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Modelling and analysing the market i...

Yujian, Ye.

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Modelling and analysing the market integration of flexible demand and storage resources

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modelling and analysing the market integration of flexible demand and storage resources/ by Ye Yujian.
作者:	Yujian, Ye.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xii, 181 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Current trends on market integration of flexible demand and energy storage -- Factoring flexible demand non-convexities in electricity markets -- Investigating the impact of flexible demand and energy storage on the exercise of market power by strategic producers in imperfect electricity markets -- Investigating the exercise of market power by strategic flexible demand and energy storage in imperfect electricity markets -- Conclusion and future work.
Contained By:	Springer Nature eBook
標題:	Electric power systems - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-981-19-1964-0
ISBN:	9789811919640

Modelling and analysing the market integration of flexible demand and storage resources
Yujian, Ye.

Modelling and analysing the market integration of flexible demand and storage resources[electronic resource] /by Ye Yujian. - Singapore :Springer Nature Singapore :2022. - xii, 181 p. :ill. (some col.), digital ;24 cm.

Introduction -- Current trends on market integration of flexible demand and energy storage -- Factoring flexible demand non-convexities in electricity markets -- Investigating the impact of flexible demand and energy storage on the exercise of market power by strategic producers in imperfect electricity markets -- Investigating the exercise of market power by strategic flexible demand and energy storage in imperfect electricity markets -- Conclusion and future work.

This book provides carefully designed illustrative examples to explain the profound in simpler terms. The emerging smart grid paradigm has paved the way for the wide introduction of flexible demand (FD) and energy storage (ES) technologies in power systems, with significant economic, technical, and environmental benefits that will facilitate efficient transition to the low-carbon future. In the deregulated energy sector, the realization of the significant FD and ES flexibility potential should be coupled with their suitable integration in electricity markets. In this context, previous studies have proposed market clearing mechanisms considering FD and ES participation and demonstrated their impact on the system operation. However, these studies have neglected fundamental market complexities, such as modeling and pricing FD non-convexities as well as modeling and analyzing the role of FD and ES in imperfect markets. This book is dedicated to address the above challenges through the development of novel computational methodologies. It also provides numerous explanatory figures, tables, algorithm flowcharts, and block diagrams for visual aid, which helps the readers to better grasp the working principles of the developed algorithms as well as to form a comprehensive comparison of results.

ISBN: 9789811919640

Standard No.: 10.1007/978-981-19-1964-0doiSubjects--Topical Terms:

678375
Electric power systems
--Mathematical models.

LC Class. No.: HD9685.A2 / Y4 2022

Dewey Class. No.: 333.7932015118

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520 $a This book provides carefully designed illustrative examples to explain the profound in simpler terms. The emerging smart grid paradigm has paved the way for the wide introduction of flexible demand (FD) and energy storage (ES) technologies in power systems, with significant economic, technical, and environmental benefits that will facilitate efficient transition to the low-carbon future. In the deregulated energy sector, the realization of the significant FD and ES flexibility potential should be coupled with their suitable integration in electricity markets. In this context, previous studies have proposed market clearing mechanisms considering FD and ES participation and demonstrated their impact on the system operation. However, these studies have neglected fundamental market complexities, such as modeling and pricing FD non-convexities as well as modeling and analyzing the role of FD and ES in imperfect markets. This book is dedicated to address the above challenges through the development of novel computational methodologies. It also provides numerous explanatory figures, tables, algorithm flowcharts, and block diagrams for visual aid, which helps the readers to better grasp the working principles of the developed algorithms as well as to form a comprehensive comparison of results.
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