LEADER 04063nam 22006255 450 001 9910766882203321 005 20231121182737.0 010 $a3-031-44772-7 024 7 $a10.1007/978-3-031-44772-3 035 $a(MiAaPQ)EBC30963214 035 $a(Au-PeEL)EBL30963214 035 $a(DE-He213)978-3-031-44772-3 035 $a(CKB)29021570900041 035 $a(EXLCZ)9929021570900041 100 $a20231121d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPower Systems Research and Operation $eSelected Problems III /$fedited by Olexandr Kyrylenko, Serhii Denysiuk, Ryszard Strzelecki, Ihor Blinov, Ievgen Zaitsev, Artur Zaporozhets 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (376 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v512 311 08$aPrint version: Kyrylenko, Olexandr Power Systems Research and Operation Cham : Springer,c2023 327 $aDevelopment and Utilization of a Quasi-Dynamic Model for Power System Analysis -- On Effective Use?s Ensuring of High-Voltage Electrical Networks under Non-Full Phase Operational Conditions -- Constrained Multi-Criteria Optimization of the Hydroelectric Power Plant Schedule for Participation in the Day-Ahead Market of Ukraine -- Analysis of Global Trends in the Development of Energy Storage Systems and Prospects for Their Implementation in Ukraine -- Short-Term Forecasting of Imbalances in the IPS of Ukraine -- Air-Gap Sensors for Hydro Generators and Techniques for Air-Gap Eccentricity Fault Detection and Estimation -- Voltage Control in Electrical Grids with Virtual Power Plants with Variable Load on PV Generation. 330 $aThis book covers new technologies and methods related to models for short-term forecasting of electricity imbalances in the IPS of Ukraine, taking into account the impact of forecasts of energy production from renewable sources on the accuracy of the imbalance forecast. The book proposed architecture and mathematical model of an artificial neural network for deep learning forecasting of short-term electricity imbalances using hourly data. Using a model to aggregate data with an hourly resolution followed by forecasting to reduce forecast error, the quasi-dynamic modeling method was used to analyze the impact of periodic generation on the network. The application of quasi-dynamic modeling also allows taking into account the system load curve, generation profile, storage system, as well as renewable energy sources (RES) operation in this area. The use of models makes it possible to achieve realistic estimates of generation for the required period. The book considers a local hybrid renewable energy system (HRES) based on different types of RES, which is more efficient than a system with one type of source. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v512 606 $aElectric power production 606 $aElectrical engineering 606 $aElectric power distribution 606 $aElectrical Power Engineering 606 $aElectrical and Electronic Engineering 606 $aEnergy Grids and Networks 615 0$aElectric power production. 615 0$aElectrical engineering. 615 0$aElectric power distribution. 615 14$aElectrical Power Engineering. 615 24$aElectrical and Electronic Engineering. 615 24$aEnergy Grids and Networks. 676 $a621.31 700 $aKyrylenko$b Olexandr$01450608 701 $aDenysiuk$b Serhii$01450609 701 $aStrzelecki$b Ryszard$01327834 701 $aBlinov$b Ihor$01450610 701 $aZaitsev$b Ievgen$01450611 701 $aZaporozhets$b Artur$01437508 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910766882203321 996 $aPower Systems Research and Operation$93650093 997 $aUNINA