Modelling and control of solar thermal power generation network in smart grid
The thermal storage system is an essential part of the trough solar thermal power generation system. Due to the strong randomness, intermittency, and volatility of solar energy resources, to further improve the system’s overall reliability to meet the needs of variable operating conditions,...
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VINCA Institute of Nuclear Sciences
2021-01-01
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doaj-23e04831e52945e19fa12a328bef94bf2021-07-23T07:12:57ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362334-71632021-01-01254 Part B2861287010.2298/TSCI2104861W0354-98362104861WModelling and control of solar thermal power generation network in smart gridWang Ruilian0Zhang Zichao1Wei Xinxu2School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou, ChinaThe thermal storage system is an essential part of the trough solar thermal power generation system. Due to the strong randomness, intermittency, and volatility of solar energy resources, to further improve the system’s overall reliability to meet the needs of variable operating conditions, the paper optimizes the control strategy of the trough solar heat storage system. Taking the molten salt heat storage medium in the oil/salt heat exchanger, the core equipment of the heat storage system, as the critical research object, the article adopts proportional, integral, and differential (PID) control theories. It builds the system in the MATLAB/Simulink simulation environment mathematical model. We use the critical proportionality method to determine many critical parameters in the control system, tune the proportional coefficient, integral time, and other physical quantities in the PID controller, and analyze the proportional control, proportional-integral control, PID controls the respective dynamic response characteristics of these three different control systems. The simulation and comparative analysis results show that: compared with the other two control methods, PID control can effectively weaken the heat storage system oscillation caused by external disturbance, its dynamic response speed is faster, the adjustment time is shorter, and it can meet the requirements of operational stability. The paper adopts PID control, which reduces the control difficulty of the trough solar heat storage system and improves the adaptability to changes in external meteorological resources. The research results have particular guiding significance at the academic and engineering levels.http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362104861W.pdfpower generation networkdifferential controlheat storage systemcritical proportionality methodparameter tuningsolar energy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wang Ruilian Zhang Zichao Wei Xinxu |
spellingShingle |
Wang Ruilian Zhang Zichao Wei Xinxu Modelling and control of solar thermal power generation network in smart grid Thermal Science power generation network differential control heat storage system critical proportionality method parameter tuning solar energy |
author_facet |
Wang Ruilian Zhang Zichao Wei Xinxu |
author_sort |
Wang Ruilian |
title |
Modelling and control of solar thermal power generation network in smart grid |
title_short |
Modelling and control of solar thermal power generation network in smart grid |
title_full |
Modelling and control of solar thermal power generation network in smart grid |
title_fullStr |
Modelling and control of solar thermal power generation network in smart grid |
title_full_unstemmed |
Modelling and control of solar thermal power generation network in smart grid |
title_sort |
modelling and control of solar thermal power generation network in smart grid |
publisher |
VINCA Institute of Nuclear Sciences |
series |
Thermal Science |
issn |
0354-9836 2334-7163 |
publishDate |
2021-01-01 |
description |
The thermal storage system is an essential part of the trough solar thermal
power generation system. Due to the strong randomness, intermittency, and
volatility of solar energy resources, to further improve the system’s
overall reliability to meet the needs of variable operating conditions, the
paper optimizes the control strategy of the trough solar heat storage
system. Taking the molten salt heat storage medium in the oil/salt heat
exchanger, the core equipment of the heat storage system, as the critical
research object, the article adopts proportional, integral, and
differential (PID) control theories. It builds the system in the
MATLAB/Simulink simulation environment mathematical model. We use the
critical proportionality method to determine many critical parameters in the
control system, tune the proportional coefficient, integral time, and other
physical quantities in the PID controller, and analyze the proportional
control, proportional-integral control, PID controls the respective dynamic
response characteristics of these three different control systems. The
simulation and comparative analysis results show that: compared with the
other two control methods, PID control can effectively weaken the heat
storage system oscillation caused by external disturbance, its dynamic
response speed is faster, the adjustment time is shorter, and it can meet
the requirements of operational stability. The paper adopts PID control,
which reduces the control difficulty of the trough solar heat storage system
and improves the adaptability to changes in external meteorological
resources. The research results have particular guiding significance at the
academic and engineering levels. |
topic |
power generation network differential control heat storage system critical proportionality method parameter tuning solar energy |
url |
http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362104861W.pdf |
work_keys_str_mv |
AT wangruilian modellingandcontrolofsolarthermalpowergenerationnetworkinsmartgrid AT zhangzichao modellingandcontrolofsolarthermalpowergenerationnetworkinsmartgrid AT weixinxu modellingandcontrolofsolarthermalpowergenerationnetworkinsmartgrid |
_version_ |
1721290353366007808 |