Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


srivathsan_final_thesis.pdf (1.2 MB)

ETD Abstract Container

Abstract Header

Nature Inspired Grey Wolf Optimizer Algorithm for Minimizing Operating Cost in Green Smart Home

Lakshminarayanan, Srivathsan
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438102173

Abstract Details

2015, Master of Science, University of Toledo, Engineering (Computer Science).
In this thesis, a new swarm intelligence based algorithm called Grey Wolf Optimizer (GWO) mimicking the social hierarchy and hunting behavior of grey wolves is used to optimally schedule the operation of Energy Storage Unit (ESU) in a green smart home to reduce the cost of power consumption and to balance the load on the grid. The smart home is primarily powered by the utility, which sends to the customer the hourly prices for the next day before the midnight when the new day rolls in. It is also integrated with local solar panels and wind turbines. Whenever the renewable energy resources are generating power, they can be used for meeting the household demand and to charge the Energy Storage Unit. The excess power generated is sold back to the utility through the grid at the same price at which the power is delivered to the customer during that hour. The GWO algorithm determines when and by how much, the ESU should be charged or discharged for each hour of the day for optimal cost saving. The proposed algorithm was tested with data obtained from the United States Department of Energy for Chicago region. The performance of the GWO algorithm is compared with the well known conventional Particle Swarm Optimization (PSO) Algorithm. The results show that the GWO outperforms the PSO and provides higher cost saving. The proposed method does not impose any restriction on the consumer regarding when to use which appliance, thus providing total freedom and still saving money.
Devinder Kaur (Committee Chair)
Mansoor Alam (Committee Member)
Srinivasa Vemuru (Committee Member)
Artificial Intelligence; Computer Science; Engineering
Smart Grid, Grey Wolf Optimizer, Swarm Intelligence, Green Energy, Evolutionary Algorithm, Natural Computing, Energy Storage, Scheduling, Optimization, Solar, Wind

Recommended Citations

Citations

  • Lakshminarayanan, S. (2015). Nature Inspired Grey Wolf Optimizer Algorithm for Minimizing Operating Cost in Green Smart Home [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438102173

    APA Style (7th edition)

  • Lakshminarayanan, Srivathsan. Nature Inspired Grey Wolf Optimizer Algorithm for Minimizing Operating Cost in Green Smart Home. 2015. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438102173.

    MLA Style (8th edition)

  • Lakshminarayanan, Srivathsan. "Nature Inspired Grey Wolf Optimizer Algorithm for Minimizing Operating Cost in Green Smart Home." Master's thesis, University of Toledo, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438102173

    Chicago Manual of Style (17th edition)

toledo1438102173
5,575
© 2015, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.
Release 3.2.12