A new meta-heuristic for economic dispatch of integrated energy system with multi-type energy storages

Dispatch optimization of the integrated energy system with multi-type energy storages, as an essential issue to optimum energy management, is a high-dimensional complex nonlinear problem with time-series constraints. To overcome the problem, a new meta-heuristic method is presented in this paper. Th...

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Main Authors: Liang Tao, Yin Xiaodong, Ge Qun
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/09/e3sconf_iaecst20_01026.pdf
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author Liang Tao
Yin Xiaodong
Ge Qun
author_facet Liang Tao
Yin Xiaodong
Ge Qun
author_sort Liang Tao
collection DOAJ
description Dispatch optimization of the integrated energy system with multi-type energy storages, as an essential issue to optimum energy management, is a high-dimensional complex nonlinear problem with time-series constraints. To overcome the problem, a new meta-heuristic method is presented in this paper. The proposed method introduces several heuristic rules, called as maximum storage utilization heuristic rules, and embeds them into an adaptive GA to improve the quality of initial feasible solutions and new solutions in each iteration. In contrast to existing methods, the new method guarantees the convergence to an optimal solution with low computational cost. Simulation results indicate that the proposed method provides excellent performance in solving economic dispatch of integrated energy system with multi-type energy storages.
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spelling doaj.art-53b3425fc3c14939a50fa64e67a428b82022-12-21T23:04:38ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012330102610.1051/e3sconf/202123301026e3sconf_iaecst20_01026A new meta-heuristic for economic dispatch of integrated energy system with multi-type energy storagesLiang Tao0Yin Xiaodong1Ge Qun2Shandong Electric Power Engineering Consulting Institute Corp., Ltd.Shandong Electric Power Engineering Consulting Institute Corp., Ltd.Shandong Electric Power Engineering Consulting Institute Corp., Ltd.Dispatch optimization of the integrated energy system with multi-type energy storages, as an essential issue to optimum energy management, is a high-dimensional complex nonlinear problem with time-series constraints. To overcome the problem, a new meta-heuristic method is presented in this paper. The proposed method introduces several heuristic rules, called as maximum storage utilization heuristic rules, and embeds them into an adaptive GA to improve the quality of initial feasible solutions and new solutions in each iteration. In contrast to existing methods, the new method guarantees the convergence to an optimal solution with low computational cost. Simulation results indicate that the proposed method provides excellent performance in solving economic dispatch of integrated energy system with multi-type energy storages.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/09/e3sconf_iaecst20_01026.pdf
spellingShingle Liang Tao
Yin Xiaodong
Ge Qun
A new meta-heuristic for economic dispatch of integrated energy system with multi-type energy storages
E3S Web of Conferences
title A new meta-heuristic for economic dispatch of integrated energy system with multi-type energy storages
title_full A new meta-heuristic for economic dispatch of integrated energy system with multi-type energy storages
title_fullStr A new meta-heuristic for economic dispatch of integrated energy system with multi-type energy storages
title_full_unstemmed A new meta-heuristic for economic dispatch of integrated energy system with multi-type energy storages
title_short A new meta-heuristic for economic dispatch of integrated energy system with multi-type energy storages
title_sort new meta heuristic for economic dispatch of integrated energy system with multi type energy storages
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/09/e3sconf_iaecst20_01026.pdf
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