Microgrid energy management using metaheuristic optimization algorithms

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10254703" target="_blank" >RIV/61989100:27240/23:10254703 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1568494622010304?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1568494622010304?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.asoc.2022.109981" target="_blank" >10.1016/j.asoc.2022.109981</a>

Result language

angličtina

Original language name

Microgrid energy management using metaheuristic optimization algorithms

Original language description

This article addresses the economic dispatch problem of microgrids. Firstly, it presents the application of both traditional and newly introduced metaheuristic optimization algorithms to solve for the optimal power flow problem for the IEEE 30 bus system after which the best performing algorithm is chosen for cost-effective economic dispatch in a microgrid designed upon the microgrid facility present at Wroclaw University of Science and Technology. All algorithms investigated have been combined with the academic power analysis tool, MATPOWER. The idea behind the approach is to find a compromise between the solution search capabilities of the metaheuristics and the optimized performance of MATPOWER. The algorithms explored include 3 traditional algorithms which are the genetic algorithm, particle swarm optimization and mixed integer distributed ant colony optimization and 2 recently developed algorithms which are the political optimizer and the Lichtenberg algorithm. Hyperparameter tuning was carried out for all investigated algorithms. The results have shown that the ant-colony based algorithm is the most suitable of all the choices in terms of having the best convergence time of 19.17 s, a final solution value of 801.57 ($/h) and reliability in terms of reproducing the best solution for the test system. It is then used for economic dispatch which is guided by an objective function that minimizes the levelized cost of energy in the microgrid.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied Soft Computing

ISSN

1568-4946

e-ISSN

1872-9681

Volume of the periodical

134

Issue of the periodical within the volume

February 2023

Country of publishing house

US - UNITED STATES

Number of pages

18

Pages from-to

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UT code for WoS article

000969150900001

EID of the result in the Scopus database

2-s2.0-85145440189