Speed control of hydraulic turbines for grid synchronization using simple adaptive add-ons

Background: Parameters of the hydroelectric power plant controllers are typically tuned at the nominal operating conditions such as nominal head and single unit operation. Water level variations in reservoir and/or tailwater, and the presence of other active units sharing the penstock are common dis...

Full description

Bibliographic Details
Main Authors: Dogan Gezer, Yiğit Taşcıoğlu, Kutay Çelebioğlu
Format: Article
Language:English
Published: SAGE Publishing 2018-09-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/0020294018786743
id doaj-1cac8be82731405e81c0a7bac0a37601
record_format Article
spelling doaj-1cac8be82731405e81c0a7bac0a376012020-11-25T03:44:06ZengSAGE PublishingMeasurement + Control0020-29402018-09-015110.1177/0020294018786743Speed control of hydraulic turbines for grid synchronization using simple adaptive add-onsDogan Gezer0Yiğit Taşcıoğlu1Kutay Çelebioğlu2Department of Mechanical Engineering, TOBB University of Economics and Technology, Ankara, TurkeyDepartment of Mechanical Engineering, TOBB University of Economics and Technology, Ankara, TurkeyETU Hydro, TOBB University of Economics and Technology, Ankara, TurkeyBackground: Parameters of the hydroelectric power plant controllers are typically tuned at the nominal operating conditions such as nominal head and single unit operation. Water level variations in reservoir and/or tailwater, and the presence of other active units sharing the penstock are common disturbances to the nominal assumption. Methods: This article proposes two adaptive add-ons, namely gain scheduling and model reference adaptive control, to the existing speed controllers to improve grid synchronization performance when the site conditions are not nominal. The add-ons were designed and tested on a validated dynamic model of a power plant unit by using a software-in-the-loop simulation setup. An off-season scenario is simulated, in which the original controller of the unit cannot bring the turbine to synchronize with the grid due to low gross head. Then, the add-ons were implemented on-site and experiments were performed under similar conditions. The parameter sets used in gain scheduling for different operation bands are determined off-line with the help of operational experience. The model reference adaptive control add-on requires a reference model and a learning rate. A description of the turbine speed-up profile at nominal operating conditions is sufficient to be used as the reference model. The proposed piecewise linear reference model favors stability over speed in settling to the nominal speed. Results: It is experimentally shown that the proposed add-ons compensate the negative effect of head loss in grid synchronization, and perform similar to the ideal performance at the nominal head. Conclusion: Both add-ons can be implemented on the available off-the-shelf speed governor controllers. They are suitable for use in all hydroelectric power plants, especially in unmanned ones, for automatic synchronization with less waste water.https://doi.org/10.1177/0020294018786743
collection DOAJ
language English
format Article
sources DOAJ
author Dogan Gezer
Yiğit Taşcıoğlu
Kutay Çelebioğlu
spellingShingle Dogan Gezer
Yiğit Taşcıoğlu
Kutay Çelebioğlu
Speed control of hydraulic turbines for grid synchronization using simple adaptive add-ons
Measurement + Control
author_facet Dogan Gezer
Yiğit Taşcıoğlu
Kutay Çelebioğlu
author_sort Dogan Gezer
title Speed control of hydraulic turbines for grid synchronization using simple adaptive add-ons
title_short Speed control of hydraulic turbines for grid synchronization using simple adaptive add-ons
title_full Speed control of hydraulic turbines for grid synchronization using simple adaptive add-ons
title_fullStr Speed control of hydraulic turbines for grid synchronization using simple adaptive add-ons
title_full_unstemmed Speed control of hydraulic turbines for grid synchronization using simple adaptive add-ons
title_sort speed control of hydraulic turbines for grid synchronization using simple adaptive add-ons
publisher SAGE Publishing
series Measurement + Control
issn 0020-2940
publishDate 2018-09-01
description Background: Parameters of the hydroelectric power plant controllers are typically tuned at the nominal operating conditions such as nominal head and single unit operation. Water level variations in reservoir and/or tailwater, and the presence of other active units sharing the penstock are common disturbances to the nominal assumption. Methods: This article proposes two adaptive add-ons, namely gain scheduling and model reference adaptive control, to the existing speed controllers to improve grid synchronization performance when the site conditions are not nominal. The add-ons were designed and tested on a validated dynamic model of a power plant unit by using a software-in-the-loop simulation setup. An off-season scenario is simulated, in which the original controller of the unit cannot bring the turbine to synchronize with the grid due to low gross head. Then, the add-ons were implemented on-site and experiments were performed under similar conditions. The parameter sets used in gain scheduling for different operation bands are determined off-line with the help of operational experience. The model reference adaptive control add-on requires a reference model and a learning rate. A description of the turbine speed-up profile at nominal operating conditions is sufficient to be used as the reference model. The proposed piecewise linear reference model favors stability over speed in settling to the nominal speed. Results: It is experimentally shown that the proposed add-ons compensate the negative effect of head loss in grid synchronization, and perform similar to the ideal performance at the nominal head. Conclusion: Both add-ons can be implemented on the available off-the-shelf speed governor controllers. They are suitable for use in all hydroelectric power plants, especially in unmanned ones, for automatic synchronization with less waste water.
url https://doi.org/10.1177/0020294018786743
work_keys_str_mv AT dogangezer speedcontrolofhydraulicturbinesforgridsynchronizationusingsimpleadaptiveaddons
AT yigittascıoglu speedcontrolofhydraulicturbinesforgridsynchronizationusingsimpleadaptiveaddons
AT kutaycelebioglu speedcontrolofhydraulicturbinesforgridsynchronizationusingsimpleadaptiveaddons
_version_ 1724516149926821888