Fuzzy Controllers

Trying to meet the requirements in the field, present book treats different fuzzy control architectures both in terms of the theoretical design and in terms of comparative validation studies in various applications, numerically simulated or experimentally developed. Through the subject matter and through the inter and multidisciplinary content, this book is addressed mainly to the researchers, doctoral students and students interested in developing new applications of intelligent control, but also to the people who want to become familiar with the control concepts based on fuzzy techniques. Bibliographic resources used to perform the work includes books and articles of present interest in the field, published in prestigious journals and publishing houses, and websites dedicated to various applications of fuzzy control. Its structure and the presented studies include the book in the category of those who make a direct connection between theoretical developments and practical applications, thereby constituting a real support for the specialists in artificial intelligence, modelling and control fields

Integration of distributed generation along with energy storage system to reduce the high penetration impacts of renewable energy sources into the power grid.

Compte tenu du comportement aléatoire et fluctuant des sources d'énergie renouvelable (SER), l'équilibre entre la génération et la demande ne sont pas faciles à contrôler. Par conséquent, la stabilité dynamique du flux d'énergie et le contrôle de la fréquence deviennent de plus en plus difficiles en raison des impacts de la pénétration élevée des SER dans les micro-réseau électrique. Des stratégies de contrôle des convertisseurs/onduleurs avec filtre sont nécessaires pour maintenir l'alimentation électrique appropriée dans l'ensemble du micro-réseau. L'objectif de notre travail est d'explorer les aspects critiques de la génération distribuée (GD), de l'intégration des énergies renouvelables et des systèmes de stockage de l'énergie, en mettant l'accent sur l'amélioration de l'efficacité du réseau électrique tout en minimisant la pollution atmosphérique. Cette thèse reconnaît les avantages environnementaux et économiques de la GD tout en soulignant les défis inhérents à la gestion des sources d'énergie renouvelable fluctuantes. Un algorithme de contrôle pour un système de stockage d'énergie hybride diesel-éolien à forte pénétration est conçu pour maintenir la stabilité dynamique du flux d'énergie et le contrôle de la fréquence du réseau. Les principaux résultats comprennent la réduction efficace du temps de transition dans le flux d'énergie éolienne et des fluctuations de fréquence. D'autre part, cette étude répond aux défis posés par la nature intermittente des SER et leur impact sur la stabilité dynamique et le contrôle de la fréquence. Nous avons introduit un algorithme de contrôle utilisant la logique floue pour un système de stockage d'énergie éolienne en utilisant la méthode de partage de puissance. En comparant cette approche au contrôleur conventionnel, l'algorithme proposé a démontré des améliorations substantielles dans la réduction du temps de transition dans le flux d'énergie éolienne et des fluctuations de fréquence. Dans le cadre de cette thèse, une étude complète de divers convertisseurs statiques est réalisée afin de déterminer le dispositif de stockage d'énergie le plus approprié pour les applications de réseaux intelligents. Ce système de stockage joue un rôle essentiel dans le maintien de la stabilité du réseau tout en minimisant les pertes d'énergie. L'objectif est d'identifier le dispositif de stockage d'énergie le plus adapté à cette application. Les avantages de cette technologie sont d'une grande efficacité et fiabilité, qui peuvent connecter diverses sources d'énergie et réduire les pertes de conduction dans les convertisseurs de puissance. On a analysé l'efficacité et la fiabilité de différents convertisseurs et évalué leur performance dans des conditions de charge et de décharge du système de stockage. Les plages de fonctionnement des convertisseurs élévateur-abaisseur, abaisseur-élévateur et abaisseur-élévateur (-Vout) ont été analysées pour optimiser le système de stockage d'énergie. Cette thèse présente également une analyse complète d'un schéma de simulation qui exploite un système solaire composé de panneaux photovoltaïques intégrés au réseau électrique, à diverses charges, et à un dispositif de stockage d'énergie. Après la modélisation des panneaux photovoltaïques et de leurs caractéristiques opérationnelles, un filtre adaptatif est développé pour atténuer les fluctuations du courant d'entrée. On a exploré en outre l'efficacité et les mécanismes de contrôle des convertisseurs de puissance et des onduleurs, facilitant ainsi l'intégration du système de stockage d'énergie avec le réseau électrique. Plusieurs techniques de contrôle non linéaires sont utilisées pour évaluer les performances du système avec différentes configurations, y compris un onduleur simple, un filtre multi-variable, un filtre passe bande et une configuration sans filtre. Cette recherche nous a permis de proposer une