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Papers by Nguyễn Ngọc Khoát

Research paper thumbnail of Research on a Sugeno Fuzzy Logic Controller Compared to a Mamdani-Based PI-Type Fuzzy Logic Inference Model

The University of Danang - Journal of Science and Technology, Jun 30, 2022

Fuzzy logic-based control schemes have been selected as a perfect replacement for traditional reg... more Fuzzy logic-based control schemes have been selected as a perfect replacement for traditional regulators e.g. PI and PID due to their undeniable advantages such as no need of exact models and only depending upon expert's experiences. It should be prominent in using these fuzzy logic structures the PI-like Mamdani and Sugeno-based inference models have been widely used in academic studies. This paper focuses on creating a theoretical analysis and comparison for both of them. A typical case study regarding the speed control of a hydropower plant against various load changes is taken into consideration in order to demonstrate the applicability of the proposed control strategy. This is considered to be one of the most crucial control strategies for operation and stability of a hydropower plant. It was found that a lot of promising simulation results obtained by using Matlab/Simulink software when applying the PI-like Sugeno fuzzy logic controller are superior to those of the existing counterparts such as conventional PID and Mamdani-based one in dealing with the generator's speed control problem presented in this study.

Research paper thumbnail of An Efficient Decentralized Control Strategy Applied to an Interconnected Multi-Machine Electric Power Grid

Indian Journal of Science and Technology, 2016

Large-scale systems, i.e. ecological networks (or ecosystems), water grids and traffic networks, ... more Large-scale systems, i.e. ecological networks (or ecosystems), water grids and traffic networks, normally compose of many subsystems with a numerous number of nonlinearities and uncertainties. This is because such systems have large dimension, high dynamic order, unknown parameters, restriction of information about the system behaviors, etc. Therefore, it is highly challenging to tackle the modeling and control of a large-scale system to ensure the quality, the stability as well as the reliability of the network 1,2. As a typical case of the large-scale systems, a multi-machine electric power grid contains many subsystems, including synchronous generators, power stations, transmission lines and distribution networks. Furthermore, random disturbances, such as load variations and sudden phenomena, usually appear in an

Research paper thumbnail of A novel integration of pd-type fuzzy logic controllers and smes devices to maintain the network frequency of a large-scale power system

Journal of Computer Science and Cybernetics, Jun 12, 2017

A modern electric power plant is typically considered to be a large-scale system. Due to continua... more A modern electric power plant is typically considered to be a large-scale system. Due to continual and random occurrence of load changes, maintenance of network frequency (or load frequency control LFC) at its nominal value is one of the most crucial control problems in order to ensure the stability and reliability of such an electric power grid. This study investigates a new efficient integration of fuzzy logic controllers based on PD principle and superconducting magnetic energy storage (SMES) devices in an effort to protect the system frequency from the load variations. It is well known that the PD-based fuzzy logic controllers, when applied to an LFC strategy, are capable of damping quickly the oscillations of both the system frequency and tie-line power deviations. In addition, the load disturbances can be compensated if the network is applying the SMES devices. Therefore, the integration between them might become an efficiently feasible solution for the LFC issue. The superiority of the proposed control methodology over conventional regulators is verified through a number of numerical simulations which will be implemented in this study for a five-area electric power grid model.

Research paper thumbnail of Research on a Sugeno Fuzzy Logic Controller Compared to a Mamdani-Based PI-Type Fuzzy Logic Inference Model

The University of Danang - Journal of Science and Technology, Jun 30, 2022

Fuzzy logic-based control schemes have been selected as a perfect replacement for traditional reg... more Fuzzy logic-based control schemes have been selected as a perfect replacement for traditional regulators e.g. PI and PID due to their undeniable advantages such as no need of exact models and only depending upon expert's experiences. It should be prominent in using these fuzzy logic structures the PI-like Mamdani and Sugeno-based inference models have been widely used in academic studies. This paper focuses on creating a theoretical analysis and comparison for both of them. A typical case study regarding the speed control of a hydropower plant against various load changes is taken into consideration in order to demonstrate the applicability of the proposed control strategy. This is considered to be one of the most crucial control strategies for operation and stability of a hydropower plant. It was found that a lot of promising simulation results obtained by using Matlab/Simulink software when applying the PI-like Sugeno fuzzy logic controller are superior to those of the existing counterparts such as conventional PID and Mamdani-based one in dealing with the generator's speed control problem presented in this study.

Research paper thumbnail of An Efficient Decentralized Control Strategy Applied to an Interconnected Multi-Machine Electric Power Grid

Indian Journal of Science and Technology, 2016

Large-scale systems, i.e. ecological networks (or ecosystems), water grids and traffic networks, ... more Large-scale systems, i.e. ecological networks (or ecosystems), water grids and traffic networks, normally compose of many subsystems with a numerous number of nonlinearities and uncertainties. This is because such systems have large dimension, high dynamic order, unknown parameters, restriction of information about the system behaviors, etc. Therefore, it is highly challenging to tackle the modeling and control of a large-scale system to ensure the quality, the stability as well as the reliability of the network 1,2. As a typical case of the large-scale systems, a multi-machine electric power grid contains many subsystems, including synchronous generators, power stations, transmission lines and distribution networks. Furthermore, random disturbances, such as load variations and sudden phenomena, usually appear in an

Research paper thumbnail of A novel integration of pd-type fuzzy logic controllers and smes devices to maintain the network frequency of a large-scale power system

Journal of Computer Science and Cybernetics, Jun 12, 2017

A modern electric power plant is typically considered to be a large-scale system. Due to continua... more A modern electric power plant is typically considered to be a large-scale system. Due to continual and random occurrence of load changes, maintenance of network frequency (or load frequency control LFC) at its nominal value is one of the most crucial control problems in order to ensure the stability and reliability of such an electric power grid. This study investigates a new efficient integration of fuzzy logic controllers based on PD principle and superconducting magnetic energy storage (SMES) devices in an effort to protect the system frequency from the load variations. It is well known that the PD-based fuzzy logic controllers, when applied to an LFC strategy, are capable of damping quickly the oscillations of both the system frequency and tie-line power deviations. In addition, the load disturbances can be compensated if the network is applying the SMES devices. Therefore, the integration between them might become an efficiently feasible solution for the LFC issue. The superiority of the proposed control methodology over conventional regulators is verified through a number of numerical simulations which will be implemented in this study for a five-area electric power grid model.