Download or read book Reconstruction and Intelligent Control for Power Plant written by Chen Peng and published by Springer Nature. This book was released on 2022-09-21 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control for power plants, and so on, using historical power plant operation data and creative methods such as reconstruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection, image processing, and control engineering.

Download or read book An Intelligent Control System for a Hybrid Fuel Cell with Gas Turbine Power Plant written by Wenli Yang and published by . This book was released on 2009 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuel cell power plant is a novel, clean and efficient energy source in distributed generation, and received extensive attentions from researchers, developers, and governments in recent decades. As one of the most advanced fuel cell technologies, hybrid fuel cell power plant has shown its potential for applications and is already under commercialization. A hybrid fuel cell with gas turbine power plant was envisioned as a base-load power source for distributed generation. As an emerging technique, the need of advanced control systems, which are essential components that guarantee reliable and efficient operations for the power plant, has motivated this investigation. This dissertation seeks to develop an intelligent control system to improve the energy conversion efficiency and the reliability of the hybrid fuel cell power plant. Toward this goal, an intelligent overall control system is established in the dissertation by developing and integrating a hybrid plant model, an optimal reference governor, and a fault diagnosis and accommodation system in the comprehensive control system. The hybrid plant model provides a novel modeling method that combines a mathematical model and a neural network model, which can identify plant parameters and uncertainties from operational data and can considerably improve the model accuracy for the following and future analysis and research work. The optimal reference governor is achieved by particle swarm optimization algorithms and a neural network state estimator to generate optimal setpoints and feedforward controls to improve plant efficiency. A nonlinear multi-objective optimization framework is developed by integrating heuristic optimization and artificial neural network technologies. Meanwhile, a fault diagnosis and accommodation system is implemented with fuzzy logic to detect and regulate system faults, preventing instabilities and damages to the power plant during system failures. The capability of the fuzzy theory in detecting and regulating system faults is demonstrated. The individual control systems are finally integrated into a comprehensive system that provides overall management for the hybrid power plant. With the integrated control system, the power plant can have high energy conversion efficiency in normal operations and can be well regulated during system failures. As a result, an intelligent autonomous control system is achieved to perform high quality plant-wide control, by which both efficiency and reliability can be guaranteed. Moreover, the presented intelligent control system and its design approach are not only valid for the hybrid fuel cell power plant, but also capable of other types of power plants, where efficiency and reliability need to be improved and guaranteed.

Download or read book Intelligent Control in Power Generation written by Bassel Bashir Copti and published by . This book was released on 1996 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power systems should be maintained at constant frequency and all the interconnected generators must remain in synchronism. Even though there are changes in the flow of power, voltage magnitudes should remain within assigned ranges at different points of the power grid. The major and most important unit in a power system is the generator. Automatic Generation Control (AGC) is the essential function in controlling the power grid. It consists of controlling the generator's terminal voltage, its output power and frequency. To maintain constant terminal voltage, exciter control is needed To maintain frequency and power within acceptable limits turbine-governor control is needed. An additional feedback controller called the Power System Stabilizer is used to control frequency deviation through the exciter. As the load deviates unpredictably from its normal value, automatic control must detect the changes in the system and initiate a counter control. These actions must eliminate instantly and efficiently the induced state deviations and restore the system to its new steady state operating point. Because of the dynamic nature of the power system, fixed-parameter controllers cannot perform well when the operating points deviate enormously from the design operating point. Since the operating point of a power system changes frequently, the settings of the control parameters will have to be updated to adapt with the new environment introduced by these changes. For this reason intelligent control can improve power system performance. In this thesis, we describe two controlling methods to improve the exciter action in response to voltage deviations. Improved intelligent control schemes were delivered and applied to the Power System Stabilizer to improve its behavior under normal conditions and unpredicted circumstances Our proposed control strategies on the Exciter and Power System Stabilizer do not require large and complex calculations nor very small sampling frequencies.

Download or read book Autonomous Nuclear Power Plants with Artificial Intelligence written by Jonghyun Kim and published by Springer Nature. This book was released on 2023-02-20 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces novel approaches and practical examples of autonomous nuclear power plants that minimize operator intervention. Autonomous nuclear power plants with artificial intelligence presents a framework to enable nuclear power plants to autonomously operate and introduces artificial intelligence (AI) techniques to implement its functions. Although nuclear power plants are already highly automated to reduce human errors and guarantee the reliability of system operations, the term “autonomous” is still not popular because AI techniques are regarded as less proven technologies. However, the use of AI techniques and the autonomous operation seems unavoidable because of their great advantages, especially, in advanced reactors and small modular reactors. The book includes the following topics: Monitoring, diagnosis, and prediction. Intelligent control. Operator support systems. Operator-autonomous system interaction. Integration into the autonomous operation system. This book will provides useful information for researchers and students who are interested in applying AI techniques in the fields of nuclear as well as other industries. This book covers broad practical applications of AI techniques from the classical fault diagnosis to more recent autonomous control. In addition, specific techniques and modelling examples are expected to be very informative to the beginners in the AI studies.