régulation efficace du bus DC au sein du réseau électrique. L'avantage clé de ces régulateurs non linéaires est leur capacité à compenser la puissance réactive et les courants harmoniques, ce qui se traduit par un réseau électrique sans perturbations et une réduction du taux de distorsion harmonique totale (DHT) des onduleurs, améliorant finalement l'efficacité globale du réseau électrique. Cette thèse apporte des connaissances précieuses pour optimiser les performances des systèmes éoliens et solaires ainsi que du dispositif de stockage d'énergie, et leur intégration au réseau grâce à des techniques de contrôle et de filtrage avancées, avec des implications significatives pour l'amélioration de la stabilité et de la fiabilité des sources d'énergie renouvelable dans le réseau électrique. Abstract Being the fluctuation behavior of Renewable Energy Sources (RESs), generation, balance, and demand are not easy tasks to control because it is not desirable to have constant power generation from RESs due to natural prospects. As a result, the dynamic stability of power flow and control of frequency is becoming more challenging due to the high penetration impacts of RESs. Control strategies of converter/inverter with filter are also required to maintain the proper power supply in the entire microgrid where energy storage device plays crucial roles. The objective of this study is to explore critical aspects of distributed generation (DG), renewable energy integration, and energy storage systems, focusing on enhancing power network efficiency while minimizing power losses and environmental air pollution. This doctoral thesis acknowledges the environmental and economic benefits of distributed generation (DG) while highlighting the inherent challenges in managing fluctuating renewable energy sources (RESs). A control algorithm for a high-penetration hybrid diesel-wind-based energy storage system is designed to maintain dynamic stability in power flow and control network frequency. The key findings include the effective reduction of transient time in wind power flow and frequency fluctuations through the use of an integral-derivative (I-D) controller. On the other hand, it recognizes the challenges posed by the intermittent nature of renewable energy sources (RESs) and their impact on dynamic stability and frequency control. This thesis introduced a control algorithm employed with a Fuzzy Logic (FL) controller for a wind-based energy storage system using the power-sharing method. By comparing this approach to the traditional Proportional Integral Derivative (PID) controller, the study demonstrated substantial improvements in reducing transient time in wind power flow and frequency fluctuations. A storage system (battery) plays a crucial role in maintaining network stability while minimizing energy losses. As a part of this thesis, a comprehensive survey of various DC-DC converters is done to determine the most suitable energy storage device for smart grid applications. The main objective is to identify this application's most appropriate energy storage device. The advantages of this technology are high efficiency and reliability, which can connect various energy sources and reduce conduction losses in the power converters. The study analyzed the efficiency and reliability of different converters and evaluated their performance in charging and discharging conditions of a battery. The operating ranges of boost-buck, buck-boost, and buck-boost (-Vout) converters are analyzed to optimize the energy storage system. This doctoral thesis also presents a comprehensive analysis of a simulation scheme that leverages a solar system composed of photovoltaic (PV) panels integrated with the electrical grid, various loads, and an energy storage device. The research begins by investigating the modeling of PV panel cells and their operational characteristics. Subsequently, an adaptive notch filter synthesis is developed to mitigate input current fluctuations. The research further explores the efficiency and control mechanisms of power converters and inverters, facilitating the seamless integration of the energy storage system with the electrical grid. Multiple simulations are conducted, employing nonlinear control techniques to evaluate the performance of the system with different configurations, including a simple inverter, a multi-variable filter, a notch filter, and a filter-less setup. The research aims to achieve effective regulation of the DC bus within the proposed grid. The key advantage of these nonlinear controllers is their ability to compensate for reactive power and harmonic currents, resulting in a disturbance-free power network and a reduction in the Total Harmonic Distortion (THD) rate of the inverters, ultimately enhancing the overall efficiency of the power grid. This thesis contributes valuable insights into optimizing the performance of wind and solar systems along with energy storage device and their integration with the grid through advanced control and filtering techniques, with significant implications for improving the stability and reliability of renewable energy sources in the power grid

