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Author: Ning Zhang Publisher: CRC Press ISBN: 0429847696 Category : Technology & Engineering Languages : en Pages : 261
Book Description
The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
Author: Ning Zhang Publisher: CRC Press ISBN: 0429847696 Category : Technology & Engineering Languages : en Pages : 261
Book Description
The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
Author: Bethany Ann Frew Publisher: ISBN: Category : Languages : en Pages :
Book Description
The effects of aggregating 1) electric load alone and 2) electric load with dispersed renewable generators through an enhanced transmission infrastructure in the United State (U.S.) were evaluated. First, a transmission network topology was created to estimate the additional transmission capacity needed for aggregating electric load. Aggregation benefits (generator capacity capital cost savings, load energy shift operating cost savings, and reserve requirement cost savings) were found to be significantly outweighed by the transmission costs required to achieve these benefits for nearly all cases. To evaluate the effects of aggregating electric load with dispersed renewables, a large-scale linear programming model was built to deterministically find the least-cost portfolio of generators (baseload, dispatchable, variable), storage, and transmission that met the electric load and reserve requirements (exogenously determined) each hour while attaining a given renewable portfolio standard (RPS) target. Various scenarios and sensitivity tests were completed of regional and U.S. spatial extents to evaluate the effect of flexibility mechanisms (aggregation, overgeneration, storage, and electric vehicle charging) and tradeoffs in modeling "levers" (temporal and spatial resolution and extent). For the set-up examined, a 100% RPS system for CA and the full U.S. was found to be technically feasible, but with significantly higher costs and overgeneration (curtailment) levels than lower RPS targets. Of the flexibility mechanisms considered, geographic aggregation had the greatest total system cost benefit, especially at high RPS levels. In interconnected scenarios, transmission was found to occupy a very small percentage of the total cost, and the contribution of each region to the aggregate RPS was significantly disproportionate, highlighting the need for regional-and-resource-specific RPS targets. Electric vehicle charging, which adds new load to the system, some of which was assumed to be flexible, always resulted in a larger total system cost but less expensive total system levelized cost (cost per unit of load served). This revealed the growing need for demand-side flexibility as the penetration of renewables increases; however results indicated that demand response price structures may need to be adjusted to encourage ideal flexible load in highly renewable systems. The cost tradeoffs of temporal and spatial modeling levers revealed small changes in accuracy and computational load as each lever was adjusted. Storage was found to be particularly sensitive to the temporal treatment in the model, highlighting the need for proper daily/weekly/seasonal storage balancing constraints. The findings presented here reflect technically feasible scenarios for a simplified U.S. electricity system and ignore many social, environmental, and political barriers, which may slow or prevent actual implementation.
Author: Neeraj Priyadarshi Publisher: John Wiley & Sons ISBN: 1119786274 Category : Computers Languages : en Pages : 484
Book Description
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.
Author: Moussa Labbadi Publisher: Springer Nature ISBN: 303098737X Category : Technology & Engineering Languages : en Pages : 244
Book Description
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.
Author: M. Kathiresh Publisher: John Wiley & Sons ISBN: 1119750423 Category : Science Languages : en Pages : 386
Book Description
INTEGRATION OF RENEWABLE ENERGY SOURCES WITH SMART GRID Provides comprehensive coverage of renewable energy and its integration with smart grid technologies. This book starts with an overview of renewable energy technologies, smart grid technologies, and energy storage systems and covers the details of renewable energy integration with smart grid and the corresponding controls. It also provides an enhanced perspective on the power scenario in developing countries. The requirement of the integration of smart grid along with the energy storage systems is deeply discussed to acknowledge the importance of sustainable development of a smart city. The methodologies are made quite possible with highly efficient power convertor topologies and intelligent control schemes. These control schemes are capable of providing better control with the help of machine intelligence techniques and artificial intelligence. The book also addresses modern power convertor topologies and the corresponding control schemes for renewable energy integration with smart grid. The design and analysis of power converters that are used for the grid integration of solar PV along with simulation and experimental results are illustrated. The protection aspects of the microgrid with power electronic configurations for wind energy systems are elucidated. The book also discusses the challenges and mitigation measure in renewable energy integration with smart grid. Audience The core audience is hardware and software engineers working on renewable energy integration related projects, microgrids, smart grids and computing algorithms for converter and inverter circuits. Researchers and students in electrical, electronics and computer engineering will also benefit reading the book.
Author: Aashish Kumar Bohre Publisher: Springer Nature ISBN: 9811909792 Category : Technology & Engineering Languages : en Pages : 1013
Book Description
This book focuses on various challenges, solutions, and emerging technologies in the operation, control, design, optimization, and protection of microgrids in the presence of hybrid renewable energy sources and electric vehicles. This book provides an insight into the potential applications and recent development of different types of renewable energy systems including AC/DC microgrids, RES integration issues with the grid, electric vehicle technology, etc. The book serves as an interdisciplinary platform for the audience working in the focused area to access information related to energy management, modeling, and control. It covers fundamental knowledge, design, mathematical modeling, applications, and practical issues with sufficient design problems and case studies with detailed planning aspects. This book will serve as a guide for researchers, academicians, practicing engineers, professionals, and scientists, as well as for graduate and postgraduate students working in the area of various applications of RES, Electric Vehicles, and AC/DC Microgrid.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
This poster details how REopt - NREL's software modeling platform for energy systems integration and optimization - can help to optimize solar + storage for cost savings and resiliency.
Author: Ning Zhang Publisher: CRC Press ISBN: 042984770X Category : Technology & Engineering Languages : en Pages : 372
Book Description
The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
Author: Jahangir Hossain Publisher: Springer Science & Business Media ISBN: 9814585270 Category : Technology & Engineering Languages : en Pages : 447
Book Description
This book presents different aspects of renewable energy integration, from the latest developments in renewable energy technologies to the currently growing smart grids. The importance of different renewable energy sources is discussed, in order to identify the advantages and challenges for each technology. The rules of connecting the renewable energy sources have also been covered along with practical examples. Since solar and wind energy are the most popular forms of renewable energy sources, this book provides the challenges of integrating these renewable generators along with some innovative solutions. As the complexity of power system operation has been raised due to the renewable energy integration, this book also includes some analysis to investigate the characteristics of power systems in a smarter way. This book is intended for those working in the area of renewable energy integration in distribution networks.
Author: Ning Zhang
Author: Ning Zhang
Author: Bethany Ann Frew
Author: Neeraj Priyadarshi
Author: Moussa Labbadi
Author: United States. Congress. House. Committee on Science and Technology (2007)
Author: M. Kathiresh
Author: Aashish Kumar Bohre
Author: 
Author: Ning Zhang
Author: Jahangir Hossain