基于行星搜索算法的热电联产分时经济性分析

Shuqian Si, Z. Dou, Zichen Wang, J. Dong
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引用次数: 0

摘要

CCHPs(冷热电联产系统)能够向用户提供冷、热、电,实现能源的级联利用,提高能源效率。冷却、加热和电能之间的不平衡使得准确评估CCHP系统的性能变得困难。现有的评价热电联产系统性能的指标没有考虑分时电价的影响;因此,加入分时的定量指标,建立散热器分时经济用能效率。考虑到先进的绝对热压缩空气蓄热系统(AA-CAES)的电学和热特性可以与CCHP系统互补,建立了具有AA-CAES的CCHP系统模型,用于验证分时定量评价指标的有效性。针对CCHP系统模型求解多参数的特点,以及现有多目标优化算法容易出现局部最优性和优化精度差的缺点,提出了一种求解CCHP系统模型的行星搜索算法。仿真验证表明,本文提出的分时经济用能效率比现有评价指标更能准确反映热电联产系统的总能耗。采用AA-CAES作为储热装置可以提高热电联产系统的性能。
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The analysis of time-sharing economic exergy efficiency of the CCHP system using planetary search algorithms
CCHPs (Combined Cooling, Heating, and Power Systems) are capable of providing cold energy, heat, and electricity to users, allowing cascading utilization of energy and improving energy efficiency. The imbalance between cooling, heating, and electrical energy makes it difficult to accurately evaluate the performance of a CCHP system. Existing indices for evaluating the performance of the CCHP system do not account for the influence of time-sharing tariffs; therefore, the quantitative index of time-sharing is added and the time-sharing economic exergy efficiency of the radiator is established. Given that the electrical and thermal characteristics of the advanced absolutely hot compressed airheat storage system (AA-CAES) can complement the CCHP system, a model of the CCHP system with AA-CAES is established, which can be used to validate the validity of the quantitative evaluation index of time-sharing. A planetary search algorithm is proposed for solving the CCHP system model to address the multi-parameter solving characteristics of the CCHP system model and the disadvantages of the existing multi-objective optimization algorithms, which are prone to local optimality and poor optimization accuracy. Simulation validation demonstrates that the time-sharing economic exergy efficiency proposed in this paper can more accurately reflect the total energy consumption of the CCHP system than the existing evaluation indices. The performance of the CCHP system can be improved by using AA-CAES as a heat storage device.
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