Enhancing the performance of flexible AC transmission systems (FACTS) by computational intelligence

The thesis studies and analyzes UPFC technology concerns the management of active and reactive power in the power networks to improve the performance aiming to reach the best operation criteria. The contributions of the thesis start with formatting, deriving, coding and programming the network equations required to link UPFC steady-state and dynamic models to the power systems. The thesis derives GA applications on UPFC to achieve real criteria on a real world sub-transmission network. An enhanced GA technique is proposed by enhancing and updating the working phases of the GA including the objective function formulation and computing the fitness using the diversity in the population and selection probability. The simulations and results show the advantages of using the proposed technique. Integrating the results by linking the case studies of the steady-state and the dynamic analysis is achieved. In the dynamic analysis section, a new idea for integrating the GA with ANFIS to be applied on the control action procedure is presented. The main subject of the thesis deals with enhancing the steady-state and dynamics performance of the power grids by Flexible AC Transmission System (FACTS) based on computational intelligence. Control of the electric power system can be achieved by designing the FACTS controller, where the new trends as Artificial Intelligence can be applied to this subject to enhance the characteristics of controller performance. The proposed technique will be applied to solve real problems in a Finnish power grid. The thesis seeks to deal, solve, and enhance performances until the year 2020, where the data used is until the conditions of year 2020. The FACTS device, which will be used in the thesis, is the most promising one, which known as the Unified Power Flow Controller (UPFC). The thesis achieves the optimization of the type, the location and the size of the power and control elements for UPFC to optimize the system performance. The thesis derives the criteria to install the UPFC in an optimal location with optimal parameters and then designs an AI based damping controller for enhancing power system dynamic performance. In this thesis, for every operating point GA is used to search for controllers' parameters, parameters found at certain operating point are different from those found at others. ANFISs are required in this case to recognize the appropriate parameters for each operating point

Efficiency and Sustainability of the Distributed Renewable Hybrid Power Systems Based on the Energy Internet, Blockchain Technology and Smart Contracts-Volume II

The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems, and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications, such as hybrid and microgrid power systems based on the Energy Internet, Blockchain technology, and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above

The 1st International Conference on Computational Engineering and Intelligent Systems

Computational engineering, artificial intelligence and smart systems constitute a hot multidisciplinary topic contrasting computer science, engineering and applied mathematics that created a variety of fascinating intelligent systems. Computational engineering encloses fundamental engineering and science blended with the advanced knowledge of mathematics, algorithms and computer languages. It is concerned with the modeling and simulation of complex systems and data processing methods. Computing and artificial intelligence lead to smart systems that are advanced machines designed to fulfill certain specifications. This proceedings book is a collection of papers presented at the first International Conference on Computational Engineering and Intelligent Systems (ICCEIS2021), held online in the period December 10-12, 2021. The collection offers a wide scope of engineering topics, including smart grids, intelligent control, artificial intelligence, optimization, microelectronics and telecommunication systems. The contributions included in this book are of high quality, present details concerning the topics in a succinct way, and can be used as excellent reference and support for readers regarding the field of computational engineering, artificial intelligence and smart system

Modeling and Simulation in Engineering

The Special Issue Modeling and Simulation in Engineering, belonging to the section Engineering Mathematics of the Journal Mathematics, publishes original research papers dealing with advanced simulation and modeling techniques. The present book, “Modeling and Simulation in Engineering I, 2022”, contains 14 papers accepted after peer review by recognized specialists in the field. The papers address different topics occurring in engineering, such as ferrofluid transport in magnetic fields, non-fractal signal analysis, fractional derivatives, applications of swarm algorithms and evolutionary algorithms (genetic algorithms), inverse methods for inverse problems, numerical analysis of heat and mass transfer, numerical solutions for fractional differential equations, Kriging modelling, theory of the modelling methodology, and artificial neural networks for fault diagnosis in electric circuits. It is hoped that the papers selected for this issue will attract a significant audience in the scientific community and will further stimulate research involving modelling and simulation in mathematical physics and in engineering

