Optimal residential community demand response scheduling in smart grid

被引：232

作者：

Nan, Sibo ^{[1
]}

Zhou, Ming ^{[1
]}

Li, Gengyin ^{[1
]}

机构：

[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, 2 Beinong Rd, Beijing 102206, Peoples R China

来源：

APPLIED ENERGY | 2018年 / 210卷

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

Smart residential community; Controllable load; Distributed generation; Demand response; HOUSEHOLD APPLIANCES; ENERGY MANAGEMENT; BENEFITS; STORAGE; PRICE; STRATEGIES; BUILDINGS; SYSTEM; MARKET; HUB;

D O I：

10.1016/j.apenergy.2017.06.066

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

With the reformation of electric power market and the development of smart grid technology, smart residential community, a new residential demand side entity, tends to play an important role in demand response program. This paper presents a demand response scheduling model for the novel residential community incorporating the current circumstances and the future trends of demand response programs. In this paper, smart residential loads are firstly classified into different categories according to various demand response programs. Secondly, a complete scheduling scheme is modeled based on the dispatch of residential loads and distributed generation. The presented model reduces the cost of user's electricity consumption and decreases the peak load and peak-valley difference of residential load profile without bringing discomfort to the users, through which residential community can participate in demand response efficiently. Besides, this model can also provide support for the decision of electricity pricing strategies under power market development. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：1280 / 1289

页数：10

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