Multi-layer coordinated optimization of integrated energy system with electric vehicles based on feedback correction

The integrated energy system with electric vehicles can realize multi-energy coordination and complementarity, and effectively promote the realization of low-carbon environmental protection goals. However, the temporary change of vehicle travel plan will have an adverse impact on the system. Therefo...

Full description

Bibliographic Details
Main Authors: Shiduo Jia, Xiaoning Kang, Jinxu Cui, Bowen Tian, Jiawei Zhang, Shuwen Xiao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.1008042/full
_version_ 1798033788876357632
author Shiduo Jia
Xiaoning Kang
Jinxu Cui
Bowen Tian
Jiawei Zhang
Shuwen Xiao
author_facet Shiduo Jia
Xiaoning Kang
Jinxu Cui
Bowen Tian
Jiawei Zhang
Shuwen Xiao
author_sort Shiduo Jia
collection DOAJ
description The integrated energy system with electric vehicles can realize multi-energy coordination and complementarity, and effectively promote the realization of low-carbon environmental protection goals. However, the temporary change of vehicle travel plan will have an adverse impact on the system. Therefore, a multi-layer coordinated optimization strategy of electric-thermal-hydrogen integrated energy system including vehicle to grid (V2G) load feedback correction is proposed. The strategy is based on the coordination of three-level optimization. The electric vehicle charging and discharging management layer comprehensively considers the variance of load curve and the dissatisfaction of vehicle owners, and the charging and discharging plan is obtained through multi-objective improved sparrow search algorithm, which is transferred to the model predictive control rolling optimization layer. In the rolling optimization process, according to the actual situation, selectively enter the V2G load feedback correction layer to update V2G load, so as to eliminate the impact of temporary changes in electric vehicle travel plans. Simulation results show that the total operating cost with feedback correction is 4.19% lower than that without feedback correction and tracking situation of tie-line planned value is improved, which verifies the proposed strategy.
first_indexed 2024-04-11T20:35:23Z
format Article
id doaj.art-9d8b6299862c4827a17975d0461d778f
institution Directory Open Access Journal
issn 2296-598X
language English
last_indexed 2024-04-11T20:35:23Z
publishDate 2022-09-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Energy Research
spelling doaj.art-9d8b6299862c4827a17975d0461d778f2022-12-22T04:04:23ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-09-011010.3389/fenrg.2022.10080421008042Multi-layer coordinated optimization of integrated energy system with electric vehicles based on feedback correctionShiduo JiaXiaoning KangJinxu CuiBowen TianJiawei ZhangShuwen XiaoThe integrated energy system with electric vehicles can realize multi-energy coordination and complementarity, and effectively promote the realization of low-carbon environmental protection goals. However, the temporary change of vehicle travel plan will have an adverse impact on the system. Therefore, a multi-layer coordinated optimization strategy of electric-thermal-hydrogen integrated energy system including vehicle to grid (V2G) load feedback correction is proposed. The strategy is based on the coordination of three-level optimization. The electric vehicle charging and discharging management layer comprehensively considers the variance of load curve and the dissatisfaction of vehicle owners, and the charging and discharging plan is obtained through multi-objective improved sparrow search algorithm, which is transferred to the model predictive control rolling optimization layer. In the rolling optimization process, according to the actual situation, selectively enter the V2G load feedback correction layer to update V2G load, so as to eliminate the impact of temporary changes in electric vehicle travel plans. Simulation results show that the total operating cost with feedback correction is 4.19% lower than that without feedback correction and tracking situation of tie-line planned value is improved, which verifies the proposed strategy.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1008042/fullelectric vehicleV2Gelectric-thermal-hydrogen integrated energy systemmultilayer coordinated optimizationsparrow search algorithm
spellingShingle Shiduo Jia
Xiaoning Kang
Jinxu Cui
Bowen Tian
Jiawei Zhang
Shuwen Xiao
Multi-layer coordinated optimization of integrated energy system with electric vehicles based on feedback correction
Frontiers in Energy Research
electric vehicle
V2G
electric-thermal-hydrogen integrated energy system
multilayer coordinated optimization
sparrow search algorithm
title Multi-layer coordinated optimization of integrated energy system with electric vehicles based on feedback correction
title_full Multi-layer coordinated optimization of integrated energy system with electric vehicles based on feedback correction
title_fullStr Multi-layer coordinated optimization of integrated energy system with electric vehicles based on feedback correction
title_full_unstemmed Multi-layer coordinated optimization of integrated energy system with electric vehicles based on feedback correction
title_short Multi-layer coordinated optimization of integrated energy system with electric vehicles based on feedback correction
title_sort multi layer coordinated optimization of integrated energy system with electric vehicles based on feedback correction
topic electric vehicle
V2G
electric-thermal-hydrogen integrated energy system
multilayer coordinated optimization
sparrow search algorithm
url https://www.frontiersin.org/articles/10.3389/fenrg.2022.1008042/full
work_keys_str_mv AT shiduojia multilayercoordinatedoptimizationofintegratedenergysystemwithelectricvehiclesbasedonfeedbackcorrection
AT xiaoningkang multilayercoordinatedoptimizationofintegratedenergysystemwithelectricvehiclesbasedonfeedbackcorrection
AT jinxucui multilayercoordinatedoptimizationofintegratedenergysystemwithelectricvehiclesbasedonfeedbackcorrection
AT bowentian multilayercoordinatedoptimizationofintegratedenergysystemwithelectricvehiclesbasedonfeedbackcorrection
AT jiaweizhang multilayercoordinatedoptimizationofintegratedenergysystemwithelectricvehiclesbasedonfeedbackcorrection
AT shuwenxiao multilayercoordinatedoptimizationofintegratedenergysystemwithelectricvehiclesbasedonfeedbackcorrection