基于火电灵活性改造的可再生能源消纳系统成本优化
摘要：随着风电等可再生能源的大规模发展，带来了消纳难等新挑战，通过火电灵活性改造可以增强电力系统灵活调节能力、提升可再生能源消纳空间，同时需要考虑火电灵活性改造的经济性和对可再生能源消纳的影响。因此，综合考虑火电机组常规运行成本及灵活性改造后增加的各项成本，结合碳排放成本和弃风成本，建立以总成本最小为目标的火电灵活性改造前后优化调度模型，采用对比差值法计算基于火电灵活性改造的可再生能源消纳系统成本。通过算例，将所建模型应用于对比改造前后、不同碳排放强度、是否考虑弃风等不同方案下的机组运行状况及消纳系统成本大小，并拟合得到可再生能源渗透率和消纳系统成本的关系曲线，验证了模型的有效性。
Abstract:The large-scale development of renewable energy such as wind power and so on brings new challenges such as the difficulty of accommodation, etc., through the renovation of thermal power flexibility the flexible adjustment capability of power grid can be enhanced and the accommodation space of renewable energy can be elevated, meanwhile it needs to consider the economy of thermal power flexibility renovation and its influence on the accommodation of renewable energy. Therefore comprehensively considering conventional operating cost of thermal power units and all the increased costs after the flexibility renovation and combining with the carbon emission cost and wind curtailment cost, an optimal dispatching model before and after the renovation of thermal power flexibility, in which the minimized total cost was taken as the object, was established, and by use of comparison difference method the cost of the renewable energy accommodation system based on the renovation of thermal power flexibility was calculated. In the computing example, the established model was applied to such unit operating conditions as before and after the flexibility renovation, under different carbon emission intensities, whether considering the unit operating conditions under different schemes such as wind curtailment and so on and the cost size of accommodation system, and the relation curve of the renewable energy permeability with the cost of accommodation system was obtained by fitting, thus the effectiveness of the established model is verified.
标题：基于火电灵活性改造的可再生能源消纳系统成本优化
英文标题：Cost Optimization of Renewable Energy Accomodation System Based on Flexibility Renovation of Thermal Power Units
作者：赵振宇, 郝宇霞,
关键词：火电机组, 灵活性改造, 风电消纳, 系统成本, 优化调度<sup> </sup>,
发表日期：2024-04-10
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