Advanced Modeling, Control, and Optimization Methods in Power Hybrid Systems - 2021

The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications such as hybrid and microgrid power systems based on the Energy Internet, blockchain technology and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above

Large space structures and systems in the space station era: A bibliography with indexes

Bibliographies and abstracts are listed for 1219 reports, articles, and other documents introduced into the NASA scientific and technical information system between July 1, 1990 and December 31, 1990. The purpose is to provide helpful information to the researcher, manager, and designer in technology development and mission design according to system, interactive analysis and design, structural and thermal analysis and design, structural concepts and control systems, electronics, advanced materials, assembly concepts, propulsion, and solar power satellite systems

Modern maliyet muhasebesinde bulanık mantık yaklaşımı : bir hastane uygulaması

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Global rekabet ortamında işletmelerin başarılı olabilmesi ve faaliyetlerini sürdürmesi etkin bir maliyet planlaması ve kontrolüne bağlıdır. İşletmeler için asıl amaç kâr oldu-ğunda üretilen mal ve hizmetlerin doğru ve güvenilir maliyetlendirmesi önemlilik arz etmektedir. Üretilen mal ve hizmetler için katlanılan bazı maliyetleri önceden kestirmek güç ol-makla beraber işletmeler bu belirsiz şartlarda karar vermek zorunda kalmaktadır. Re-kabet ortamında işletmeler varlıklarını sürdürmek için doğru ve güvenilir maliyet tah-minlemesine ihtiyaç duymaktadır. Çalışmamızda işletmelerin değişken yapıya sahip maliyet kalemleri belirsizlik şartla-rında bilgisayar destekli programlar yardımı (bulanık mantık) ile yaklaşık olarak tah-min edilmiş doğru ve güvenilir maliyetlendirme sistemi olan FTM yöntemi kullanıla-rak yapılan hizmetlerin maliyetleri tahmini olarak hesaplanmıştır. Çalışmada ayrıca yi-ne belirsizlik şartlarında işletmelerin kârlık analizleri için bulanık mantığa dayalı bir kuram geliştirilmiştir. Anahtar Kelimeler: FTM, Maliyet ve Kâr Tahminlemesi, Bulanık Mantık KuramıTo be successful in business and to continue its activities in a global competitive envi-ronment, it depends on an efficient cost planning and control. When profit is the main objective, an accurate and reliable costing of goods and services produced is at most significant. It is difficult to predict costs incurred on products and service for businesses that are forced to decide in these uncertain conditions. Businesses require accurate and reliable cost estimation in order to maintain their existence in a competitive environment. In our study, businesses that have a variant structure with uncertain item costs, cost of service estimations were calculated by using the accurate and reliable FTM method with the aid of a computer program (Fuzzy Logic). The study also and again developed a theory based on fuzzy logic to analyze the profitability of the business in terms of uncer-tainty. Key Words: ABC, Cost and Profit Prediction, Fuzzy Logi

Fuelling the zero-emissions road freight of the future: routing of mobile fuellers

The future of zero-emissions road freight is closely tied to the sufficient availability of new and clean fuel options such as electricity and Hydrogen. In goods distribution using Electric Commercial Vehicles (ECVs) and Hydrogen Fuel Cell Vehicles (HFCVs) a major challenge in the transition period would pertain to their limited autonomy and scarce and unevenly distributed refuelling stations. One viable solution to facilitate and speed up the adoption of ECVs/HFCVs by logistics, however, is to get the fuel to the point where it is needed (instead of diverting the route of delivery vehicles to refuelling stations) using "Mobile Fuellers (MFs)". These are mobile battery swapping/recharging vans or mobile Hydrogen fuellers that can travel to a running ECV/HFCV to provide the fuel they require to complete their delivery routes at a rendezvous time and space. In this presentation, new vehicle routing models will be presented for a third party company that provides MF services. In the proposed problem variant, the MF provider company receives routing plans of multiple customer companies and has to design routes for a fleet of capacitated MFs that have to synchronise their routes with the running vehicles to deliver the required amount of fuel on-the-fly. This presentation will discuss and compare several mathematical models based on different business models and collaborative logistics scenarios