Distributed Energy Resources in Local Integrated Energy Systems

Optimal Operation and Planning

1st Edition - February 27, 2021
Imprint: Elsevier
Editors: Giorgio Graditi, Marialaura Di Somma
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 3 8 9 9 - 8
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 2 4 2 1 4 - 8

Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning reviews research and policy developments surrounding the optimal operation and plann… Read more

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Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning reviews research and policy developments surrounding the optimal operation and planning of DER in the context of local integrated energy systems in the presence of multiple energy carriers, vectors and multi-objective requirements. This assessment is carried out by analyzing impacts and benefits at local levels, and in distribution networks and larger systems. These frameworks represent valid tools to provide support in the decision-making process for DER operation and planning. Uncertainties of RES generation and loads in optimal DER scheduling are addressed, along with energy trading and blockchain technologies.

Interactions among various energy carriers in local energy systems are investigated in scalable and flexible optimization models for adaptation to a number of real contexts thanks to the wide variety of generation, conversion and storage technologies considered, the exploitation of demand side flexibility, emerging technologies, and through the general mathematical formulations established.

Cover image
Title page
Table of Contents
Copyright
List of contributors
Chapter 1. Overview of distributed energy resources in the context of local integrated energy systems
Abstract
Abbreviations
1.1 Introduction
1.2 Distributed energy resources
1.3 Grid side aspects
1.4 Emergent paradigms and solutions
References
Chapter 2. Architectures and concepts for smart decentralised energy systems
Abstract
Abbreviations
2.1 Introduction
2.2 Why decentralizing the energy system?
2.3 Development of the decentralized architecture
2.4 Grid-secure activations for ancillary services (real-time control)
2.5 ELECTRA Web-of-Cells control concept
2.6 Post-primary voltage control
2.7 Balance restoration control
2.8 Balance steering control
2.9 Adaptive frequency containment control
2.10 Inertia control
2.11 Decentralizing the DA/ID energy market clearing and grid prequalification of ancillary services
2.12 What is next: evolution of roles and responsibilities necessary for decentralization the European regulatory framework
2.13 Conclusions
References
Chapter 3. Modeling of multienergy carriers dependencies in smart local networks with distributed energy resources
Abstract
Abbreviations
Nomenclature
3.1 Introduction
3.2 Internal multicarrier dependency in a smart local system
3.3 External dependencies in a smart local system
3.4 Interdependency modeling
3.5 A case study on interdependent MES model
3.6 Conclusions
References
Chapter 4. Multiobjective operation optimization of DER for short- and long-run sustainability of local integrated energy systems
Abstract
Abbreviations
Nomenclature
4.1 Importance of multiobjective operation optimization for short- and long-run sustainability of local integrated energy systems
4.2 Multiobjective optimization for the operation of a local integrated energy system
4.3 Case study: eco-exergetic operation optimization of a local integrated energy system for a large hotel in Beijing
4.4 Operation optimization of multiple integrated energy systems in a local energy community
4.5 Conclusions and key findings
References
Chapter 5. Impact of neighborhood energy trading and renewable energy communities on the operation and planning of distribution networks
Abstract
Abbreviations
Nomenclature
5.1 Introduction
5.2 A distributed approach for the day-ahead scheduling of the LEC
5.3 Implementation and numerical tests
5.4 Distribution network planning model considering nonnetwork solutions and neighborhood energy trading
5.5 Application of the planning model to case studies and analysis of the results
5.6 Conclusions
Acknowledgment
References
Chapter 6. Fostering DER integration in the electricity markets
Abstract
Abbreviations
6.1 Distributed energy resources as providers of flexibility services
6.2 The regulatory framework for the participation of distributed energy resources in different electricity markets
6.3 Flexibility needs in power systems
6.4 The market value of flexibility in the distribution system
6.5 Local energy markets
6.6 Conclusions
References
Chapter 7. Challenges and directions for Blockchain technology applied to Demand Response and Vehicle-to-Grid scenarios
Abstract
Abbreviations
7.1 Introduction
7.2 The blockchain technology
7.3 The energy blockchain: current trends and possible evolutions
7.4 Laboratory setup for energy blockchain testing
7.5 Conclusions
Acknowledgment
References
Chapter 8. Optimal management of energy storage systems integrated in nanogrids for virtual “nonsumer” community
Abstract
Abbreviations
Nomenclature
8.1 Introduction
8.2 Energy storage systems as distributed flexibility
8.3 The energy storage system in a nanogrid: the configuration
8.4 Optimal energy management for virtual nonsumers nanogrid community
8.5 The energy storage systems for grid ancillary service
8.6 Case study
8.7 Conclusions
References
Chapter 9. Demand response role for enhancing the flexibility of local energy systems
Abstract
Abbreviations
Nomenclature
9.1 Introduction
9.2 Demand response programs for local energy systems
9.3 Flexibility assessment of local energy systems in the presence of energy storage systems and DR programs
9.4 Energy management framework for DER integrated distribution networks
9.5 Simulation results
9.6 Conclusion remarks
Acknowledgment
References
Chapter 10. The integration of electric vehicles in smart distribution grids with other distributed resources
Abstract
Abbreviations
Nomenclature
10.1 Introduction to electric vehicles and charging infrastructures
10.2 Integration of electric vehicles in smart distribution grids
10.3 Vehicle-to-Grid
10.4 Conclusions
References
Chapter 11. Assessing renewables uncertainties in the short-term (day-ahead) scheduling of DER
Abstract
Abbreviations
Nomenclature
11.1 Introduction
11.2 RES uncertainties description and assessment
11.3 Uncertainties affecting system resilience
11.4 Assessing renewables uncertainties in the short-term (day-ahead) scheduling of DER
11.5 Discussion and conclusions
References
Chapter 12. Load forecasting in the short-term scheduling of DERs
Abstract
Abbreviations
Nomenclature
12.1 Introduction
12.2 New trends in load forecasting
12.3 Trans-active energy systems with DERs
12.4 Short-term scheduling of DERs in demand side
12.5 Conclusions and future thoughts
References
Chapter 13. Conclusions and key findings of optimal operation and planning of distributed energy resources in the context of local integrated energy systems
Abstract
Index

