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Book Optimal Control of Hybrid Systems and Renewable Energies

Download or read book Optimal Control of Hybrid Systems and Renewable Energies written by Michela Robba and published by . This book was released on 2020-09-15 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers covering various aspects of the optimal control of power and energy production from renewable resources (wind, PV, biomass, hydrogen, etc.). In particular, attention is focused both on the optimal control of new technologies and on their integration in buildings, microgrids, and energy markets. The examples presented in this book are among the most promising technologies for satisfying an increasing share of thermal and electrical demands with renewable sources: from solar cooling plants to offshore wind generation; hybrid plants, combining traditional and renewable sources, are also considered, as well as traditional and innovative storage systems. Innovative solutions for transportation systems are also explored for both railway infrastructures and advanced light rail vehicles. The optimization and control of new solutions for the power network are addressed in detail: specifically, special attention is paid to microgrids as new paradigms for distribution networks, but also in other applications (e.g., shipboards). Finally, optimization and simulation models within SCADA and energy management systems are considered. This book is intended for engineers, researchers, and practitioners that work in the field of energy, smart grid, renewable resources, and their optimization and control.

Book Cooperative Optimal Control of Hybrid Energy Systems

Download or read book Cooperative Optimal Control of Hybrid Energy Systems written by Dong Yue and published by Springer Nature. This book was released on 2021-02-15 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book mainly investigates the cooperative optimal control of hybrid energy system, it presents security control, multi-objective optimization, distributed optimization and distributed control approaches for tackling with security, economic and stability problem of the hybrid energy system. It aims to solve some challenging problems including security issue, economic cost or benefits from both power generation side and load demand side, and coordination among different power generators. The methods proposed in this book is novel and attractive, it consists of the hierarchical optimal control strategy for the security issue, multi-objective optimization for both economic and emission issue, and distributed optimal control for coordination among power generators. Readers can learn novel methods or technique for tackling with the security issue, multiple-objective problem, and distributed coordination problem. It also may inspire readers to improve some drawbacks of existing alternatives. Some fundamental knowledge prepared to read this book includes basic principles of the multi-agents system, robust optimization, Pareto-dominance optimization, and background of electrical engineering and renewable energy.

Book Modeling  Optimization and Intelligent Control Techniques in Renewable Energy Systems

Download or read book Modeling Optimization and Intelligent Control Techniques in Renewable Energy Systems written by Moussa Labbadi and published by Springer Nature. This book was released on 2022-04-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.

Book Optimal Control of Hybrid Vehicles

Download or read book Optimal Control of Hybrid Vehicles written by Bram de Jager and published by Springer Science & Business Media. This book was released on 2013-04-05 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Control of Hybrid Vehicles provides a description of power train control for hybrid vehicles. The background, environmental motivation and control challenges associated with hybrid vehicles are introduced. The text includes mathematical models for all relevant components in the hybrid power train. The power split problem in hybrid power trains is formally described and several numerical solutions detailed, including dynamic programming and a novel solution for state-constrained optimal control problems based on the maximum principle. Real-time-implementable strategies that can approximate the optimal solution closely are dealt with in depth. Several approaches are discussed and compared, including a state-of-the-art strategy which is adaptive for vehicle conditions like velocity and mass. Three case studies are included in the book: • a control strategy for a micro-hybrid power train; • experimental results obtained with a real-time strategy implemented in a hybrid electric truck; and • an analysis of the optimal component sizes for a hybrid power train. Optimal Control of Hybrid Vehicles will appeal to academic researchers and graduate students interested in hybrid vehicle control or in the applications of optimal control. Practitioners working in the design of control systems for the automotive industry will also find the ideas propounded in this book of interest.

Book Optimal Control of Wind Energy Systems

Download or read book Optimal Control of Wind Energy Systems written by Iulian Munteanu and published by Springer Science & Business Media. This book was released on 2008-02-05 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering all aspects of this important topic, this work presents a review of the main control issues in wind power generation, offering a unified picture of the issues surrounding its optimal control. Discussion is focused on a global dynamic optimization approach to wind power systems using a set of optimization criteria which comply with a comprehensive group of requirements including: energy conversion efficiency; mechanical reliability; and quality of the energy provided.

