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首页> 外文期刊>Canadian journal of electrical and computer engineering >Optimization and Energy Management in Smart Home Considering Photovoltaic, Wind, and Battery Storage System With Integration of Electric Vehicles
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Optimization and Energy Management in Smart Home Considering Photovoltaic, Wind, and Battery Storage System With Integration of Electric Vehicles

机译:考虑电动汽车集成的光伏,风能和电池存储系统的智能家居优化和能源管理

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With the emergence of smart grid, which presents the next generation of electrical power systems, residents have the opportunities to manage their home energy usage to reduce energy expenditure. This paper presents a mixed integer linear programming model to optimize the energy production and consumption systems in a smart home with the integration of renewable energy resources, battery storage systems, and gridable vehicles. Numerous case studies are presented by varying significant factors through the design of experiments with the Taguchi method. After that, a heuristic technique is proposed to solve the problem of residential energy management and to minimize the electricity cost of the consumer. Results find the global optimum solution for many consecutive days with important reduction of execution time and by achieving significant energy cost savings of the considered scenarios.
机译:随着智能电网的出现,它代表了下一代电力系统,居民有机会管理其家庭能源使用以减少能源消耗。本文提出了一种混合整数线性规划模型,通过集成可再生能源,电池存储系统和可网格化车辆来优化智能家居中的能源生产和能耗系统。通过使用Taguchi方法设计实验,通过改变重要因素来进行大量案例研究。此后,提出了一种启发式技术来解决住宅能源管理的问题,并最大程度地减少用户的用电成本。结果连续许多天找到了全球最佳解决方案,极大地缩短了执行时间,并实现了所考虑方案的显着节能。

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