Operation analysis of microgrids using an orthogonal array-GA hybrid method

The equipment and operation planning of a compound energy system (microgrid) with renewable energy sources is a dynamic, multivariate, nonlinear problem. Genetic algorithms (GA) provide a facile method for solving such problems and can be easily adapted to complicated energy systems; however, conven...

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Autores principales:	Seizi WATANABE, Shin'ya OBARA
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2016
Materias:	energy system microgrid orthogonal array genetic algorithm experimental design Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/047c1aa8fa354d21a77960bf48501bb9
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spelling	oai:doaj.org-article:047c1aa8fa354d21a77960bf48501bb92021-11-26T06:53:45ZOperation analysis of microgrids using an orthogonal array-GA hybrid method2187-974510.1299/mej.16-00113https://doaj.org/article/047c1aa8fa354d21a77960bf48501bb92016-07-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/3/4/3_16-00113/_pdf/-char/enhttps://doaj.org/toc/2187-9745The equipment and operation planning of a compound energy system (microgrid) with renewable energy sources is a dynamic, multivariate, nonlinear problem. Genetic algorithms (GA) provide a facile method for solving such problems and can be easily adapted to complicated energy systems; however, conventional GAs require a long runtime when the microgrid contains numerous energy sources and the solution must be highly accurate. This work introduces a preliminary step in which experimental design techniques, namely, an orthogonal array experiment and a factorial-effect chart are used to find an operation method that is close to the optimal solution for the energy system. The optimal operation solution is determined by using the operation method obtained from the orthogonal array experiment as the initial generation of chromosomes for the conventional GA. This proposed method does not find a strictly mathematical optimal solution, but the quasi-optimum solution is far more accurate than that from convention GAs and can be used industrially. The characteristics of the output power sources are found to strongly affect the analytic accuracy for the example of a microgrid.Seizi WATANABEShin'ya OBARAThe Japan Society of Mechanical Engineersarticleenergy systemmicrogridorthogonal arraygenetic algorithmexperimental design Mechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 3, Iss 4, Pp 16-00113-16-00113 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	energy system microgrid orthogonal array genetic algorithm experimental design Mechanical engineering and machinery TJ1-1570
spellingShingle	energy system microgrid orthogonal array genetic algorithm experimental design Mechanical engineering and machinery TJ1-1570 Seizi WATANABE Shin'ya OBARA Operation analysis of microgrids using an orthogonal array-GA hybrid method
description	The equipment and operation planning of a compound energy system (microgrid) with renewable energy sources is a dynamic, multivariate, nonlinear problem. Genetic algorithms (GA) provide a facile method for solving such problems and can be easily adapted to complicated energy systems; however, conventional GAs require a long runtime when the microgrid contains numerous energy sources and the solution must be highly accurate. This work introduces a preliminary step in which experimental design techniques, namely, an orthogonal array experiment and a factorial-effect chart are used to find an operation method that is close to the optimal solution for the energy system. The optimal operation solution is determined by using the operation method obtained from the orthogonal array experiment as the initial generation of chromosomes for the conventional GA. This proposed method does not find a strictly mathematical optimal solution, but the quasi-optimum solution is far more accurate than that from convention GAs and can be used industrially. The characteristics of the output power sources are found to strongly affect the analytic accuracy for the example of a microgrid.
format	article
author	Seizi WATANABE Shin'ya OBARA
author_facet	Seizi WATANABE Shin'ya OBARA
author_sort	Seizi WATANABE
title	Operation analysis of microgrids using an orthogonal array-GA hybrid method
title_short	Operation analysis of microgrids using an orthogonal array-GA hybrid method
title_full	Operation analysis of microgrids using an orthogonal array-GA hybrid method
title_fullStr	Operation analysis of microgrids using an orthogonal array-GA hybrid method
title_full_unstemmed	Operation analysis of microgrids using an orthogonal array-GA hybrid method
title_sort	operation analysis of microgrids using an orthogonal array-ga hybrid method
publisher	The Japan Society of Mechanical Engineers
publishDate	2016
url	https://doaj.org/article/047c1aa8fa354d21a77960bf48501bb9
work_keys_str_mv	AT seiziwatanabe operationanalysisofmicrogridsusinganorthogonalarraygahybridmethod AT shinaposyaobara operationanalysisofmicrogridsusinganorthogonalarraygahybridmethod
_version_	1718409698441428992

Operation analysis of microgrids using an orthogonal array-GA hybrid method

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