Demand Response Management For Power Throttling Air Conditioning Loads In Residential Smart Grids
| Autor: | Chau Yuen, Yawar Ismail Khalid, Naveed Ul Hassan, Shisheng Huang |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Engineering
business.industry Load balancing (electrical power) Bandwidth throttling Systems and Control (eess.SY) Throttle Automotive engineering Demand response Base load power plant Smart grid Peak demand Air conditioning FOS: Electrical engineering electronic engineering information engineering Computer Science - Systems and Control business Simulation |
| Zdroj: | SmartGridComm |
| DOI: | 10.48550/arxiv.1408.1268 |
| Popis: | In this paper we develop an algorithm for peak load reduction to reduce the impact of increased air conditioner usage in a residential smart grid community. We develop Demand Response Management (DRM) plans that clearly spell out the maximum duration as well as maximum severity of inconvenience. We model the air conditioner as a power throttling device and for any given DRM plan we study the impact of increasing the number of power states on the resulting peak load reduction. Through simulations, we find out that adding just one additional state to the basic ON/OFF model, which can throttle power to 50% of the rated air conditioner power, can result in significant amount of peak reduction. However, the peak load that can be reduced is diminishing with the increase in number of states. Furthermore, we also observe the impact of inconvenience duration and inconvenience severity in terms of peak load reduction. These observations can serve as useful guidelines for developing appropriate DRM plans. Comment: 6 pages, 2 figures, 1 table, conference paper |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|