Day-ahead stochastic scheduling of integrated electricity and heat system considering reserve provision by large-scale heat pumps

Menglin Zhang, Qiuwei Wu, Jinyu Wen, Bo Zhou, Qinyue Guan, Jin Tan, Zhongwei Lin and Fang Fang

Applied Energy, 2022, vol. 307, issue C, No S0306261921014197

Abstract: Integrating power and heat sectors can increase the flexibility of wind power integration. Power-to-heat devices powered by renewables can promote the electrification and decarbonization of the heat sector. This paper explores the feasibility and benefits of using large-scale heat pumps for reserve provision. A two-stage stochastic optimization model is proposed for the day-ahead centralized scheduling of the integrated electricity and heat system considering wind power uncertainties, with reserve provision of large-scale heat pumps, combined heat and power units, and thermal power units. The model co-optimizes energy, following reserve, regulating reserve, and heat regulation to handle wind power uncertainties. To reduce the computational complexity of the scenario-based stochastic optimization problem, inactive transmission line constraints are identified and removed based on an analytical calculation method, which considers the influence of power consumption of large-scale heat pumps on the power flow of transmission lines. The benefits of using reserves from large-scale heat pumps are tested on the modified IEEE-118 bus integrated electricity and heat system. The simulation results show that using large-scale heat pumps to provide the following reserve and regulating reserve show similar impacts on saving cost and reducing wind energy curtailment, and the acceleration algorithm can save computation time by approximately 64%.

Keywords: Large-scale heat pumps; Inactive constraint identification; Integrated electricity and heat system; Power-to-heat; Reserve provision; Stochastic optimization (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (9)

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DOI: 10.1016/j.apenergy.2021.118143

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