Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration

Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration

Aiming at the important research topic of optimal scheduling in the microgrid field, the general model for multiobjective dynamic optimal scheduling of a microgrid is established with the objective of minimizing economic and environmental costs. On this basis, the model is organically integrated wit...

Full description

Bibliographic Details
Main Authors: Bo Li, Jue Wang, Nan Xia
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2020/7120352
id doaj-37e5a219c4e34b0b9ebf73a6a236c0d0
record_format Article
spelling doaj-37e5a219c4e34b0b9ebf73a6a236c0d02020-11-25T03:41:36ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/71203527120352Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive MigrationBo Li0Jue Wang1Nan Xia2College of Information Science and Engineering, Dalian Polytechnic University, Dalian, ChinaCollege of Information Science and Engineering, Dalian Polytechnic University, Dalian, ChinaCollege of Information Science and Engineering, Dalian Polytechnic University, Dalian, ChinaAiming at the important research topic of optimal scheduling in the microgrid field, the general model for multiobjective dynamic optimal scheduling of a microgrid is established with the objective of minimizing economic and environmental costs. On this basis, the model is organically integrated with constraint handling technology, multiobjective optimization, and biogeography-based optimization algorithm, and then a constrained multiobjective evolutionary model suitable for biogeography-based optimization is further established. The corresponding constraint handling mechanism, the determination method of habitat suitability index, and migration strategy are improved, and the convergence performance and the distribution uniformity of Pareto frontier for multiobjective evolutionary algorithm are effectively enhanced. Applied to the optimal scheduling of typical microgrid systems, the effectiveness of the proposed model and method is verified.http://dx.doi.org/10.1155/2020/7120352
collection DOAJ
language English
format Article
sources DOAJ
author Bo Li
Jue Wang
Nan Xia
spellingShingle Bo Li
Jue Wang
Nan Xia
Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration
Mathematical Problems in Engineering
author_facet Bo Li
Jue Wang
Nan Xia
author_sort Bo Li
title Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration
title_short Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration
title_full Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration
title_fullStr Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration
title_full_unstemmed Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration
title_sort optimal scheduling of a microgrid using multiobjective biogeography-based optimization model and algorithm with adaptive migration
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2020-01-01
description Aiming at the important research topic of optimal scheduling in the microgrid field, the general model for multiobjective dynamic optimal scheduling of a microgrid is established with the objective of minimizing economic and environmental costs. On this basis, the model is organically integrated with constraint handling technology, multiobjective optimization, and biogeography-based optimization algorithm, and then a constrained multiobjective evolutionary model suitable for biogeography-based optimization is further established. The corresponding constraint handling mechanism, the determination method of habitat suitability index, and migration strategy are improved, and the convergence performance and the distribution uniformity of Pareto frontier for multiobjective evolutionary algorithm are effectively enhanced. Applied to the optimal scheduling of typical microgrid systems, the effectiveness of the proposed model and method is verified.
url http://dx.doi.org/10.1155/2020/7120352
work_keys_str_mv AT boli optimalschedulingofamicrogridusingmultiobjectivebiogeographybasedoptimizationmodelandalgorithmwithadaptivemigration
AT juewang optimalschedulingofamicrogridusingmultiobjectivebiogeographybasedoptimizationmodelandalgorithmwithadaptivemigration
AT nanxia optimalschedulingofamicrogridusingmultiobjectivebiogeographybasedoptimizationmodelandalgorithmwithadaptivemigration
_version_ 1715143880133836800

Similar Items