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Sustainability 2017, 9(7), 1248; doi:10.3390/su9071248

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

1,†
,
1,†,* , 1,†
,
1,†
and
2,†
1
Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2
Department of Electrical & Computer Engineering, the University of Alabama, Tuscaloosa, AL 35487, USA
The author contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 20 June 2017 / Revised: 11 July 2017 / Accepted: 11 July 2017 / Published: 17 July 2017
(This article belongs to the Special Issue Smart Grid)
View Full-Text   |   Download PDF [1467 KB, uploaded 17 July 2017]   |  

Abstract

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. View Full-Text
Keywords: demand response; home energy management system; approximate dynamic programming; vehicle-to-home; vehicle-to-grid demand response; home energy management system; approximate dynamic programming; vehicle-to-home; vehicle-to-grid
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Li, H.; Zeng, P.; Zang, C.; Yu, H.; Li, S. An Integrative DR Study for Optimal Home Energy Management Based on Approximate Dynamic Programming. Sustainability 2017, 9, 1248.

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