Download or read book Intelligent Control in Energy Systems written by Anastasios Dounis and published by MDPI. This book was released on 2019-08-26 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Download or read book Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System written by Dipayan Guha and published by Springer Nature. This book was released on 2022-03-30 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to systematically review and design different intelligent control algorithms for the small-signal stability assessment of HPS. With the growing consciousness of global warming and the fast depletion of natural power generation resources, the existing power system is on the verge of transitions to a “hybrid power system (HPS)” integrated with distributed energy resources. The recent results and requirements for the developments of intelligent control algorithms have motivated the authors to introduce this book for extensively analyzing the performance of HPS against unknown/uncertain disturbances. This book introduces fractional-order resilient control methodologies for arresting small-signal instability of HPS. The prospective investigation has been performed on the MATLAB platform. This book is helpful for undergraduate, postgraduate students, and research scholars working in power system stability, control applications, and soft computing in particular.

Download or read book New Energy Power Generation Automation and Intelligent Technology written by Pengfei Gu and published by Springer. This book was released on 2024-10-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the 1st volume of proceedings of the 1st Smart Nuclear Power Technology Forum and the 8th China Nuclear Power Plant Digital Technology and Application Seminar held in Shenzhen, China in June 2024. This seminar aims to explore the software and hardware of digital and instrument control (I&C) systems in nuclear power plants, such as inspection, testing, certification and research of sensors, actuators and control systems, and the application of electrical and intelligent operation and maintenance technologies. It aims to provide a platform for experts, scholars and nuclear power practitioners to exchange technology and share experience. At the same time, it also provides a platform for the combination of universities and enterprises in the aspects of production, education and research, and promotes the safe development of nuclear power plants. In addition, readers will encounter new ideas to achieve more efficient and safer instruments and control systems.

Download or read book Artificial Intelligence and Social Computing written by Tareq Ahram, Jay Kalra and Waldemar Karwowski and published by AHFE International. This book was released on 2022-07-24 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Social Computing Proceedings of the 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022), July 24–28, 2022, New York, USA

Download or read book Handbook of Artificial Intelligence at Work written by Martha Garcia-Murillo and published by Edward Elgar Publishing. This book was released on 2024-02-12 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advancement in processing power and storage now enabling algorithms to expand their capabilities beyond their initial narrow applications, technology is becoming increasingly powerful. This highly topical Handbook provides a comprehensive overview of the impact of Artificial Intelligence (AI) on work, assessing its impact on an array of economic sectors, their resulting nature of work, and the subsequent policy implications of these changes.

Download or read book Combustion Optimization Based on Computational Intelligence written by Hao Zhou and published by Springer. This book was released on 2018-02-02 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book offers a unique guide for researchers in the areas of combustion optimization, NOx emission control, energy and power engineering, and chemical engineering.

Download or read book Advances in Artificial Intelligence Software and Systems Engineering written by Tareq Z. Ahram and published by Springer Nature. This book was released on 2021-07-07 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses emerging issues concerning the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, and highlights ways to improve the acceptance, effectiveness, and efficiency of said technologies. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. Further, it covers some cutting-edge issues in energy, including intelligent control systems for power plant, and technology acceptance models. Based on the AHFE 2021 Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, held virtually on 25–29 July, 2021, from USA, this book provides readers with extensive information on current research and future challenges in these fields, together with practical insights into the development of innovative services for various purposes.

Download or read book New Energy Power Generation Automation and Intelligent Technology written by Pengfei Gu and published by Springer. This book was released on 2024-10-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the 2nd volume of proceedings of the 1st Smart Nuclear Power Technology Forum and the 8th China Nuclear Power Plant Digital Technology and Application Seminar held in Shenzhen, China in June 2024. This seminar aims to explore the software and hardware of digital and instrument control (I&C) systems in nuclear power plants, such as inspection, testing, certification and research of sensors, actuators and control systems, and the application of electrical and intelligent operation and maintenance technologies. It aims to provide a platform for experts, scholars and nuclear power practitioners to exchange technology and share experience. At the same time, it also provides a platform for the combination of universities and enterprises in the aspects of production, education and research, and promotes the safe development of nuclear power plants. In addition, readers will encounter new ideas to achieve more efficient and safer instruments and control systems.

