考虑电池循环寿命的农用水能管理系统并网直流微电网的最佳尺寸

IF 8 Q1 ENERGY & FUELS
Mohammad Hossein Mokhtare, Ozan Keysan
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引用次数: 0

摘要

本文提出了一种用于农业农场常用的直流微电网拓扑结构的优化尺寸方法。微电网包括太阳能光伏(PV)板、电池储能系统(BESS)、电动水泵、高架水库(WR)和家庭用电负荷。尺寸优化过程包括选择合适的光伏阵列尺寸和优化WR和BESS容量。为了对可能的解决方案进行技术评价,提出了一个水-能源管理系统(WEMS)。水被视为一种独立的需求。灌溉制度是在农民的经验知识和温度约束的基础上建立的,以避免在高温下灌溉造成不必要的蒸发。此外,将电池周期和日历寿命集成到该方法中。以一个实际农场为例,进行了实际数据的案例研究。与备选拓扑结构的仿真对比表明,太阳能水泵微电网是最具技术经济效益的拓扑结构。目标农场虽然仅由电网供电,但其平准化能源成本(LCOE)为401美元/兆瓦时。然而,本文提出的分级方法找到了一种直流农业微电网配置,其LCOE为223美元/兆瓦时。LCOE显著降低了44%。在最佳解决方案下,农场约77%的能源需求由可再生太阳能提供。此外,与独立的太阳能泵系统相比,浪费的太阳能减少了62.4%。通过改变关键参数进行灵敏度分析,观察对最优解的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal sizing of a grid-connected DC microgrid for agricultural applications with water-energy management system considering battery cycle life
This paper presents an optimal sizing method for a DC microgrid topology commonly installed in agricultural farms. The microgrid comprises solar photovoltaic (PV) panels, a battery energy storage system (BESS), an electric water pump, an elevated water reservoir (WR), and a household electrical load. The sizing optimization procedure includes selecting a suitable PV array size and optimizing the WR and BESS capacities. For the technical evaluation of possible solutions, a water-energy management system (WEMS) is proposed. Water is treated as an independent demand. The irrigation regime is modeled on the basis of farmers’ experiential knowledge and a temperature constraint to avoid unnecessary evaporation due to irrigation in high temperatures. Moreover, the battery cycle and calendar lifetimes are integrated into the presented sizing method. A case study is conducted for an actual farm with real data. Comparative simulations with alternative topologies show that the PV-BESS-Grid microgrid with solar water pumping is the most techno-economically efficient topology. The target farm, while supplied only from the grid, has a levelized cost of energy (LCOE) equal to 401 $/MWh. However, the presented sizing method finds a DC agricultural microgrid configuration that provides energy with an LCOE of 223 $/MWh. This is a significant 44% decrease in the LCOE. With the optimal solution, around 77% of the energy needs of the farm are supplied from renewable solar energy. In addition, wasted solar energy decreases by 62.4% compared to a standalone solar pumping system. Sensitivity analysis is performed by varying critical parameters to observe the impacts on the optimal solution.
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来源期刊
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
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