Optimal Controller Design for a Turbogenerator Automatic Voltage Regulator and Governor using Two Degree of Freedom Linear Quadratic Gaussian (2DOFLQG)

Tuaimah, Firas M.; Al-rawi, Nihad M.; Mahmoud, Waleed A.

doi:10.5120/14890-3289

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…Many studies have introduced different control methods concerned with controlling the turbogenerator systems. In [20], designing of two degree of freedom optimal controller for a turbogenerator governor. In [21][22][23], fuzzy logic controller has been designed for improving the performance of turbogenerator system at different operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Design of Optimal Real Time Emulators for Steam and Wind Turbines for Avoiding Risky Severe Conditions

Zoghby

Ramadan

Alhelou

2022

Preprint

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Modern energy infrastructures may face critical impacts on distributed generation and microgrids in presence of renewable and conventional energy sources. Fast restorations for these networks through proposing convenient proactive protection systems become mandatory for securing energy particularly after severe faults. This paper deals with presenting a descriptive modelling and comprehensive analysis of both steam and wind turbines using optimal real time emulators with unique testbench. Based on the dynamics of each turbine, both emulators are performed using 4kW, 180V, 1500r.p.m separately exited DC motor coupled to 2kW, 380V, 50Hz, 1500r.p.m three-phase synchronous generator. For real-time interface implementation, the mathematical models of steam and wind turbines are realized using LabVIEWTM software. The characterization and verification of both emulated steam and wind turbines are examined at different normal operating conditions in terms of steam valve position and wind speed, respectively. To regulate the current for both systems despite their diverse dynamics, a simple industrial proportional-integral (PI) controller is considered. Unlike other artificial intelligence-based controllers, the offline-controller gains are scheduled using genetic algorithm (GA) via MatlabTM software to ensure the due fast response to cope with unexpected faults. The experimental validity of both emulators is tested at the most severe abnormal operating conditions. The three-phase short circuit is considered at the generator terminals with different fault periods until reaching out-of-step conditions. From numerical analysis and experimental results, the characterization of both emulated steam and wind turbines explicitly mimics their real large-scale turbines in normal conditions. The emulators’ fast responses using the proposed GA-PI control approach are verified. Besides, the experimental dynamic behavior convergence and interoperability between the emulated and real systems for both steam and wind turbines are validated under severe conditions. The practical results confirm the fast-nature performance of the GA in avoid risky instability conditions.

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Section: Introductionmentioning

confidence: 99%

Design of Optimal Real Time Emulators for Steam and Wind Turbines for Avoiding Risky Severe Conditions

Zoghby

Ramadan

Alhelou

2022

Preprint

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Steam Turbine Governor (STG) Controller Design Based on Particle Swarm Optimization (PSO)

Majeed¹

2021

IOP Conf. Ser.: Mater. Sci. Eng.

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A reheat and non-reheat steam turbines governor is a component of the turbine control system that regulates rotational speed in response to changing load conditions. The governor output signal manipulates the position of a steam inlet valve or nozzles which in turn regulates the steam flow to the turbine. The application of PID (proportional integral derivative (controller has been widely used from small industry to high technology industry. Tuning the parameters of a PID controller is very important in PID control, Ziegler-Nichols method also used to tune the coefficients of a PID controller. The compensation has been proposed to be 4%, 6%, 8%, 10% and 15% of the actual load. This paper evaluates the feasibility of using the Particle Swarm Optimization (PSO) method for determining the optimal PID controller parameters for steam turbine speed control. The PSO optimization technique is compared with Ziegler-Nichols method and (PID) controllers. It is validated that PSO based controller is more efficient in reducing the steady-states error, settling time, rising time, and overshooting limit in speed control of the steam turbine control. In which the maximum peak overshoot has been reduced from 44.8% in case of the original system without any controller to 3.45% for the case of PSO based controller and that for 15% load change.

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Optimal Controller Design for a Turbogenerator Automatic Voltage Regulator and Governor using Two Degree of Freedom Linear Quadratic Gaussian (2DOFLQG)

Cited by 2 publications

References 11 publications

Design of Optimal Real Time Emulators for Steam and Wind Turbines for Avoiding Risky Severe Conditions

Design of Optimal Real Time Emulators for Steam and Wind Turbines for Avoiding Risky Severe Conditions

Steam Turbine Governor (STG) Controller Design Based on Particle Swarm Optimization (PSO)

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