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Integration of distributed resources...

Song, Meng.

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Integration of distributed resources in smart grids for demand response and transactive energy = a case study of tcls /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Integration of distributed resources in smart grids for demand response and transactive energy/ by Meng Song, Ciwei Gao.
Reminder of title:	a case study of tcls /
Author:	Song, Meng.
other author:	Gao, Ciwei.
Published:	Singapore :Springer Singapore : : 2022.,
Description:	xxviii, 260 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Overview of TCLs in smart grids -- Chapter 2. Impact of Uncertain Parameters on TCL Power Capacity Calculation -- Chapter 3. Aggregated Control Models of TCLs for regulation services I -- Chapter 4. Aggregated Control Models of TCLs for regulation services II -- Chapter 5. Thermal battery modeling of TCLs and its comparisons to conventional batteries -- Chapter 6. Energy storage Models of TCLs under different control methods -- Chapter 7. Parameter identification of multi-time scale TCL aggregated models -- Chapter 8. Hierarchical scheduling of TCL flexibility for transactive energy -- Chapter 9. Multi-time scale transactive control and scheduling of TCLs for smoothing microgrid tie flow fluctuations -- Chapter 10. Robust Distribution System Load Restoration with Time-Dependent Cold Load Pickup.
Contained By:	Springer Nature eBook
Subject:	Smart power grids. -
Online resource:	https://doi.org/10.1007/978-981-16-7170-8
ISBN:	9789811671708

Integration of distributed resources in smart grids for demand response and transactive energy = a case study of tcls /
Song, Meng.

Integration of distributed resources in smart grids for demand response and transactive energya case study of tcls /[electronic resource] :by Meng Song, Ciwei Gao. - Singapore :Springer Singapore :2022. - xxviii, 260 p. :ill., digital ;24 cm.

Chapter 1. Overview of TCLs in smart grids -- Chapter 2. Impact of Uncertain Parameters on TCL Power Capacity Calculation -- Chapter 3. Aggregated Control Models of TCLs for regulation services I -- Chapter 4. Aggregated Control Models of TCLs for regulation services II -- Chapter 5. Thermal battery modeling of TCLs and its comparisons to conventional batteries -- Chapter 6. Energy storage Models of TCLs under different control methods -- Chapter 7. Parameter identification of multi-time scale TCL aggregated models -- Chapter 8. Hierarchical scheduling of TCL flexibility for transactive energy -- Chapter 9. Multi-time scale transactive control and scheduling of TCLs for smoothing microgrid tie flow fluctuations -- Chapter 10. Robust Distribution System Load Restoration with Time-Dependent Cold Load Pickup.

The proliferation of renewable energy enhances the sustainability of power systems, but the inherent variability also poses great challenges to the planning and operation of large power grids. The corresponding electric power deficiencies can be compensated by fast ramping generators and energy storage devices. However, frequent ramp up/down power adjustments can increase the operation and the maintenance cost of generators. Moreover, storage devices are regarded as costly alternatives. Demand response (DR) and transactive energy can address this problem owing to its attractive and versatile capability for balancing the supply-demand, improving energy efficiency, and enhancing system resilience. Distributed resources are the typical participants of DR and transactive energy programs, which greatly contribute to keep the supply and demand in a balance. Thermostatically controlled loads (TCLs) (i.e., air conditioners, water heaters, and refrigerators) represent an example of distributed resources, the ratio of which to the total power consumption in developed countries is up to 30%-40%. Providing tremendous potentials in adjustable power consumption, TCLs have attracted major interests in DR and transactive energy opportunities. It has highlighted the advantages of TCLs in responding to uncertainties in power systems. This book provides an insight of TCLs as typical distributed resources in smart grids for demand response and transactive energy to address the imbalance between supply and demand problems in power systems. The key points on analysis of uncertainty parameters, aggregated control models, battery modelling, multi-time scale control, transactive control and robust restoration of TCLs are all included. These are the research points of smart grids and deserve much attention. We believe this book will offer the related researcher a better understanding on the integration of distributed resources into smart grid for demand response and transactive energy. And it will be helpful to address the problems in practical projects.

ISBN: 9789811671708

Standard No.: 10.1007/978-981-16-7170-8doiSubjects--Topical Terms:

1567050
Smart power grids.

LC Class. No.: TK3105 / .S65 2022

Dewey Class. No.: 621.31

Integration of distributed resources in smart grids for demand response and transactive energy = a case study of tcls /
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245 1 0 $a Integration of distributed resources in smart grids for demand response and transactive energy $h [electronic resource] : $b a case study of tcls / $c by Meng Song, Ciwei Gao.
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505 0 $a Chapter 1. Overview of TCLs in smart grids -- Chapter 2. Impact of Uncertain Parameters on TCL Power Capacity Calculation -- Chapter 3. Aggregated Control Models of TCLs for regulation services I -- Chapter 4. Aggregated Control Models of TCLs for regulation services II -- Chapter 5. Thermal battery modeling of TCLs and its comparisons to conventional batteries -- Chapter 6. Energy storage Models of TCLs under different control methods -- Chapter 7. Parameter identification of multi-time scale TCL aggregated models -- Chapter 8. Hierarchical scheduling of TCL flexibility for transactive energy -- Chapter 9. Multi-time scale transactive control and scheduling of TCLs for smoothing microgrid tie flow fluctuations -- Chapter 10. Robust Distribution System Load Restoration with Time-Dependent Cold Load Pickup.
520 $a The proliferation of renewable energy enhances the sustainability of power systems, but the inherent variability also poses great challenges to the planning and operation of large power grids. The corresponding electric power deficiencies can be compensated by fast ramping generators and energy storage devices. However, frequent ramp up/down power adjustments can increase the operation and the maintenance cost of generators. Moreover, storage devices are regarded as costly alternatives. Demand response (DR) and transactive energy can address this problem owing to its attractive and versatile capability for balancing the supply-demand, improving energy efficiency, and enhancing system resilience. Distributed resources are the typical participants of DR and transactive energy programs, which greatly contribute to keep the supply and demand in a balance. Thermostatically controlled loads (TCLs) (i.e., air conditioners, water heaters, and refrigerators) represent an example of distributed resources, the ratio of which to the total power consumption in developed countries is up to 30%-40%. Providing tremendous potentials in adjustable power consumption, TCLs have attracted major interests in DR and transactive energy opportunities. It has highlighted the advantages of TCLs in responding to uncertainties in power systems. This book provides an insight of TCLs as typical distributed resources in smart grids for demand response and transactive energy to address the imbalance between supply and demand problems in power systems. The key points on analysis of uncertainty parameters, aggregated control models, battery modelling, multi-time scale control, transactive control and robust restoration of TCLs are all included. These are the research points of smart grids and deserve much attention. We believe this book will offer the related researcher a better understanding on the integration of distributed resources into smart grid for demand response and transactive energy. And it will be helpful to address the problems in practical projects.
650 0 $a Smart power grids. $3 1567050
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650 1 4 $a Power Electronics, Electrical Machines and Networks. $3 1001796
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