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Optimal structural design of residential cogeneration systems with battery based on improved solution method for mixed-integer linear programming

机译：基于混合整数线性规划的改进解法的带电池住宅热电联产系统的优化结构设计

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摘要

An optimal structural design model of residential cogeneration systems with a battery is developed using an MILP (mixed-integer linear programming) approach. A battery is introduced as a device candidate to increase operational flexibility of cogeneration units without electric power export. In this model, the selection from device candidates and multi-period operation of selected devices, in which various operational restrictions are considered, are simultaneously optimized so as to minimize annual primary energy consumption. For a battery, not only charging and discharging losses and an upper limit of charging and discharging electric power but also charging-discharging status and electric power consumption in a built-in bidirectional inverter are uniquely incorporated into the model. In addition, the solution method for this MILP problem is improved using a simple decomposition approach. The developed model is then applied to the structural design of a residential cogeneration system with a battery for simulated energy demands in Japan. The results reveal the effectiveness of the simple decomposition approach and the increase in the energy-saving effect of the residential cogeneration system by the introduction of the battery, as a consequence of the increase in the electric capacity factor of the cogeneration unit by the charge of surplus electric power. Moreover, it is shown that this increase strongly depends on the battery performances. (C) 2015 Elsevier Ltd. All rights reserved.
机译：使用MILP（混合整数线性规划）方法，开发了带有电池的住宅热电联产系统的最佳结构设计模型。引入了电池作为候选设备，以提高热电联产机组的运行灵活性，而无需输出电力。在该模型中，同时优化了从候选设备的选择和考虑各种运行限制的所选设备的多周期运行，以最大程度地减少年度一次能源消耗。对于电池，不仅将充电损耗和放电功率的上限以及充放电功率的上限，而且还将内置双向逆变器中的充放电状态和功耗唯一地纳入模型中。此外，使用简单的分解方法可以改善此MILP问题的解决方法。然后将开发的模型应用于带有电池的住宅热电联产系统的结构设计，以模拟日本的能源需求。结果表明，简单的分解方法的有效性以及通过引入电池使住宅热电联产系统的节能效果有所提高，这是由于热电联产单元的充电增加了电容量的结果。剩余电力。而且，表明这种增加强烈地取决于电池性能。 （C）2015 Elsevier Ltd.保留所有权利。

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