Fuzzy logic controller-based synchronverter in grid-connected solar power system with adaptive damping factor

Yap, Kah Yung; Beh, Chee Ming; Sarimuthu, Charles R.

doi:10.23919/cjee.2021.000014

Cited by 26 publications

(9 citation statements)

References 30 publications

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“…Fuzzy logic is classi ed into two types: Mamdani and Sugeno. The Mamdani FL with fundamental "ifthen" relations was applied in this study's FL design [19]. A fuzzy method is proposed to provide an adaptive reference for the OLTC controller so that the OLTC, which feeds different feeders, can control the voltage by changing the tap position.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Fuzzy Logic-Based AVC Relay with Jaya Algorithm for Voltage Control of Distribution Network

abdelfatah¹,

Sarimuthu²

2023

Preprint

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One of the important requirements in the electrical power system is to control the voltage levels at both the distribution and transmission levels to avoid overvoltage or undervoltage conditions. Transformers with mechanical on-load tap changer (OLTC) and switches have been considered the conventional voltage-control method in electrical power systems for decades. Due to the mechanical design of the OLTC, it has several disadvantages, such as poor response time, high loss rates, high maintenance cost, and the demand for frequent repair of mechanical parts. Controlling the voltage with frequent changes in tap position causes wear and tear in the transformer over time. Old systems use fuzzy logic to control the OLTC tap position without finding the optimal tap or minimizing the number of tap changes. This paper attempts to develop automatic voltage control (AVC) Relay based on Fuzzy Logic and Jaya Algorithm to minimize the number of tap change operations. The design structure of the system is presented, and the results that show its performance with and without the Jaya algorithm are also presented and discussed.

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Section: Fuzzy Logicmentioning

confidence: 99%

Fuzzy Logic-Based AVC Relay with Jaya Algorithm for Voltage Control of Distribution Network

abdelfatah¹,

Sarimuthu²

2023

Preprint

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“…Analysis of the Successful Examples of Implementation of the Intelligent Control and Decision Support Systems for Automation of Complex Dynamic Processes. In the scientific literature now, there are many examples of the development, adjustment and successful application of intelligent systems and control devices at different hierarchical levels of control (higher, strategic, tactical and executive) for the automation of various types of complex dynamic processes and objects (Bora, 2020, Yap, 2021, Meng, 2014. For example, in papers (Bora, 2020) and (Yap, 2021) controllers based on fuzzy logic were developed and investigated for controlling electric power systems of wind and solar power plants, respectively.…”

Section: Fig 2 Hierarchical Levels Of Control Of Complex Dynamic Proc...mentioning

confidence: 99%

Contemporary Technologies and Society: Innovations, Artificial Intelligence, and Challenges

2023

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The collective monograph elucidates the trends in the formation and development of the digital society in the 21st century, and the role of information and communication technologies therein. Presently, information and innovative technologies are shaping more efficient management mechanisms, expanding access to healthcare, education, science, culture, and banking, enhancing the quality of public services, and broadening communication and information access capabilities.The research findings presented in the monograph underscore the significance and necessity of digital technologies for the welfare of the population and economic development. Today, information and innovative technologies are integrated into business processes across virtually all spheres of activity, as they enhance decision-making efficiency. Information technologies enable any activity to be conducted online, facilitating solutions to social issues by easing access to education through remote learning, local government services through e-governance, electronic registration systems, medical services via digital health systems, and the provision of electronic financial and banking services.The first chapter of the monograph analyses the current state and prospects of using information and innovative technologies in education, presents research results on the application of artificial intelligence, machine learning, nanotechnologies, and virtual reality in higher education training. It also highlights the nuances of developing digital competencies among schoolchildren and students.The second chapter is dedicated to the application of information and innovative technologies in economics and management, examining their impact on the economy of the information society. The digital economy is grounded on information and communication technologies that facilitate ecommerce through the operation of electronic digital devices, tools, and automated systems.The third chapter contemplates the theoretical concepts of employing information and innovative technologies in society at large, considering their influence in fields such as ecology, social issues, psychology, and professional adaptation to digital existence.The fourth chapter is devoted to the utilization of artificial intelligence, studying its societal impact and evaluating potential opportunities and risks. Particular attention is given to the status and prospects of artificial intelligence in education, manufacturing, medical fields, and the development of communicative competencies.The fifth chapter of the monograph focuses on contemporary technologies in physical education, sports, and physical rehabilitation, which are paramount in the context of ensuring effective approaches to physical development, rehabilitation, and fostering a healthy lifestyle approach.

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“…The conventional PI controller is the most desirable in the PV gridconnected systems since it is simple in design, regulates DC quantities and improves system performance [16]. However, it includes a non-zero steady-state error, performance deterioration during load changes, and difficulty in determining appropriate controller values due to non-linearity and changing operating conditions [17,18]. To address these issues, Artificial Intelligence (AI) techniques such as FLC or Neural Networks (NN) are used to control the switching operation of the converter.…”

Section: Introductionmentioning

confidence: 99%

DC Link Voltage Enhancement in DC Microgrid Using PV Based High Gain Converter with Cascaded Fuzzy Logic Controller

et al. 2023

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Renewable-based sources can be interconnected through power electronic converters and connected with local loads and energy storage devices to form a microgrid. Nowadays, DC microgrids are gaining more popularity due to their higher efficiency and reliability as compared to AC microgrid systems. The DC Microgrid has power electronics converters between the DC loads and renewable-based energy sources. The power converters controlled with an efficient control algorithm for maintaining stable DC bus voltage in DC microgrids under various operating modes is a challenging task for researchers. With an aim to address the above-mentioned issues, this study focuses on the DC link voltage enhancement of a DC Microgrid system consisting of PV, DFIG-based wind energy conversion system (WECS), and battery Energy Storage System (ESS). To elevate PV output voltage and minimize the oscillations in DC link voltage, a high-gain Luo converter with Cascaded Fuzzy Logic Controller (CFLC) is proposed. Droop control with virtual inertia and damping control is proposed for DFIG-based WECS to provide inertia support. Artificial Neural Network (ANN) based droop control is utilised to regulate the ESS’s State of Charge (SOC). The effectiveness of the proposed converter and its control algorithms for maintaining stable DC bus link voltage has been analysed using MATLAB/Simulink and experimentally validated using a prototype model and FPGA Spartan 6E controllers.

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Fuzzy logic controller-based synchronverter in grid-connected solar power system with adaptive damping factor

Cited by 26 publications

References 30 publications

Fuzzy Logic-Based AVC Relay with Jaya Algorithm for Voltage Control of Distribution Network

Fuzzy Logic-Based AVC Relay with Jaya Algorithm for Voltage Control of Distribution Network

Contemporary Technologies and Society: Innovations, Artificial Intelligence, and Challenges

DC Link Voltage Enhancement in DC Microgrid Using PV Based High Gain Converter with Cascaded Fuzzy Logic Controller

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