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Optimal Operation of Greenhouses in Microgrids Perspective

机译:微电网视角下的温室优化运营

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摘要

An optimal energy management strategy for greenhouses is proposed in this paper for both grid-connected and islanded modes, i.e., microgrids perspective. Especially, the islanded mode is focused due to the scarcity of resources and inability to suffice all loads during the entire islanded period. In normal mode, the greenhouse can trade power with the utility grid to minimize its operation cost. In islanded mode, only local resources can be used, and thus precedence of different control parameters is defined to optimize the growth of plants. In addition, an algorithm is developed to avoid the acceptable range violation of the same parameter in consecutive intervals. The four major control parameters considered in this paper are indoor temperature, relative humidity, CO2 concentration, and indoor lighting. In order to enhance the sustainability of the greenhouse, renewable sources, energy storage systems, and combined heat and power units are incorporated into the model. The uncertainties associated with renewable generations and loads (electric, heat, and cooling) are realized via robust optimization method. The effect of uncertainties on operation cost and power trading with the utility grid in grid-connected mode along with operation cost and control parameters' violation intervals in islanded mode are analyzed. Finally, the effect of event occurrence time on the violation intervals of the control parameters is analyzed. Numerical simulations have proved the effectiveness of the proposed method.
机译:本文针对并网和孤岛模式提出了一种温室的最佳能源管理策略,即微电网的观点。特别地,由于资源的稀缺以及在整个孤岛期间无法满足所有负载,孤岛模式受到关注。在正常模式下,温室可以与公用电网交换电力以最小化其运营成本。在孤岛模式下,只能使用本地资源,因此定义了不同控制参数的优先级以优化植物的生长。另外,开发了一种算法,以避免在连续间隔内对相同参数的可接受范围违反。本文考虑的四个主要控制参数是室内温度,相对湿度,CO2浓度和室内照明。为了提高温室的可持续性,将可再生资源,能源存储系统以及热电联产单元纳入模型。通过可靠的优化方法可以实现与可再生能源发电和负荷(电,热和冷却)相关的不确定性。分析了不确定性对并网模式下公用电网运行成本和电力交易的影响,以及孤岛模式下运行成本和控制参数违反区间的影响。最后,分析了事件发生时间对控制参数违反间隔的影响。数值仿真证明了该方法的有效性。

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