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Optimal energy management of a retrofitted Rubber Tyred Gantry Crane with energy recovery capabilities

机译:具有能量回收能力的改装橡胶Tyred龙门架式起重机的最佳能量管理

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In this work, an optimal energy management model for the grid-powered electric RTG, with a battery storage system, is developed. The aim of the model is to reduce the operation cost, by minimizing the component linked to the maximum demand charges from the grid, as well as the component linked to the Time of Use (ToU) pricing structure. As a case study, a RTG crane operating in South Africa has been selected. The load profile, size the battery storage system, ToU tariff, as well as the maximum demand charges, are used as input for the developed model. Simulations, for a complete RTG handling cycle, have been conducted to evaluate the techno-economic performances of the developed model, used to optimally dispatch the power flow in the system during the different phases of operation. Three main configurations have been simulated as energy sources for the RTG crane, namely, the exclusive supply from the grid, grid/battery hybrid system without energy recovery during the lowering phase and grid/battery hybrid with energy recovery, during the lowering phase.As compared to the baseline, the simulation results have shown that using the proposed model shows a possible 50.36, 60.6 and 64.4% cost reduction, per full handing cycle, are possible in off-peak standard and peak pricing period, for the selected winter day. The results also show that the maximum demand charges may be reduced by 45.20%.Further economic analyses have been conducted; and the results indicate that the proposed system successfully reduce electrical energy costs, the peak demand and outperforms each of the presented baselines.
机译:在这项工作中,开发了具有电池存储系统的电网供电的电网的最佳能量管理模型。该模型的目的是通过最小化与网格的最大需求电荷相关的组件来降低运营成本,以及与使用时间(TOU)定价结构相关的组件。作为案例研究,已选择在南非运营的RTG起重机。负载轮廓,尺寸电池存储系统,TOU关税以及最大需求电荷用作开发模型的输入。已经进行了完整的RTG处理循环的模拟,以评估开发模型的技术经济性能,用于在不同阶段在操作阶段最佳地调度系统中的功率流动。已经模拟了三个主要配置作为RTG起重机的能源,即来自电网,电池/电池混合系统的独家供应,在降低相位和电网/电池混合期间没有能量回收,在降低阶段。与基线相比,仿真结果表明,使用所选冬季的每种冬季标准和峰值定价时期,使用所提出的模型显示可能的50.36,60.6和64.4%的成本降低,可用于选定的冬季。结果还表明,最大需求收费可能减少45.20%。已经进行了45.20%的经济分析;结果表明,所提出的系统成功降低了电能成本,峰值需求和优于所呈现的基线。

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