Electric power systems
Subtitle: advanced forecasting techniques and optimal generation scheduling
By: [edited by] João P.S. Catalão
Publisher: CRC Press
Published: 2012
Place of publication: Boca Raton
Language: eng
ISBN-13: 9781439893944
Subjects: TECHNOLOGY & ENGINEERING / Electronics / General; Electric power production; Forecasting; Management; TECHNOLOGY & ENGINEERING / Power Resources / Electrical; Electric power systems; TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable
Description: "Preface A wide-ranging impression about the subjects discussed in this book is that the topics are pivotal for understanding and solving some of the problems flourishing in the second decade of the twenty-first century in the field of management of electric power generation systems. Noticeably, the chapters start with some of the last-decade knowledge to uncover lines of research on some of the present knowledge and, in due course, anticipate some of the admissible lines for future research in management of electric power generation systems. The scope of the book is well defined and of significant interest. Indeed, the development of new methodologies carrying away an improved forecasting and scheduling of electric power generation systems is crucial under the new competitive and environmentally constrained energy policy. The capability to cope with uncertainty and risk will benefit significantly generating companies. It is a fact that to avoid losing advantages of participating in the electricity market or negotiating bilateral contracts, a power producer should self-schedule its power system in anticipation. In recognition of this fact, hydro and thermal scheduling are relevant topics today. Already, wind power generation is playing an important role in some countries and will be even more important in the nearby future of energy supply in many countries. Thus, optimal coordination between hydro, thermal, and wind power is of utmost importance. Deterministic and stochastic modeling frameworks are allowing the development of the next generation of computational tools to help successful management of electric power generation systems. Research is underway to conquer the capability to cope with the present and the future of electric power generation systems as shown"--
Notes: Includes bibliographical references and index.