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Multi-objective optimisation and planning of grid-connected cogeneration systems in presence of grid power fluctuations and energy storage dynamics

机译：网格电流波动和能量存储动力学存在下网格连接热电联产系统的多目标优化和规划

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摘要

In recent years, multi-generation systems (MGS) have been at the centre of attention for incorporating various energy sources and technologies to provide a reliable and sustainable energy supply. However, deciding on the most suitable configuration and optimal operation strategy of MGSs has always been a challenging issue due to the nonlinear and complex interactions between different energy converters. Cogeneration solutions offer excellent energy efficiency through the coproduced heat from the electricity generation process. This will lead to significant economic profitability compared to conventional independent heat and power production plants. This paper presents a mixed-integer quadratic based multi-objective structural design strategy for grid-connected cogeneration systems comprising combined heat and power (CHP) devices, ancillary boiler, and energy storage devices in presence of nonlinear and dynamic behaviour of the energy storage systems. The power fluctuations smoothing index (PFSI) and energy storage depreciation factor (ESDF) are defined to effectively mitigate the power grid fluctuations and extend the lifetime of the energy storage systems. Presenting three case scenarios, the obtained results demonstrate the efficacy and applicability of the developed technique and reflect the impact of the introduced factors on the optimal configuration and operation of cogeneration systems.
机译：近年来，多代系统（MGS）一直在纳入各种能源和技术的关注中心，以提供可靠和可持续的能源供应。然而，由于不同能量转换器之间的非线性和复杂的相互作用，决定MGSS的最合适的配置和最佳操作策略一直是一个具有挑战性的问题。热电联产溶液通过从发电过程中的副产品提供优异的能效。与传统的独立热量和电力生产厂相比，这将导致具有重要的经济盈利能力。本文介绍了一种用于网格连接的热电联产系统的混合整数基于多目标结构设计策略，包括在能量存储系统的非线性和动态行为的情况下，包括组合热电和功率（CHP）器件，辅助锅炉和能量存储装置。电力波动平滑指数（PFSI）和能量存储折旧因子（ESDF）被定义为有效地减轻电网波动并延长能量存储系统的寿命。提出三种情况，所获得的结果表明了开发技术的功效和适用性，并反映了引入的因素对热电联产系统的最佳配置和操作的影响。

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  • 来源
    《Energy》 |2020年第1期|118589.1-118589.14|共14页
  • 作者

    R. Garmabdari; M. Moghimi; F. Yang; J. Lu;

  • 作者单位

    School of Engineering Griffith University Nathan Campus Nathan OLD 4111 Australia;

    School of Engineering Griffith University Nathan Campus Nathan OLD 4111 Australia;

    School of Engineering Griffith University Nathan Campus Nathan OLD 4111 Australia;

    School of Engineering Griffith University Nathan Campus Nathan OLD 4111 Australia;

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  • 正文语种 eng
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  • 关键词

    Cogeneration systems; Combined heat and power; CHP; Planning and sizing; Operation optimisation;

    机译：热电联产系统;混合热量和力量;ChP;规划和规模;操作优化;

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