A novel load frequency control of multi area non-reheated thermal power plant using fuzzy PID cascade controller

Kumar, Ram; Sikander, Afzal

doi:10.1007/s12046-022-02071-2

Cited by 9 publications

(2 citation statements)

References 17 publications

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“…A multi-axis control module was designed with motor acceleration and deceleration for driving the moving parts. In addition, we have designed a temperature control module with fuzzy self-tuning PID control method to control the temperature of the blade more accurately [7][8][9][10] . In order to improve the user experience, we also added a human-computer interface that supports three levels of authority and parameter settings, etc [11][12] .This design aims to replace manual operations, thereby avoiding contamination of the tubing and ensuring aseptic operations throughout the tubing connection process.…”

Section: Introductionmentioning

confidence: 99%

Research on key technologies of aseptic tubing transfer system based on STM32

Bao,

2024

Fourth International Conference on Sensors and Information Technology (ICSI 2024)

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In the context of thermal fusion tubing operations in biopharmaceutical manufacturing, we are currently researching an instrument designed to autonomously carry out tubing connections, thereby reducing manual intervention and effectively preventing contamination. The device is centered around the STM32 as its core control chip, featuring a multi-axis control module and motor speed regulation to drive the moving components. Additionally, we have implemented a temperature control module utilizing a fuzzy self-tuning PID control method for more precise temperature regulation of the blades. To enhance user experience, a human-machine interface has been incorporated, supporting functions such as three-level authorization and parameter settings. Following the completion of device assembly, performance testing was conducted, revealing a maximum temperature deviation of 2.3°C. The sealing and sterility criteria are in compliance with the design requirements, demonstrating that the device meets the demands for automated thermal fusion tubing connections in aseptic tubing transfer systems.

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Section: Introductionmentioning

confidence: 99%

Research on key technologies of aseptic tubing transfer system based on STM32

Bao,

2024

Fourth International Conference on Sensors and Information Technology (ICSI 2024)

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“…Even when both renewable energy sources and the load cause disturbances, the proposed controller will make the frequency more stable.A neuro-fuzzy system can use both neural networks and fuzzy systems.So, an ANFIS-based controller will respond to changes in the environment by changing the membership functions of the fuzzy controller. This makes the fuzzy controller more flexible and reliable.The proposed technique (ANFIS) improves the performance of the system by training the settings of the fuzzy logic controller [7].…”

Section: Introductionmentioning

confidence: 99%

Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System’s Load Frequency Regulation

Nireekshana,

Ramachandran,

Narayana

2024

E3S Web Conf.

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The main objective of Load Frequency Control (LFC) is to effectively manage the power output of an electric generator at a designated site, in order to maintain system frequency and tie-line loading within desired limits, in reaction to fluctuations. The adaptive neuro-fuzzy inference system (ANFIS) is a controller that integrates the beneficial features of neural networks and fuzzy networks. The comparative analysis of Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Proportional-Integral-Derivative (PID)-based methodologies demonstrates that the suggested ANFIS controller outperforms both the PID controller and the ANN controller in mitigating power and frequency deviations across many regions of a hybrid power system. Two systems are analysed and represented using mathematical models. The initial system comprises a thermal plant alongside photovoltaic (PV) grid-connected installations equipped with maximum power point trackers (MPPT). The second system comprises hydroelectric systems. The MATLAB/Simulink software is employed to conduct a comparative analysis of the outcomes produced by the controllers.

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Application of inertia emulation control strategy with energy storage system in multi-area hydro -thermal system using a novel metaheuristic optimized tilt controller

Bhagat

Saikia

2023

Electric Power Systems Research

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A novel load frequency control of multi area non-reheated thermal power plant using fuzzy PID cascade controller

Cited by 9 publications

References 17 publications

Research on key technologies of aseptic tubing transfer system based on STM32

Research on key technologies of aseptic tubing transfer system based on STM32

Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System’s Load Frequency Regulation

Application of inertia emulation control strategy with energy storage system in multi-area hydro -thermal system using a novel metaheuristic optimized tilt controller

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