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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自动化需求响应策略

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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:通过家庭能源管理系统(HEMS)在策略性集成的RES型电网中通过家庭能源管理系统(SEM)的需求响应(DR)应用可以帮助降低建筑峰值需求以及电网的能耗和功率效率。基于可再生能源(RES)的分布能源产生(DEG)被视为传统化石能源的网格可靠的替代和更有效的网格优化。但是,需求响应和DEG的适当组合可以显着地在电网中进行革命性的变化。本文侧重于通过确保包括电动车辆(EV),空气冷却,水加热等,通过确保有效使用家用电器来改善自动需求响应的供应侧和调节控制策略的影响。 。基于下摆,以降低电网的峰值需求和总功率低下。为此目的和分析,在Simulink(MATLAB)中已经开发了一种高度准确的太阳能光伏,风力涡轮机和家用电器的聚集模型,并且已经为具有嵌入式MATLAB代码的HEMS控制器建立了一种基于负载转换技术的迭代算法。所获得的仿真结果说明了所提出的系统的有效性。

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