Book Optimal Control of Remote Hybrid Power Systems

Download or read book Optimal Control of Remote Hybrid Power Systems written by C. Dennis Barley and published by . This book was released on 1995 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Optimal Control of Renewable Energy grid Hybrid Systems with Heat Pump Load

Download or read book Optimal Control of Renewable Energy grid Hybrid Systems with Heat Pump Load written by Sam M. Sichilalu and published by . This book was released on 2016 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rising costs, power deficit and environmental concerns about fossil fuel-based energy resources have led to significant research effort in renewable and cleaner energy resources. Globally, governments are adopting policies to promote the development and application of various renewable energy (RE) technologies for generating electricity. The main challenge associated with RE technologies such as solar and wind generation is their intermittent nature, which affects their ability to provide 100% supply reliability. Combining these RE sources with energy storage systems such as battery storage and hydrogen can be cost-effective. Currently there are limitations to the fraction of RE that can be incorporated in the grid system because of their intermittency and base load considerations. The major challenge is the escalating power demand, far above the installed capacity in most countries. This requires urgent mitigation of demand side management(DSM), in order to stabilize the imbalance in the short, medium and long term. Energy efficiency and optimal integration could provide one of the most effective technological solutions, with the usage of energy-efficient devices such as heat pump water heaters (HPWH). These collective efforts at energy saving should involve proper selection of an appropriate technology, application of optimal control (OC) in RE, usage of energy-efficient equipment, green building materials and an effective energy policy. The proper integration of these sources and the use of HPWH could reduce the power utility?s maximum demand and improve the security of the supply. Most countries at policy level are beginning to introduce attractive feed-in tariffs, dynamic energy pricing (time-of-use) and rebate systems for using greener energy and energy-efficient load such as HPWHs. Hence, this thesis provides the first practical attempt to integrate various distributed energy resources (DRE) effectively into the grid, using HPWHs for the generation of the required thermal energy. This multi-directional approach in this work has proven that OC strategy could significantly reduce the cost of energy and provide an opportunity for power trade-off/feed-in in the electricity market. This thesis developed four main models that meet both the technical and operational constraints of DSM and optimal integration of DREs. Solar energy is abundant in Africa, its exploitation in addition to other REs is a priority in this work. The first model is an optimal scheduling strategy of a gridtied/ battery/PV system supplying HPWH. Secondly, an optimal energy management model with a diesel generator back-up system is developed that minimizes the fuel cost, while maximizing the utilization of renewable energy with a HPWH. Thirdly, in OC model of a HPWH, the thermal output is state variable. It is supplied by the second abundant wind energy hybrid resources. An economic analysis is done in this model to assess the break-even period, which is important to every investor. Finally, the future green energy hydrogen fuel cell hybrid system is modeled. Hydrogen has attracted attention in modern research owing to its ability to reduce carbon dioxide emissions, thus helping to mitigate climate change, improve local air quality, improve energy security by reducing energy imports, increase energy supply options and reduce dependence on fossil fuels. These models are suitable for application in both urban and rural areas where the electrical power power supply is intermittent. These models have several advantages for building owners intending to turn their dwelling into zero/positive energy buildings and enter electricity market. However, engineering solutions alone cannot yield much success on DSM, sensitization and education on energy savings at individual level and how these are intertwined with climate change are of the utmost importance.

Book Hybrid Renewable Energy Systems

Download or read book Hybrid Renewable Energy Systems written by Djamila Rekioua and published by . This book was released on 2020 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the supervision of hybrid systems and presents models for control, optimization and storage. It provides a guide for practitioners as well as graduate and postgraduate students and researchers in both renewable energy and modern power systems, enabling them to quickly gain an understanding of stand-alone and grid-connected hybrid renewable systems. The book is accompanied by an online MATLAB package, which offers examples of each application to help readers understand and evaluate the performance of the various hybrid renewable systems cited. With a focus on the different configurations of hybrid renewable energy systems, it offers those involved in the field of renewable energy solutions vital insights into the control, optimization and supervision strategies for the different renewable energy systems.

Book Optimal Operation Control of Hybrid Renewable Energy Systems

Download or read book Optimal Operation Control of Hybrid Renewable Energy Systems written by Kanzumba Kusakana and published by . This book was released on 2014 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Hybrid Systems  Optimal Control and Hybrid Vehicles

