Networked Distributed Optimization for Demand Response in Residential Load Control
Alex Cohen1, Payam Forghani2, Wang Xing3

1Alex Cohen, Department of Electrical and Computer Engineering, University of Auckland, Auckland New Zealand.
2Payam Forghani, Department of Information Engineering, Shenzhen University, Shenzhen China.
3Wang Xing, Department of Computer Science and Technology, Huangshi China.
Manuscript received on 10 September 2013 | Revised Manuscript received on 19 September 2013 | Manuscript Published on 30 September 2013 | PP: 85-88 | Volume-3 Issue-4, September 2013 | Retrieval Number: D1198093413/13©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Demand response (DR) will be one of the most important components in future smart grids. DR in a smart grid can reduce peak load and adapt flexible demand to generation fluctuations. Although DR reduces the energy bills for consumers of loads, the utility will also be reduced because of the load reduction. Centralized and distributed control algorithms have been proposed to minimize the utility loss for the consumers, while achieving the load management target. We propose a multi-level distributed load optimization system that serves this purpose. The optimization problem is formulated and solved using primal-dual decomposition. When the number of consumers in the system is very large, an event-triggered method is used to guarantee system performance by reducing the communication frequency.
Keywords: Smart Grid, Demand Response, Event-Triggered Control, Optimization.

Scope of the Article: Discrete Optimization