20.500.12556/RUL-170085 Optimizacija odjema glede na cene električne energije na trgu za dan vnaprej Optimization of electricity demand based on electricity prices on day-ahead market Z naraščajočim deležem obnovljivih virov energije postaja elektroenergetski sistem vse bolj nestanoviten, kar se odraža v povečanih cenovnih nihanjih na trgu z električno energijo. Takšne razmere spodbujajo razvoj metod za prilagajanje porabe, zlasti pri večjih gospodinjskih porabnikih, kot so toplotne črpalke. V magistrskem delu predstavljamo celovit pristop k optimizaciji delovanja ogrevalnega sistema s toplotno črpalko glede na cene električne energije na trgu za dan vnaprej. Razvili smo inovativno metodo za identifikacijo parametrov sistema na podlagi zgodovinskih podatkov obratovanja - brez potrebe po dodatnih meritvah na terenu. Uporabljen model temelji na fizikalnem opisu sistema in se bistveno razlikuje od principa črne škatle, saj je interpretabilen in omogoča razumevanje vedenja sistema. Z njegovo uporabo smo optimizirali stroške delovanja toplotne črpalke, ob tem pa ohranili nespremenjeno raven bivalnega udobja. Toplotno kapaciteto stavbe smo izkoristili za premik porabe električne energije v časovna obdobja z nižjimi cenami, s čimer ogrevalni sistem postane prilagodljiv porabnik v pametnem omrežju. Rešitev smo validirali na podatkih celotne ogrevalne sezone in dosegli prihranke med 15 in 25 %. Predlagani pristop omogoča stroškovno učinkovito in uporabniku prijazno upravljanje energije in je primeren za integracijo v obstoječe krmilne sisteme. With the increasing share of renewable energy sources, the electrical power system is becoming more volatile, resulting in significant price fluctuations in the electricity market. Such conditions encourage the development of demand-side flexibility methods, particularly for large residential consumers such as heat pumps. This master's thesis presents a comprehensive approach to optimize the operation of a heat pump-based heating system in response to day-ahead electricity market prices. An innovative method was developed to identify system parameters solely from the historical operational data, eliminating the need for additional on-site measurements. Unlike black-box models, the employed model is based on a physical representation of the system, offering interpretability and insights into system behavior. Using this model, the operating cost of the heat pump was optimized while maintaining living comfort. By leveraging the building’s thermal capacity, electricity consumption was shifted to periods with lower prices, effectively turning the heating system into a flexible load within a smart grid. Validation with data from an entire heating season showed energy cost savings of between 15 and 25 %. The proposed solution is cost-effective, user-friendly, and well-suited for integration into existing control systems. trgi z električno energijo pametna omrežja identifikacija parametrov optimizacija odjema linearno programiranje toplotne črpalke electricity markets smart grids parameter identification load optimization linear programming heat pumps true false false Slovenski jezik Angleški jezik Magistrsko delo/naloga 2025-07-02 12:58:07 2025-07-02 12:58:08 2025-07-03 13:46:43 0000-00-00 00:00:00 2025 0 0 XXII, 74 str. 2025 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 2026-06-23 620.9:621.577:519.852(043.2) 271141 241306371 39104.pdf 39104.pdf 1 2CE75D04A617323763BA0D02CEEF8F25 4ff628f82f9dd858030c06239e4348d03c6d57fa1855d751100d051a61313716 8aece587-5731-11f0-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=212009 Fakulteta za strojništvo 0 0 0