Download or read book Hybrid Systems Optimal Control and Hybrid Vehicles written by Thomas J. Böhme and published by Springer. This book was released on 2017-02-01 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book assembles new methods showing the automotive engineer for the first time how hybrid vehicle configurations can be modeled as systems with discrete and continuous controls. These hybrid systems describe naturally and compactly the networks of embedded systems which use elements such as integrators, hysteresis, state-machines and logical rules to describe the evolution of continuous and discrete dynamics and arise inevitably when modeling hybrid electric vehicles. They can throw light on systems which may otherwise be too complex or recondite. Hybrid Systems, Optimal Control and Hybrid Vehicles shows the reader how to formulate and solve control problems which satisfy multiple objectives which may be arbitrary and complex with contradictory influences on fuel consumption, emissions and drivability. The text introduces industrial engineers, postgraduates and researchers to the theory of hybrid optimal control problems. A series of novel algorithmic developments provides tools for solving engineering problems of growing complexity in the field of hybrid vehicles. Important topics of real relevance rarely found in text books and research publications—switching costs, sensitivity of discrete decisions and there impact on fuel savings, etc.—are discussed and supported with practical applications. These demonstrate the contribution of optimal hybrid control in predictive energy management, advanced powertrain calibration, and the optimization of vehicle configuration with respect to fuel economy, lowest emissions and smoothest drivability. Numerical issues such as computing resources, simplifications and stability are treated to enable readers to assess such complex systems. To help industrial engineers and managers with project decision-making, solutions for many important problems in hybrid vehicle control are provided in terms of requirements, benefits and risks.

Book Intelligent Renewable Energy Systems

Download or read book Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Book Renewable Energy Systems

Download or read book Renewable Energy Systems written by Ahmad Taher Azar and published by Academic Press. This book was released on 2021-09-09 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. - Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy - Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results - Includes new circuits and systems, helping researchers solve many nonlinear problems

Book Optimization of the Fuel Cell Renewable Hybrid Power Systems

Download or read book Optimization of the Fuel Cell Renewable Hybrid Power Systems written by Nicu Bizon and published by Springer. This book was released on 2021-02-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive review of renewable energy sources and optimization strategies in hybrid power systems (HPSs). It analyses the main issues and challenges in the renewable (REW) HPS field, particularly those using fuel cell (FC) systems as their main source of energy. It then offers innovative solutions to these issues, comparing them to solutions currently found in the literature. The book discusses optimization algorithms and energy management strategies. The focus is chiefly on FC net power maximization and fuel economy strategies based on global optimization. The last two chapters discuss energy harvesting from photovoltaic systems and how to mitigate energy variability in REW FC HPS. The main content is supplemented by numerous examples and simulations. Academics, students and practitioners in relevant industrial branches interested in REW HPS finds it of considerable interest, as a reference book or for building their own HPSs based on the examples provided.

Book Optimal Control of Remote Hybrid Power Systems  Part 1  Simplified Model

Download or read book Optimal Control of Remote Hybrid Power Systems Part 1 Simplified Model written by and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this two-part study, time-series models are used to determine optimal dispatch strategies, in conjunction with optimally-sized components, in remote hybrid power systems. The objective of the dispatch optimization is to minimize the costs associated with diesel fuel, diesel starts, and battery erosion, based on a thorough economic analysis of present worth life-cycle cost. An ideal predictivecontrol strategy is used as a basis of comparison. In Part I (reported here), a simplified time-series model is used to obtain preliminary conceptual results. These results illustrate the nature of the optimal dispatch strategy and indicate that a simple SOC setpoint strategy can be practically as effective as the ideal predictive control. In Part II (at a later date), a more detailed model willbe used to obtain more accurate, quantitative results. We anticipate that these results will be correlated to dimensionless economic, design, and performance parameters, rendering them useful as design guidelines over a wide variety of load profiles, climates, equipment specifications, and economic variables.

Book Planning and operation of hybrid renewable energy systems  volume II

Download or read book Planning and operation of hybrid renewable energy systems volume II written by Weihao Hu and published by Frontiers Media SA. This book was released on 2023-06-06 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Research Advancements in Smart Technology  Optimization  and Renewable Energy

Download or read book Research Advancements in Smart Technology Optimization and Renewable Energy written by Vasant, Pandian and published by IGI Global. This book was released on 2020-08-07 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: As environmental issues remain at the forefront of energy research, renewable energy is now an all-important field of study. And as smart technology continues to grow and be refined, its applications broaden and increase in their potential to revolutionize sustainability studies. This potential can only be fully realized with a thorough understanding of the most recent breakthroughs in the field. Research Advancements in Smart Technology, Optimization, and Renewable Energy is a collection of innovative research that explores the recent steps forward for smart applications in sustainability. Featuring coverage on a wide range of topics including energy assessment, neural fuzzy control, and biogeography, this book is ideally designed for advocates, policymakers, engineers, software developers, academicians, researchers, and students.