含整体煤气化燃料电池-碳捕集电厂的风火储系统分布鲁棒调度方法
Distributionally Robust Dispatch for Wind-thermal-energy Storage System With Integrated Gasification Fuel Cell-carbon Capture Plant
王骞 1张学广 1朱玲 2徐殿国1
作者信息
- 1. 哈尔滨工业大学电气工程及自动化学院,黑龙江省 哈尔滨市 150001
- 2. 南瑞集团有限公司(国网电力科学研究院有限公司),江苏省 南京市 211106
- 折叠
摘要
整体煤气化燃料电池(integrated gasification fuel cell,IGFC)是与碳捕集技术高度适配的清洁、高效、稳定的绿色煤电技术,有望克服传统碳捕集技术在低浓度 CO2 环境下产生的高成本、高能耗问题.该文构建含IGFC碳捕集电厂的风火储发电系统.研究IGFC碳捕集电厂的运行机理,对IGFC内部各环节建立数学模型,提出工况匹配时燃烧利用率和阴极空气利用率需要满足的运行条件,并针对该型碳捕集电厂的电碳特性进行分析.为计及风电出力的不确定性,构建风火储系统的两阶段分布鲁棒经济调度模型,引入 k阶适应性理论,提出基于正交支撑子集策略的求解方法来获得鲁棒对等式.最后,在改进IEEE-30节点系统中进行算例分析,结果表明,该型碳捕集电厂可利用阳极碳富集的优势,实现系统低碳经济调度的目标,并验证所提优化方法能为可行解提供可解释性.
Abstract
Integrated gasification fuel cell(IGFC)is an efficient,clean,and stable green coal-fired power technology highly compatible with carbon capture system(CCS).It is expected to overcome the high cost and high energy consumption of low-concentration CO2 under the traditional CCS.In this paper,a wind-thermal-energy storage power system with IGFC-CCS is constructed;the operation mechanism of IGFC-CCS is studied;the mathematical model of each link in IGFC is established;and the operation conditions of the combustion utilization rate and cathode air utilization rate are analyzed.The electricity-carbon characteristics of IGFC-CCS are analyzed.To consider the uncertainty of wind power,a two-stage distributionally robust optimization is proposed for economic dispatch.The k-adaptability theory is introduced,and a solution based on the orthant support subset strategy is proposed to obtain a robust counterpart.Finally,case studies are carried out in the modified IEEE-30 node system.The results show that the IGFC-CCS can use anode carbon enrichment to achieve low-carbon economic dispatch,verifying that the proposed optimization method can improve the interpretability of the feasible solution.
关键词
整体煤气化燃料电池(IGFC)/碳捕集电厂/风火储系统/经济调度/分布鲁棒优化/有限适应性理论Key words
integrated gasification fuel cell(IGFC)/carbon capture plant/wind-thermal-energy storage power system/economic dispatch/distributionally robust optimization/finite adaptability theory引用本文复制引用
基金项目
国家自然科学基金项目(51977046)
南瑞集团智能电网保护和运行控制国家重点实验室开放课题(SGTYHT/20-JS-221)
出版年
2024
国家科技期刊平台
NSTL
万方数据