000790029 000__ 04715cam\a2200553Ii\4500 000790029 001__ 790029 000790029 005__ 20230306143333.0 000790029 006__ m\\\\\o\\d\\\\\\\\ 000790029 007__ cr\cn\nnnunnun 000790029 008__ 170623s2017\\\\sz\\\\\\ob\\\\000\0\eng\d 000790029 019__ $$a991645835 000790029 020__ $$a9783319595290$$q(electronic book) 000790029 020__ $$a3319595296$$q(electronic book) 000790029 020__ $$z9783319595283 000790029 020__ $$z3319595288 000790029 035__ $$aSP(OCoLC)ocn990802728 000790029 035__ $$aSP(OCoLC)990802728$$z(OCoLC)991645835 000790029 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dEBLCP$$dGW5XE$$dYDX$$dOCLCF$$dUAB 000790029 049__ $$aISEA 000790029 050_4 $$aTK5105.5 000790029 08204 $$a004.6$$223 000790029 1001_ $$aGuo, Yuanxiong. 000790029 24510 $$aStochastic optimization for distributed energy resources in smart grids /$$cYuanxiong Guo, Yuguang Fang, Pramod P. Khargonekar. 000790029 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2017] 000790029 300__ $$a1 online resource. 000790029 336__ $$atext$$btxt$$2rdacontent 000790029 337__ $$acomputer$$bc$$2rdamedia 000790029 338__ $$aonline resource$$bcr$$2rdacarrier 000790029 4901_ $$aSpringerBriefs in electrical and computer engineering 000790029 504__ $$aIncludes bibliographical references. 000790029 5050_ $$aPreface; Contents; Acronyms; 1 Hierarchical Architecture for Distributed Energy Resource Management; 1.1 Introduction to DERs; 1.2 Research Challenges for Integrating DERs; 1.3 A Novel Hierarchical Architecture for DER Management; 1.4 Related Work; References; 2 Optimal Energy Management for Smart Homes; 2.1 System Model; 2.1.1 Renewable Energy Generation; 2.1.2 Energy Storage; 2.1.3 Electricity Market; 2.1.4 Control Objective; 2.2 Inelastic Energy Demand; 2.2.1 Relaxed Problem; 2.2.2 Our Proposed Algorithm; 2.2.3 Algorithmic Properties; 2.3 Elastic Energy Demand; 2.3.1 Relaxed Problem 000790029 5058_ $$a2.3.2 Delay-Aware Virtual Queue2.3.3 Our Proposed Algorithm; 2.3.4 Algorithmic Properties; 2.4 Performance Evaluation; 2.4.1 Simulation Setup; 2.4.2 Results and Analysis; Appendix; Proof of Theorem 2.1; Proof of Lemma 3.1; Proof of Theorem 2.2; References; 3 Decentralized Coordination of Energy Consumption for Smart Neighborhoods; 3.1 System Model; 3.1.1 Load Serving Entity; 3.1.2 Energy Loads; 3.1.3 Energy Storage; 3.1.4 Renewable Distributed Generation; 3.2 Problem Formulation; 3.3 Online Distributed Algorithm; 3.3.1 Relaxed Problem; 3.3.2 Delay-Aware Virtual Queue 000790029 5058_ $$a3.3.3 The Lyapunov Approach3.3.4 Distributed Algorithm; 3.4 Performance Analysis; 3.5 Performance Evaluation; 3.5.1 Simulation Setup; 3.5.2 Results and Analysis; Appendix; The Worst-case Delay for Buffered Elastic Loads; References; 4 Risk-Constrained Optimal Energy Management for SmartMicrogrids; 4.1 System Model; 4.1.1 Combined Heat and Power; 4.1.2 Deferrable Load; 4.1.3 Electrical and Thermal Storage; 4.1.4 Heat Supply and Balance; 4.1.4.1 Linearized Power Flow Equations; 4.1.4.2 Network Constraints; 4.1.5 Electricity Market; 4.2 Problem Formulation; 4.2.1 Conditional Value at Risk 000790029 5058_ $$a4.2.2 Objective Function4.3 Solution Approach; 4.4 Case Study; 4.4.1 Numerical Settings; 4.4.2 Simulation Results; 4.4.2.1 Stochastic Approach Versus Deterministic Approach; 4.4.2.2 Expected Operating Cost and CVaR; 4.4.2.3 Voltage Regulation Tests; 4.4.2.4 Sensitivity Analysis; References; 5 Conclusion; 5.1 Concluding Remarks; 5.2 Future Work 000790029 506__ $$aAccess limited to authorized users. 000790029 520__ $$aThis brief focuses on stochastic energy optimization for distributed energy resources in smart grids. Along with a review of drivers and recent developments towards distributed energy resources, this brief presents research challenges of integrating millions of distributed energy resources into the grid. The brief then proposes a novel three-level hierarchical architecture for effectively integrating distributed energy resources into smart grids. Under the proposed hierarchical architecture, distributed energy resource management algorithms at the three levels (i.e., smart home, smart neighborhood, and smart microgrid) are developed in this brief based on stochastic optimization that can handle the involved uncertainties in the system. 000790029 588__ $$aVendor-supplied metadata. 000790029 650_0 $$aComputer networks. 000790029 650_0 $$aSmart power grids. 000790029 650_0 $$aPower resources$$xManagement. 000790029 650_0 $$aComputer engineering. 000790029 7001_ $$aFang, Yuguang. 000790029 7001_ $$aKhargonekar, P.$$q(Pramod) 000790029 77608 $$iPrint version:$$z9783319595283$$z3319595288$$w(OCoLC)985082163 000790029 830_0 $$aSpringerBriefs in electrical and computer engineering. 000790029 852__ $$bebk 000790029 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-59529-0$$zOnline Access$$91397441.1 000790029 909CO $$ooai:library.usi.edu:790029$$pGLOBAL_SET 000790029 980__ $$aEBOOK 000790029 980__ $$aBIB 000790029 982__ $$aEbook 000790029 983__ $$aOnline 000790029 994__ $$a92$$bISE