Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer

The increase in demand for MicroGrids (MGs) is a significant factor in the provision of electricity in the future, mainly due to the use of renewable energy sources, which reduces the release of hazardous gases. The grid-connected MG operation is the most cost-effective and reliable because it activ...

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Vydané v:Energy reports Ročník 9; s. 5721 - 5740
Hlavní autori: Sathish Kumar, D., Premkumar, M., Kumar, C., Muyeen, S.M.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.12.2023
Elsevier
Predmet:
Chaos
Combined heat and power system
Levy distribution
Optimization
Residential microgrid
Scheduling
Chaos
DE
RT
STD
DG
PV
FRT
CHP
Optimization
Combined heat and power system
Levy distribution
HSA
PLR
MG
GWO
CCA
SSA
GSO
TLBO
WOA
HSS
EMS
Scheduling
PSO
HES
Residential microgrid
BESS
FC
ARO
LFCARO
ISSN:2352-4847, 2352-4847
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Popis
Shrnutí:The increase in demand for MicroGrids (MGs) is a significant factor in the provision of electricity in the future, mainly due to the use of renewable energy sources, which reduces the release of hazardous gases. The grid-connected MG operation is the most cost-effective and reliable because it actively involves the grid buying and selling power, lowering the electricity cost of the MG. This study describes a residential thermal/electrical home energy system comprising a battery energy storage system and a combined heat and power fuel cell. The optimal planning of various energy resources is scheduled by a new optimization algorithm called Levy Flight and Chaos-assisted Artificial Rabbits Optimization (LFCARO), resulting in the lowest operational cost of this combined power system. The operating cost of a residential building is reduced by using a day-ahead scheduling process for controlling multiple energy sources to create a reliable look-up table that estimates the best schedule for the distributed energy sources at each time frame. The impact of various electricity prices for obtaining energy from the primary grid on the system’s operating costs is examined. The efficiency of LFCARO is compared with other algorithms, and the results show that LFCARO performs better than other algorithms. The execution time of the proposed LFCARO is less than 1 sec. for 10 numerical problems and less than 1.5 sec. for the resource scheduling of residential distribution systems. Based on the average Friedman’s ranking test values, the proposed algorithm stands first with 1.82 for numerical and real-world scheduling problems. [Display omitted] •A single-objective optimal scheduling strategy for residential building distributed energy source systems is established.•The strategy considers the cost minimization of the fuel cell, battery energy storage systems, utility, and natural gas as the objective function.•The model considers the different equality and inequality constraints.•An improved artificial rabbit optimization algorithm is proposed using the Levy flight mechanism and chaotic drift for resource scheduling.•Performance comparison is made among state-of-the-art algorithms to prove the superiority of the proposed algorithm.
ISSN:2352-4847
2352-4847
DOI:10.1016/j.egyr.2023.05.004