04158nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001600153072001600169072002300185072001500208245020700223250001800430264006900448300006700517336002600584337002600610338003600636347002400672490006400696505073300760520112501493650003102618650002802649650003302677650003402710650004302744650003102787700008202818700007902900700008202979700007503061700007803136700014803214710003403362773002603396776003603422776003603458776003603494830006403530856004603594978-3-031-44772-3DE-He21320251030112304.0cr nn 008mamaa231121s2024    sz |    s    |||| 0|eng d  a97830314477237 a10.1007/978-3-031-44772-32doi 4aTK1001-1841 7aTHR2bicssc 7aTEC0310202bisacsh 7aTHR2thema10aPower Systems Research and Operationh[electronic resource] :bSelected Problems III /cedited by Olexandr Kyrylenko, Serhii Denysiuk, Ryszard Strzelecki, Ihor Blinov, Ievgen Zaitsev, Artur Zaporozhets.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXII, 371 p. 175 illus., 117 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aStudies in Systems, Decision and Control,x2198-4190 ;v5120 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.  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. 0aElectric power production. 0aElectrical engineering. 0aElectric power distribution.14aElectrical Power Engineering.24aElectrical and Electronic Engineering.24aEnergy Grids and Networks.1 aKyrylenko, Olexandr.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aDenysiuk, Serhii.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aStrzelecki, Ryszard.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aBlinov, Ihor.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aZaitsev, Ievgen.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aZaporozhets, Artur.eeditor.0(orcid)0000-0002-0704-41161https://orcid.org/0000-0002-0704-41164edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303144771608iPrinted edition:z978303144773008iPrinted edition:z9783031447747 0aStudies in Systems, Decision and Control,x2198-4190 ;v51240uhttps://doi.org/10.1007/978-3-031-44772-3