Optimal Control of Intelligent Electricity Consumption for Residential Customers Considering Demand Response

被引：6

作者：

Qu, Xinyao ^{[1
]}

Hui, Hongxun ^{[1
]}

Ding, Yi ^{[1
]}

Luan, Kaining ^{[2
]}

机构：

[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China

[2] State Grid Jiangsu Elect Power Co, Nanjing 210024, Jiangsu, Peoples R China

来源：

RENEWABLE ENERGY INTEGRATION WITH MINI/MICROGRID | 2018年 / 145卷

关键词：

HEMS; intelligent electricity consumption; demand response; optimal control; ALGORITHM;

D O I：

10.1016/j.egypro.2018.04.074

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The increasing power demand and the widening peak-valley differences bring more challenges to the power system. Moreover, the home energy management system (HEMS) becomes an effective way for residential customers to participate in demand response (DR). This paper classifies the smart appliances of residential customers and analyzes the electrical characteristics. An optimal control model is proposed to minimize customers' cost and decrease the peak-valley differences by day-ahead electricity prices and real-time incentive signals, whereas comfort is not affected. Several cases are studied to prove the effectiveness of the proposed method. Copyright (C) 2018 The Authors. Published by Elsevier Ltd.

引用

页码：510 / 515

页数：6

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