现代电力2024，Vol.41Issue(2)：326-334,9.DOI:10.19725/j.cnki.1007-2322.2022.0246
基于火电灵活性改造的可再生能源消纳系统成本优化
Cost Optimization of Renewable Energy Accomodation System Based on Flexibility Renovation of Thermal Power Units
摘要
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 con-sider 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 es-tablished,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,wheth-er 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 renew-able energy permeability with the cost of accommodation sys-tem was obtained by fitting,thus the effectiveness of the estab-lished model is verified.关键词
火电机组/灵活性改造/风电消纳/系统成本/优化调度Key words
thermal power units/flexibility renovation/wind power accommodation/system cost/optimized dis-patching分类
信息技术与安全科学引用本文复制引用
赵振宇,郝宇霞..基于火电灵活性改造的可再生能源消纳系统成本优化[J].现代电力,2024,41(2):326-334,9.基金项目
国家电网有限公司科技项目(4000-202057046A-0-0-00)Project Supported by Science and Technology Project of State Grid Corporation of China(4000-202057046A-0-0-00) （4000-202057046A-0-0-00）
