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Domestic electrical load management in smart grids and classification of residential loads

机译:智能电网中的家庭电力负荷管理和住宅负荷分类

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Peak demand is an important problem in the electricity grid and this problem was generally solved by supply side management in the past. However, nowadays the demand side management sources have taken attention due to economic and environmental constraints. Normally, reliable electricity supply to customer can be maintained by either increasing the network capacity (supply side management) or reducing the peak electricity demand on the network (demand side management) but reducing electricity consumption within demand side management rather than increasing network capacity provides operational and financial benefits to countries. Demand response in the residential sector can plan an important role in reducing peak demand. For this reason, in this study, load management system was carried out in order to analyze effects of demand response for residential area using Matlab/Simulink. Some residential loads were shifted to off- peak hours using load management system in order to reduce peak demand and electricity bill saving which can be gained through energy management system was analyzed on consumers. Additionally, a comprehensive study of the classification of residential loads was analyzed in this work.
机译:高峰需求是电网中的一个重要问题,过去这个问题通常由供应方管理来解决。然而,由于经济和环境的限制,如今需求方的管理来源已经引起了人们的注意。通常,可以通过增加网络容量(供电侧管理)或减少网络上的峰值用电需求(需求侧管理)来维持对客户的可靠电力供应,但可以通过减少需求侧管理中的用电量而不是增加网络容量来提供运营和对国家的经济利益。住宅部门的需求响应可以计划在减少高峰需求方面发挥重要作用。由于这个原因,在这项研究中,为了研究使用Matlab / Simulink的住宅区的需求响应的影响,进行了负载管理系统。使用负荷管理系统将一些住宅负荷转移到非高峰时段,以减少高峰需求,并通过对消费者的能源管理系统进行分析,从而节省了电费。此外,这项工作还对住宅负荷分类进行了全面研究。

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