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Peak shaving operational optimization of supercritical coal-fired power plants by revising control strategy for water-fuel ratio

机译:修改水燃比控制策略优化超临界燃煤电厂调峰运行

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摘要

Electricity generated from renewable energy source fluctuates heavily and can hardly be predicted. The peak shaving (or load cycling) operation of conventional thermal power plants is an effective means to mitigate the mismatch between electricity demands and supplies. Therefore, determining how thermal power plants can operate in a flexible and effective mode is an urgent issue that should be addressed. For thermal power plants, new methods and strategies need to be proposed to face the challenge of the integrating flexibility and energy saving into transient processes. Dynamic performances of thermal power plants during load cycling processes are affected by the coupling of the thermal system and the control system. Feasible approaches from optimizing the coordinated control system (CCS) may radically enhance the peak shaving capacity of thermal power plants. The heat storage in a coal-fired power plant, including heating surface metals and work media, varies with the load rate of the plant. During cycling load operations, the real-time heat storage value of one unit differs from that of the corresponding steady state load command rate. This difference hinders the flexibility of one unit and affects its economic performances during cycling processes. In this paper, a revised water fuel ratio (WFR) control strategy based on heat storage difference was proposed and tested on established coal-fired power plant models. Results show that the accumulation deviations of load rate command and real-time load rate are considerably reduced during load cycling processes when the proposed WFR control strategy is introduced. The revised WFR control strategy diminishes the difference between the target and the actual total power output. When the load cycling rate varies from 10 to 30 MW min(-1) between 50% and 100% THA, the standard coal consumption variation rate (Delta b(s),) decreases by 0.31-1,01 g kW(-1) h(-1) during loading up processes, and decreases by 0.26-1.69 g kW(-1) h-(1) during loading down processes.
机译:可再生能源产生的电力波动很大,很难预测。常规火力发电厂的调峰(或负载循环)操作是减轻电力需求和供电之间不匹配的有效手段。因此,确定火力发电厂如何以灵活有效的方式运行是一个亟待解决的问题。对于火力发电厂,需要提出新的方法和策略来面对将灵活性和节能集成到瞬态过程中的挑战。火力发电厂在负载循环过程中的动态性能受热力系统和控制系统的耦合影响。优化协调控制系统(CCS)的可行方法可以从根本上提高火力发电厂的调峰能力。燃煤电厂的热量存储(包括加热表面金属和工作介质)随电厂的负荷率而变化。在循环负载运行期间,一个单元的实时储热值不同于相应的稳态负载指令率。这种差异阻碍了一个单元的灵活性,并影响了其在循环过程中的经济性能。本文提出了一种基于储热差异的修正水燃料比(WFR)控制策略,并在已建立的燃煤电厂模型上进行了测试。结果表明,当采用本文提出的WFR控制策略时,在负荷循环过程中,负荷率指令和实时负荷率的累积偏差已大大降低。修改后的WFR控制策略可减小目标功率与实际总功率输出之间的差异。当负荷循环率在50%和100%THA之间从10到30 MW min(-1)变化时,标准煤耗变化率(Delta b(s))降低0.31-1,01 g kW(-1) )h(-1)在加载过程中减少了0.26-1.69 g kW(-1)h-(1)。

著录项

  • 来源
    《Applied Energy》 |2018年第15期|212-223|共12页
  • 作者单位

    Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Shaanxi, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Coal-fired power plant; Transient processes; Operational optimization; Water fuel ratio; Heat storage;

    机译:燃煤电厂;过渡过程;运行优化;水燃料比;储热;

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