DSM Using Fish Swarm Optimization and Harmony Search Algorithm Using HEMS in Smart Grid

Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 8)


Proliferation in smart grid gave rise to different Demand Side Management (DSM) techniques, designed for type of sectors i.e. domestic, trade and commercial sectors, very effective in smoothening load profile of the consumers in grid area network. To resolve energy crises in residential areas, smart homes are introduced; contains Smart Meters, allows bidirectional communication between utilities and customers. For this purpose, different heuristic techniques are approached to overcome state of the art energy crisis which provide best optimal solution. The purpose of our implementation is to reduce the total cost and Peak to Average Ratio value while keeping in mind that there is a trade-off of these with waiting time up to an acceptable limit. Our proposed scheme uses heuristic technique Harmony Search Algorithm with Fish Swarm Algorithm to achieve the defined goals. Real time prizing signal is used for bill calculation in Advanced Metering Infrastructure.


Harmony Search Algorithm (HSA) Smart Grid (SG) Home Energy Management System (HEMS) Demand Side Management Multi-objective Mixed Integer Linear Programming (MOMILP) 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan

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