Transient Analysis and Execution-Level Power Tracking Control of the Concentrating Solar Thermal Power Plant

Concentrating solar power (CSP) is a promising technology for exploiting solar energy. A major advantage of CSP plants lies in their capability of integrating with thermal energy storage; hence, they can have a similar operability to that of fossil-fired power plants, i.e., their power output can be...

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Main Authors: Xiufan Liang, Yiguo Li
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/8/1564
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author Xiufan Liang
Yiguo Li
author_facet Xiufan Liang
Yiguo Li
author_sort Xiufan Liang
collection DOAJ
description Concentrating solar power (CSP) is a promising technology for exploiting solar energy. A major advantage of CSP plants lies in their capability of integrating with thermal energy storage; hence, they can have a similar operability to that of fossil-fired power plants, i.e., their power output can be adjusted as required. For this reason, the power output of such CSP plants is generally scheduled to maximize the operating revenue by participating in electric markets, which can result in frequent changes in the power reference signal and introduces challenges to real-time power tracking. To address this issue, this paper systematically studies the execution-level power tracking control strategy of an CSP plant, primarily aiming at coordinating the control of the sluggish steam generator (including the economizer, the boiler, and the superheater) and the fast steam turbine. The governing equations of the key energy conversion processes in the CSP plant are first presented and used as the simulation platform. Then, the transient behavior of the CSP plant is analyzed to gain an insight into the system dynamic characteristics and control difficulties. Then, based on the step-response data, the transfer functions of the CSP plant are identified, which form the prediction model of the model predictive controller. Finally, two control strategies are studied through simulation experiments: (1) the heuristic PI control with two operation modes, which can be conveniently implemented but cannot coordinate the control of the power tracking speed and the main steam parameters, and (2) advanced model predictive control (MPC), which overcomes the shortcoming of PI (Proportional-Integral) control and can significantly improve the control performance.
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spelling doaj.art-558a0eb466004c89bfe4cfa9bd8b4bca2022-12-22T04:09:51ZengMDPI AGEnergies1996-10732019-04-01128156410.3390/en12081564en12081564Transient Analysis and Execution-Level Power Tracking Control of the Concentrating Solar Thermal Power PlantXiufan Liang0Yiguo Li1Key laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, ChinaKey laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, ChinaConcentrating solar power (CSP) is a promising technology for exploiting solar energy. A major advantage of CSP plants lies in their capability of integrating with thermal energy storage; hence, they can have a similar operability to that of fossil-fired power plants, i.e., their power output can be adjusted as required. For this reason, the power output of such CSP plants is generally scheduled to maximize the operating revenue by participating in electric markets, which can result in frequent changes in the power reference signal and introduces challenges to real-time power tracking. To address this issue, this paper systematically studies the execution-level power tracking control strategy of an CSP plant, primarily aiming at coordinating the control of the sluggish steam generator (including the economizer, the boiler, and the superheater) and the fast steam turbine. The governing equations of the key energy conversion processes in the CSP plant are first presented and used as the simulation platform. Then, the transient behavior of the CSP plant is analyzed to gain an insight into the system dynamic characteristics and control difficulties. Then, based on the step-response data, the transfer functions of the CSP plant are identified, which form the prediction model of the model predictive controller. Finally, two control strategies are studied through simulation experiments: (1) the heuristic PI control with two operation modes, which can be conveniently implemented but cannot coordinate the control of the power tracking speed and the main steam parameters, and (2) advanced model predictive control (MPC), which overcomes the shortcoming of PI (Proportional-Integral) control and can significantly improve the control performance.https://www.mdpi.com/1996-1073/12/8/1564CSP plant modeltransient analysispower tracking controltwo-tank direct energy storage
spellingShingle Xiufan Liang
Yiguo Li
Transient Analysis and Execution-Level Power Tracking Control of the Concentrating Solar Thermal Power Plant
Energies
CSP plant model
transient analysis
power tracking control
two-tank direct energy storage
title Transient Analysis and Execution-Level Power Tracking Control of the Concentrating Solar Thermal Power Plant
title_full Transient Analysis and Execution-Level Power Tracking Control of the Concentrating Solar Thermal Power Plant
title_fullStr Transient Analysis and Execution-Level Power Tracking Control of the Concentrating Solar Thermal Power Plant
title_full_unstemmed Transient Analysis and Execution-Level Power Tracking Control of the Concentrating Solar Thermal Power Plant
title_short Transient Analysis and Execution-Level Power Tracking Control of the Concentrating Solar Thermal Power Plant
title_sort transient analysis and execution level power tracking control of the concentrating solar thermal power plant
topic CSP plant model
transient analysis
power tracking control
two-tank direct energy storage
url https://www.mdpi.com/1996-1073/12/8/1564
work_keys_str_mv AT xiufanliang transientanalysisandexecutionlevelpowertrackingcontroloftheconcentratingsolarthermalpowerplant
AT yiguoli transientanalysisandexecutionlevelpowertrackingcontroloftheconcentratingsolarthermalpowerplant