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A comprehensive analysis of smart home energy management system optimization techniques

机译:智能家居能源管理系统优化技术综合分析

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Development of smart grid technology provides an opportunity to various consumers in context for scheduling their energy utilization pattern by themselves.The main aim of this whole exercise is to minimize energy utilization and reduce the peak to average ratio (PAR) of power.The two way flow of information between electric utilities and consumers in smart grid opened new areas of applications.The main component is this management system is energy management controller (EMC),which collects demand response (DR) i.e.real time energy price from various appliances through the home gateway (HG).An optimum energy scheduling pattern is achieved by EMC through the utilization of DR information.This optimum energy schedule is provided to various appliances via HG.The rooftop photovoltaic system used as local generation micro grid in the home and can be integrated to the national grid.Under such energy management scheme,whenever solar generation is more than the home appliances energy demand,extra power is supplied back to the grid.Consequently,different appliances in consumer premises run in the most efficient way in terms of money.Therefore this work provides the comprehensive review of different smart home appliances optimization techniques,which are based on mathematical and heuristic one.
机译:智能电网技术的发展为各种消费者提供了一个机会,可以自行安排他们的能源利用模式。整个过程的主要目的是最大程度地减少能源利用并降低电力的峰均比(PAR)。电力公司和智能电网中的用户之间的信息流开辟了新的应用领域。此管理系统的主要组件是能源管理控制器(EMC),该控制器收集需求响应(DR),即各种家用电器通过家庭的实时能源价格网关(HG).EMC通过利用DR信息实现了最佳的能源调度模式。该最佳能源调度通过HG提供给各种设备。屋顶光伏系统用作家庭中的本地微型电网,并且可以集成到国家电网。在这种能源管理方案下,只要太阳能发电量超过家用电器的能源需求,由于将电能回馈给电网。因此,消费者场所中的不同设备在金钱方面的运行效率最高。因此,这项工作基于数学和启发式方法,对不同的智能家电优化技术进行了全面综述。 。

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