华电技术 ›› 2020, Vol. 42 ›› Issue (11): 6-13.

• 智慧供热 • 上一篇    下一篇

工业园区蒸汽热网智慧调度技术研究及应用

  

  1. 1. 浙江浙能绍兴滨海热电有限责任公司,浙江 绍兴 312000;2. 浙江大学 能源工程学院,杭州 310000;3. 常州英集动力科技有限公司,江苏 常州 213000
  • 出版日期:2020-11-25

Study and application of intelligent dispatch technology for steam heating networks in industrial parks

  1. 1.Zhejiang Zheneng Shaoxing Binhai Generation Company Limited,Shaoxing 312000,China;2.College of Energy Engineering,Zhejiang University,Hangzhou 310000,China;3.Changzhou Engipower Technology Company Limited,Changzhou 213000,China
  • Published:2020-11-25

摘要: 随着“退城入园”政策的持续推进和工业园区蒸汽热网的快速发展,园区热网调度的复杂性已超出人工经 验可快速反应和判断的能力范围。针对这一问题,首先以工业园区蒸汽热网智慧供热系统为基础,提出了一种运 行优化调度技术架构;其次,建立了与实际热网相映射的数字孪生拓扑网络模型,提出了一种蒸汽热网仿真计算方 法,作为优化调度的预测和分析基础;最后,以浙江某印染园区的大型蒸汽热网作为研究对象,对比了在部分热源 停机的情况下,分别依靠经验调度和智慧调度的热网运行结果。结果表明,智慧供热技术精准实现了园区蒸汽热 网优化调度,其方案的预期温度与实际调度后热网温度的最高偏差为 2.27%,而压力的最高偏差为 8.57%。同时,经 验调度方法导致整网用户蒸汽压力平均下降 0.14 MPa,而经过优化调度后,整网用户蒸汽压力平均下降 0.07 MPa, 有效降低了调度方案对用户用汽质量的不良影响,表明智慧供热技术在工业园区有优秀的发展潜力和应用价值。

关键词: 蒸汽热网, 优化调度, 信息物理融合, 智慧供热, 数字孪生

Abstract: With the promotion of "retreat from city and move into park" policy and the rapid development of steam heating networks for industrial parks,the complexity of heating network dispatch has exceeded operators' response speed and judgment capability based on their experience.Thus,an optimized dispatch technical framework of an intelligent heating network in an industrial park is proposed.Then,a digital twin topology network model mapping to the actual heating network is established,and a simulation calculation method for the steam heating network is advanced as the prediction and analysis basis of the optimized dispatch. Taking the large-scale steam heating network of a printing and dyeing industrial park in Zhejiang Province as research object,the dispatch results after shutting down the heat sources made by empirical method were compared to that made by intelligent dispatch. The results show that the intelligent heating technology realizes the optimized dispatch of the steam heating network accurately. After the optimization,the maximum deviation between the expected temperature and the actual temperature of the heating network is 2.27%,while the maximum deviation between the expected and the actual pressure is 8.57%.The dispatch made by empirical method results in a 0.14 MPa drop of steam pressure at user end on average,while the average steam pressure at user end only reduces by 0.07 MPa by taking optimized dispatch.The results indicate that the optimized dispatch effectively reduce the adverse effect of dispatch scheme on steam consumption and intelligent heating technology is promising in industrial parks.

Key words: steam heating network, optimized dispatch, cyber-physical integration, intelligent heating, digital twin