An Integrative DR Study for Optimal Home Energy Management Based on Approximate Dynamic Programming

被引：9
|
作者：
Li, Hepeng [1 ]
Zeng, Peng [1 ]
Zang, Chuanzhi [1 ]
Yu, Haibin [1 ]
Li, Shuhui [2 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Automat, Networked Control Syst, Shenyang 110016, Liaoning, Peoples R China
[2] Univ Alabama, Dept Elect & Comp Engn, Tuscaloosa, AL 35487 USA
来源：
SUSTAINABILITY | 2017年 / 9卷 / 07期
基金：
中国国家自然科学基金;
关键词：
demand response; home energy management system; approximate dynamic programming; vehicle-to-home; vehicle-to-grid; DEMAND RESPONSE; COST;
D O I：
10.3390/su9071248
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper presents an integrative demand response (DR) mechanism for energy management of appliances, an energy storage system and an electric vehicle (EV) within a home. The paper considers vehicle-to-home (V2H) and vehicle-to-grid (V2G) functions for energy management of EVs and the degradation cost of the EV battery caused by the V2H/V2G operation in developing the proposed DR mechanism. An efficient optimization algorithm is developed based on approximate dynamic programming, which overcomes the challenges of solving high dimensional optimization problems for the integrative home energy system. To investigate how the participation of different home appliances affects the DR efficiency, several DR scenarios are designed. Then, a detailed simulation study is conducted to investigate and compare home energy management efficiency under different scenarios.
引用
收藏
页数：19
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