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碳流排放追踪下的电力系统源荷多时间尺度节能调度方法

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为促进电力系统运行过程中的节能减排,提出碳流排放追踪下的电力系统源荷多时间尺度节能调度方法.分析碳流排放追踪下电力系统固定运行模式与灵活运行模式,通过灵活运行模式调节碳捕集设备的捕获水平,基于碳流排放追踪下电力系统的各运行模式,构建日前-日内-实时多时间尺度节能调度模型.该模型以电力系统成本最优为各时间尺度调度模型的目标函数,并设定约束条件;采用改进的多目标粒子群算法或标准粒子群算法,逐级求解所构建的多时间尺度调度模型,完成多时间尺度节能调度.实验结果显示,在不同运行场景下,该方法能基于电力系统源荷可调节的资源调度优势,实现电力系统节能、减碳的调度目标.
A Source-Load Multi-Timescale Energy-Saving Scheduling Approach for Power Systems Under Carbon Flow Emission Tracking
To promote energy saving and emission reduction during power system operation, the source-load multi-timescale energy-saving scheduling approach of power systems under carbon flow emission tracking is proposed. The fixed operation mode and the flexible operation mode of power systems under carbon flow emission tracking are analysed, and the capture level of the carbon capture equipment is adjusted through the flexible operation mode. Based on the operation modes of power systems under carbon flow emission tracking, a multi-timescale energy-saving scheduling model with pre-daily, intraday, and real-time timescale is constructed. The objective function of the scheduling model is the optimal cost of power systems, and the constraints are set. The improved multi-objective particle swarm algorithm or the standard particle swarm algorithm is adopted to solve the constructed multi-timescale scheduling model step by step, and the multi-timescale energy-saving scheduling is completed. The experimental results show that the method can effectively achieve the energy-saving and carbon reduction scheduling objectives of power systems based on resource scheduling advantages of power system source-load adjustability under different operating scenarios.

carbon flow emission trackingmulti-timescaleenergy-saving schedulingday-ahead schedulingreal-time scheduling

杨鹏、唐人、吴君

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浙江华云电力工程设计咨询有限公司,浙江省 杭州市 310000

碳流排放追踪 多时间尺度 节能调度 日前调度 实时调度

2024

分布式能源
中国大唐集团科学技术研究院有限公司,清华大学出版社有限公司

分布式能源

CSTPCD
ISSN:2096-2185
年,卷(期):2024.9(2)
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