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新型电力系统灵活性资源提升效益评估

Evaluation of flexibility enhancement benefits for the new power system
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摘要 不同风光渗透率下的灵活性资源精细化评估有助于明确新型电力系统灵活性提升阶段性重点任务。基于多时间尺度时序运行模拟模型,细化系统灵活性提升的成本构成,量化评估单一灵活性资源在新型电力系统构建的不同阶段下对于新能源消纳的促进效果及系统运行成本差异。研究发现,现阶段低风光渗透率下,煤电灵活性改造和抽水蓄能分别在经济性和新能源消纳方面表现更突出。未来高风光渗透率下,煤电灵活性改造逐渐丧失了成本优势,气电的调节效果和经济性得到更好的体现,电化学储能和抽水蓄能对于新型电力系统灵活性提升效益最佳。因此,现阶段电力系统灵活性提升的重点为煤电灵活性改造和抽水蓄能部署,以气电作为过渡资源的同时推进储能规模化部署。 The refined evaluation of flexibility resources under different permeability of wind power and photovoltaics contribute to clarifying the key phased tasks of the new power system flexibility enhancement.Based on the multi-time scale time chronological operation simulation model,the cost composition of power system flexibility enhancement was refined,and the new energy consumption promotion effect and system operating cost difference of a single flexible resource were quantitatively evaluated at different stages of new power system construction.The results show that the flexible transformation of coal power and pumped storage are more prominent in terms of economy and new energy consumption,respectively under low permeability of wind power and photovoltaics,at the present stage.In the future,under high wind power and photovoltaic permeability,the flexible transformation of coal power gradually loses its cost advantage,and the regulating efficiency and economy of gas power are better reflected,electrochemical energy storage and pumped storage have the best benefit for improving new power system flexibility.Therefore,at the present stage,the focus of the power system flexibility enhancement is the flexible transformation of coal power and pumped storage deployment,to promote the large-scale deployment of energy storage while using the gas power as transitional resources.
作者 张凯 袁家海 丁保迪 张健 张浩楠 ZHANG Kai;YUAN Jia-Hai;DING Bao-Di;ZHANG Jian;ZHANG Hao-Nan(School of Economics and Management,North China Electric Power University,Beijing 102206,China;Power System Carbon Neutralization Research Center,China Electric Power Research Institute,Beijing 100192,China;School of Economics and Management,North China Electric Power University(Baoding),Baoding 071003,China)
出处 《气候变化研究进展》 CSCD 北大核心 2024年第3期316-326,共11页 Climate Change Research
基金 国家自然科学基金面上项目(72173043) 国家自然科学基金青年基金项目(72303064) 教育部人文社会科学研究后期资助项目(22JHQ096)。
关键词 新型电力系统 灵活性 多时间尺度 系统灵活性提升效益 New power system Flexibility Multi-time scales Power system flexibility enhancement benefits
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  • 1丁明,吴义纯,张立军.风电场风速概率分布参数计算方法的研究[J].中国电机工程学报,2005,25(10):107-110. 被引量:221
  • 2杨秀媛,肖洋,陈树勇.风电场风速和发电功率预测研究[J].中国电机工程学报,2005,25(11):1-5. 被引量:585
  • 3金华征,程浩忠,杨晓梅,王旭.基于联系数模型的电网灵活规划方法[J].中国电机工程学报,2006,26(12):16-20. 被引量:25
  • 4Mark L A, Robert M Z. The role of wind forecasting in grid operations & reliability[C]. IEEE/PES Transmission and Distribution Conference & Exhibition: Asia and Pacific, Dalian, China, 2005.
  • 5Chen Z, Blaabjerg F. Wind farm: a power source in future power systems[J]. Renewable and Sustainable Energy Reviews, 2009(13): 1288-1300.
  • 6Riahy G H, Abedi M. Short term wind speed forecasting for wind turbine applications using linear prediction method[J]. Renewable Energy, 2008(33): 35-41.
  • 7Alexiadis M C, Dokopoulos P S, Sahsamanoglou H S, et al. Short-term forecasting of wind speed and related electrical power[J]. Solar Energy, 1998, 63(1): 61-68.
  • 8Ma Lei, Luan Shiyan, Jiang Chuanwen, et al. A review on the forecasting of wind speed and generated power[J]. Renewable and Sustainable EnergyReviews, 2009(13): 915-920.
  • 9Thanasis G B, John B T, Minas C A, et al. Long-term wind speed and power forecasting using local recurrent neural network models[J]. IEEE Trans on Energy Conversion, 2006, 21(1): 273-284.
  • 10Seyit A A, Dinler A. A new method to estimate Weibull parameters for wind energy applications[J]. Energy Conversion and Management, 2009(50): 1761-1766.

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