Home // International Journal On Advances in Intelligent Systems, volume 9, numbers 1 and 2, 2016 // View article

Appliance Scheduling Optimization for Demand Response

Authors:
Armin Ghasem Azar
Rune Hylsberg Jacobsen

Keywords: Smart grid, demand response, appliance scheduling, knapsack problem, dynamic programming, multi-objective optimization.

Abstract:
The paper studies the challenge of the electricity consumption management in smart grids. It focuses on different impacts of demand response running in the smart grid engaging consumers to participate. The main responsibility of the demand response system is scheduling the operation of appliances of consumers in order to achieve a network-wide optimized performance. Each participating electricity consumer, who owns a set of home appliances, provides the desired expectation of his/her power consumption scenario to the demand response system. It is accompanied with time limits on the flexibility of controllable appliances for shifting their operational time from peak to off-peak periods. The appliance scheduling optimization for demand response is modeled as an optimization problem. It concentrates on reducing the total electricity bills and CO2 emissions as well as flattening the aggregated peak demand at the same time. This paper categorizes the appliances based on shiftability and interruptibility characteristics. It uses information of dwellings to determine an effective appliance scheduling strategy. This strategy gets influenced by grid constraints imposed by distribution system operators. The simulations confirm that scheduling appliances of 100 consumers yields a significant achievement in the peak demand reduction while averagely satisfying the comfort level of consumers.

Pages: 50 to 64

Copyright: Copyright (c) to authors, 2016. Used with permission.

Publication date: June 30, 2016

Published in: journal

ISSN: 1942-2679