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Article

Modelling the RES Balanced Integration in Forecasting the Power System’s Long-Term Development

1
Department of Forecasting the Electric Power Complex Development, General Energy Institute of National Academy of Sciences of Ukraine, 03150 Kyiv, Ukraine
2
International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria
3
Green Technology Research Center, Yuan Ze University, Taoyuan 320, Taiwan
*
Author to whom correspondence should be addressed.
Forecasting 2026, 8(4), 64; https://doi.org/10.3390/forecast8040064
Submission received: 1 June 2026 / Revised: 20 July 2026 / Accepted: 23 July 2026 / Published: 27 July 2026

Abstract

The growing integration of variable renewable energy sources (VRES) challenges power system flexibility and may cause curtailment due to excess capacity, grid constraints, or operational and market factors. Power-to-Heat (PtH) technology can mitigate these issues by coupling electricity and district heating sectors, providing additional flexibility and supporting decarbonisation. This study develops a long-term generation capacity expansion model that integrates PtH and district heating system (DHS) operation to achieve balanced VRES penetration. The model includes DHS heat demand balances and links electricity and heat via thermal power plants, combined heat and power (CHP) plants, and PtH units. The methodology is applied to Ukraine’s Integrated Power System and district heating demand through 2040, employing typical daily load profiles discretised into six four-hour segments. Results demonstrate the feasibility of deploying PtH electric boilers during the non-heating season, when high RES and base load nuclear generation create surplus electricity. These boilers convert excess wind and solar power into thermal energy for district heating, displacing natural gas-fired technologies and simultaneously decarbonising electricity and heat supply.
Keywords: variable renewable energy sources; curtailment; sectoral coupling; energy balances; long-term forecasting model; power system; district heating system; Power-to-Heat technology variable renewable energy sources; curtailment; sectoral coupling; energy balances; long-term forecasting model; power system; district heating system; Power-to-Heat technology

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MDPI and ACS Style

Nechaieva, T.; Derii, V.; Zaporozhets, A.; Denysov, V. Modelling the RES Balanced Integration in Forecasting the Power System’s Long-Term Development. Forecasting 2026, 8, 64. https://doi.org/10.3390/forecast8040064

AMA Style

Nechaieva T, Derii V, Zaporozhets A, Denysov V. Modelling the RES Balanced Integration in Forecasting the Power System’s Long-Term Development. Forecasting. 2026; 8(4):64. https://doi.org/10.3390/forecast8040064

Chicago/Turabian Style

Nechaieva, Tetiana, Volodymyr Derii, Artur Zaporozhets, and Viktor Denysov. 2026. "Modelling the RES Balanced Integration in Forecasting the Power System’s Long-Term Development" Forecasting 8, no. 4: 64. https://doi.org/10.3390/forecast8040064

APA Style

Nechaieva, T., Derii, V., Zaporozhets, A., & Denysov, V. (2026). Modelling the RES Balanced Integration in Forecasting the Power System’s Long-Term Development. Forecasting, 8(4), 64. https://doi.org/10.3390/forecast8040064

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