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      |本期目錄/Table of Contents|

      [1]王珊,劉明,嚴俊杰.采用粒子群算法的熱電廠熱電負荷分配優化[J].西安交通大學學報,2019,53(09):159-166.[doi:10.7652/xjtuxb201909021]
       WANG Shan,LIU Ming,YAN Junjie.Optimizing Heat-Power Load Distribution of Thermal Power Plants Based on Particle Swarm Algorithm[J].Journal of Xi'an Jiaotong University,2019,53(09):159-166.[doi:10.7652/xjtuxb201909021]
      點擊復制

      采用粒子群算法的熱電廠熱電負荷分配優化(PDF)

      《西安交通大學學報》[ISSN:0253-987X/CN:61-1069/T]

      卷:
      53
      期數:
      2019年第09期
      頁碼:
      159-166
      欄目:
      出版日期:
      2019-09-10

      文章信息/Info

      Title:
      Optimizing Heat-Power Load Distribution of Thermal Power Plants Based on Particle Swarm Algorithm
      作者:
      王珊 劉明 嚴俊杰
      西安交通大學動力工程多相流國家重點實驗室, 710049, 西安
      Author(s):
      WANG Shan LIU Ming YAN Junjie
      State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China
      關鍵詞:
      負荷分配 熱電聯產 效率 粒子群算法
      Keywords:
      load distribution cogeneration exergy efficiency particle swarm algorithm
      分類號:
      TK212
      DOI:
      10.7652/xjtuxb201909021
      摘要:
      為了優化熱電廠內多臺機組的熱電負荷分配以提高熱電廠的經濟效益,建立了熱電聯產機組能耗分析模型和基于粒子群算法的熱電廠熱電負荷優化分配模型,研究獲得了某330 MW熱電聯產機組的運行區間及運行區間內能量利用效率和效率的分布規律,進而研究熱電負荷分配對熱電廠整體能耗特性的影響規律。結果表明:對于單臺機組在供熱機組的運行區間內,供熱量是影響能量利用效率的主要因素,能量利用效率最大、最小值分別為72.11%和34.08%,發電量是影響效率的主要因素,效率最大、最小值分別為38.51%和29.97%; 通過合理的熱電負荷分配,熱電廠總煤耗降低,效率提高。以某熱電廠熱電負荷邊界為例,通過負荷分配優化,熱電廠的總煤耗量降低了49.17 t/d,發電標準煤耗率降低了2.56 g/(kW·h)。
      Abstract:
      To optimize the heat-power load distribution of multiple units in thermal power plants and improve the economic benefits, an energy consumption analysis model of cogeneration unit and a heat-power load optimal distribution model of thermal power plant are developed based on particle swarm algorithm.The feasible operation area of a 330 MW cogeneration unit is obtained, and the distributions of energy efficiency and exergy efficiency in the feasible operation area are also obtained.The influence of heat-power load distribution on the overall energy consumption characteristics of the thermal power plant is then studied.The results show that heat load is the main factor affecting the energy utilization efficiency in the feasible operation area of a cogeneration unit, and the maximum and minimum energy utilization efficiencies are 72.11% and 34.08%, respectively; and power load is the main factor affecting the exergy efficiency, and the maximum and minimum exergy efficiencies are 38.51% and 29.97%, respectively.The total coal consumption of thermal power plant could be reduced and the total exergy efficiency could be improved through optimization of heat-power load distribution.The optimization on a thermal power plant shows that its total coal consumption is reduced by 49.17 tons per day, and the standard power-generation coal consumption rate is reduced by 2.56 g/(kW·h).

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      備注/Memo

      備注/Memo:
      收稿日期: 2019-04-09。作者簡介: 王珊(1995—)女,碩士生; 劉明(通信作者),男,副教授;痦椖: 國家自然科學基金資助項目(51776146); 國家重點基礎研究發展規劃資助項目(2018YFB0604405)。
      更新日期/Last Update: 2019-09-04
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