Urban DC Microgrid: Intelligent Control and Power Flow Optimization" focuses on microgrids for urban areas, particularly associated with building-integrated photovoltaic and renewable sources. This book describes the most important problems of DC microgrid application, with grid-connected and off-grid operating modes, aiming to supply DC building distribution networks.
The book considers direct current (DC) microgrid to supply DC building distribution networks for positive energy buildings; dynamic interactions with the utility grid based on communication with the smart grid; supervisory control systems; and energy management. The global power system is exposed and the DC microgrid system is presented and analyzed with results and discussion, highlighting both the advantages and limitations of the concept. Coverage at the system level of microgrid control as well as the various technical aspects of the power system components make this a book interesting to academic researchers, industrial energy researchers, electrical power and power system professionals. Provides a strong overview of microgrid modellingDescribes the most important problems of DC microgrid application, with grid-connected and off-grid operating modes, aiming to supply DC building distribution networksOffers experimental problem examples and resultsIncludes supervisory control and energy management
Автор: Soliman, S.A. Название: Electrical Load Forecasting ISBN: 0128102217 ISBN-13(EAN): 9780128102213 Издательство: Elsevier Science Рейтинг: Цена: 18696.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Succinct and understandable, this book is a step-by-step guide to the mathematics and construction of electrical load forecasting models. Written by one of the world’s foremost experts on the subject, Electrical Load Forecasting provides a brief discussion of algorithms, their advantages and disadvantages and when they are best utilized.The book begins with a good description of the basic theory and models needed to truly understand how the models are prepared so that they are not just blindly plugging and chugging numbers. This is followed by a clear and rigorous exposition of the statistical techniques and algorithms such as regression, neural networks, fuzzy logic, and expert systems. The book is alsosupported by an online computer program thatallows readers to construct, validate, and run short and long term models.
Автор: B. Chateau; B. Lapillonne Название: Energy Demand: Facts and Trends ISBN: 3709186412 ISBN-13(EAN): 9783709186411 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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