发电技术

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考虑热惯性及电蓄热锅炉的电力系统深度调峰优化运行

龙宝银1,亢岚2,杨培宏1,刘春明3,王瑞鲜1   

  1. 1.内蒙古科技大学自动化与电气工程学院,内蒙古自治区 包头市 014010;2.内蒙古科技大学矿业与煤炭学院,内蒙古自治区 包头市 014010;3.华北电力大学电气与电子工程学院,北京市 昌平区 102208
  • 基金资助:
    Project Supported by Inner Mongolia Autonomous Region Science and Technology Programme(2023YFHH0055) ; Natural Science Foundation of Inner Mongolia Autonomous Region(2022MS05007).

Optimal Operation of Consideration of Thermal Inertia and Electric Thermal Storage Boilers for Deep Peaking in Power Systems

LONG Baoyin1,KANG Lan2,YANG Peihong1,LIU Chunming3,WANG Ruixian1   

  1. 1. School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia Autonomous Region, China; 2. School of Mining and Coal, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia Autonomous Region, China; 3. School of Electrical and Electronic Engineering, North China Electric Power University, Changping District, Beijing 102208, China

摘要: 【目的】高比例可再生能源发电并网以及热电联产机组“以热定电”运行,导致电力系统调峰不足。因此,提出在大型热电厂中配置电蓄热锅炉和利用供热管网储热特性共同参与电力系统调峰。【方法】首先,将电蓄热锅炉与储热系统结合,建立了热电解耦的可行域数学模型,并将可行域的面积作为灵活性评价指标对调峰灵活性进行分析;其次,分析了热惯性对功率波动的抵御能力和延时响应特性,基于Taylor展开的二阶迎风隐式格式构建了供热管网一次侧热惯性模型,并将供热管网储热量化修正热电联产机组出力;最后,以日运行成本最低为目标,建立利用电蓄热锅炉和供热管网储热特性参与电力系统深度调峰优化运行模型。【结果】通过场景对比验证了此模型扩大了热电联产机组的电热功率调节范围,增大了运行可行域范围。【结论】该模型可以提高热电联产机组调峰的深度和灵活性,降低日运行成本,提高风电消纳率。

关键词: 热电联产, 热电解耦, 电蓄热锅炉, 管网储热, 储热量化, 深度调峰, 优化运行, 风电消纳

Abstract: [Objectives] The high proportion of renewable energy generation connected to the grid and the operation of combined heat and power units ‘based on heat’ have led to insufficient peaking of the power system. Therefore, it proposes the configuration of electric thermal storage boilers in large-scale thermal power plants and the use of heat storage characteristics of the heating network to jointly participate in power system peaking. [Methods] Firstly, the feasible domain mathematical model of thermoelectric decoupling is established by combining the electric thermal storage boiler with the thermal storage system and the area of the feasible domain is used as a flexibility evaluation index to analyse the flexibility of peaking. Secondly, the resistance of thermal inertia to power fluctuation and the delayed response characteristics are analyzed, and a model of thermal inertia on the primary side of the heating network is constructed based on the second-order windward implicit format of Taylor expansion, and the heat storage capacity of the heating network is quantitatively corrected for the output of combined heat and power units. Finally, with the objective of minimizing the daily operating cost, an optimal operation model is established to participate in the deep peaking of the power system using the heat storage characteristics of the electric thermal storage boiler and the heat supply pipe network.[Results] Through scene comparison, it is verified that this model expands the range of electrothermal power regulation of cogeneration units and increases the range of the feasible operation region.[Conclusions] The model can improve the depth and flexibility of peak regulation of cogeneration units, reduce daily operating costs, and increase wind power consumption.

Key words: cogeneration unit;thermoelectric decoupling, electric thermal storage boilers, pipe network heat storage, quantitative heat storage, deep peak regulation, optimal operation, wind power accommodation

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