Abstract
dc:description.abstractHigh prices are associated with the peak electricity demand and thus, price can be used as an indicator of power system condition in the peak load management programs. This paper investigates the potential of peak load management based on price-responsive load control for the residential sector. The Computer Aided Home Energy Management (CAHEM) system controls residential demand in response to the hourly market data including price, load and temperature data. A fuzzy demand controller incorporates customer preferences in determining operational settings of residential appliances. A prototype CAHEM system is demonstrated using X10 home networking technology. The aggregate level effects of the CAHEM system on peak load reduction are simulated for the Pennsylvania-New Jersey-Maryland market during the summer of 1999. The study also estimates the optimal level of large-scale adoption of the CAHEM system.
Degree
thesis:*- Name thesis:degree_name
- MS
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Lane Department of Computer Science and Electrical Engineering
- Year dc:date.available
- 2005
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Moholkar, Asawari A.
- Contributors dc:contributor
-
- Powsiri Klinkhachorn.
Subjects
dc:subject × 2Identifiers
dc:identifier.*- Identifier
- https://researchrepository.wvu.edu/etd/1638
- OAI identifier oai:identifier
- oai:researchrepository.wvu.edu:etd-2641