Domestic electrical load management in smart grids and classification of residential loads
Onur Ayan, Belgin Emre Türkay
Abstract
Onur Ayan, Belgin Emre Türkay
Abstract
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.
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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.
Key concepts: Demand management, Load management, Smart grid, Peak demand, Electricity, Demand response, Environmental economics, Demand side