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001443019 001__ 1443019
001443019 003__ OCoLC
001443019 005__ 20230310003522.0
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001443019 008__ 211204s2022\\\\si\\\\\\ob\\\\000\0\eng\d
001443019 019__ $$a1286946701$$a1287050026$$a1287076241$$a1296666675
001443019 020__ $$a9789811671708$$q(electronic bk.)
001443019 020__ $$a9811671702$$q(electronic bk.)
001443019 020__ $$z9811671699
001443019 020__ $$z9789811671692
001443019 0247_ $$a10.1007/978-981-16-7170-8$$2doi
001443019 035__ $$aSP(OCoLC)1287136205
001443019 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCF$$dOCLCO$$dDKU$$dOCLCQ$$dOCLCO$$dWAU$$dOCLCQ
001443019 049__ $$aISEA
001443019 050_4 $$aTK3105
001443019 08204 $$a621.31$$223
001443019 1001_ $$aSong, Meng.
001443019 24510 $$aIntegration of distributed resources in smart grids for demand response and transactive energy :$$ba case study of TCLs /$$cMeng Song, Ciwei Gao.
001443019 260__ $$aSingapore :$$bSpringer,$$c2022.
001443019 300__ $$a1 online resource (xxviii, 260 pages) :$$billustrations (some color)
001443019 336__ $$atext$$btxt$$2rdacontent
001443019 337__ $$acomputer$$bc$$2rdamedia
001443019 338__ $$aonline resource$$bcr$$2rdacarrier
001443019 347__ $$atext file
001443019 347__ $$bPDF
001443019 504__ $$aIncludes bibliographical references.
001443019 5050_ $$aOverview 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.
001443019 506__ $$aAccess limited to authorized users.
001443019 520__ $$aThe 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.
001443019 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 22, 2021).
001443019 650_0 $$aSmart power grids.
001443019 650_0 $$aRenewable energy sources.
001443019 650_6 $$aRéseaux électriques intelligents.
001443019 650_6 $$aÉnergies renouvelables.
001443019 655_0 $$aElectronic books.
001443019 7001_ $$aGao, Ciwei.
001443019 77608 $$iPrint version:$$aSong, Meng.$$tIntegration of Distributed Resources in Smart Grids for Demand Response and Transactive Energy.$$dSingapore : Springer Singapore Pte. Limited, ©2022$$z9789811671692
001443019 852__ $$bebk
001443019 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7170-8$$zOnline Access$$91397441.1
001443019 909CO $$ooai:library.usi.edu:1443019$$pGLOBAL_SET
001443019 980__ $$aBIB
001443019 980__ $$aEBOOK
001443019 982__ $$aEbook
001443019 983__ $$aOnline
001443019 994__ $$a92$$bISE