LEADER 04198nam 22005895 450 001 9910747598903321 005 20231007073802.0 010 $a981-9967-58-9 024 7 $a10.1007/978-981-99-6758-2 035 $a(MiAaPQ)EBC30775408 035 $a(Au-PeEL)EBL30775408 035 $a(DE-He213)978-981-99-6758-2 035 $a(PPN)272914533 035 $a(CKB)28477902100041 035 $a(EXLCZ)9928477902100041 100 $a20231007d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSmart Power Distribution Network $eSituation Awareness, Planning, and Operation /$fby Leijiao Ge, Yuanzheng Li 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (245 pages) 225 1 $aPower Systems,$x1860-4676 311 08$aPrint version: Ge, Leijiao Smart Power Distribution Network Singapore : Springer,c2023 9789819967575 327 $aChapter 1. System overview -- Chapter 2. Smart distribution power network situation awareness -- Chapter 3. Photovoltaic prediction, virtual collection -- Chapter 4. Multi-energy load forecasting of integrated energy system -- Chapter 5. Optimal planning of energy storage considering uncertainty of load and wind generation -- Chapter 6. Energy supplying facilities planning for electric vehicles -- Chapter 7. Multiple equipment planning for integrated energy system -- Chapter 8. ay-ahead risk averse market clearing considering demand response -- Chapter 9. Optimal operation via cooperative energy and reserve scheduling -- Chapter 10. Optimal interaction strategy for vehicle-to-grid -- Chapter 11. Concluding remarks. 330 $aThe surge in renewable and distributed energy sources has posed significant challenges for smart power distribution network (SPDN). These challenges fall into two main categories: the unpredictability of renewable energy sources and the complexities introduced by numerous electrical devices and their interdependencies, affecting forecasting and operational performance. As the emphasis on SPDN's economic and environmental aspects grows, this book focuses on the vital themes of sustainability and cost-efficiency in SPDN forecasting, planning, and operation. It is structured into three key parts: 1. SPDN Situation Awareness: This section assesses prior research methods, analyzes their shortcomings while dissecting SPDN's unique situation awareness characteristics. Then, some forecast and virtual collection methods are presented. 2. Boosting SPDN Planning: Addressing optimal planning challenges in SPDN, this part introduces advanced modelling and algorithm solving techniques, tailored to mitigate SPDN's inherent uncertainty. 3. Enhancing SPDN Operation: Considering a variety of equipment types and controllable loads, this section explores strategies to boost SPDN operational performance. It covers control methodologies for electric vehicles, flexible loads, energy storage, and related equipments, etc. Tailored for university researchers, engineers, and graduate students in electrical engineering and computer science, this book is a valuable resource for comprehending SPDN's situation awareness, planning, and operation intricacies in the context of sustainability and economic efficiency. 410 0$aPower Systems,$x1860-4676 606 $aElectric power distribution 606 $aControl engineering 606 $aMachine learning 606 $aEnergy Grids and Networks 606 $aControl and Systems Theory 606 $aMachine Learning 615 0$aElectric power distribution. 615 0$aControl engineering. 615 0$aMachine learning. 615 14$aEnergy Grids and Networks. 615 24$aControl and Systems Theory. 615 24$aMachine Learning. 676 $a321.319 700 $aGe$b Leijiao$01297583 701 $aLi$b Yuanzheng$01370159 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910747598903321 996 $aSmart Power Distribution Network$93574695 997 $aUNINA