A Layered Approach for Enabling Demand Side Management in Smart Grid

Li, Dan; Sun, Hongjian; Chiu, Wei-Yu

Abstract

Smart grid (SG) represents intelligent technologies used to address the climate change. Demand side management (DSM) is an essential part of the SG. This paper establishes a layered model for the DSM. The model involves three participants: power generators, including renewable energy sources, demand response (DR) aggregator, and consumers. The revenue of the DR aggregator is analyzed. The discomfortable level caused by the DSM is considered for consumers. This model leads to a multiobjective (MO) problem. An MO evolutionary algorithm is used to find the Pareto front, facilitating the selection of a fair solution. Simulation results illustrate the feasibility of the proposed approach.

Citation

Li, D., Sun, H., & Chiu, W.-Y. (2016, January). A Layered Approach for Enabling Demand Side Management in Smart Grid. Presented at 2016 International Conference on Control, Automation and Information Sciences (ICCAIS), Ansan, Korea

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2016 International Conference on Control, Automation and Information Sciences (ICCAIS)
• Acceptance Date: Sep 15, 2016
• Online Publication Date: Jan 19, 2017
• Publication Date: Jan 19, 2017
• Deposit Date: Mar 22, 2017
• Publicly Available Date: Mar 23, 2017
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 54-59
• Book Title: 2016 International Conference on Control, Automation and Information Sciences (ICCAIS), 27-29 October 2016, Ansan, Korea.
• DOI: https://doi.org/10.1109/iccais.2016.7822435
• Public URL: https://durham-repository.worktribe.com/output/1148772