JOURNAL ARTICLE

Demand Side Energy Management Using Hybrid Chicken Swarm and Bacterial Foraging Optimization Techniques

Abstract

In this paper, we proposed a home energy management (HEM) scheme for minimization in electricity bills and reduction in peak load. This can be achieved by scheduling the usage timings of appliances (APP) for shifting load from peak hours (PHs) to OFF-peak hours (OPHs). In this study we proposed a technique which is hybrid of two bio-inspired optimization techniques chicken swarm optimization (CSO) and bacterial foraging optimization (BFA). Simulation results shows that proposed hybrid technique reduces the cost and load peaks by shifting load from PHs to OPHs and reduction in load peaks.

Keywords:
Foraging Swarm behaviour Computer science Reduction (mathematics) Minification Energy minimization Demand side Scheduling (production processes) Mathematical optimization Peak load Energy consumption Electricity Particle swarm optimization Energy management Energy (signal processing) Automotive engineering Engineering Algorithm Mathematics Electrical engineering Artificial intelligence Ecology Chemistry

Metrics

7
Cited By
0.37
FWCI (Field Weighted Citation Impact)
21
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Building Energy and Comfort Optimization
Physical Sciences →  Engineering →  Building and Construction
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