4 edition of Fuzzy logic techniques in power systems found in the catalog.
Includes bibliographical references.
|Statement||Wladyslaw Mielczarski, ed.|
|Series||Studies in fuzziness and soft computing ;, [vol. 11]|
|Contributions||Mielczarski, Wladyslaw, 1947-|
|LC Classifications||TK1010 .F89 1998|
|The Physical Object|
|Pagination||x, 456 p. :|
|Number of Pages||456|
|LC Control Number||97042010|
This book discusses control and optimization techniques in the broadest sense, covering new theoretical results and the applications of newly developed methods for PV systems. Going beyond classical control techniques, it promotes the use of more efficient control and optimization strategies based on linearized models and purely continuous (or. The capability of Fuzzy Logic in the development of emerging technologies is introduced in this book. The book consists of sixteen chapters showing various applications in the field of Bioinformatics, Health, Security, Communications, Transportations, Financial Management, Energy and Environment by: 9.
Cavati CR, Ekel PY () A fuzzy decision making for the distribution systems planning,” Power system technology. In: Proceedings POWERCON ‘ international conference on, vol. 1, pp , , 18–21 Aug Google Scholar. Dr. Cirstea teaches a range of modules on advanced digital electronicsand EDA/CAD. His research focuses on electronic control of power systems and onal interests are in ASIC/FPGA design and implementation, vehicle electronics,concurrent engineering, neural networks and fuzzy logic.
More robust controllers such as the one based on fuzzy logic approach are required for the DSTATCOM to provide adequate dynamic voltage control and to improve power quality and stability of the distribution power system. This paper presents the design of a fuzzy logic based controller of a 3MVA DSTATCOM for improving the power quality and. The fuzzy logic energy management is developed with the aim of splitting the renewable energy power to be either stored into the battery or transformed into thermal energy, with a multiplication factor by a heat pump.
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Fuzzy logic techniques in power systems. Heidelberg: Physica-Verlag, © (OCoLC) Online version: Fuzzy logic techniques in power systems. Heidelberg: Physica-Verlag, © (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Wladyslaw Mielczarski.
Tutorial on Fuzzy Logic Applications in Power Systems. Book January CHAPTER 7 OPTIMIZ ATION TECHNIQUES II. This book introduces power system engineers and managers, researchers, undergraduate and postgraduate students to fuzzy logic techniques by offering new solution for practical power system problems.
It also aims at the fuzzy logic and computer societies presenting their members a new, attractive, field fuzzy logic application and computation. The book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems.
It provides a comprehensive overview of fuzzy logic concepts and. The AI techniques are generally classified as expert systems (ES), fuzzy logic (FL) and artificial neural networks (ANN). The classical expert systems are based on Boolean algebra and use precise calculations while fuzzy logic systems involve calculations based on.
Fuzzy logic based MPPT can handle non-linearity and uncertainty associated with PV systems. Fuzzy logic based MPPT has several advantages like they do not require pre-knowledge of the exact model of the PV panel and provide better performance.
This paper explores ways of improving maximum power point tracking using fuzzy logic. Maximum power point tracking (MPPT) is used extract maximum power from the solar panel, high-performance soft computing techniques can be used as a maximum power point tracking techniques.
This paper proposes fuzzy logic controller (FLC) based MPPT method for the PV system under constant and varying climatic conditions. In this Fuzzy Logic Tutorial, we will learn What is Fuzzy Logic Systems in Artificial Intelligence. Moreover, we will discuss the Application and Architecture of Fuzzy Logic in AI.
Along with this, we will learn why Fuzzy logic is used and what are its pros and cons. So, let’s start our journey of Fuzzy Logic System in AI. Fuzzy logic control (FLC) techniques usually decompose a complex system into several subsystems according to the human experts’ knowledge about the system.
Meanwhile, a set of simple and straightforward control laws are used to emulate the human control strategy in each local operating region [6∼8]. Probability of a Fuzzy Event as a Fuzzy Set Possibility vs.
Probability Part II: Applications of Fuzzy Set Theory 9 Fuzzy Logic and Approximate Reasoning Linguistic Variables Fuzzy Logic Classical Logics Revisited Linguistic Truth Tables Approximate and Plausible Reasoning 9.
The fuzzy logic with SMES application is utilized to control the frequency damping of two-area power systems which are interconnected [ 37 ]. The frequency oscillations in the system occur due to disturbances. The frequency oscillations of the system can be stabilized.
The active power via SMES can be controlled. Fuzzy Logic Systems Fuzzy Logic Techniques and Algorithms Fuzzy Mathematics Extensions of fuzzy sets: intuitionistics fuzzy sets, hesitant fuzzy sets, neutrosophic sets, spherical fuzzy sets. He became the guest editors of many international journals and the editor of many international books from Springer and Atlantis Press.
He is the. This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems.
In this chapter, fundamentals of fuzzy logic and an overview of its applications in power systems are presented first. Then hybrid techniques are discussed in detail.
Inspec keywords: fuzzy control; fuzzy set theory; fuzzy systems; power systems; expert systems; power engineering computing. Other keywords: power systems; fuzzy logic; hybrid system. In fuzzy mathematics, fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1 both inclusive.
It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer. A fuzzy control system is a control system based on fuzzy logic—a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic, which operates on discrete values of either 1 or 0 (true or false, respectively).
The classical control techniques introduced in this book include PID, pole placement, observer-based state feedback, static and dynamic output feedback controllers while the intelligent control techniques explained here are of adaptive fuzzy control types. This book will analyze and design different decentralized LF controllers in order to.
Modern electrical power systems are facing complex challenges, arising from distributed generation and intermittent renewable energy. Fuzzy logic is one approach to meeting this challenge and providing reliability and power quality. The book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems.
The book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems.
This book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems.
The book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems.Fuzzy Logic Control in Energy Systems was written for researchers and practicing engineers in energy engineering and control as well as advanced students involved with power system research and operation.
This book is about fuzzy logic control and its applications in managing, controlling, and operating electrical energy systems. It provides a comprehensive overview of the fuzzy logic .Abstract: This chapter overviews the applications of fuzzy logic in power systems.
Emphasis is placed on understanding the types of uncertainties in power system problems that are well-represented by fuzzy methods. Specific examples in the areas of diagnostics and controls are used to illustrate such concepts.