Giorgio Graditi

Dr. Eng. Giorgio Graditi - PhD in Electrical Engineering / Director, Department of Energy Technologies and Renewable Energy Resources of ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development), Rome, Italy He received the doctoral degree and the Laurea degree (cum laude) in Electrical Engineering from the University of Palermo (Italy). Since July 2020, he is the Director of the Department of Energy Technologies and Renewable Sources of ENEA. Since 2000, he is a Researcher at ENEA. From 2011 to 2017, he was the head of the Photovoltaic Systems and Smart Grid Unit of ENEA, whereas from 2018 to 2019 he was the head of Solar Thermal and Smart Network Division of ENEA. From April 2019, he is the President of MEDENER, Mediterranean Association of National Agencies for Energy Management for energy efficiency and the development of renewable energy sources, and from May 2019 is the Coordinator of the Scientific Technical Committee of National Energy Technological Cluster under the Ministry of Education, University and Research. He is a member of IEA task 11 “PV Hybrid systems within mini-grids” and task 14 “High penetration of PV systems in electricity grids” and of Italian Electrotechnical Committee (CEI) CT 82 “Solar photovoltaic”, CT 316 “Connection to LV, MV and HV distribution networks” and CT 313 “Smart grids”. In 2017, he received the Italian National Scientific Qualification as Full Professor in the sector of electrical energy engineering. He is operating as Italian member for Mission Innovation Challenge 1 “Smart Grids” and Challenge 2 “Off-grid access to electricity”, and he is a member of the H2020 National Steering Board for the "Safe, Clean and Efficient Energy" Cluster, and member of the working group of the thematic area "Industrial Energy” for the “Climate, Energy and Sustainable Mobility” area set up by the Italian Ministry of University and Research within the drafting of the national research plan 2020-2027. He is the vice-coordinator of the Joint Programme on Smart Grid (JP SG) within European Energy Research Alliance (EERA) and the responsible of many National and European (FP7, H2020) projects on the topics of RES, integrated energy networks and smart grid. His main research interests are in: design, modelling and tools development for the control and management of Smart Grids and microgrids in the presence of DER; energy conversion components and systems design and characterization; performance analysis of integrated energy networks by multi-objective techniques; design, modelling, and analysis of multi-energy hubs; management and operation optimization of local and renewable energy communities; design, characterization and testing of concentrated solar power and photovoltaic components and plants; RES production and demand forecasting based on artificial intelligence techniques (machine learning). He has supervised several MSc and PhD theses. He is also peer review, associated editor, member of editorial and advisory board of scientific journals, and chairman in international conference. He is also responsible of many R&D contract and agreement in the energy sector with international and national stakeholders. He is author of more than 250 scientific papers (with Scopus H-index 32) published in international journals and proceedings of international conference most of them awarded as highly-cited papers.

Affiliations and expertise

Director, Department of Energy Technologies and Renewable Energy Resources of ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development), Rome, Italy

Marialaura Di Somma

Dr. Eng. Marialaura Di Somma – PhD in Mechanical Systems Engineering / , Research Engineer of Department of Energy Technologies and Renewable Energy Resources, Smart Grids and Energy Networks Laboratory of ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development), Portici (Naples), Italy. Marialaura Di Somma received the MSc Degree (cum laude) in Mechanical Engineering for Energy and Environment and the Ph. D degree in Mechanical Systems Engineering from the University of Naples Federico II (Italy), in 2012 and 2016, respectively. In 2014, she held a position as visiting research assistant at the Department of Electrical and Computer Engineering of the University of Connecticut (CT, USA). Since December 2014, she is Research Engineer of the Smart Grid and Energy Networks Laboratory | Energy Technologies and Renewable Sources Department of ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development). Her main research interests include: design and operation optimization of DER in the context of local energy systems through multi-objective approach, bidding strategies of DER aggregators for participation to the various market options, demand response, multi-carrier energy systems modeling and optimization, and power systems design and control. Since 2016, she is representative of ENEA within the European Energy Research Alliance – Joint Programme on Smart Grids (EERA JP SG), whereas since 2017, she is member of Mission Innovation – Innovation Challenge 1 on Smart Grids. She is scientific coordinator of a number of National and European projects on DER scheduling and control and smart grid topics, by also acting as Vice Project Coordinator and Work Package Leader. She is the Coordinator of the H2020 Project eNeuron on Local Energy Communities. In 2020, she has been awarded among the ten most talented under 40 researchers in Italy by Fortune magazine. She has supervised several MSc theses, and international fellowship programmes. She also acts as guest editor for special issues associated to international scientific journals, and she has been plenary speaker in several scientific conferences, chair in international conferences and member of scientific committees. She is author of many scientific papers published in international journals and proceedings of international conferences, most of them awarded as highly-cited papers.

Affiliations and expertise

Research Engineer of Department of Energy Technologies and Renewable Energy Resources, Smart Grids and Energy Networks Laboratory of ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development), Portici (Naples), Italy.

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