Dynamic simulation of combined cycle power plant cycling in the electricity market

2016 ◽  
Vol 107 ◽  
pp. 76-85 ◽  
Author(s):  
A. Benato ◽  
S. Bracco ◽  
A. Stoppato ◽  
A. Mirandola
Author(s):  
S. Can Gu¨len ◽  
Joseph John

A combined cycle power plant (or any power plant, for that matter) does very rarely — if ever — run at the exact design point ambient and loading conditions. Depending on the demand for electricity, market conditions and other considerations of interest to the owner of the plant and the existing ambient conditions, a CC plant will run under boundary conditions that are significantly different from those for which individual components are designed. Accurate calculation of the “off-design” performance of the overall combined cycle system and its key subsystems requires highly detailed and complicated computer models. Such models are crucial to high-fidelity simulation of myriad off-design performance scenarios for control system development to ensure safe and reliable operability in the field. A viable option in lieu of sophisticated system simulation is making use of the normalized curves that are generated from rigorous model runs and applying the factors read from such curves to a known design performance to calculate the “off-design” performance. This is the common method adopted in the fulfillment of commercial transactions. These curves, however, are highly system-specific and their broad applicability to a wide variety of configurations is limited. Utilizing the key principles of the second law of thermodynamics, this paper describes a simple, physics-based calculation method to estimate the off-design performance of a combined cycle power plant. The method is shown to be quite robust within a wide range of operating regimes for a generic combined cycle system. As such, a second law based approach to off-design performance estimation is a highly viable tool for plant engineers and operators in cases where calculation speed with a small sacrifice in fidelity is of prime importance.


Author(s):  
Eric A. Mu¨ller ◽  
Andrew Wihler

In order to be able to optimally operate a combined cycle power plant in a liberalized electricity market, knowledge of the plant’s maximum exportable power generation capacity is vital. However, the maximum power output of a power plant is affected by numerous variable factors, such as the ambient conditions at the plant site. In addition, the allowable plant operating range might be narrowed by a compulsory reserve margin, if the power plant is participating in a frequency regulation program. In this paper, a power reserve controller is derived, which facilitates the optimal operation of a combined cycle gas turbine power plant subject to a reserve margin requirement. The power reserve controller bases on a mathematical description of the power plant and uses an adaptation mechanism to predict on a real-time basis the maximum allowable plant load limit. Based on tests on a single shaft combined cycle power plant, the operation of the power reserve controller is demonstrated and its performance is assessed. The test results prove that the controller predicts the maximum power output of the plant with high accuracy and that it is able to maintain a desired reserve capacity for frequency response as specified.


2011 ◽  
Vol 134 (1) ◽  
Author(s):  
Eric A. Müller ◽  
Andrew Wihler

In order to be able to optimally operate a combined cycle power plant in a liberalized electricity market, knowledge of the plant’s maximum exportable power generation capacity is vital. However, the maximum power output of a power plant is affected by numerous variable factors, such as the ambient conditions at the plant site. In addition, the allowable plant operating range might be narrowed by a compulsory reserve margin, if the power plant is participating in a frequency regulation program. In this paper, a power reserve controller is derived, which facilitates the optimal operation of a combined cycle gas turbine power plant subject to a reserve margin requirement. The power reserve controller is based on a mathematical description of the power plant and uses an adaptation mechanism to predict on a real-time basis the maximum allowable plant load limit. Based on tests on a single shaft combined cycle power plant, the operation of the power reserve controller is demonstrated and its performance is assessed. The test results prove that the controller predicts the maximum power output of the plant with high accuracy and that it is able to maintain a desired reserve capacity for frequency response as specified.


Author(s):  
S. Can Gülen ◽  
J Joseph

A combined cycle power plant (or any power plant, for that matter) does very rarely—if ever—run at the exact design point ambient and loading conditions. Depending on the demand for electricity, market conditions, and other considerations of interest to the owner of the plant and the existing ambient conditions, a combined cycle plant will run under boundary conditions that are significantly different from those for which individual components are designed. Accurate calculation of the “off-design” performance of the overall combined cycle system and its key subsystems requires highly detailed and complicated computer models. Such models are crucial to high-fidelity simulation of myriad off-design performance scenarios for control system development to ensure safe and reliable operability in the field. A viable option in lieu of sophisticated system simulation is making use of the normalized curves that are generated from rigorous model runs and applying the factors read from such curves to a known design performance to calculate the off-design performance. This is the common method adopted in the fulfillment of commercial transactions. These curves; however, are highly system-specific and their broad applicability to a wide variety of configurations is limited. Utilizing the key principles of the second law of thermodynamics, this paper describes a simple, physics-based calculation method to estimate the off-design performance of a combined cycle power plant. The method is shown to be quite robust within a wide range of operating regimes for a generic combined cycle system. As such, a second-law-based approach to off-design performance estimation is a highly viable tool for plant engineers and operators in cases where calculation speed with a small sacrifice in fidelity is of prime importance.


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