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,...

Full description

Bibliographic Details
Main Authors: Wang Ruilian, Zhang Zichao, Wei Xinxu
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2021-01-01
Series:Thermal Science
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362104861W.pdf
id doaj-23e04831e52945e19fa12a328bef94bf
record_format Article
spelling 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