Renewable Energy Optimization, Planning and Control: Proceedings of Icrte 2021, Volume 1, Khosla Anita, Aggarwal Monika
Автор: Jizhong Zhu Название: Optimization of Power System Operation 2e ISBN: 1118854152 ISBN-13(EAN): 9781118854150 Издательство: Wiley Рейтинг: Цена: 19317.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Optimization of Power System Operation, 2 nd Edition, offers a practical, hands-on guide to theoretical developments and to the application of advanced optimization methods to realistic electric power engineering problems.
Автор: Andreas Spanias, Cihan Tepedelenlioglu, Gowtham Muniraju, Pavan Turaga, Sameeksha Katoch, Sunil Rao, Vivek Narayanaswamy Название: Machine Learning for Solar Array Monitoring, Optimization, and Control ISBN: 1681739097 ISBN-13(EAN): 9781681739090 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 9286.00 р. Наличие на складе: Нет в наличии.
Описание: The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance and help optimize the performance of the photo-voltaic arrays under various conditions. We describe a project that includes development of machine learning and signal processing algorithms along with a solar array testbed for the purpose of PV monitoring and control. The 18kW PV array testbed consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. We develop machine learning and neural network algorithms for fault classification. In addition, we use weather camera data for cloud movement prediction using kernel regression techniques which serves as the input that guides topology reconfiguration. Camera and satellite sensing of skyline features as well as parameter sensing at each panel provides information for fault detection and power output optimization using topology reconfiguration achieved using programmable actuators (relays) in the SMDs. More specifically, a custom neural network algorithm guides the selection among four standardized topologies. Accuracy in fault detection is demonstrate at the level of 90 % and topology optimization provides increase in power by as much as 16% under shading.
Автор: Andreas Spanias, Cihan Tepedelenlioglu, Gowtham Muniraju, Pavan Turaga, Sameeksha Katoch, Sunil Rao, Vivek Narayanaswamy Название: Machine Learning for Solar Array Monitoring, Optimization, and Control ISBN: 1681739070 ISBN-13(EAN): 9781681739076 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 6376.00 р. Наличие на складе: Нет в наличии.
Описание: The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance and help optimize the performance of the photo-voltaic arrays under various conditions. We describe a project that includes development of machine learning and signal processing algorithms along with a solar array testbed for the purpose of PV monitoring and control. The 18kW PV array testbed consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. We develop machine learning and neural network algorithms for fault classification. In addition, we use weather camera data for cloud movement prediction using kernel regression techniques which serves as the input that guides topology reconfiguration. Camera and satellite sensing of skyline features as well as parameter sensing at each panel provides information for fault detection and power output optimization using topology reconfiguration achieved using programmable actuators (relays) in the SMDs. More specifically, a custom neural network algorithm guides the selection among four standardized topologies. Accuracy in fault detection is demonstrate at the level of 90 % and topology optimization provides increase in power by as much as 16% under shading.
Автор: Ashok D. Belegundu, Tirupathi R. Chandrupatla Название: Optimization Concepts and Applications in Engineering ISBN: 1108424880 ISBN-13(EAN): 9781108424882 Издательство: Cambridge Academ Рейтинг: Цена: 16474.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A revised and expanded third edition, this book integrates theory, modeling, the development of numerical methods, and problem solving to apply optimization to real-world problems. This book is ideal for advanced undergraduate, graduate and applied mathematics courses as well as practicing engineers.
Описание: These papers highlight the increasing importance of network control and optimization in many networking application domains, such as mobile and fixed access networks, computer networks, social networks, transportation networks, and, more recently, electricity grids and biological networks.
Описание: This book constitutes the conference proceedings of the 10th International Conference on Network Games, Control and Optimization, NETGCOOP 2020, held in Cargese, Corsica, France, in September 2021*.The 12 full papers and 16 short papers were carefully reviewed and selected from 44 submissions. game theory in mobile and wireless networks;
Introduction.- Hybrid Renewable Energy Systems Overview.- Power Electronics in Hybrid Renewable Energy Systems.- MPPT methods in Hybrid Renewable Energy Systems.- Storage in Hybrid Renewable Energy Systems.- Sizing of Hybrid Renewable Energy Systems.- Power Management and Supervision of Hybrid Renewable Energy.
Автор: Azar Ahmad Taher Название: Renewable Energy Systems: Modelling, Optimization and Control ISBN: 0128200049 ISBN-13(EAN): 9780128200049 Издательство: Elsevier Science Рейтинг: Цена: 23749.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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
Описание: This book includes high-quality research papers presented at Symposium on Power Electronic and Renewable Energy Systems Control (PERESC 2020), which is held at the School of Electrical Sciences, IIT Bhubaneswar, Odisha, India, during 4-5 December 2020.
Автор: Joshua Adam Taylor Название: Convex Optimization of Power Systems ISBN: 1107076870 ISBN-13(EAN): 9781107076877 Издательство: Cambridge Academ Рейтинг: Цена: 12038.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This mathematically rigorous guide to convex optimization for power systems engineering includes convex models for a variety of real-world applications, and a selection of problems and practical examples. An invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.
Описание: The volume contains a collection of original papers and surveys in various areas of Differential Equations, Control Theory and Optimization written by well-known specialists and is thus useful for PhD students and researchers in applied mathematics.
Описание: Part I Optimal Power Flow.- Feasibility vs. Optimality in Distributed AC OPF: A Case Study Considering ADMM and ALADIN.- Security Analysis of Embedded HVDC in Transmission Grids.- Multi-area Coordination of Security-Constrained Dynamic Optimal Power Flow in AC-DC Grids with Energy Storage.- A Domain Decomposition Approach to Solve Dynamic Optimal Power Flow Problems in Parallel.- Part II Energy System Integration.- Optimal Control of Compressor Stations in a Coupled Gas-to-Power Network.- Utilising Distributed Flexibilities in the European Transmission Grid.- Part III Managing Demand Response.- A Discussion of Mixed Integer Linear Programming Models of Thermostatic Loads in Demand Response.- Weighted Fair Queuing as a Scheduling Algorithm for Deferrable Loads in Smart Grids.- Part IV Planning and Operation of Distribution Grids.- Cost Optimal Design of Zero Emission Neighborhoods' (ZENs) Energy System.- Efficient Operation of Modular Grid-Connected Battery Inverters for RES Integration. p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 10.0px Times} p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Times} span.s1 {letter-spacing: 0.0px}
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