Towards Optimal Planning and Scheduling in Smart Homes - Smart Grid and Renewable Energy

SGRE > Vol.10 No.7, July 2019

Towards Optimal Planning and Scheduling in Smart Homes ()

HTML XML

Download as PDF (Size: 1013KB) PP. 179-202

DOI: 10.4236/sgre.2019.107012 747 Downloads 1,646 Views Citations

Author(s)

Muhammad Raisul Alam¹, Marc St-Hilaire², Thomas Kunz¹

Affiliation(s)

¹Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada.
²School of Information Technology, Carleton University, Ottawa, Canada.

ABSTRACT

This research addresses the planning and scheduling problem in and among the smart homes in a community microgrid. We develop a bi-linear algorithm, named ECO-Trade to generate the near-optimal schedules of the households’ loads, storage and energy sources. The algorithm also facilitates Peer-to-Peer (P2P) energy trading among the smart homes in a community microgrid. However, P2P trading potentially results in an unfair cost distribution among the participating households. To the best of our knowledge, the ECO-Trade algorithm is the first near-optimal cost optimization algorithm which considers the unfair cost distribution problem for a Demand Side Management (DSM) system coordinated with P2P energy trading. It also solves the time complexity problem of our previously proposed optimal model. Our results show that the solution time of the ECO-Trade algorithm is mostly less than a minute. It also shows that 97% of the solutions generated by the ECO-Trade algorithm are optimal solutions. Furthermore, we analyze the solutions and identify that the algorithm sometimes gets trapped at a local minimum because it alternately sets the microgrid price and quantity as constants. Finally, we describe the reasons of the cost increase by a local minimum and analyze its impact on cost optimization.

KEYWORDS

Smart Homes, Community Microgrid, Demand Side Management (DSM), Peer-to-Peer (P2P) Energy Trading, Bi-Linear Optimization

Share and Cite:

Raisul Alam, M. , St-Hilaire, M. and Kunz, T. (2019) Towards Optimal Planning and Scheduling in Smart Homes. Smart Grid and Renewable Energy, 10, 179-202. doi: 10.4236/sgre.2019.107012.

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journals Menu

Home

About SCIRP

Service

Policies