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基于风电-碳捕集电力系统的灵活性调峰策略 被引量:5

Flexible peak shaving strategy of power system based on wind power-carbon capture
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摘要 高比例风电并网增大了电力系统调峰负担,因此亟需提高电力系统调峰灵活性,助力新型电力系统低碳-零碳化的发展。分析碳捕集电厂优良的调峰性能及其用于调峰辅助服务的必要性,并论证碳捕集电厂低碳特性在碳交易中发挥的积极作用,由此提出碳捕集电厂灵活性调峰的运行策略,并阐述所提策略的低碳性与经济性。构建以电力系统综合成本最优为目标的风电-碳捕集调度模型,并基于此模型对比不同灵活运行方式下碳捕集电厂的低碳性能与经济效益。最后,在改进的IEEE 39节点系统中进行仿真,结果验证了所提模型可有效协调调峰资源,在满足电力系统调峰需求的同时降低系统的碳排水平与运行成本。 The high proportion of grid-connected wind power increases the burden of peak shaving in the power system.Therefore,it is urgent to improve the flexibility of peak shaving in the power system and assist the low-carbon and zero-carbon development in the new power system.The excellent peak shaving performance of carbon capture power plant and the necessity of using it for peak shaving auxiliary services are analyzed,and the positive role of low-carbon characteristics of carbon capture power plant in carbon trading is demonstrated.Therefore,the flexible peak shaving operation strategy of carbon capture power plant is put forward,and the low-carbon and economy of the proposed strategy are expounded.The wind power-carbon capture dispatching model aiming at the optimal comprehensive cost of power system is con⁃structed,and based on this model,the low-carbon performance and economic benefits of carbon capture power plants under different flexible operation modes are compared.Finally,the simulative results of the improved IEEE 39-bus system verify that the proposed model can effectively coordinate the peak shaving resources,satisfy the peak shaving demand of the power system,and meanwhile reduce the carbon emission level and operation cost of system.
作者 崔杨 张聪 张璐 赵钰婷 施浩波 刘新元 CUI Yang;ZHANG Cong;ZHANG Lu;ZHAO Yuting;SHI Haobo;LIU Xinyuan(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education,Northeast Electric Power University,Jilin 132012,China;College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China;China Electric Power Research Institute,Beijing 100192,China;State Grid Shanxi Electric Power Research Institute,Taiyuan 030012,China)
出处 《电力自动化设备》 EI CSCD 北大核心 2023年第6期10-17,45,共9页 Electric Power Automation Equipment
基金 现代电力系统仿真控制与绿色电能新技术教育部重点实验室开放课题(MPSS2021-09) 国家自然科学基金资助项目(51777027)。
关键词 碳捕集电厂 风电 调峰 灵活性 经济调度 低碳 carbon capture power plant wind power peak shaving flexibility economic dispatching low-carbon
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