Download or read book Power Systems Modelling and Control Applications written by A. J. Calvaer and published by Elsevier. This book was released on 2014-05-23 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The control of power systems and power plants is a subject of worldwide interest which continues to sustain a high level of research, development and application. Papers pertaining to areas directly related to power systems and representing the state-of-the-art methods are included in this volume. The topics covered include security analysis, dynamic state estimation, voltage control, power plant control, stability analysis, data communication, expert systems and training simulators for power plants. This interchange between those involved in the research and those involved in the practical applications of new ideas and developments provide a comprehensive reference source for all involved in the power industry.

Download or read book Handbook of Research on Advanced Intelligent Control Engineering and Automation written by Azar, Ahmad Taher and published by IGI Global. This book was released on 2014-11-30 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: In industrial engineering and manufacturing, control of individual processes and systems is crucial to developing a quality final product. Rapid developments in technology are pioneering new techniques of research in control and automation with multi-disciplinary applications in electrical, electronic, chemical, mechanical, aerospace, and instrumentation engineering. The Handbook of Research on Advanced Intelligent Control Engineering and Automation presents the latest research into intelligent control technologies with the goal of advancing knowledge and applications in various domains. This text will serve as a reference book for scientists, engineers, and researchers, as it features many applications of new computational and mathematical tools for solving complicated problems of mathematical modeling, simulation, and control.

Download or read book Intelligent Fault Diagnosis and Accommodation Control written by Sunan Huang and published by CRC Press. This book was released on 2020-03-17 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control systems include many components, such as transducers, sensors, actuators and mechanical parts. These components are required to be operated under some specific conditions. However, due to prolonged operations or harsh operating environment, the properties of these devices may degrade to an unacceptable level, causing more regular fault occurrences. It is therefore necessary to diagnose faults and provide the fault-accommodation control which compensates for the fault of the component by substituting a configuration of redundant elements so that the system continues to operate satisfactorily. In this book, we present a result of several years of work in the area of fault diagnosis and fault-accommodation control. It aims at information estimate methods when faults occur. The book uses the model built from the plant or process, to detect and isolate failures, in contrast to traditional hardware or statistical technologies dealing with failures. It presents model-based learning and design technologies for fault detection, isolation and identification as well as fault-tolerant control. These models are also used to analyse the fault detectability and isolability conditions and discuss the stability of the closed-loop system. It is intended to report new technologies in the area of fault diagnosis, covering fault analysis and control strategies of design for various applications. The book addresses four main schemes: modelling of actuator or sensor faults; fault detection and isolation; fault identification, and fault reconfiguration (accommodation) control. It also covers application issues in the monitoring control of actuators, providing several interesting case studies for more application-oriented readers.

Download or read book Intelligent Control Robotics and Industrial Automation written by Sanjay Sharma and published by Springer Nature. This book was released on 2023-12-19 with total page 1039 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises peer-reviewed proceedings of the International Conference on Robotics, Control, Automation, and Artificial Intelligence (RCAAI 2022). It aims to provide a broad spectrum picture of the state of art research and development in the areas of intelligent control, the Internet of Things, machine vision, cybersecurity, robotics, circuits, and sensors, among others. This volume will provide a valuable resource for those in academia and industry.

Download or read book Innovations and artificial intelligence along the energy industry value chain taking into account data security and data protection written by Heinz-Adalbert Krebs and published by BoD – Books on Demand. This book was released on 2022-01-01 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt: The energy industry worldwide is facing one of the most profound changes in its history, which will be accompanied by breakthrough innovations and the exponentially evolving use of artificial intelligence in business processes. In addition to the use of artificial intelligence and AI-supported unmanned systems (on land, at sea and in the air), distributed-ledger-technologies, extended reality and 3D-print based on cyber-physical systems and the Internet of Things, as well as process mining, robotic process automation, data science and cloud computing, for example, will not only decisively shape a sustainable energy supply system in the future, but also accelerate the transformation to energy industry 4.0. At the same time, the increasingly strong networking (smart grid, smart meter, smart home, smart city) of the energy industry and its environment is associated with a growing risk potential, which must be expanded in the future as part of a high-quality cyber resilience, in particular through the use of artificial intelligence. Without the development and use of innovations and artificial intelligence in the context of increasingly digitized business processes, there is a risk that neither the energy transition can be successfully implemented nor climate change combated. In addition to the fundamentals of the classic, primarily analog energy industry, the publication addresses the possible paradigm shift that will be characterized by innovations, disruptive technologies and digital business models in the energy industry.