|
|
|
|
|
|
|
|
Title
|
A Modular Framework for Optimal Load Scheduling under Price-Based Demand Response Scheme in Smart Grid
|
|
Sub-Title |
|
|
Subject |
Smart grid; demand response; load scheduling; home energy management,
|
|
Sub-Subject |
|
|
Author |
G. Hafeez, N. Islam, A. Ali, S. Ahmad, M. U. Alimg
|
|
Publish Year |
2019 |
|
Supervisor |
|
|
Diss#. |
10.3390/pr7080499 |
|
Chapters |
|
|
Pages |
499-513 |
|
Text Language |
English |
|
Accession |
|
|
Library Section |
Research Article |
|
Abstract |
With the emergence of the smart grid (SG), real-time interaction is favorable for both
residents and power companies in optimal load scheduling to alleviate electricity cost and peaks in
demand. In this paper, a modular framework is introduced for efficient load scheduling. The proposed
framework is comprised of four modules: power company module, forecaster module, home energy
management controller (HEMC) module, and resident module. The forecaster module receives
a demand response (DR), information (real-time pricing scheme (RTPS) and critical peak pricing
scheme (CPPS)), and load from the power company module to forecast pricing signals and load.
The HEMC module is based on our proposed hybrid gray wolf-modified enhanced differential
evolutionary (HGWmEDE) algorithm using the output of the forecaster module to schedule the
household load. Each appliance of the resident module receives the schedule from the HEMC module.
In a smart home, all the appliances operate according to the sch
|
|
Catalogue
|
Books
|
|
Periodicals
|
Newspapers
|
Publications
|
|
Research Papers
|
|
|
|
|