Abstract
In this paper, a Mixed Integer Linear Programming (MILP) based rolling optimization approach under real time pricing (RTP) policy is introduced to efficiently manage energy consumption of a smart home equipped with a Battery Energy Storage System (BESS) and a solar PV system. Models of distributed energy resources (DERs) in a smart house are developed and accordingly optimal management of total energy consumption is formulated as a MILP problem, which is then solved by the MOSEK software platform. And a rolling optimization scheduling framework based on MILP is proposed to dispatch DERs within a smart home to minimize the expenditure under RTP policy. Case studies are conducted to validate the performance of the algorithm. It is observed that proposed algorithm could benefit both smart house owners and network operators technically and economically in the context of smart grid.
Original language | English |
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Title of host publication | 2015 IEEE Power and Energy Society General Meeting, PESGM 2015 |
Publisher | IEEE Computer Society |
Volume | 2015-September |
ISBN (Electronic) | 9781467380409 |
DOIs | |
Publication status | Published - 30 Sept 2015 |
Event | IEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015 |
Conference
Conference | IEEE Power and Energy Society General Meeting, PESGM 2015 |
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Country/Territory | United States |
City | Denver |
Period | 26/07/15 → 30/07/15 |
Keywords
- Demand Response
- Mixed Integer Linear Programming
- Rolling Optimization
- Smart Home Energy Management System
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering