Demand side management for household equipment's

This paper aims to minimize the peak load at utility as well as reduce the electricity bill of residential consumers. A Swarm Intelligent based Particle Swarm Optimization methodology is used to minimize the peak load at the utility, for that an effective load shifting Demand Side Management technique is used. In this article, the residential consumer co-operates with the utility to manage their energy demand by scheduling the shift-able home appliances based on consumer's priority. The proposed article considers 14 types of shift-able appliances which reschedule for the next day to manage the demand. Simulation work shows that reduction in consumed power during peak load period and electricity bill minimization of the consumer.

[1]  Nandkishor Kinhekar,et al.  Demand side management for residential consumers , 2013, 2013 IEEE Power & Energy Society General Meeting.

[2]  Lingfeng Wang,et al.  A demand side management based simulation platform incorporating heuristic optimization for management of household appliances , 2012 .

[3]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[4]  C. Vlek,et al.  A review of intervention studies aimed at household energy conservation , 2005 .

[5]  N. C. Sahoo,et al.  Demand side management of residential loads in a smart grid using 2D particle swarm optimization technique , 2015, 2015 IEEE Power, Communication and Information Technology Conference (PCITC).

[6]  Vijay Gupta,et al.  Optimal contract design for incentive-based demand response , 2016, 2016 American Control Conference (ACC).

[7]  M. Pedrasa,et al.  Scheduling of Demand Side Resources Using Binary Particle Swarm Optimization , 2009, IEEE Transactions on Power Systems.

[8]  Multiobjective demand side management solutions for utilities with peak demand deficit , 2014 .

[9]  Nandkishor Kinhekar,et al.  Particle swarm optimization based demand response for residential consumers , 2015, 2015 IEEE Power & Energy Society General Meeting.

[10]  T. Logenthiran,et al.  Particle swarm optimization for demand side management in smart grid , 2015, 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).