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| Content Provider | IET Digital Library |
|---|---|
| Author | Kuzlu, Murat |
| Abstract | A home energy management (HEM) system plays an important role for residential demand response (DR) applications in the smart grid environment. Its role includes the ability to manage end-use electrical energy (kWh) and demand (kW) based on utility signals, load priorities and customer preference. This study presents a score-based intelligent HEM algorithm for residential DR applications and the impact of the HEM system operation on customer comfort in various HEM decision-making intervals (i.e. 1, 5, 10 and 15 min) at various DR requirements. The proposed algorithm manages selected household loads according to customers’ preset comfort level settings and keeps the total household power consumption below a certain limit. Results indicate that the more stringent DR requirements lead to the higher level of customer comfort violations during a DR event. In addition, the longer HEM decision-making intervals may lead to the higher level of customer comfort violations. |
| Starting Page | 627 |
| Ending Page | 635 |
| Page Count | 9 |
| ISSN | 17518687 |
| Volume Number | 9 |
| e-ISSN | 17518695 |
| Issue Number | Issue 7, Apr (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/9/7 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2014.0206 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2015-02-06 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Customer Comfort Violation Decision Making Demand Side Management End-use Electrical Energy HEM Decision-making Interval HEM Operation Impact Home Automation Home Energy Management System Household Load Household Power Consumption Power Consumption Power System Economics Power System Managemen Power System Operation Residential Demand Response Application Residential DR Application Score-based Intelligent HEM Algorithm Smart Grid Environment Smart Power Grid |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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