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Joint RES and Distribution Network Expansion Planning Under a Demand Response Framework
1st Edition - April 27, 2016
Authors: Javier Contreras, Miguel Asensio, Pilar Meneses de Quevedo, Gregorio Muñoz-Delgado, Sergio Montoya-Bueno
Language: English
Paperback ISBN:9780128053225
9 7 8 - 0 - 1 2 - 8 0 5 3 2 2 - 5
eBook ISBN:9780081009536
9 7 8 - 0 - 0 8 - 1 0 0 9 5 3 - 6
Joint RES and Distribution Network Expansion Planning Under a Demand Response Framework explains the implementation of the algorithms needed for joint expansion planning of distri…Read more
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Joint RES and Distribution Network Expansion Planning Under a Demand Response Framework explains the implementation of the algorithms needed for joint expansion planning of distributed generation and distribution network models, discussing how to expand the generation and distribution network by adding renewable generation, demand response, storage units, and new assets (lines and substations) so that the current and future energy supply in islands is served at a minimum cost, and with quality requirements.
This book discusses the outcomes of the models discussed, including factors such as the location and size of new generation assets to be installed. It also introduces other issues relevant to the planning of insular distribution systems, including DR and hybrid storage. DR and ESS will play a much more significant role in future expansion planning models, where the present study stresses their relevance, including additional considerations to the planning model.
Investigates the costs and benefits of deploying energy storage systems (ESS) and DR
Explores distribution and generation expansion planning
Analyzes and addresses power flow constraints and the impact of real time pricing mechanisms
Details the RES integration challenge at length
Power system engineers, energy engineers, electrical engineers, energy policy professionals and electrical engineering academics
Chapter 1. Introduction
Abstract
1.1 Historical Background and Motivation
1.2 Outline
Chapter 2. Renewable Power Generation Models
Abstract
2.1 Photovoltaic Energy
2.2 Wind Energy
Chapter 3. Uncertainty Modeling
Abstract
3.1 Introduction
3.2 Method Based on Load, Wind, and Irradiation Curves
Chapter 4. Demand Response Modeling
Abstract
4.1 Demand Response Modeling
4.2 Formulation
4.3 Methodologies to Include Short-Term DR Into Expansion Planning
Chapter 5. Energy Storage Systems Modeling
Abstract
5.1 Benefits Derived From the Use of ESS
5.2 ESS Technologies
5.3 Storage Unit Model
Chapter 6. Optimization Problem Formulation
Abstract
6.1 Objective Function
6.2 Constraints
6.3 Linearizations
Chapter 7. Case Study
Abstract
7.1 La Graciosa Case Study
7.2 Results Without DR and Hybrid Storage
7.3 Results With DR
7.4 Results With Hybrid Storage
7.5 Results With DR and Hybrid Storage
7.6 Impact of DR and Hybrid Storage in Generation and Distribution Expansion Planning
7.7 Cost–Benefit Analysis
Chapter 8. Summary and Conclusions
Abstract
8.1 Summary
8.2 Conclusions
Nomenclature
1 Sets and Indexes
2 Parameters
3 Variables
References
No. of pages: 110
Language: English
Edition: 1
Published: April 27, 2016
Imprint: Academic Press
Paperback ISBN: 9780128053225
eBook ISBN: 9780081009536
JC
Javier Contreras
Javier Contreras (IEEE SM’05, IEEE F’15) received the B.S. degree in electrical engineering from the University of Zaragoza, Zaragoza, Spain, in 1989, the M.Sc. degree from the University of Southern California, Los Angeles, in 1992, and the Ph.D. degree from the University of California, Berkeley, in 1997. He is currently Full Professor at the University of Castilla – La Mancha, Ciudad Real, Spain. His research interests include power systems planning, operations and economics, and electricity markets.
Affiliations and expertise
Professor at University of Castilla – La Mancha, Ciudad Real, Spain
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