Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/64320
Title: Adaptive demand response to improve economic performance of microgrids
Authors: Gao, Yue
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2015
Abstract: Recently, increased attention has been focused on the demand response (DR), especially in the smart grid environment, where bi-directional communication can be implemented between smart meters and power grid. The smart household appliances can be controlled to actively respond to the control and frequency regulation requirement of the power grid. The coordinated control can be carried out by using quick response resources, spinning reserves, and a comprehensive DR scheme for frequency regulation. Demand response is adopted as the first load shedding option to avoid the unexpected load shedding, thus the economic performance can be improved. Through the coordination of smart demand response with spinning reserves, the substantial drop of system frequency can be prevented, and the frequency could be restored back to around the rated value quickly, thus the flexibility and reliability of power grid can be improved. Finally, the consumers’ comfort is considered to evaluate the demand response involved in the frequency regulation. Simulations have been carried out on a low order system frequency response (SFR) model. The simulation results show that the proposed scheme could restrict the fault-caused frequency drop quickly, enhance the security of the power system and effectively reduce the expense for load shedding.
URI: http://hdl.handle.net/10356/64320
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
final_final_draft.docx.pdf
  Restricted Access
2.25 MBAdobe PDFView/Open

Page view(s)

468
Updated on Mar 17, 2025

Download(s) 50

26
Updated on Mar 17, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.