Electric Plants Based on Petri Net

Rong Huang1, Xiaojuan Lu2,*, Zeping Liang2, Pengfei Gao1, Tian Liang1

1 State Grid Gansu Provincial Electric Power Company Electric Power Research Institute, Gansu Provincial Key Laboratory of New Energy Grid-Connected Operation Control, Lanzhou, 730070, China
2 Lanzhou Jiaotong University, Lanzhou, 730070, China

* Corresponding Author: Xiaojuan Lu. Email: email

Energy Engineering 2022, 119(4), 1711-1728. https://doi.org/10.32604/ee.2022.019128

Abstract

At present, solar thermal power generation is in the demonstration stage, and the large-scale production is affected by many factors. In view of the characteristics of different operating modes of photothermal power generation, it is analyzed that the turbine needs to be started and stopped frequently due to different operating modes, which will lead to the instability of the output energy and the reduction of power generation efficiency. In this paper, the dynamic equation of energy conversion process is established by using the law of conservation of energy and conservation of mass. Combined with the logic switching criterion of the system, the system model was established by using the extended differential Petri net, and the validity and accuracy of the model were verified. Through the Petri net model of the system, the system’s working mode switching and power generation situation are analyzed due to the difference of direct normal irradiation intensity (DNI). Finally, the accuracy of the model is proved by comparing it with experimental data of the photovoltaic and thermal demonstration projects that have been connected to the grid.

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Modeling and Simulation Analysis of Solar Thermal Electric Plants Based on Petri Net

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Cite This Article

Huang, R., Lu, X., Liang, Z., Gao, P., Liang, T. (2022). Modeling and Simulation Analysis of Solar Thermal Electric Plants Based on Petri Net. Energy Engineering, 119(4), 1711–1728. https://doi.org/10.32604/ee.2022.019128



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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