Smart Energy Management of Residential Microgrid System by a Novel Hybrid MGWOSCACSA Algorithm

Optimal scheduling of distributed energy resources (DERs) of a low-voltage utility-connected microgrid system is studied in this paper. DERs include both dispatchable fossil-fueled generators and non-dispatchable renewable energy resources. Various real constraints associated with adjustable loads,...

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Published inEnergies (Basel) Vol. 13; no. 13; p. 3500
Main Authors Dey, Bishwajit, García Márquez, Fausto Pedro, Basak, Sourav Kr
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.07.2020
Subjects
Algorithms
Alternative energy sources
Cost control
crow search algorithm
Distributed generation
Energy management
Energy resources
Energy sources
Genetic algorithms
grey wolf optimizer
Linear programming
Load
Loads (forces)
microgrid
Network operating systems
Optimization
renewable energy sources
Residential energy
Scheduling
Search algorithms
Shutdowns
sine cosine algorithm
Statistical analysis
Test systems
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Summary:Optimal scheduling of distributed energy resources (DERs) of a low-voltage utility-connected microgrid system is studied in this paper. DERs include both dispatchable fossil-fueled generators and non-dispatchable renewable energy resources. Various real constraints associated with adjustable loads, charging/discharging limitations of battery, and the start-up/shut-down time of the dispatchable DERs are considered during the scheduling process. Adjustable loads are assumed to the residential loads which either operates throughout the day or for a particular period during the day. The impact of these loads on the generation cost of the microgrid system is studied. A novel hybrid approach considers the grey wolf optimizer (GWO), sine cosine algorithm (SCA), and crow search algorithm (CSA) to minimize the overall generation cost of the microgrid system. It has been found that the generation costs rise 50% when the residential loads were included along with the fixed loads. Active participation of the utility incurred 9–17% savings in the system generation cost compared to the cases when the microgrid was operating in islanded mode. Finally, statistical analysis has been employed to validate the proposed hybrid Modified Grey Wolf Optimization-Sine Cosine Algorithm-Crow Search Algorithm (MGWOSCACSA) over other algorithms used.
ISSN:1996-1073
1996-1073
DOI:10.3390/en13133500