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Effect of device models on the multiobjective optimal operation of CCHP microgrids considering shiftable loads

机译:设备模型对考虑可移动负载的CCHP微普林多目标最佳运行的影响

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摘要

Based on the importance of device modelling for the optimal operation of combined cooling, heating and power (CCHP) microgrids and load shifting for the demand-side response, the partial load ratio (PLR) and constant efficiency (CE) models of the main devices on the system operation are studied. Nonlinear PLR models of gas turbines, boilers and chillers are constructed. A piecewise least squares linearization method is proposed. Shiftable load models of cooling, heating and electricity are established, and load shifting is carried out. System optimization models with multiple optimization objectives are constructed and solved by a CPLEX solver. To compare the effects of different equipment models on the optimal operation under load shifting, different targets and heat-to-electricity ratios are given. The results show that compared with the segment broken-line linearization and least squares linearization method, the proposed method reduces the standard error of the performance curve by at least 20.97% and 75.49%, respectively. With different optimization objectives, the positive advantage of load shifting is related to the heat-to-electricity ratio. Using different heat-to-electricity ratios, the sensitivity of the optimization results of the PLR models to the heat-to-electricity ratio is higher than that of the CE models. The optimal operational effect of load shifting on different objectives of the PLR model is significantly better than that of the CE model. The model selection of the gas turbine, heating recovery steam generator and electric chiller with either the PLR or CE model demonstrates a considerable impact on the system operational results.
机译:基于器件建模的重要性,用于组合冷却,加热和功率(CCHP)微电网和负载侧响应的负载转移,主要设备的部分负荷比(PLR)和恒定效率(CE)型号研究了系统操作。构建非线性PLR燃气轮机,锅炉和冷却器的模型。提出了一种分段最小二乘线性化方法。建立了可移动的载荷模型,进行了冷却,加热和电力,并进行负载换档。具有多种优化目标的系统优化模型由CPLEX求解器构造和解决。为了比较不同设备模型对负载换档下的最佳操作的影响,给出了不同的目标和热到电力比。结果表明,与分段断线线性化和最小二乘线性化方法相比,所提出的方法将性能曲线的标准误差分别降低至少20.97%和75.49%。通过不同的优化目标,负载换档的积极优势与热到电力比有关。利用不同的热电比率,PLR模型的优化结果对热电比的敏感性高于CE模型的灵敏度。负载转换对PLR模型不同目标的最佳操作效果明显优于CE模型。燃气轮机,加热回收蒸汽发生器和电气冷却器的模型选择,具有PLR或CE模型,对系统操作结果进行了相当大的影响。

著录项

  • 来源
    《Applied Energy》 |2020年第1期|115369.1-115369.19|共19页
  • 作者单位

    Chinese Acad Sci Guangzhou Inst Energy Convers Key Lab Renewable Energy Guangzhou 510640 Peoples R China;

    Chinese Acad Sci Guangzhou Inst Energy Convers Key Lab Renewable Energy Guangzhou 510640 Peoples R China;

    Chinese Acad Sci Guangzhou Inst Energy Convers Key Lab Renewable Energy Guangzhou 510640 Peoples R China;

    Chinese Acad Sci Guangzhou Inst Energy Convers Key Lab Renewable Energy Guangzhou 510640 Peoples R China;

    China Nucl Power Design Co Ltd Shenzhen Shenzhen 518100 Peoples R China;

    Hong Kong Polytech Univ Dept Bldg Serv Engn Hong Kong 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

    CCHP microgrid; Shiftable loads; Partial load ratio model; Constant efficiency model; Multiple optimization objectives; Heat-to-electricity ratio;

    机译:CCHP MicroGrid;可移动载荷;部分负荷比模型;恒定效率模型;多种优化目标;热电率;

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