Volume 16, Issue 1, June 2015, Pages 132–144
S. Muthukani1 and M. Krishna Kumar2
1 PG Scholar, Department of Electronics & Communication Engineering, Chandy College of Engineering, Thoothukudi, Tamilnadu, India
2 Assistant Professor, Department of Electronics & Communication Engineering, Chandy College of Engineering, Thoothukudi, Tamilnadu, India
Original language: English
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This work carries a novel method that uses demands response strategies to develop and evaluate the consumer's perspective through a computational experiment approach. The price of electricity is assumed to be a time-varying parameter. The proposed method describes an optimization model that adjusts the hourly load level of consumer with response to hourly electricity prices. This approach has a home energy consumption simulator and a demand response mechanism obtained through optimization, particle swam method, and an integrative computing platform that combines the home energy simulator and MATLAB together for demand response development and evaluation. A lot more number of demand response strategies are developed and evaluated through computational experiment technique. This work investigates and compares characteristics of different demand response strategies and how they are affected by dynamic pricing tariffs, seasons, and weather. A simple bidirectional communication device between the power supplier and the consumer enables the implementation of the proposed model.
Author Keywords: Energy consumption, demand response, dynamic electricity price, modelling, simulation, smart grid.
S. Muthukani1 and M. Krishna Kumar2
1 PG Scholar, Department of Electronics & Communication Engineering, Chandy College of Engineering, Thoothukudi, Tamilnadu, India
2 Assistant Professor, Department of Electronics & Communication Engineering, Chandy College of Engineering, Thoothukudi, Tamilnadu, India
Original language: English
Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This work carries a novel method that uses demands response strategies to develop and evaluate the consumer's perspective through a computational experiment approach. The price of electricity is assumed to be a time-varying parameter. The proposed method describes an optimization model that adjusts the hourly load level of consumer with response to hourly electricity prices. This approach has a home energy consumption simulator and a demand response mechanism obtained through optimization, particle swam method, and an integrative computing platform that combines the home energy simulator and MATLAB together for demand response development and evaluation. A lot more number of demand response strategies are developed and evaluated through computational experiment technique. This work investigates and compares characteristics of different demand response strategies and how they are affected by dynamic pricing tariffs, seasons, and weather. A simple bidirectional communication device between the power supplier and the consumer enables the implementation of the proposed model.
Author Keywords: Energy consumption, demand response, dynamic electricity price, modelling, simulation, smart grid.
How to Cite this Article
S. Muthukani and M. Krishna Kumar, “DEMAND RESPONSE BASED REAL-TIME SCHEDULING FOR HOUSEHOLD ELECTRICAL APPLIANCES,” International Journal of Innovation and Scientific Research, vol. 16, no. 1, pp. 132–144, June 2015.
