绿电交易场景下计及温控负荷的高铁站两阶段调度策略

陈文颖; 刘洋; 刘卫亮; 张晓雷; 王昕; 康佳垚

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

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (1) : 547-556. DOI: 10.19912/j.0254-0096.tynxb.2023-1529

绿电交易场景下计及温控负荷的高铁站两阶段调度策略

陈文颖^1,2, 刘洋¹, 刘卫亮^1,2, 张晓雷¹, 王昕³, 康佳垚³

作者信息 +

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

Author information +

文章历史 +

摘要

考虑绿电交易场景下清洁能源出力的不确定性和负载的波动性,基于随机模型预测控制提出一种计及温控负荷的高铁站两阶段能量优化调度策略。首先,根据热功率平衡原理,建立符合高铁站特性的温控负荷模型,并引入此温控系统参与高铁站两阶段调度;其次,应用多元正态分布描述随机变量误差间的概率相关性,采用蒙特卡洛抽样和基于概率距离的场景快速削减方法生成高铁站日内绿电、光伏和负荷的典型场景,基于模型预测控制应用典型场景对日内高铁站用电系统进行滚动优化调度;最后以某高铁站为算例,分析典型季节下引入此温控模型的调度结果,验证所提模型在改善高铁站经济运行、新能源消纳等方面的优势及所提两阶段调度策略的鲁棒性。

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.

导出引用

陈文颖, 刘洋, 刘卫亮, 张晓雷, 王昕, 康佳垚. 绿电交易场景下计及温控负荷的高铁站两阶段调度策略[J]. 太阳能学报. 2025, 46(1): 547-556 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1529

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

中图分类号： TK01+9

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