TWO-STAGE SCHEDULING STRATEGY FOR HIGH-SPEED RAILWAY STATIONS INCORPORATING THERMOSTATICALLY CONTROLLED LOADS IN GREEN ENERGY TRADING SCENARIO

Chen Wenying; Liu Yang; Liu Weiliang; Zhang Xiaolei; Wang Xin; Kang Jiayao

doi:10.19912/j.0254-0096.tynxb.2023-1529

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (1) : 547-556. DOI: 10.19912/j.0254-0096.tynxb.2023-1529

TWO-STAGE SCHEDULING STRATEGY FOR HIGH-SPEED RAILWAY STATIONS INCORPORATING THERMOSTATICALLY CONTROLLED LOADS IN GREEN ENERGY TRADING SCENARIO

Chen Wenying^1,2, Liu Yang¹, Liu Weiliang^1,2, Zhang Xiaolei¹, Wang Xin³, Kang Jiayao³

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Abstract

A two-stage energy optimization scheduling strategy is proposed for high-speed railway stations in the green electricity trading scenario, considering the uncertainty of clean energy output and the volatility of loads. The strategy incorporates thermostatically controlled loads. Firstly, a load model that captures the characteristics of high-speed railway stations is established based on the principle of thermal power balance and incorporates the thermostatically controlled system into the two-stage scheduling. Secondly, the probability correlation between random variable errors is described using a multivariate normal distribution. The Monte Carlo method and scenario reduction method based on probability distance are then used to generate typical scenarios for green electricity, photovoltaic power generation, and loads throughout the day at high-speed railway stations. Model predictive control is applied to achieve rolling optimization scheduling of the electricity system at high-speed railway stations using these typical scenarios. Finally, a case study is conducted at a specific high-speed railway station under typical seasonal conditions to analyze the scheduling results with the incorporation of the thermostatically controlled load model. This analysis aims to verify the advantages of the proposed model in improving the economic operation of high-speed railway stations, accommodating new energy sources, and assessing the robustness of the two-stage scheduling strategy.

Key words

clean energy / demand response / Monte Carlo methods / green power transaction / thermostatically controlled loads / stochastic model predictive control

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Chen Wenying, Liu Yang, Liu Weiliang, Zhang Xiaolei, Wang Xin, Kang Jiayao. TWO-STAGE SCHEDULING STRATEGY FOR HIGH-SPEED RAILWAY STATIONS INCORPORATING THERMOSTATICALLY CONTROLLED LOADS IN GREEN ENERGY TRADING SCENARIO[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 547-556 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1529

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