Two-stage rolling optimization operation strategy for microgrid considering BESU state

To address the poor optimization and high life loss of battery energy storage systems (BESS) in microgrid grid-connected scenarios, this paper proposes a two-stage rolling optimization operation strategy for microgrids, considering the state of battery energy storage unit (BESU). Firstly, a microgri...

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Main Authors: Gang Zhang, Yichen Li, Tuo Xie, Kaoshe Zhang
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:International Journal of Electrical Power & Energy Systems
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Online Access:http://www.sciencedirect.com/science/article/pii/S0142061525000481
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author Gang Zhang
Yichen Li
Tuo Xie
Kaoshe Zhang
author_facet Gang Zhang
Yichen Li
Tuo Xie
Kaoshe Zhang
author_sort Gang Zhang
collection DOAJ
description To address the poor optimization and high life loss of battery energy storage systems (BESS) in microgrid grid-connected scenarios, this paper proposes a two-stage rolling optimization operation strategy for microgrids, considering the state of battery energy storage unit (BESU). Firstly, a microgrid grid-connected instruction set optimization model is established with the objectives of minimizing the number of unqualified periods of grid-connected power scheduling, minimizing the number of unqualified periods of grid-connected power fluctuations, and minimizing the cumulative charging and discharging throughput of BESS. The multi-objective exponential distribution optimizer (MOEDO) is utilized to solve this model. Secondly, considering the number of charge and discharge state conversions, state of charge (SOC) consistency, and charge and discharge efficiency indicators, a BESS power allocation strategy comprising a unit grouping module, a unit screening module, and a power allocation module is designed. The energy valley optimizer (EVO) is employed to optimize the allocation scheme. Finally, in order to solve the optimal compromise decision-making problem, a multi-dimensional evaluation system for the microgrid operation results was constructed, the analytic hierarchy process (AHP) was used to weight the evaluation system, and simulation experiments were carried out using the actual parameters of the microgrid in a specific area. The comparison results show that the proposed strategy can reduce the number of BESS charge and discharge state transitions, improve the SOC consistency level and charge and discharge efficiency while improving the microgrid’s grid-connected performance.
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issn 0142-0615
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publisher Elsevier
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series International Journal of Electrical Power & Energy Systems
spelling doaj-art-27fe978d4fe54f1f90b7f70535966f312025-02-03T04:16:26ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-04-01165110497Two-stage rolling optimization operation strategy for microgrid considering BESU stateGang Zhang0Yichen Li1Tuo Xie2Kaoshe Zhang3Corresponding authors.; School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, ChinaCorresponding authors.; School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, ChinaTo address the poor optimization and high life loss of battery energy storage systems (BESS) in microgrid grid-connected scenarios, this paper proposes a two-stage rolling optimization operation strategy for microgrids, considering the state of battery energy storage unit (BESU). Firstly, a microgrid grid-connected instruction set optimization model is established with the objectives of minimizing the number of unqualified periods of grid-connected power scheduling, minimizing the number of unqualified periods of grid-connected power fluctuations, and minimizing the cumulative charging and discharging throughput of BESS. The multi-objective exponential distribution optimizer (MOEDO) is utilized to solve this model. Secondly, considering the number of charge and discharge state conversions, state of charge (SOC) consistency, and charge and discharge efficiency indicators, a BESS power allocation strategy comprising a unit grouping module, a unit screening module, and a power allocation module is designed. The energy valley optimizer (EVO) is employed to optimize the allocation scheme. Finally, in order to solve the optimal compromise decision-making problem, a multi-dimensional evaluation system for the microgrid operation results was constructed, the analytic hierarchy process (AHP) was used to weight the evaluation system, and simulation experiments were carried out using the actual parameters of the microgrid in a specific area. The comparison results show that the proposed strategy can reduce the number of BESS charge and discharge state transitions, improve the SOC consistency level and charge and discharge efficiency while improving the microgrid’s grid-connected performance.http://www.sciencedirect.com/science/article/pii/S0142061525000481MicrogridBESUNumber of charge and discharge state transitionsSOC consistencyOperation strategy
spellingShingle Gang Zhang
Yichen Li
Tuo Xie
Kaoshe Zhang
Two-stage rolling optimization operation strategy for microgrid considering BESU state
International Journal of Electrical Power & Energy Systems
Microgrid
BESU
Number of charge and discharge state transitions
SOC consistency
Operation strategy
title Two-stage rolling optimization operation strategy for microgrid considering BESU state
title_full Two-stage rolling optimization operation strategy for microgrid considering BESU state
title_fullStr Two-stage rolling optimization operation strategy for microgrid considering BESU state
title_full_unstemmed Two-stage rolling optimization operation strategy for microgrid considering BESU state
title_short Two-stage rolling optimization operation strategy for microgrid considering BESU state
title_sort two stage rolling optimization operation strategy for microgrid considering besu state
topic Microgrid
BESU
Number of charge and discharge state transitions
SOC consistency
Operation strategy
url http://www.sciencedirect.com/science/article/pii/S0142061525000481
work_keys_str_mv AT gangzhang twostagerollingoptimizationoperationstrategyformicrogridconsideringbesustate
AT yichenli twostagerollingoptimizationoperationstrategyformicrogridconsideringbesustate
AT tuoxie twostagerollingoptimizationoperationstrategyformicrogridconsideringbesustate
AT kaoshezhang twostagerollingoptimizationoperationstrategyformicrogridconsideringbesustate