Paper Info
Title
Horse Herd Optimization Algorithm for Fuel Constrained Day-ahead Scheduling of Isolated Nanogrid
Abstract
Day-ahead scheduling of isolated nanogrid (NG) is an important task in power system. Owing to slowly lessening of fossil fuel, the profitable use of available fuel for electric power generation has turn out to be an extremely important concern of electric power utilities. This paper suggests horse herd optimization algorithm (HOA) to solve fuel constrained day-ahead scheduling of isolated nanogrid (NG) for five neighboring homes. NG comprises diesel generators, solar PV plants, battery energy storage system (BESS) and plug-in electric vehicles (PEVs). Simulation results of the test system have been compared with those obtained from social group entropy optimization, self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients, fast convergence evolutionary programming and differential evolution. It has been observed from the comparison that the suggested HOA has the capacity to give better solution.
Year
DOI
Venue
2021
10.1080/08839514.2021.1975392
APPLIED ARTIFICIAL INTELLIGENCE
DocType
Volume
Issue
Journal
35
15
ISSN
Citations 
PageRank 
0883-9514
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Subhamay Basu100.68
Mousumi Basu200.34