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Automated demand response strategies using home energy management system in a RES-based smart grid

机译:在基于RES的智能电网中使用家庭能源管理系统实现自动需求响应策略

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Demand Response (DR) applications via Home Energy Management System (HEMS) at the building level in a strategically integrated RES-based electricity grid can help reduce the building peak demand as well as energy consumption and the power inefficiency in the grid respectively. Distributed Energy Generation (DEG) based on Renewable Energy Sources (RES) are seen as a reliable alternative and more efficient grid optimization to the traditional fossil energy sources-based grid. But a proper combination of demand response and the DEG can significantly make a revolutionary change in the electricity grid. This paper focuses on the impact of integrated control of Solar PV and the Wind Turbine on improving the supply-side and coordinated control strategy for automated demand response by ensuring efficient use of home appliances including Electric Vehicle (EV), air cooling, water heating etc. based on HEMS in order to reduce the peak demand and overall power inefficiency in the grid. For that purpose and analysis, a highly accurate aggregated model of Solar PV, Wind turbine and the home appliances has been developed in the Simulink (MATLAB) and an iterative algorithm based on Load Shifting technique has been established for HEMS controller with embedded MATLAB code. The obtained simulation result illustrates the effectiveness of the proposed system.
机译:在基于策略的基于RES的电网中通过建筑物级别的家庭能源管理系统(HEMS)进行的需求响应(DR)应用可以分别帮助降低建筑物的峰值需求以及电网中的能耗和功率效率低下。与传统的基于化石能源的电网相比,基于可再生能源(RES)的分布式能源发电(DEG)被视为可靠的替代方案,并且是电网效率更高的优化。但是,需求响应和DEG的适当组合可以极大地改变电网。本文着眼于太阳能光伏和风轮机的集成控制对改善供应方和协调控制策略以实现自动需求响应的影响,方法是确保有效利用家用电器,包括电动汽车(EV),空气冷却,热水等基于HEMS,以减少电网的峰值需求和整体电源效率低下。为此,在Simulink(MATLAB)中开发了太阳能光伏,风力涡轮机和家用电器的高精度汇总模型,并为带有嵌入式MATLAB代码的HEMS控制器建立了基于负荷转移技术的迭代算法。获得的仿真结果说明了所提出系统的有效性。

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