LEADER 04344nam 22007095 450 001 9910647388203321 005 20251113193526.0 010 $a981-19-8594-4 024 7 $a10.1007/978-981-19-8594-2 035 $a(MiAaPQ)EBC7187120 035 $a(Au-PeEL)EBL7187120 035 $a(CKB)26068934200041 035 $a(DE-He213)978-981-19-8594-2 035 $a(PPN)267809190 035 $a(EXLCZ)9926068934200041 100 $a20230125d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDistributed Economic Operation in Smart Grid: Model-Based and Model-Free Perspectives /$fby Jiahu Qin, Yanni Wan, Fangyuan Li, Yu Kang, Weiming Fu 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (246 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v455 311 08$aPrint version: Qin, Jiahu Distributed Economic Operation in Smart Grid: Model-Based and Model-Free Perspectives Singapore : Springer,c2023 9789811985935 320 $aIncludes bibliographical references. 327 $aIntroduction -- Preliminaries -- Model-Based Distributed Optimization -- Model-Free Distributed Optimization -- Extensions to PEVs Charging/Discharging Scheduling. 330 $aThis book aims to work out the distributed economic operation in smart grids in a systematic way, which ranges from model-based to model-free perspectives. The main contributions of this book can be summarized into three folds. First, we investigate the fundamental economic operation problems in smart grids from model-based perspective. Specifically, these problems can be modeled as deterministic optimization models, and we propose some distributed optimization algorithms by integrating the multi-agent consensus theory and optimization techniques to achieve the distributed coordination of various generation units and loads. Second, due to the randomness of the large-scale renewable energies and the flexibility of the loads, we further address these economic operation problems from a model-free perspective, and we propose learning-based approaches to address the uncertainty and randomness. At last, we extend the idea of model-based and model-free algorithms to plug-in electric vehicles(PEVs) charging/discharging scheduling problem, the key challenge of which involves multiple objectives simultaneously while the behavior of PEVs and the electricity price are intrinsically random. This book presents several recent theoretical findings on distributed economic operation in smart grids from model-based and model-free perspectives. By systematically integrating novel ideas, fresh insights, and rigorous results, this book provides a base for further theoretical research on distributed economic operation in smart grids. It can be a reference for graduates and researchers to study the operation and management in smart grids. Some prerequisites for reading this book include optimization theory, matrix theory, game theory, reinforcement learning, etc. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v455 606 $aElectric power distribution 606 $aMathematical optimization 606 $aVehicles 606 $aProbabilities 606 $aGraph theory 606 $aElectronics 606 $aEnergy Grids and Networks 606 $aOptimization 606 $aVehicle Engineering 606 $aGraph Theory in Probability 606 $aElectronics and Microelectronics, Instrumentation 615 0$aElectric power distribution. 615 0$aMathematical optimization. 615 0$aVehicles. 615 0$aProbabilities. 615 0$aGraph theory. 615 0$aElectronics. 615 14$aEnergy Grids and Networks. 615 24$aOptimization. 615 24$aVehicle Engineering. 615 24$aGraph Theory in Probability. 615 24$aElectronics and Microelectronics, Instrumentation. 676 $a605 700 $aWan$b Yanni$01277092 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910647388203321 996 $aDistributed economic operation in smart grid$93364025 997 $aUNINA