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首页> 外文期刊>Energy >Hybrid optimization method and seasonal operation strategy for distributed energy system integrating CCHP, photovoltaic and ground source heat pump
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Hybrid optimization method and seasonal operation strategy for distributed energy system integrating CCHP, photovoltaic and ground source heat pump

机译：CCHP，光伏和地源热泵相结合的分布式能源系统混合优化方法和季节性运行策略

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摘要

Distributed energy system (DES) has become favorite topic for energy saving, but exposed to a range of technical constrains on the system structure, operation strategy and optimization method with gradually accelerating the penetration. Thus, it is significant to study how to make some improvements from these three aspects. This paper proposes a new DES integrating cogeneration, photovoltaic and ground source heat pump (GSHP), which is modeled from energy balances and flows. Considering the high-dimension of the DES without any capacity assumptions, a multi-objective optimization method is built to analyze the annual energy saving ratio (AESR), cost saving ratio (ACSR) and emission reduction ratio (AERR), based on the differential evolution and particle swarm optimization hybrid algorithm and analytic hierarchy process. Then taking a large office in Beijing as the baseline building, a seasonal operation strategy coupled with seasonal adjustment of the cooling/heating share provided by GSHP is developed. The sensitive analysis of the photovoltaic capacity, energy price and objective weights is also performed to show the variation rules of the benefits under different optimization conditions. Results show that the integrated energy system under seasonal operation strategy outperforms the separate system with the AESR, ACSR, AERR of 17.85%, 55.50% and 34.22%. (C) 2017 Elsevier Ltd. All rights reserved.
机译：分布式能源系统（DES）已成为节能的热门话题，但随着系统结构，运行策略和优化方法的不断发展，其暴露于一系列技术约束之下。因此，研究如何从这三个方面进行改进具有重要意义。本文提出了一种新的结合热电联产，光伏发电和地源热泵（DES）的DES，该DES是根据能量平衡和流量建模的。考虑到DES的高维性，没有任何容量假设，建立了一种多目标优化方法，根据差异，分析年度节能率（AESR），成本节省率（ACSR）和减排率（AERR）进化和粒子群优化混合算法和层次分析法。然后，以北京的一个大型办公室作为基准建筑物，制定了季节性运营策略以及GSHP提供的制冷/供热份额的季节性调整。还对光伏容量，能源价格和目标权重进行了敏感分析，以显示不同优化条件下收益的变化规律。结果表明，季节性运行策略下的综合能源系统优于单独的系统，其AESR，ACSR，AERR分别为17.85％，55.50％和34.22％。 （C）2017 Elsevier Ltd.保留所有权利。

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  • 来源
    《Energy》 |2017年第2期|1439-1455|共17页
  • 作者

    Ma Weiwu; Fang Song; Liu Gang;

  • 作者单位

    Cent S Univ, Sch Energy Sci & Engn, Energy Bldg, Changsha 410083, Hunan, Peoples R China;

    Cent S Univ, Sch Energy Sci & Engn, Energy Bldg, Changsha 410083, Hunan, Peoples R China;

    Cent S Univ, Sch Energy Sci & Engn, Energy Bldg, Changsha 410083, Hunan, Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Integrated energy system; Hybrid strategy; Hybrid algorithm; Sensitive analysis;

    机译：集成能源系统混合策略混合算法敏感性分析;

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