Generating Manageable Electricity Demand Capacity for Residential Demand Response Studies by Activity-based Load Models

被引：4

作者：

Sonmez, Mehmet Ali ^{[1
]}

Bagriyanik, Mustafa ^{[1
]}

机构：

[1] Istanbul Tech Univ, TR-34469 Istanbul, Turkey

来源：

ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING | 2021年 / 21卷 / 01期

关键词：

consumer behavior; load management; power demand; power distribution; smart grids; ENERGY; CONSUMPTION; BUILDINGS; BEHAVIOR;

D O I：

10.4316/AECE.2021.01011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Manageable electricity demand capacity and the user activities that make up this demand is crucial for aggregators in residential demand response events. In this study, it was aimed to generate residential electricity power profiles by the enhanced activity-based load models to determine manageable demand potential. A novel method that aggregators may estimate realistic residential manageable demand capacity was presented. The method can also be used to specify which incentives that cause suitable activity changes of the consumer. Studies were performed on several home appliances associated with different activities. Using load models that are based on collected mergy consumption data, consumer behaviors, behavioral adaptations, habits, and physical determinants were embedded in both activities and loads' power profiles. It was observed from simulations that deferrable loads had a significant share in total electricity consumption.

引用

页码：99 / 108

页数：10

共 29 条

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