Cost and load reduction using heuristic algorithms in smart grid

Zafar Iqbal, Nadeem Javaid, Mobushir Riaz Khan, Imran Ahmed, Zahoor Ali Khan, Umar Qasim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Due to smart grid applications the consumers and producers are able to meet the demand of each others and thus take part in demand side management and demand response program. Hence smart grid leads to optimization of energy consumption and reduce high cost in today extensive demand of energy. In this research work we are reducing electricity consumption cost and load consumption using scheduling the appliances. The twenty appliances are used to schedule their energy consumption and load using heuristics techniques i.e. binary particle optimization, genetic algorithm and wind driven optimization, using the same data set for each technique and their results are compared with each other in order to find which technique do better optimization. Simulations are performed in matlab to show the cost and load reduction by the above three techniques and validate the experiment. The simulation results show that binary particle swarm optimization perform better than the other two techniques and wind driven optimization is better than genetic algorithm but not able to perform as binary particle swarm optimization, similarly genetic algorithm is least efficient as compared to both methods. Our research work is beneficial to meet the demand side management and help in reducing electricity cost and load for consumers.

Original languageEnglish
Title of host publicationProceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
EditorsAntonio J. Jara, Makoto Takizawa, Yann Bocchi, Leonard Barolli, Tomoya Enokido
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-30
Number of pages7
ISBN (Electronic)9781509018574
DOIs
Publication statusPublished - 17 May 2016
Externally publishedYes
Event30th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016 - Crans-Montana, Switzerland
Duration: 23 Mar 201625 Mar 2016

Publication series

NameProceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016

Conference

Conference30th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
Country/TerritorySwitzerland
CityCrans-Montana
Period23/03/1625/03/16

Keywords

  • Appliance Scheduling
  • Binary Particle Swarm Optimization
  • Cost Reduction
  • Demand Response Program
  • Demand Side Management
  • Genetic Algorithm
  • Load Reduction
  • Smart Grid
  • Wind Driven Optimization

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