|
|
|
|
| LEADER |
00000cam a2200000 a 4500 |
| 001 |
on1287136205 |
| 003 |
OCoLC |
| 005 |
20240623213015.0 |
| 006 |
m o d |
| 007 |
cr un|---aucuu |
| 008 |
211204s2022 si ob 000 0 eng d |
| 040 |
|
|
|a EBLCP
|b eng
|e pn
|c EBLCP
|d YDX
|d GW5XE
|d OCLCF
|d OCLCO
|d DKU
|d OCLCQ
|d OCLCO
|d WAU
|d OCLCQ
|d OCLCO
|
| 019 |
|
|
|a 1286946701
|a 1287050026
|a 1287076241
|a 1296666675
|
| 020 |
|
|
|a 9789811671708
|q (electronic bk.)
|
| 020 |
|
|
|a 9811671702
|q (electronic bk.)
|
| 020 |
|
|
|z 9811671699
|
| 020 |
|
|
|z 9789811671692
|
| 024 |
7 |
|
|a 10.1007/978-981-16-7170-8
|2 doi
|
| 035 |
|
|
|a (OCoLC)1287136205
|z (OCoLC)1286946701
|z (OCoLC)1287050026
|z (OCoLC)1287076241
|z (OCoLC)1296666675
|
| 050 |
|
4 |
|a TK3105
|
| 072 |
|
7 |
|a TEC046000
|2 bisacsh
|
| 072 |
|
7 |
|a THRD
|2 bicssc
|
| 072 |
|
7 |
|a THY
|2 thema
|
| 049 |
|
|
|a HCDD
|
| 100 |
1 |
|
|a Song, Meng.
|
| 245 |
1 |
0 |
|a Integration of distributed resources in smart grids for demand response and transactive energy :
|b a case study of TCLs /
|c Meng Song, Ciwei Gao.
|
| 260 |
|
|
|a Singapore :
|b Springer,
|c 2022.
|
| 300 |
|
|
|a 1 online resource (xxviii, 260 pages) :
|b illustrations (some color)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|
| 347 |
|
|
|b PDF
|
| 505 |
0 |
|
|a Overview of TCLs in smart grids -- Impact analysis of uncertain parameters on TCL power capacity -- Time-dependent cold load pickup of TCLs and its application in distribution system load restoration -- Aggregated control of TCLs based on modified state space model -- Uniform-time state bin model of aggregated TCLs for regulation services -- Thermal battery modeling of TCLs for demand response -- Comparison analysis on energy storage behaviors of TCLs under different control methods -- Multi-time scale models and parameter identification method of TCLs -- Hierarchical scheduling of TCL flexibility for transactive energy -- Multi-time scale transactive scheduling of TCLs for something microgrid tie flow fluctuations.
|
| 504 |
|
|
|a Includes bibliographical references.
|
| 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.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (SpringerLink, viewed December 22, 2021).
|
| 650 |
|
0 |
|a Smart power grids.
|
| 650 |
|
0 |
|a Renewable energy sources.
|
| 650 |
|
7 |
|a Renewable energy sources
|2 fast
|
| 650 |
|
7 |
|a Smart power grids
|2 fast
|
| 700 |
1 |
|
|a Gao, Ciwei.
|
| 776 |
0 |
8 |
|i Print version:
|a Song, Meng.
|t Integration of Distributed Resources in Smart Grids for Demand Response and Transactive Energy.
|d Singapore : Springer Singapore Pte. Limited, ©2022
|z 9789811671692
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-16-7170-8
|y Click for online access
|
| 903 |
|
|
|a SPRING-ENERGY2022
|
| 994 |
|
|
|a 92
|b HCD
|